Universiteit van Antwerpen
20/10/2017 - 12:54
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http://www.ua.ac.be/main.aspx?c=.OODE2012&n=105102&ct=105102&e=290432&all=true
Master of Science in Computer Science: Computernetworks and Distributed Systems
To obtain a Master in Computer Science - Computernetworks and Distributed Systems - the student has to acquire a minimum of 120 ECTS-credits: 33 ECTS-credits from the credit list 'Compulsory courses', 30 ECTS-credits from the credit list 'Master thesis', a minimum of 12 ECTS-credits from the credit list 'Elective courses - major', a minimum of 15 credits from the credit list 'Elective courses - minor' and 30 ECTS-credits from one of the options Research, Entrepreneurship or Education.
COMPULSORY COURSES (33 ECTS)
 
 
CodeTitleLanguage of
instruction
SemesterContacthoursCreditsProfessor(s)
2001WETMWNMobile and wireless networksEnglish1st semester
456Blondia,Chris
2001WETSMTIntroduction to performance modellingEnglish2nd semester
456Van Houdt,Benny
2001WETDCPDistributed computingEnglish2nd semester
456Vanmechelen,Kurt
2001WETCOPCompilersEnglish1st/2nd semester
606Janssens,Dirk
2001WETMSIModelling of software-intensive systemsEnglish1st semester
606Vangheluwe,Hans
2003FBDBMWScientific EnglishEnglish2nd semester
283Van Hout,Tom
MASTER THESIS (30 ECTS)
 
 
CodeTitleLanguage of
instruction
SemesterContacthoursCreditsProfessor(s)
2009WETMAPMaster thesis Computer ScienceDutch2nd semester
20030NNB,-
ELECTIVE COURSES - MAJOR (12 ECTS)
 
Universiteit Antwerpen
 
CodeTitleLanguage of
instruction
SemesterContacthoursCreditsProfessor(s)
2001WETAPMAdvanced Performance ModellingEnglish1st semester
456Van Houdt,Benny
2001WETLMWMobile and wireless networks labEnglish1st semester
253Blondia,Chris
2001WETTDCTopics in Distributed ComputingEnglish1st semester
456Broeckhove,Jan
2001WETCLCParallel ComputingEnglish2nd semester
456Broeckhove,Jan
2001WETSCNSeminar computer networksEnglish2nd semester
253Blondia,Chris
2001WETLSNSensor networks labEnglish2nd semester
303Blondia,Chris
KU Leuven
 
CodeTitleLanguage of
instruction
SemesterContacthoursCreditsProfessor(s)
9001KULSRESoftware for Real-time and Embedded SystemsDutch1st semester
374Berbers,Yolande
9001KULCGSCapita Selecta of Distributed SystemsDutch1st semester
264Joosen,Wouter
9001KULIISInternet infrastructureDutch2nd semester
415Mariën,André
9001KULMASMulti-Agent SystemsDutch2nd semester
304Holvoet,Tom
9001KULBNCProtection of networks and computerinfrastructureDutch2nd semester
434Huygens,Christophe
ELECTIVE COURSES - MINOR (15 ECTS)
 
Scientific Background
Students who have chosen the option Entrepreneurship may not choose the course 'Strategic Business Communication' as an elective course because this is already a compulsory course in Entrepreneurship.
 
CodeTitleLanguage of
instruction
SemesterContacthoursCreditsProfessor(s)
2001FBDOODStrategic Business CommunicationDutch1st semester
456Leijten,Mariëlle
2001WETWEFPhilosophy of scienceEnglish2nd semester
303Myin,Erik
2001WETCCWSelected topics of computational scienceEnglish1st semester
253Cuyt,Annie
2001WETBINBioinformaticsDutch2nd semester
303Laukens,Kris
Databases
 
CodeTitleLanguage of
instruction
SemesterContacthoursCreditsProfessor(s)
2002WETGDSAdvanced database systemsEnglish1st semester
456Geerts,Floris F J
2001WETATDCurrent trends in databasesEnglish2nd semester
456Geerts,Floris F J
2001WETGDTAdvanced datamining techniquesEnglish2nd semester
456Goethals,Bart
2001WETDBSDatabase securityEnglish1st semester
253Geerts,Floris F J
2001WETPDBProject DatabasesEnglish2nd semester
456Martin,Theobald
Software Engineering
 
CodeTitleLanguage of
instruction
SemesterContacthoursCreditsProfessor(s)
2001WETMTRModel driven engineeringEnglish1st semester
456Vangheluwe,Hans
2001WETFSPSpecification and verificationEnglish1st semester
456Janssens,Dirk
2001WETSRESoftware reengineeringEnglish2nd semester
456Demeyer,Serge
2001WETCSESelected topics in software engineeringEnglish1st/2nd semester
456Demeyer,Serge
2001WETSWTSoftware TestingEnglish2nd semester
456Demeyer,Serge
OPTIONS (30 ECTS)
The student has to choose 1 option: Research, Entrepreneurship or Education
 
Option Research (30 ECTS)
 
CodeTitleLanguage of
instruction
SemesterContacthoursCreditsProfessor(s)
2003WETOZSResearch Internship 1Dutch2nd semester
18015NNB,-
2004WETOZSResearch Internship 2Dutch2nd semester
18015NNB,-
Option Entrepreneurship (30 ECTS)
 
CodeTitleLanguage of
instruction
SemesterContacthoursCreditsProfessor(s)
2001FBDOODStrategic Business CommunicationDutch1st semester
456Leijten,Mariëlle
2002FBDOODOrganisation managementDutch1st semester
456Matthyssens,Paul
2003FBDOODFinancial management and legal aspectsDutch2nd semester
456Laveren,Eddy
2004FBDOODInnovation and entrepreneurshipDutch1st semester
456Braet,Johan
2005FBDOODProcess management and quality careDutch1st semester
456Kritis,Vassilios
Option Education (30 ECTS)
Compulsory courses (24 ECTS)
 
CodeTitleLanguage of
instruction
SemesterContacthoursCreditsProfessor(s)
6101OIWIDIIntroduction to didacticsDutch1st semester
183Meeus,Wil
6231OIWINFDidactics of computer scienceDutch1st semester
366Deprez,Johan
6400OIWOEFPractice sessionsDutch1st semester
363Janssenswillen,Paul
6102OIWLLBStudent counsellingDutch2nd semester
183Struyf,Elke
6500OIWINLIn-school training: immersionDutch2nd semester
03Struyf,Elke
6103OIWOOBEducational politics and policiesDutch1st semester
183Van Petegem,Peter
6600OIWINSIn-school training: initiationDutch2nd semester
03Rymenans,Rita
Braeckmans,Luc
Simons,Mathea
Janssenswillen,Paul
Meeus,Wil
Pinxten,Annie
Deprez,Johan
Smits,Tom
Schelfhout,Wouter
Elective courses (6 ECTS), to choose from the list below
 
CodeTitleLanguage of
instruction
SemesterContacthoursCreditsProfessor(s)
6304OIWKLMClassroom managementDutch1st semester
183Struyf,Elke
6306OIWOAAEducation for the underprivelegedDutch1st semester
183Mahieu,Paul
6300OIWTELLanguage and learningDutch1st semester
183Rymenans,Rita
6314OIWONTEducational technologyDutch1st semester
183Colpaert,Jozef
 

To obtain a Master in Computer Science - Computernetworks and Distributed Systems - the student has to acquire a minimum of 120 ECTS-credits: 33 ECTS-credits from the credit list 'Compulsory courses', 30 ECTS-credits from the credit list 'Master thesis', a minimum of 12 ECTS-credits from the credit list 'Elective courses - major', a minimum of 15 credits from the credit list 'Elective courses - minor' and 30 ECTS-credits from one of the options Research, Entrepreneurship or Education.

COMPULSORY COURSES (33 ECTS)

 

 

Mobile and wireless networks
Course Code :2001WETMWN
Study domain:Computer Science
Semester:Semester: 1st semester
Contact hours:45
Credits:6
Study load (hours):168
Contract restrictions: No contract restriction
Language of instruction :English
Exam period:exam in the 1st semester
Lecturer(s)Chris Blondia

 


1. Prerequisites

At the start of this course the student should have acquired the following competences:
Specific prerequisites for this course:
The student has a profound knowledge of layered architecture of communication systems. The student has an overview of the most important protocols of each layer, such as ethernet, IP, TCP, IEEE802.11, ... Moreover the student has a rather complete overview of legacy communications systems


2. Learning outcomes

The student has a good insight in the most important characteristics of the PHY, MAC, network and transport layer in wireless and mobile networks. Moreover, the student has a good overview of wireless and mobile networks in use and to be in use in the near future, in the area of public cellular networks, wireless LAN, wireless personal networks, ad hoc networks and sensor networks.

These learning outcomes correspond with the following general learning outcomes for Master in the computer science:
- Analysis and design of large computer science projects: the student has the ability to divide a large problem into smaller problems and to devise a solution for each of these sub-problems
- The student is able to select techniques, methods and architectures for the problem at hand, taking into account
the specific characteristics of the system under study.



3. Course contents

This course consists of two parts. In a first part, important characteristics of the PHY, MAC, network and transport layer of wireless and mobile networks are considered. In addition a number of important protocols for each of these layers are studied. In a second part mobile and wireless networks are discussed. The following systems are studied: cellular networks: UMTS, LTE, TETRA; wireless personal area networks: bluetooth, zigbee; Wireless LAN: WiFi; Wireless MAN: WiMAX; sensornetworks, ad hoc networks.


4. Teaching method

Class contact teaching:
  • Lectures

  • Personal work:
  • Assignments:Individually



  • 5. Assessment method and criteria

    Examination:
  • Written without oral presentation
  • Open book
  • Open-question


  • 6. Study material

    Required reading

    Slides are available on www.pats.ua.ac.be/courses

    Optional reading

    The following study material can be studied on a voluntary basis:
    J.Schiller, "Mobile Communications", Addisson-Wesley W. Stallings, "Wireless Communications and Networks", Prentice Hall


    7. Contact information
    Prof. Dr. C. Blondia chris.blondia@ua.ac.be
    (+)last update: 12/10/2011 11:03 chris.blondia  

    Introduction to performance modelling
    Course Code :2001WETSMT
    Study domain:Computer Science
    Semester:Semester: 2nd semester
    Contact hours:45
    Credits:6
    Study load (hours):168
    Contract restrictions: No contract restriction
    Language of instruction :English
    Exam period:exam in the 2nd semester
    Lecturer(s)Benny Van Houdt

     


    1. Prerequisites

    At the start of this course the student should have acquired the following competences:
    Specific prerequisites for this course:
    This course introduces various fundamental concepts to develop stochastic models used to make design decisions in communication systems. These include the Bernoulli/Poisson process, renewal theory and Markov chains,  Erlang loss models, etc. Some elementary knowledge of probability theory is a plus, but not a prerequisite.


    2. Learning outcomes

    Apart from making the students acquainted with some elementary modeling techniques, such as the Bernoulli/Poisson process, branching processes and Markov chains, our main focus lies on understanding the practical relevance of various mathematical results and techniques. The students must be able to identify suitable problem situations where the proposed techniques are viable as a solution technique, both within and outside the area of communication systems. Developing this ability is the main purpose of the exercise sessions.




    3. Course contents

    This course introduces various fundamental concepts when developing stochastic models, such as the Bernoulli/Poisson process, renewal theory and Markov chains,  Erlang loss models, etc. A table of contents of the course notes is given below:

    BERNOULLI AND POISSON PROCESS
    - Bernoulli process
    - The Poisson process
    - Superposition, random split, random selection
    BRANCHING PROCESSES
    - Branching Processes Theory
    - Single type branching processes
    - Multitype branching processes
    - An Application of Branching Processes
    - Basic Binary Tree Algorithm
    - Modi ed Binary Tree Algorithm

    DISCRETE-TIME MARKOV CHAINS
    - Definition and Basic Properties
    - Communicating States and Classes
    - A Fast Algorithm to check the Irreducibility of a FiniteMarkov Chain
    - Hitting Probabilities and Hitting Times
    - Transient and Recurrent States
    - Invariant Vectors and Distributions
    - Convergence to the Steady State
    - A Fast Algorithm to determine the Period of a Finite Markov Chain
    - Lemma of Pakes and Kaplan
    - Birth-and-Death Markov chains
    APPLICATIONS
    - Dimensioning Telephone Systems
    - Erlang B formula
    - Engset Formula
    - Erlang C Formula
    - Bianchi’s 802.11 model
    - Blocking probability in an OPS/OBS switching element



    4. Teaching method

    Class contact teaching:
  • Lectures
  • Practice sessions



  • 5. Assessment method and criteria

    Examination:
  • Written without oral presentation
  • Closed book
  • Open book

  • Continuous assessment:
  • Assignments


  • 6. Study material

    Required reading

    Detailed English course notes are available for the students.


    Optional reading

    The following study material can be studied on a voluntary basis:
    Not available.



    7. Contact information
    For questions and remarks, please contact Benny Van Houdt  in room G222 (after making an appointment by email).
    (+)last update: 30/04/2012 11:27 benny.vanhoudt  

    Distributed computing
    Course Code :2001WETDCP
    Study domain:Computer Science
    Semester:Semester: 2nd semester
    Contact hours:45
    Credits:6
    Study load (hours):168
    Contract restrictions: No contract restriction
    Language of instruction :English
    Exam period:exam in the 2nd semester
    Lecturer(s)Kurt Vanmechelen

     


    1. Prerequisites

    At the start of this course the student should have acquired the following competences:
    Specific prerequisites for this course:
    This course requires a thorough knowledge of distributed systems. In addition extensive programming experience in Java and elementary knowledge of software development techniques is important.



    2. Learning outcomes

    The course aims to reach the following objectives
    • you are knowledgeable about the characteristics of distributed computing and middleware and their implications for application development
    • you have an understanding of distributed application architectures in its various paradigms
    • you can apply this knowledge in a project realizing a distributed application



    3. Course contents

    This course provides concepts and theoretical background to the development of distributed applications. It emphasizes the different paradigms that are possible in this respect. Three topics are covered in some detail: Remote Method Invocation (RMI), Jini and Web Services. The first is an example of a distributed object system, the second a service oriented system. Both are bound to the Java programming language. Web Services are investigated as a language agnostic service oriented system.
    In addition the course provides hands-on experience through the realization of a distributed application that utilizes the abpve technologies.



    4. Teaching method

    Class contact teaching:
  • Lectures
  • Tutorials
  • Laboratory sessions

  • Project-based work:
  • In group



  • 5. Assessment method and criteria

    Examination:
  • Oral without written preparation
  • Open book

  • Portfolio:
  • With oral presentation


  • 6. Study material

    Required reading

    Course notes are supplied and after each lesson handouts of the presentations are made available through the Blackboard system. The materials for the practice session are also distributed through Blackboard.


    Optional reading

    The following study material can be studied on a voluntary basis:
    [1] Foundations of Jini 2 Programming, Jan Newmarch
         Apress, 2006, ISBN-13: 13-978-1-59059-716-3



    7. Contact information
    For questions concernin the theory sessions, contact
    • Jan Broeckhove, email: Jan.Broeckhove@ua.ac.be, building G, G205
    For questions concerning the lab sessions, contact
    • Kurt Vanmechelen, email: Kurt.Vanmechelen@ua.ac.be, building G, G214

    (+)last update: 01/02/2013 13:16 kurt.vanmechelen  

    Compilers
    Course Code :2001WETCOP
    Study domain:Computer Science
    Semester:Semester: 1st/2nd semester
    Contact hours:60
    Credits:6
    Study load (hours):168
    Contract restrictions: No contract restriction
    Language of instruction :English
    Exam period:exam in the 1st and/or 2nd semester
    Lecturer(s)Dirk Janssens

     


    1. Prerequisites

    At the start of this course the student should have acquired the following competences:
    Specific prerequisites for this course:
    You need some experience in writing and testing moderately complex programs (say a few hundred lines)  in an imperative or object-oriented language. Basic knowledge about context-free grammars and finite automata is also required.


    2. Learning outcomes

    The aim is to get an insight into the functionality and the design of a compiler, including the role played by the various formal techniques developed this purpose. The students are expected to build a functioning compiler for a given sublanguage of C.


    3. Course contents

    This course discusses the structure of a typical compiler for an imperative language. First we focus on a precise specification of the task to be carried out by a compiler: for the various syntactical constructs of the source language a translation is given in terms of code for a (virtual) target machine, and we specify how these pieces of code are combined into a complete target program. Then the different phases of the translation process are discussed in more detail, including the formal techniques that support them: automata and contextfree grammars, LL and LR parsing, attribute grammars.




    4. Teaching method

    Class contact teaching:
  • Lectures

  • Project-based work:
  • In group



  • 5. Assessment method and criteria

    Examination:
  • Written without oral presentation

  • Continuous assessment:
  • Assignments

  • Presentation

    6. Study material

    Required reading

    (Slides of the lectures)





    Optional reading

    The following study material can be studied on a voluntary basis:

    First part of the course is based on:

    Reinhard Wilhelm, Helmut Seidl, Compiler Design, Springer, ISBN-13: 9873642149092


    Second part is based on:

    Charles N. Fischer, Ron K. Cytron, Richard J. LeBlanc, Crafting a Compiler, Pearson, ISBN-13: 9780138017859



    As the material is quite standard for an introductory course in compilers, background information can be found in a number of handbooks; the presentation may differ somewhat, however. Such handbooks are, e.g.


    Alfred V. Aho, Monica S. Lam, Ravi Sethi, and Jeffrey D. Ullman, Compilers: Principles, Techniques, and Tools,

    Addison-Wesley, ISBN-13: 9780321493453


    Aho, Alfred V.; Sethi, Ravi; Ullman, Jeffrey D; Compilers: principles, techniques and tools

    ISBN 0-201-10194-7 Addison-Wesley, Reading, Mass., 1986 (this is an older version of the previous one)


    Terry, Pat; Compiling with C# and Java, ISBN 0-321-26360-X, Pearson, Harlow, 2005





    7. Contact information
    Lecturer: D. Janssens (Dirk.Janssens@ua.ac.be)
    Assistant: J. Buys (Jonas.Buys@ua.ac.be)

    (+)last update: 22/08/2013 10:37 dirk.janssens  

    Modelling of software-intensive systems
    Course Code :2001WETMSI
    Study domain:Computer Science
    Semester:Semester: 1st semester
    Contact hours:60
    Credits:6
    Study load (hours):168
    Contract restrictions: No contract restriction
    Language of instruction :English
    Exam period:exam in the 1st semester
    Lecturer(s)Hans Vangheluwe

     


    1. Prerequisites

    At the start of this course the student should have acquired the following competences:
    An active knowlegde of :
    • English
    Specific prerequisites for this course:
    • Object-oriented programming. Both theory and assignment parts of the course use the object-oriented scripting language Python. If Python is not yet known, it is advisible to prepare for the course using a Python tutorial.
    • Basics of object-oriented design (notions of design patterns).
    • Basics of the Unified Modelling Language (UML).



    2. Learning outcomes

    Knowledge of different formalisms: various UML diagrams, Causal Block Diagrams, Petri Nets, Statecharts, Event Scheduling, DEVS, System Dynamics.
    Understanding the similarities and differences between different formalisms.
    Be able to choose between (and explain why) and use appropriate formalisms for modelling, analysis, simulation and synthesis of diverse (software-intensive) applications.
    The above forms a starting point for more advanced topics. In particular, the combination of different formalisms.



    3. Course contents

    1. Causes of Complexity
    2. Unified Modelling Language (UML) notations
    3. Requirements vs. Design
    4. Systemspecification
    5. Causal Block Diagrams (CBDs): discrete-time en continuous-time
    6. Petri Nets
    7. Statecharts
    8. Event-Scheduling Discrete-Event
    9. Discrete-EVent System Specification (DEVS)
    10. (Forrester) System Dynamics



    4. Teaching method

    Class contact teaching:
  • Lectures
  • Practice sessions

  • Personal work:
  • Exercises
  • Assignments:Individually
  • Assignments:In group



  • 5. Assessment method and criteria

    Examination:
  • Written without oral presentation
  • Closed book

  • Continuous assessment:
  • Exercises
  • Assignments


  • 6. Study material

    Required reading

    The material (articles and notes) are available at the course website. The ultimate reference are notes on the blackboard during the classes.

    Optional reading

    The following study material can be studied on a voluntary basis:



    7. Contact information

    (+)last update: 26/07/2013 17:15 hans.vangheluwe  

    Scientific English
    Course Code :2003FBDBMW
    Study domain:Linguistics and Proficiency
    Semester:Semester: 2nd semester
    Contact hours:28
    Credits:3
    Study load (hours):84
    Contract restrictions: Exam contract not possible
    Language of instruction :English
    Exam period:exam in the 2nd semester
    Lecturer(s)Tom Van Hout

     


    1. Prerequisites

    At the start of this course the student should have acquired the following competences:
    Specific prerequisites for this course:
    Upper-intermediate level in spoken and written English



    2. Learning outcomes

    On successful completion of the course, students will be able to

    • describe the principles of effective academic and business communication
    • prepare and deliver academic/business presentations
    • reference sources used in their work
    • use peer and instructor feedback to revise their work
    • demonstrate an understanding of standards and ethics for academic success

     




    3. Course contents

    Overall purpose of the course is

    • to enhance students’ academic and information literacy
    • to raise students’ critical awareness of textually mediated information societies

    The course is designed to provide the following knowledge and skills:

    • Students can plan, draft, write and revise an academic paper/business report
    • Students can plan, design and deliver an academic/business presentation 



    4. Teaching method

    Class contact teaching:
  • Practice sessions
  • Tutorials
  • Skills training

  • Personal work:
  • Exercises
  • Assignments:Individually
  • Assignments:In group
  • Casussen: In group

  • Directed self-study


    5. Assessment method and criteria

    Continuous assessment:
  • Assignments
  • Case studies
  • Participation in classroom activities

  • Written assignment:
  • Without oral presentation

  • Presentation

    6. Study material

    Required reading

    Blanpain, Krisitin (2012) Academic Writing. A resource for researchers. Leuven: Acco.

    Barrass, Robert (2002) Scientists must write. A guide to better writing for scientists, engineers and students. London: Routledge.

    Alley, Michael (2003) The craft of scientific presentations. Critical steps to succeed and critical errors to avoid. New York: Springer-Verlag

    Optional reading

    The following study material can be studied on a voluntary basis:
    Jean-luc Doumont (2009) Trees, maps, and theorems. Effective communication for rational minds. Kraainem: Principiae. 

    Rehn, Alf (2006) The scholar’s progress. Essays on academic life and survival. Lincoln: iUniverse. 

    Walters, D. Eric & Walters, Gale Climenson (2002) Scientists must speak. Bringing presentations to life. London: Routledge.




    7. Contact information
    tom.vanhout@ua.ac.be


    (+)last update: 24/08/2013 14:18 tom.vanhout  

    MASTER THESIS (30 ECTS)

     

     

    Master thesis Computer Science
    Course Code :2009WETMAP
    Study domain:Computer Science
    Semester:Semester: 2nd semester
    Contact hours:200
    Credits:30
    Study load (hours):840
    Contract restrictions: No contract restriction
    Language of instruction :Dutch
    Exam period:exam in the 2nd semester
    Lecturer(s)- NNB

     


    1. Prerequisites

    At the start of this course the student should have acquired the following competences:
    An active knowlegde of :
    • Dutch
    • English
    A passive knowledge of :
    • English
    Specific prerequisites for this course:
    There are no general prerequisites required. Specific requirements can be demanded by the research group where the master project will be executed.


    2. Learning outcomes

    The aim of the master project is for the student to show that he/she is able to autonomously (however with guidance of a supervisor ) explore a subject in a scientific manner and to write down the acquired insight in a consistent text.


    3. Course contents

    The contents of the master project will depend on the research activities of the research group where the master project will be executed.


    4. Teaching method

    Personal work:
  • Paper: Individually



  • 5. Assessment method and criteria

    Written assignment:
  • With oral presentation

  • Presentation

    6. Study material

    Required reading

    The research group informs the student about compulsory reading and study material for the master project.

    Optional reading

    The following study material can be studied on a voluntary basis:
    The research group informs the student about recommended reading and study material for the master project.


    7. Contact information

    (+)last update: 03/08/2012 11:19 jan.vos  

    ELECTIVE COURSES - MAJOR (12 ECTS)

     

    Universiteit Antwerpen

     

    Advanced Performance Modelling
    Course Code :2001WETAPM
    Study domain:Computer Science
    Semester:Semester: 1st semester
    Contact hours:45
    Credits:6
    Study load (hours):168
    Contract restrictions: No contract restriction
    Language of instruction :English
    Exam period:exam in the 1st semester
    Lecturer(s)Benny Van Houdt

     


    1. Prerequisites

    At the start of this course the student should have acquired the following competences:
    An active knowlegde of :
    • English
    A passive knowledge of :
    • English
    Specific prerequisites for this course:
    Some basic knowledge about Markov chains, provided by the course Introduction to Performance Modelling is required.


    2. Learning outcomes

    The students become acquainted with some more advanced stochastic modeling techniques and learn how to apply these techniques using various examples. The following subjects are discussed in this course: phase-type distributions, Markov arrival processes, Quasi-Birth-Death, M/G/1-type and GI/M/1-type Markov chains. Advanced algorithms used to solve non-linear matrix equations are also discussed as a means to determine the steady state performance measures of these Markov chains. Students should also be able to develop stochastic models for problem situations that resemble those discussed during the course. Finally, students also gather experience in the use of the associated software tools. 


    3. Course contents

    The following subjects form a central part of this course: phase-type and matrix exponential distributions, Markov arrival processes, Quasi-Birth-Death, M/G/1-type and GI/M/1-type Markov chains (with finite and infinite state spaces), iterative algorithms to solve non-linear matrix equations (e.g., functional iterations, cyclic reduction, logarithmic reduction, Newton iteration, etc.). Software tools are also discussed.


    4. Teaching method

    Class contact teaching:
  • Lectures

  • Personal work:
  • Assignments:Individually

  • Project-based work:
  • Individually



  • 5. Assessment method and criteria

    Continuous assessment:
  • Assignments

  • Written assignment:
  • Without oral presentation


  • 6. Study material

    Required reading

    All the slides (about 200) will be made available via Blackboard.


    Optional reading

    The following study material can be studied on a voluntary basis:
    Introduction to Matrix Analytic Methods in Stochastic Modeling,
    G. Latouche and V. Ramaswami
    ISBN-10: 0898714257


    7. Contact information
    For questions and remarks, please contact Benny Van Houdt  in room G222 (after making an appointment by email).
    (+)last update: 30/04/2012 12:02 benny.vanhoudt  

    Mobile and wireless networks lab
    Course Code :2001WETLMW
    Study domain:Computer Science
    Semester:Semester: 1st semester
    Contact hours:25
    Credits:3
    Study load (hours):84
    Contract restrictions: No contract restriction
    Language of instruction :English
    Exam period:exam in the 1st semester
    Lecturer(s)Chris Blondia

     


    1. Prerequisites

    At the start of this course the student should have acquired the following competences:
    Specific prerequisites for this course:
    The student has a good insight in computernetworks in general and IP networks in particular. Moreover a basic knowledge of IEEE 802.11 networks is necessary


    2. Learning outcomes

    After following this course, the student has made broader his insight in wireless and mobile networks based on practical applications. Different alternatives that are available when setting up a wireless network, their performance aspects, the security methods that can be applied and the use of different mobility protocols can be understood and explained using the expertise build up during this course.

    These learning outcomes correspond with the following general learning outcomes for Master in the computer science:
    - Analysis and design of large computer science projects: the student has the ability to divide a large problem into smaller problems and to devise a solution for each of these sub-problems
    - The student is able to select techniques, methods and architectures for the problem at hand, taking into account
    the specific characteristics of the system under study.
    - The student is able to report, both oral and written, on the proposed solutions



    3. Course contents

    4 lab sessions related to mobile and wireless networks are organized. In addition there is a session that elaborates on a specific aspect of mobile and wireless networks.
    Lab1: basic configuration
    Lab2: sniffing and channels
    Lab3: Performance evaluation
    Lab4: Security




    4. Teaching method

    Class contact teaching:
  • Laboratory sessions

  • Personal work:
  • Assignments:In group



  • 5. Assessment method and criteria

    Examination:
  • Oral without written preparation
  • Practical examination

  • Continuous assessment:
  • (interim) tests


  • 6. Study material

    Required reading

    The required hardware (PCs and wireless nodes) are provided. In addition, a syllabus is available; see http://www.pats.ua.ac.be/courses

    Optional reading

    The following study material can be studied on a voluntary basis:
    W. Stallings, Wireless Communications and Networks, Prentice Hall


    7. Contact information
    Lecturer: Prof. C. Blondia, Assistants: Nicolas Letor, Erwin Van de Velde and Johan Bergs.
    (+)last update: 12/10/2011 12:31 chris.blondia  

    Topics in Distributed Computing
    Course Code :2001WETTDC
    Study domain:Computer Science
    Bi-anuall course:Taught in academic years starting in an even year
    Semester:Semester: 1st semester
    Contact hours:45
    Credits:6
    Study load (hours):168
    Contract restrictions: No contract restriction
    Language of instruction :English
    Exam period:exam in the 1st semester
    Lecturer(s)Jan Broeckhove

     


    1. Prerequisites

    At the start of this course the student should have acquired the following competences:
    Specific prerequisites for this course:
    This course requires knowledge of distributed systems and in particular of middleware concepts. For full-time Computer Sciences master students at the University of Antwerp this means they must have obtained a credit for the ''Distributed Systems'' course.



    2. Learning outcomes

    The course objectives are the following
    • You have gained insight in virtualization technology (what,how, why) and are able to identify different types of virtualization solutions. 
    • You understand the internal workings of different types of virtualization software and are knowledgeable with respect to the challenges of virtualizing an x86 architecture.
    • You understand the driving forces behind and key characteristics of cloud computing. You are able to frame this technology inside the spectrum of distributed systems.
    • You have gained product knowledge of different cloud offerings and now how to make use of a IaaS (Infrastructure as a Service) solution at the API level.
    • You understand the architecture of grid systems and can identify the key middleware components of grids and how they interact.
    • You are able to run parallel codes on a grid system.
    This course combines knowledge and insight in cloud, grid and virtualization technology with experience in working with this technology.



    3. Course contents

    The first part of the course focuses on virtualization. Different types of virtualization are discussed and a taxonomy of virtualization solutions is presented. The internal workings of a number of virtualization solutions are addressed and the key challenges related to the virtualization of the x86 architecture are discussed.

    The second part addresses the field of cloud computing and shows how virtualization at the level of a data center can be combined with on-demand provisioning of resources and applications to create a new paradigm for outsourcing of IT functions. The important driving factors and business cases behind cloud computing are discussed, as well as a number of current cloud offerings (with a particular focus on Amazon EC2 and S3).

    In a third part of the course, we move beyond the scale of a single data center or cloud provider and look at the field of grid computing. We show how grids can integrate compute and storage resources on a European and global scale in order to support scientific discovery and create large-scale shared infrastructure over wide-area networks.

    The practical side of the course involves hands-on work with the technologies discussed above. An integrated programming project that runs throughout the duration of the course will combine practical knowledge of virtualization, cloud computing (with Hadoop), and grid computing (with EGEE gLite middleware and the Belgian BEgrid).




    4. Teaching method

    Class contact teaching:
  • Lectures
  • Tutorials
  • Laboratory sessions

  • Directed self-study
    Project-based work:
  • In group



  • 5. Assessment method and criteria

    Examination:
  • Oral without written preparation

  • Portfolio:
  • With oral presentation


  • 6. Study material

    Required reading

    Course notes will be made available, including appendices with papers and documents that are required reading. After each theory session handouts will be made available through the Blackboard system. This also goes for the materials that are needed for the practice sessions.


    Optional reading

    The following study material can be studied on a voluntary basis:
    [1]  Grid Computing: Making the Global Infrastructure a Reality
           F. Berman, G. C. Fox and A. J. G. Hey, 2003, J. Wiley & Sons, Chichester, England
    [2]  The Grid: Core Technologies
           M. Li and M. Baker, 2005, J. Wiley & Sons, Chichester, England



    7. Contact information
    For questions concerning the theory sessions, contact
    • Kurt Vanmechelen, email: kurt.vanmechelen@ua.ac.be, lokaal: Gebouw G, G214
    For questions concerning the theory sessions, contact
    • Wim Depoorter, email: Wim.Depoorter@ua.ac.be, lokaal: Gebouw G, G207

    (+)last update: 02/09/2011 15:24 jan.broeckhove  

    Parallel Computing
    Course Code :2001WETCLC
    Study domain:Computer Science
    Semester:Semester: 2nd semester
    Contact hours:45
    Credits:6
    Study load (hours):168
    Contract restrictions: No contract restriction
    Language of instruction :English
    Exam period:exam in the 2nd semester
    Lecturer(s)Jan Broeckhove

     


    1. Prerequisites

    At the start of this course the student should have acquired the following competences:
    Specific prerequisites for this course:
    This course requires a relatively broad background. It contains a systems-oriented part that requires knowledge of operating systems, networks and to some extent, distributed systems. It also contains a part on developing cluster programs based on MPI and this requires a thorough knowledge of C++ programming.



    2. Learning outcomes

    The ''cluster systems'' part of the course aims to reach following objectives
    • you are knowledgeable about cluster architecture and middleware
    • you are experienced in installing middleware on a beowulf cluster
    • you are capable of using cluster benchmarking tools
    The ''MPI based parallel programming'' part of the course aims to reach the following objectives
    • you are knowledgeable about the basic concepts of MPI message passing
    • you are capable of programming and running parallel MPI programs
    • you can analyze the efficiency of MPI programs
    This course combines knowledge and insight in grids with experience in working with operational grid systems.


    3. Course contents

    The course consists of two parts. The first part, ''cluster systems'', is oriented towards cluster middleware with attention focused on beowulf clusters. The second part ''MPI based parallel programming'' deals with  traditional, message based, parallel programming. It covers algorithms and their implementation in MPI programs.

    The ''cluster systems'' part contains following topics:
    • Cluster concepts
    • Middleware components
    • Cluster monitoring
    • Job management
    • Benchmarking
    It is geared towards providing experience in managing and working with cluster systems . The second part is geared towards program development and contains following topics:
    • Background on parallel computing
    • A firsdt look at MPI
    • MPI: Basics
    • MPI: Advanced Features
    • Timing and Profiling
    It provides insight into the possibilities and limitations of the message-passing paradigm and its use through MPI.



    4. Teaching method

    Class contact teaching:
  • Lectures
  • Practice sessions
  • Tutorials
  • Laboratory sessions

  • Personal work:
  • Assignments:In group



  • 5. Assessment method and criteria

    Examination:
  • Oral without written preparation

  • Portfolio:
  • With oral presentation


  • 6. Study material

    Required reading

    Course notes are provided and after each theory session handouts are made available through the Blackboard system.


    Optional reading

    The following study material can be studied on a voluntary basis:
    [1]  Beowulf Cluster Computing with Linux, Second Edition
           W. Gropp, E. Lusk and T. Sterling, 2002, The MIT Press, Cambridge, Massachusetts
    [2]  Using MPI: Portable Parallel Programming with the Message Passing Interface
           W. Gropp, E. Lusk and A. Skjellum, 1999, The MIT Press, Cambridge, Massachusetts



    7. Contact information
    For questions concerning the theory sessions, contact
    • Jan Broeckhove, email: Jan.Broeckhove@ua.ac.be, building G, G205
    • Frans Arickx, email: Frans.Arickx@ua.ac.be, building G, G206
    For questions concernin the lab sessions, contact
    • Sam Verboven, email: Sam.Verboven@ua.ac.be, building G, G212

    (+)last update: 02/09/2011 15:16 jan.broeckhove  

    Seminar computer networks
    Course Code :2001WETSCN
    Study domain:Computer Science
    Bi-anuall course:Taught in academic years starting in an even year
    Semester:Semester: 2nd semester
    Contact hours:25
    Credits:3
    Study load (hours):84
    Contract restrictions: No contract restriction
    Language of instruction :English
    Exam period:exam in the 2nd semester
    Lecturer(s)Chris Blondia
    Vincenzo De Florio

     


    1. Prerequisites

    At the start of this course the student should have acquired the following competences:
    Specific prerequisites for this course:
    The student has a good overview of telecommunication systems in general


    2. Learning outcomes

    The student is able to understand and to summarize a scientific presentation on certain aspects of communication systems. The student is also able to further elaborate the subject that is treated during the presentation by gathering more information and writing a paper.

    These learning outcomes correspond with the following general learning outcomes of a master in computer science:
    - The student must be able to assess the results of recent progress in research on computer science in general and communication networks in particular.
    - The student should be able to report on information he/she has collected related to a well-dfined subject or problem.



    3. Course contents

    The different subjects that are treated during the presentations are determined each year according to the availability of speakers.


    4. Teaching method

    Class contact teaching:
  • Seminars

  • Personal work:
  • Assignments:Individually



  • 5. Assessment method and criteria

    Examination:
  • Oral with written preparation

  • Written assignment:
  • With oral presentation


  • 6. Study material

    Required reading

    Study material that is distributed by the invited speakers.

    Optional reading

    The following study material can be studied on a voluntary basis:
    The student may consult the library or the Internet to obtain more information on the subjects presented by the speakers.


    7. Contact information
    Dr. Vincenzo De Florio vincenzo.deflorio@ua.ac.be
    (+)last update: 03/02/2012 13:32 chris.blondia  

    Sensor networks lab
    Course Code :2001WETLSN
    Study domain:Computer Science
    Semester:Semester: 2nd semester
    Contact hours:30
    Credits:3
    Study load (hours):84
    Contract restrictions: No contract restriction
    Language of instruction :English
    Exam period:exam in the 2nd semester
    Lecturer(s)Chris Blondia

     


    1. Prerequisites

    At the start of this course the student should have acquired the following competences:
    Specific prerequisites for this course:
    The student has knowledge about the layered architecture of a network. The student knows the most important functions of each layer, in addition to the most important protocols such as Ethernet, IP, UDP and TCP. Moreover the student has a broad overview of nowadays communication networks, in particular related to routing in ad-hoc networks. . The student is assumed to have the necessary programming experience with JAVA.


    2. Learning outcomes

    The aim is to let the student have insight in both the theoretical and practical aspects of sensor networks, by building up a hands-on experience related to different aspects of 
    sensor networks, such as energy efficiency, performance, complexity, etc...

    These learning outcomes correspond with the following general learning outcomes for Master in the computer science:
    - Analysis and design of large computer science projects: the student has the ability to divide a large problem into smaller problems and to devise a solution for each of these sub-problems
    - The student is able to select techniques, methods and architectures for the problem at hand, taking into account
    the specific characteristics of the system under study.
    - The student is able to report, both oral and written, on the proposed solutions



    3. Course contents

    The course consists of 3 parts. In a first part an overview of the state-of-the art of sensornetworks and the SunSPOT technology is considered. In a second part, the student learn how to work with SunSPOTS and the related programming and networking aspects. In a third and last part, the students are involved in a project. Different applications on the SumSPOT are developped.


    4. Teaching method

    Class contact teaching:
  • Laboratory sessions

  • Personal work:
  • Assignments:In group

  • Directed self-study
    Project-based work:
  • In group



  • 5. Assessment method and criteria

    Portfolio:
  • With oral presentation

  • Presentation

    6. Study material

    Required reading

    All required material (SunSPOTs, PCs, Lab space, ...) is made available.

    Optional reading

    The following study material can be studied on a voluntary basis:
    More information on sensor networks can be found in:
    Anna Hac, Wireless Sensor Network Design, John Wiley & Sons, December 2003;
    Edgar H. Callaway, Jr. and Edgar H. Callaway, Wireless Sensor Networks: Architectures and Protocols,  CRC Press, August 2003.



    7. Contact information
    Responsible: Prof. C. blondia; For questions related to hardware or the content of projects, please contact Bart Braem (bart.braem@ua.ac.be), Bart Sas (bart.sas@ua.ac.be) or Daniel  Van den Akker (daniel.vandenakker@ua.ac.be)
    (+)last update: 02/08/2011 14:24 chris.blondia  

    KU Leuven

     

    Software for Real-time and Embedded Systems
    Course Code :9001KULSRE
    Study domain:Computer Science
    Location:Not at UA, but at KUL
    Semester:Semester: 1st semester
    Contact hours:37
    Credits:4
    Study load (hours):112
    Contract restrictions: No contract restriction
    Language of instruction :Dutch
    Exam period:exam in the 1st semester
    Lecturer(s)Yolande Berbers

     


    1. Prerequisites

    At the start of this course the student should have acquired the following competences:

    2. Learning outcomes




    3. Course contents

    dit opleidingsonderdeel wordt aangeboden door KULeuven




    4. Teaching method



    5. Assessment method and criteria


    6. Study material

    Required reading



    Optional reading

    The following study material can be studied on a voluntary basis:



    7. Contact information

    (+)last update: 16/12/2009 15:08 jan.vos  

    Capita Selecta of Distributed Systems
    Course Code :9001KULCGS
    Study domain:Computer Science
    Location:Not at UA, but at KUL
    Semester:Semester: 1st semester
    Contact hours:26
    Credits:4
    Study load (hours):112
    Contract restrictions: No contract restriction
    Language of instruction :Dutch
    Exam period:exam in the 1st semester
    Lecturer(s)Wouter Joosen

     


    1. Prerequisites

    At the start of this course the student should have acquired the following competences:

    2. Learning outcomes




    3. Course contents

    Dit opleidingsonderdeel wordt aangeboden door KULeuven


    4. Teaching method



    5. Assessment method and criteria


    6. Study material

    Required reading



    Optional reading

    The following study material can be studied on a voluntary basis:



    7. Contact information

    (+)last update: 06/01/2010 17:49 jan.vos  

    Internet infrastructure
    Course Code :9001KULIIS
    Study domain:Computer Science
    Location:Not at UA, but at KUL
    Semester:Semester: 2nd semester
    Contact hours:41
    Credits:5
    Study load (hours):140
    Contract restrictions: No contract restriction
    Language of instruction :Dutch
    Exam period:exam in the 2nd semester
    Lecturer(s)André Mariën

     


    1. Prerequisites

    At the start of this course the student should have acquired the following competences:

    2. Learning outcomes




    3. Course contents

    Dit opleidingsonderdeel wordt aangeboden door KULeuven


    4. Teaching method



    5. Assessment method and criteria


    6. Study material

    Required reading



    Optional reading

    The following study material can be studied on a voluntary basis:



    7. Contact information

    (+)last update: 16/12/2009 15:09 jan.vos  

    Multi-Agent Systems
    Course Code :9001KULMAS
    Study domain:Computer Science
    Location:Not at UA, but at KUL
    Semester:Semester: 2nd semester
    Contact hours:30
    Credits:4
    Study load (hours):112
    Contract restrictions: No contract restriction
    Language of instruction :Dutch
    Exam period:exam in the 2nd semester
    Lecturer(s)Tom Holvoet

     


    1. Prerequisites

    At the start of this course the student should have acquired the following competences:

    2. Learning outcomes




    3. Course contents

    Dit opleidingsonderdeel wordt aangeboden door KULeuven


    4. Teaching method



    5. Assessment method and criteria


    6. Study material

    Required reading



    Optional reading

    The following study material can be studied on a voluntary basis:



    7. Contact information

    (+)last update: 13/01/2010 14:27 jan.vos  

    Protection of networks and computerinfrastructure
    Course Code :9001KULBNC
    Study domain:Computer Science
    Location:Not at UA, but at KUL
    Semester:Semester: 2nd semester
    Contact hours:43
    Credits:4
    Study load (hours):112
    Contract restrictions: No contract restriction
    Language of instruction :Dutch
    Exam period:exam in the 2nd semester
    Lecturer(s)Christophe Huygens

     


    1. Prerequisites

    At the start of this course the student should have acquired the following competences:

    2. Learning outcomes




    3. Course contents

    Dit opleidingsonderdeel wordt aangeboden door KULeuven


    4. Teaching method



    5. Assessment method and criteria


    6. Study material

    Required reading



    Optional reading

    The following study material can be studied on a voluntary basis:



    7. Contact information

    (+)last update: 16/12/2009 15:11 jan.vos  

    ELECTIVE COURSES - MINOR (15 ECTS)

     

    Scientific Background

    Students who have chosen the option Entrepreneurship may not choose the course 'Strategic Business Communication' as an elective course because this is already a compulsory course in Entrepreneurship.

    Strategic Business Communication
    Course Code :2001FBDOOD
    Study domain:Business sciences
    Semester:Semester: 1st semester
    Contact hours:45
    Credits:6
    Study load (hours):168
    Contract restrictions: No contract restriction
    Language of instruction :Dutch
    Exam period:exam in the 1st semester
    Lecturer(s)Mariëlle Leijten
    Marius Opsomer

     


    1. Prerequisites

    At the start of this course the student should have acquired the following competences:
    An active knowlegde of :
    • Dutch
    Dutch at mother tongue level
    Specific prerequisites for this course:
    - General interest in management processes

    This course cannot be taken with an exam contract.


    2. Learning outcomes

    A scientist that functions in an organization needs to be capable of strategic communication with colleagues (both superiors and subordinates), concerning topics that are field-related and non-field-related.  Therefore, he or she should master a number of oral and written communication skills at a professional level, together with having a firm grasp of management aspects of communication.
    Upon completion of this course, students should be able to prepare and deliver effective oral and written communication for business situations and be able to apply business communication strategies and principles:
    - To plan the message by defining purpose, analyzing audience, selecting channel and medium;
    - To organize and compose the message by selecting appropriate organizational formats;
    - To revise the message by editing, rewriting, producing and proofreading (together with peers).


    3. Course contents

    This course consists of three components: management communication, technical communication, and business communication.  Together, the components form an introduction to management and strategic business communication in Dutch. Different topics of professional communication (oral and written; internal and external communication) are dealt with.  The approach is modular and non-comprehensive: a few representative communication themes are treated in depth, so that the student can get acquainted with subjects that are relevant to middle management employees in a medium to large-sized organization.


    4. Teaching method

    Class contact teaching:
  • Lectures
  • Practice sessions
  • Tutorials
  • Skills training

  • Personal work:
  • Exercises
  • Assignments:Individually
  • Assignments:In group
  • Paper: Individually

  • Directed self-study
    Portfolio


    5. Assessment method and criteria

    Continuous assessment:
  • Exercises
  • Assignments
  • Participation in classroom activities

  • Portfolio:
  • Without oral presentation


  • 6. Study material

    Required reading

    -   Reader (available at campus Drie Eiken)
    -   Calliope (www.calliope.be)
    -   Handouts
     
     

    Optional reading

    The following study material can be studied on a voluntary basis:

    none




    7. Contact information

    Mariëlle Leijten
    Universiteit Antwerpen, Faculteit Toegepaste Economische Wetenschappen
    Departement Management
    Kipdorp 61, SZ. 506
    2000 Antwerpen
    t. 03 265 50 72
    mariëlle.leijten@ua.ac.be
    www.ua.ac.be/marielle.leijten

    Marius Opsomer
    Universiteit Antwerpen, Faculteit Toegepaste Economische Wetenschappen
    Departement Management
    Kipdorp 61, SZ. 504
    2000 Antwerpen
    t. 03 265 50 23
    marius.opsomer@ua.ac.be 
     
    Véronique Vanderhoudelingen
    Universiteit Antwerpen, Faculteit Toegepaste Economische Wetenschappen
    Departement Management
    Kipdorp 61, SZ. 504
    2000 Antwerpen
    t. 03 265 50 23
    veronique.vanderhoudelingen@ua.ac.be


    (+)last update: 25/09/2012 10:22 marielle.leijten  

    Philosophy of science
    Course Code :2001WETWEF
    Study domain:Philosophy and Ethics
    Bi-anuall course:Taught in academic years starting in an even year
    Semester:Semester: 2nd semester
    Contact hours:30
    Credits:3
    Study load (hours):84
    Contract restrictions: No contract restriction
    Language of instruction :English
    Exam period:exam in the 2nd semester
    Lecturer(s)Erik Myin

     


    1. Prerequisites

    At the start of this course the student should have acquired the following competences:

    • Competences corresponding the final attainment level of secondary school

    An active knowlegde of :
    • Dutch
    A passive knowledge of :
    • English
    Specific prerequisites for this course:
    none in particular


    2. Learning outcomes

    Knowledge of and insight in themes and tendencies of contemporary philosophy of science. Being able to distinguish, compare and contrast different points of view on science taken by philosophers. Being able to frame a problem or an issue in these different perspectives. 


    3. Course contents

    The course is concerned with contemporary philosophical reflection on science. Outstanding issues in contemporary philosophy of science, such as explanation, causality, prediction, truth and realism are covered and looked at from a variety of angles. 


    4. Teaching method

    Class contact teaching:
  • Lectures



  • 5. Assessment method and criteria

    Examination:
  • Oral with written preparation


  • 6. Study material

    Required reading

    A syllabus "Wetenschapsfilosofie" written by the instructor, will be available on Blackboard.

    Optional reading

    The following study material can be studied on a voluntary basis:
    - Godfrey-Smith, Peter (2003), Theory and reality. An introduction to the philosophy of science. Chicago, ILL.: University of Chicago Press.

    - Clark, Andy (2000), Mindware. An Introduction to the Philosophy of Cognitive Science, New York: Oxford University Press.  

    - Clark, Andy (2003), Natural Born Cyborgs. Minds, Technologies and the Future of Human Inteligence, New York: Oxford University Press.  



    7. Contact information

    Erik Myin

    Stadscampus, lokaal D416

    Erik.Myin@ua.ac.be


    (+)last update: 26/06/2011 19:51 erik.myin  

    Selected topics of computational science
    Course Code :2001WETCCW
    Study domain:Computer Science
    Semester:Semester: 1st semester
    Contact hours:25
    Credits:3
    Study load (hours):84
    Contract restrictions: No contract restriction
    Language of instruction :English
    Exam period:exam in the 1st semester
    Lecturer(s)Annie Cuyt
    Karel In't Hout
    Wim Vanroose

     


    1. Prerequisites

    At the start of this course the student should have acquired the following competences:
    Specific prerequisites for this course:
    Some experience with courses from the fields of numerical techniques and computer arithmetics is recommended.


    2. Learning outcomes

    The student learns to find, process and present results from the recent literature on numerical analysis and computer arithmetics.


    3. Course contents

    Gaps in the last years of the undergraduate program in numerically oriented research topics in the widest sense are being dealt with in this seminar, as well as topics relating to the theses of the participating students. The seminar format aims at a balance between presentations by the participating students and the responsible research groups. The first session will be given by an expert in scientific communication. Several guest speakers will also be invited.


    4. Teaching method

    Class contact teaching:
  • Seminars

  • Personal work:
  • Assignments:Individually



  • 5. Assessment method and criteria

    Presentation

    6. Study material

    Required reading

    Recent scientific articles or books, which will be announced during the seminar.

    Optional reading

    The following study material can be studied on a voluntary basis:



    7. Contact information
    Karel in 't Hout (karel.inthout@ua.ac.be).
    Wim Vanroose (wim.vanroose@ua.ac.be).
    Annie Cuyt (annie.cuyt@ua.ac.be).

    (+)last update: 03/08/2012 10:23 jan.vos  

    Bioinformatics
    Course Code :2001WETBIN
    Study domain:Biology
    Semester:Semester: 2nd semester
    Contact hours:30
    Credits:3
    Study load (hours):84
    Contract restrictions: Exam contract not possible
    Language of instruction :Dutch
    Exam period:exam in the 2nd semester
    Lecturer(s)Kris Laukens

     


    1. Prerequisites

    At the start of this course the student should have acquired the following competences:
    An active knowlegde of :
    • Dutch
    A passive knowledge of :
    • English
    English handouts and extra material will be provided. A number of lessons may be given in English, due to the involvement of foreign researchers.
    • General knowledge of the use of a PC and the Internet

    General notion of the basic concepts of:
    molecular biology
    Specific prerequisites for this course:
    Students without basic background in (molecular) biology will be invited to follow (about 3) introductory lessons. 



    2. Learning outcomes

    - Acquiring insight in handling and analysis of molecular biologica data using computational techniques.

    - Understanding the background principles of a selection of computational techniques and models that are frequently used in bioinformatics.

    - Being able to select the appropriate technique for a given problem, and being able to apply it.

    - Knowing how to use, access, search the most important public molecular biological databases.




    3. Course contents

    The bioinformatics course aims to give students essential insights in the most important computational techniques used for the analysis of molecular (system) biological data. The student will also learn how to select the right strategy for a given task.

    1. Structure:
    - DNA & protein sequence databases and formats
    - sequence search algorithms
    - pairwise an multiple sequence alignment
    - motifs & profiles
    - introduction to phylogenetics and genome analysis
    - secundary and tertiary structure prediction of proteins

    2. Function:
    - gen-prediction,
    - protein & gene classification
    - gene ontologies

    3. Systems:
    - handling transcriptome & proteome data
    - data integration
    - networks: pathways, interaction-networks,
    - introduction to systems modeling

    The practical sessions give students a chance to apply some of the discussed algorithms to solve a concrete problem.




    4. Teaching method

    Class contact teaching:
  • Lectures
  • Practice sessions

  • Personal work:
  • Exercises
  • Assignments:In group



  • 5. Assessment method and criteria

    Examination:
  • Oral without written preparation
  • Open book


  • 6. Study material

    Required reading

    Course material and handouts will be provided.


    Optional reading

    The following study material can be studied on a voluntary basis:
    Interesting books and websites will be mentioned during the lessons and in the handouts.



    7. Contact information

    The teacher is available under following coordinates, preferentially after appointment by email. 

    Intelligent Systems Laboratory (ISLab)
    University of Antwerp
    Middelheimlaan 1, G.219, B-2020 
    Antwerpen, Belgium 

    T   +32 (0)3 265 33 10
    E   kris.laukens@ua.ac.be

    Biomedical Informatics research center Antwerpen (biomina)
    Wilrijkstraat 10, 
    B-2650 Edegem

    T   +32 (0)3 821 59 47


    (+)last update: 30/07/2012 10:52 jan.vos  

    Databases

     

    Advanced database systems
    Course Code :2002WETGDS
    Study domain:Computer Science
    Semester:Semester: 1st semester
    Contact hours:45
    Credits:6
    Study load (hours):168
    Contract restrictions: No contract restriction
    Language of instruction :English
    Exam period:exam in the 1st semester
    Lecturer(s)Floris F J Geerts

     


    1. Prerequisites

    At the start of this course the student should have acquired the following competences:
    An active knowlegde of :
    • English
    Specific prerequisites for this course:
    Knowledge of Databases, SQL, Datastructures, and Logic.


    2. Learning outcomes

    A wide variety of concepts and techniques that are essential in implementations of relational database systems will be considered. The aim of this course is to provide insight to the student in the design choices that underly such systems, and to let the student understand why certain techniques have been selected and what effect these choices have on the performance of database systems.

    This course contributes to the following core competence of the master in databases: Analysis and Design of large scale software projects, Selection of techniques, methods, ... and Quality control.




    3. Course contents

    The following topics will be considered:

    • The relationalmodel and SQL
    • Storage en Indexing
      • Hash-based indexing (Linear, Extendible)
      • Tree-based indexing (B+tree, ISAM)
    • External Sorting
      • External merge sort
      • B+ tree sorting
    • Buffer management
      • Buffer replacement policies
      • I/O
    • Query evaluation
      • Query optimization
      • Join algorithms
      • Cardinality estimation
      • Query plans
    • Transaction Management
      • ACID
      • Serializability
      • Two phase locking
      • Concurrency control
    • Crash Recovery
      • Checkpoints
      • ARIES



    4. Teaching method

    Class contact teaching:
  • Lectures

  • Personal work:
  • Exercises
  • Assignments:Individually



  • 5. Assessment method and criteria

    Examination:
  • Written without oral presentation


  • 6. Study material

    Required reading

    Database Management Systems, Raghu Ramakrishnan, Johannes Gehrke.   Graw-Hill Education; third edition.  

    Slides will be made available through the "Cursusdienst".


    Optional reading

    The following study material can be studied on a voluntary basis:



    7. Contact information
    Floris Geerts is available for questions and comment in G103A (only after appointment by email)
    (+)last update: 03/08/2012 09:50 jan.vos  

    Current trends in databases
    Course Code :2001WETATD
    Study domain:Computer Science
    Semester:Semester: 2nd semester
    Contact hours:45
    Credits:6
    Study load (hours):168
    Contract restrictions: No contract restriction
    Language of instruction :English
    Exam period:exam in the 2nd semester
    Lecturer(s)Floris F J Geerts

     


    1. Prerequisites

    At the start of this course the student should have acquired the following competences:
    An active knowlegde of :
    • English
    Specific prerequisites for this course:
    Bachelor in computer science.


    2. Learning outcomes

    Main Objectives : Research and development, fundamental research.

    To be aware of recent trends in the research of computer science.




    3. Course contents

    Several recent trends in database research are studied and discussed.


    4. Teaching method

    Class contact teaching:
  • Lectures
  • Seminars

  • Personal work:
  • Assignments:Individually



  • 5. Assessment method and criteria

    Continuous assessment:
  • Assignments
  • Participation in classroom activities


  • 6. Study material

    Required reading

    Depending on the subjects.

    Optional reading

    The following study material can be studied on a voluntary basis:
    Depending on the subjects.


    7. Contact information

    (+)last update: 03/08/2012 09:55 jan.vos  

    Advanced datamining techniques
    Course Code :2001WETGDT
    Study domain:Computer Science
    Semester:Semester: 2nd semester
    Contact hours:45
    Credits:6
    Study load (hours):168
    Contract restrictions: No contract restriction
    Language of instruction :English
    Exam period:exam in the 2nd semester
    Lecturer(s)Bart Goethals

     


    1. Prerequisites

    At the start of this course the student should have acquired the following competences:
    Specific prerequisites for this course:
    * Programming experience * Data structures * Introduction to logic


    2. Learning outcomes

    * Being aware of several recent developments in Data Mining
    * Being able to follow-up and understand recent developments in DM literature


    3. Course contents

    After a short introduction to data mining, we study and discuss several advanced data mining techniques.


    4. Teaching method

    Class contact teaching:
  • Lectures
  • Seminars

  • Personal work:
  • Assignments:Individually



  • 5. Assessment method and criteria

    Examination:
  • Written without oral presentation

  • Continuous assessment:
  • Assignments
  • Participation in classroom activities


  • 6. Study material

    Required reading

    Course notes

    Optional reading

    The following study material can be studied on a voluntary basis:
    "Introduction to Data Mining" by Pang-Ning Tan, Michael Steinbach, Vipin Kumar (Addison-Wesley)


    7. Contact information

    (+)last update: 03/08/2012 09:57 jan.vos  

    Database security
    Course Code :2001WETDBS
    Study domain:Computer Science
    Bi-anuall course:Taught in academic years starting in an odd year
    Semester:Semester: 1st semester
    Contact hours:25
    Credits:3
    Study load (hours):84
    Contract restrictions: No contract restriction
    Language of instruction :English
    Exam period:exam in the 1st semester
    Lecturer(s)Floris F J Geerts

     


    1. Prerequisites

    At the start of this course the student should have acquired the following competences:
    Specific prerequisites for this course:
    Good knowledge of operating systems, programming languages and relational database systems.


    2. Learning outcomes

    Obtain a broad introduction to security of data and being able to develop secure systems and software w.r.t. data.


    3. Course contents

    We study the practical aspects of modern database security, several attack techniques and how to defend against them.

    This course will NOT be thought in 2010-2011.



    4. Teaching method

    Class contact teaching:
  • Lectures
  • Seminars

  • Personal work:
  • Assignments:Individually



  • 5. Assessment method and criteria

    Examination:
  • Written without oral presentation

  • Continuous assessment:
  • Assignments


  • 6. Study material

    Required reading

    Course notes

    Optional reading

    The following study material can be studied on a voluntary basis:
    Security in computing, by Pfleeger and Pfleeger


    7. Contact information

    (+)last update: 03/08/2012 10:06 jan.vos  

    Project Databases
    Course Code :2001WETPDB
    Study domain:Computer Science
    Semester:Semester: 2nd semester
    Contact hours:45
    Credits:6
    Study load (hours):168
    Contract restrictions: No contract restriction
    Language of instruction :English
    Exam period:exam in the 2nd semester
    Lecturer(s)Theobald Martin
    Bart Goethals

     


    1. Prerequisites

    At the start of this course the student should have acquired the following competences:
    An active knowlegde of :
    • English
    • General knowledge of the use of a PC and the Internet
    Specific prerequisites for this course:
    Databases
    Basic programming skills, preferably in Java




    2. Learning outcomes

    Main objectives: Analysis of extended projects in computer science, design of extended projects in computer science.

    The students have to realize a project individually. They gain experience in a thorough analysis of a large practical database management problem and in the development of a practical solution.




    3. Course contents

    This year, we will implement a focused crawler which is able to automatically classify Web pages according to their textual contents. The goal of the project is to build a specialized search engine for researchers' homepages and their publications in the Computer Science domain. We will employ the following tools:
    • Java JDK 7
    • Apache Lucene
    • SVM-light
    • Apache PDFBox



    4. Teaching method

    Class contact teaching:
  • Laboratory sessions
  • Skills training

  • Personal work:
  • Assignments:In group

  • Project-based work:
  • In group

  • Facilities for working students
    Classroom activities:
    • Exercise sessions: free to choose the group division

    Individual work:
    • In group: individual alternative assignment possible


    5. Assessment method and criteria

    Presentation

    6. Study material

    Required reading

    Depending on the subject of the project.


    Optional reading

    The following study material can be studied on a voluntary basis:
    Depending on the subject of the project.


    7. Contact information

    (+)last update: 19/02/2013 17:17 martin.theobald  

    Software Engineering

     

    Model driven engineering
    Course Code :2001WETMTR
    Study domain:Computer Science
    Semester:Semester: 1st semester
    Contact hours:45
    Credits:6
    Study load (hours):168
    Contract restrictions: No contract restriction
    Language of instruction :English
    Exam period:exam in the 1st semester
    Lecturer(s)Hans Vangheluwe

     


    1. Prerequisites

    At the start of this course the student should have acquired the following competences:
    Specific prerequisites for this course:
    You have successfully completed a number of more complex programming projects, and you have a basic knowledge of software engineering concepts, specifically you have seen a few examples of one or more formal modeling languages, such as Petri Nets or Statecharts.


    2. Learning outcomes

    The purpose of the course is to introduce you to a few (say, 3) typical modeling languages used in software engineering, and the tools that are based on them. This means that you should be able to build a model for a simple application in each of the formalisms discussed, and that when building these models you pay sufficiently attention to their quality: do they have a clear structure, is the level of abstraction the right one, do they contain sufficient information to express relevant properties. You are also expected to show that you are able to use the different tools for simulation, verification and transformation for the models produced, and that you can explain the pros and cons of the various models.


    3. Course contents

    In the model-driven approach to software development, a software system is seen as a cluster of models, on various levels of abstraction and with various characteristics. Each of these models captures certain features or aspects of the systems, allows its own kind of analysis, and has its own tools available. In this way one may apply the many sophisticated tools and theories that have been developed for particular models by the research community. It is clear, however, that this will not work without powerful tools for integrating the various models, transforming them into one another, generating code from them, and keeping them consistent. The course introduces students to this area, concentrating on the use of a concrete, rule based  transformation engine.


    4. Teaching method

    Class contact teaching:
  • Seminars
  • Laboratory sessions



  • 5. Assessment method and criteria

    Examination:
  • Oral with written preparation

  • Continuous assessment:
  • Assignments


  • 6. Study material

    Required reading

    For each of the modeling languages discussed a number of papers and/or books will be made available.

    Optional reading

    The following study material can be studied on a voluntary basis:
    -


    7. Contact information

    (+)last update: 03/08/2012 10:27 jan.vos  

    Specification and verification
    Course Code :2001WETFSP
    Study domain:Computer Science
    Semester:Semester: 1st semester
    Contact hours:45
    Credits:6
    Study load (hours):168
    Contract restrictions: No contract restriction
    Language of instruction :English
    Exam period:exam in the 1st semester
    Lecturer(s)Dirk Janssens

     


    1. Prerequisites

    At the start of this course the student should have acquired the following competences:
    Specific prerequisites for this course:
    You have successfully completed a number of more complex programming projects and you have a basic knowledge of software engineering concepts.


    2. Learning outcomes

    Starting from an informal specification in natural language you have to write a specification in each of the formalisms considered. This specification should use in a sensible way the facilities offered by the languages: abstraction, refinement, modularity. You are also expected to be able to comment on a given specification, and you have to be able to explain the main characteristics of the various specification languages, their intended application area, etc.


    3. Course contents

    An important issue in the development of large software systems is the specification of its desired structural and dynamic properties. To avoid the impreciseness and ambiguities of specifications in natural language, a number of specialized formal languages, based on mathematics, have been developed: Hoare logic, Z, Alloy, etc. Moreover, these languages are supported by tools allowing various types of analysis and verification. The SPIN system is a prominent example of that. The course introduces the students to a number of specification and verification languages, their basic assumptions, tool support, advantages and limitations.


    4. Teaching method

    Class contact teaching:
  • Lectures
  • Practice sessions
  • Seminars

  • Personal work:
  • Casussen: Individually
  • Casussen: In group



  • 5. Assessment method and criteria

    Examination:
  • Oral with written preparation
  • Practical examination

  • Continuous assessment:
  • Assignments


  • 6. Study material

    Required reading

    For each of the specification languages discussed a number of papers and/or books will be made available.

    Optional reading

    The following study material can be studied on a voluntary basis:
    For the part on program logic: an extensive treatment can be found in:
     
    Krysztof R. Apt and Ernst-Rüdiger Olderog, Verification of Sequential and Concurrent Programs, Springer, ISBN 0-387-94896-1



    7. Contact information
    lecturer: Dirk.Janssens@ua.ac.be 
    (+)last update: 03/10/2012 10:55 dirk.janssens  

    Software reengineering
    Course Code :2001WETSRE
    Study domain:Computer Science
    Semester:Semester: 2nd semester
    Contact hours:45
    Credits:6
    Study load (hours):168
    Contract restrictions: No contract restriction
    Language of instruction :English
    Exam period:exam in the 2nd semester
    Lecturer(s)Serge Demeyer

     


    1. Prerequisites

    At the start of this course the student should have acquired the following competences:
    An active knowlegde of :
    • English
    (This course is taught in English)
    Specific prerequisites for this course:
    • Practical programming experience, preferably in a team context..
    • Profound knowledge about the testing of software (unit tests, regression tests)
    • Knowledge about the various techniques applied during a software project (requirements, analysis, design, implementation, testing, maintenance).
    • Knowledge about techniques for managing quality during a project (cost estimation, code reviews, metrics)



    2. Learning outcomes

    To become acquainted with a broad selection of principles, techniques and skills used when reengeneering existing software systems. After this course, a student will be able to

    1. assess which parts should be reengineered first;
    2. identify the risks and opportunities for a given reengineering project;
    3. extract coarse-grained and fine-grained design models;
    4. exploit tests during reengineeren;
    5. select de most appropriate migration strategy;
    6. solve the typical problems of an object-oriented reengineering project;
    7. give an overview of the recent research on software reengineering.
    As such, studens will obtain some of the core competences of a master in computer science. They learn to assess which parts should be reengineered first and select de most appropriate migration strategy which allows them to select between available techniques. This selection is performed with the necessary depth, by exploiting the underlying theories as well as the practical experience, in particular the lab sessions and the reengineering project. The overview of recent research in software reengineering is a necessary prerequisite for research and development (knowing which techniques can be applied to create a strategic advantage over competitors), as well as fundamental research (knowing the current research questions within the discipline of software engineering).


    3. Course contents

    This course concerns the 'state-of-the-art' of the reengineeren of existing software systems. This includes an introduction to the recent research, as well as an overview of the principles techniques and skills applied in practice today.

    The course has a practical ring to it with a minimal theoretical content (taught as reengineering patterns), several lab-sessions (trying out several tools) and one project (restructuring an existing large software system).



    4. Teaching method

    Class contact teaching:
  • Lectures
  • Laboratory sessions

  • Project-based work:
  • Individually

  • Project-based work:
  • In group



  • 5. Assessment method and criteria

    Examination:
  • Practical examination


  • 6. Study material

    Required reading

    • Serge Demeyer, Stéphane Ducasse and Oscar Nierstrasz, Object-oriented Reengineering Patterns, Morgan Kaufmann Publishers, 2002.
    See also  http://www.lore.ua.ac.be/Teaching/SReengMaster/


      Optional reading

      The following study material can be studied on a voluntary basis:



      7. Contact information
      Professor: 
      Assistant: 

      (+)last update: 18/07/2011 17:09 serge.demeyer  

      Selected topics in software engineering
      Course Code :2001WETCSE
      Study domain:Computer Science
      Semester:Semester: 1st/2nd semester
      Contact hours:45
      Credits:6
      Study load (hours):168
      Contract restrictions: No contract restriction
      Language of instruction :English
      Exam period:exam in the 1st and/or 2nd semester
      Lecturer(s)Serge Demeyer

       


      1. Prerequisites

      At the start of this course the student should have acquired the following competences:
      An active knowlegde of :
      • English
      (This course is taught in English)
      Specific prerequisites for this course:
      • You have the knowledge, skills and attitude which might be expected from a graduate student in computer science (Informatics)
        • You have profound experience with programming in an object-oriented language (e.g. C++, Java)
        • You can demonstrate deep knowledge concerning the formal foundations of computer science (logics, algorithms, complexity theory, finite automata)
        • You obtained an overview of some of the basic disciplines within computer science (databases, telecommunication, distributed systems)
      • You have a vivid interest in Software Engineering



      2. Learning outcomes

      After this course you will ...
      • be aware of recent developments in the field of software engineering
      • be able to follow the rapidly expanding literature in our field
      As such, studens will obtain some of the core competences of a master in computer science. They learn to distinguish and make trade-offs between recent techniques and methods within Software Engineering, which allows them to select between available techniques. This selection is performed with the necessary depth, by exploiting the underlying theories as well as the practical experience. This overview of recent techniques is a necessary prerequisite for research and development (knowing which techniques can be applied to create a strategic advantage over competitors), as well as fundamental research (knowing the current research questions within the discipline of software engineering).


      3. Course contents

      This course is jointly organised by three participating universities and course deals with a variety of topics, selected based upon the research conducted in the participating research group. Lectures will be given in different campuses spread over flanders and students are expected to travel several times to these remote sites during the academic year.

      For each of the modules we plan 2 lectures of 4 hours each, which will be organised on the campus of the respective university. Students must reach this campus using their own transportation means. Everything is planned in such a way that overlap with other lectures is kept to a strict minimum. We keep track of which students participated in the lectures; students must notify beforehand if they cannot attend a lecture.

      For each of the modules students must perform an assignment (project, research paper, experiment) which will be used to decide on the grade. 



      4. Teaching method

      Class contact teaching:
    • Lectures
    • Seminars

    • Personal work:
    • Paper: Individually

    • Project-based work:
    • Individually



    • 5. Assessment method and criteria

      Examination:
    • Written without oral presentation
    • Written with oral presentation
    • Oral without written preparation
    • Oral with written preparation

    • Written assignment:
    • With oral presentation
    • Without oral presentation


    • 6. Study material

      Required reading

      Course material varies significantly depending on each of the three modules. All material is distributed over the world-wide web and accessible via http://ansymo.ua.ac.be/courses/capita-selecta-software-engineering-1st-and-2nd-ma

      Optional reading

      The following study material can be studied on a voluntary basis:



      7. Contact information

      Professors from the three participating universities

      • Universiteit Antwerpen: Prof. Serge Demeyer [ http://www.win.ua.ac.be/~sdemey/ ]
      • KULeuven: Prof. Eric Steegmans, Prof. Bart Jacobs
      • Vrije Universiteit Brussel: Prof. Viviane Jonckers
      See http://www.lore.ua.ac.be/Teaching/CapitaMaster/
      (+)last update: 22/09/2012 22:26 serge.demeyer  

      Software Testing
      Course Code :2001WETSWT
      Study domain:Computer Science
      Bi-anuall course:Taught in academic years starting in an even year
      Semester:Semester: 2nd semester
      Contact hours:45
      Credits:6
      Study load (hours):168
      Contract restrictions: No contract restriction
      Language of instruction :English
      Exam period:exam in the 2nd semester
      Lecturer(s)Serge Demeyer

       


      1. Prerequisites

      At the start of this course the student should have acquired the following competences:
      An active knowlegde of :
      • English
      (This course is taught in English)
      Specific prerequisites for this course:
      • Practical programming experience, preferably in a team context..
      • Profound knowledge about the testing of software (unit tests, regression tests)
      • Knowledge about the various techniques applied during a software project (requirements, analysis, design, implementation, testing, maintenance).
      • Knowledge about techniques for managing quality during a project (cost estimation, code reviews, metrics)
      The easiest way to satisfy these prerequisites is to have a passing grade for the course Software Engineering (BA 3 Computer Science).



        2. Learning outcomes

        After this course, a student will be able to

        1. distinguish between various test strategies;
        2. select the most appropriate test techniques for a given test strategy;
        3. assess and improve the coverage of a test suite.
        As such, studens will obtain some of the core competences of a master in computer science. They learn to distinguish between various test strategies and select the most appropriate test techniques which allows them to select between available techniques. This selection is performed with the necessary depth, by exploiting the underlying theories as well as the practical experience. The assessment and improvement of the coverage of a test suite is part of research and development (knowing which techniques can be applied to create a strategic advantage over competitors), as well as fundamental research (knowing the current research questions within the discipline of software engineering).


        3. Course contents

        De student will acquire experience with torough testing and verification of a software system, to guarantee with a certaing degree of confidence that a given software system meets its specification.

        The course has a practical ring to it with a minimal theoretical content (taught as testing patterns; students have to deliver some of the lectures themselves), several lab-sessions (trying out several test techniques and strategies on an existing software system) and industrial guest speakers illustrating how testing is done in real projects.

        From the academic year 2009-2012 onward, this course will be offered every 2 years. It will NOT be offered in 2009-2010; 2011-2012; ... but will be offered in 2010-2011; 2012-2013; .... The motivation for this organisation is the fact that this course explicitly invites industrial guest speakers; a feature well-appreciated by the fellow students. Offering the course every two years must guarantee that these industrial lectures attract sufficent participants.




        4. Teaching method

        Class contact teaching:
      • Lectures
      • Practice sessions
      • Laboratory sessions

      • Project-based work:
      • Individually

      • Project-based work:
      • In group



      • 5. Assessment method and criteria

        Examination:
      • Practical examination


      • 6. Study material

        Required reading

        • Robert V. Binder, Testing Object-Oriented Systems (Models, Patterns, and Tools), Addison-Wesley, 2000.


        Optional reading

        The following study material can be studied on a voluntary basis:
        See http://ansymo.ua.ac.be/courses/software-testing.


        7. Contact information

        Professor:

        Prof. S. Demeyer [http://www.win.ua.ac.be/~sdemey/ ]

        Assistant:

        Ahmed Lamkanfi


        (+)last update: 07/02/2013 23:05 serge.demeyer  

        OPTIONS (30 ECTS)

        The student has to choose 1 option: Research, Entrepreneurship or Education

        Option Research (30 ECTS)

         

        Research Internship 1
        Course Code :2003WETOZS
        Study domain:Computer Science
        Semester:Semester: 2nd semester
        Contact hours:180
        Credits:15
        Study load (hours):420
        Contract restrictions: No contract restriction
        Language of instruction :Dutch
        Exam period:exam in the 2nd semester
        Lecturer(s)- NNB

         


        1. Prerequisites

        At the start of this course the student should have acquired the following competences:
        An active knowlegde of :
        • Dutch
        • English
        A passive knowledge of :
        • English

        2. Learning outcomes




        3. Course contents




        4. Teaching method



        5. Assessment method and criteria


        6. Study material

        Required reading



        Optional reading

        The following study material can be studied on a voluntary basis:



        7. Contact information

        (+)last update: 21/03/2012 17:08 serge.demeyer  

        Research Internship 2
        Course Code :2004WETOZS
        Study domain:Computer Science
        Semester:Semester: 2nd semester
        Contact hours:180
        Credits:15
        Study load (hours):420
        Contract restrictions: No contract restriction
        Language of instruction :Dutch
        Exam period:exam in the 2nd semester
        Lecturer(s)- NNB

         

        No description found

         

        Option Entrepreneurship (30 ECTS)

         

        Strategic Business Communication
        Course Code :2001FBDOOD
        Study domain:Business sciences
        Semester:Semester: 1st semester
        Contact hours:45
        Credits:6
        Study load (hours):168
        Contract restrictions: No contract restriction
        Language of instruction :Dutch
        Exam period:exam in the 1st semester
        Lecturer(s)Mariëlle Leijten
        Marius Opsomer

         


        1. Prerequisites

        At the start of this course the student should have acquired the following competences:
        An active knowlegde of :
        • Dutch
        Dutch at mother tongue level
        Specific prerequisites for this course:
        - General interest in management processes

        This course cannot be taken with an exam contract.


        2. Learning outcomes

        A scientist that functions in an organization needs to be capable of strategic communication with colleagues (both superiors and subordinates), concerning topics that are field-related and non-field-related.  Therefore, he or she should master a number of oral and written communication skills at a professional level, together with having a firm grasp of management aspects of communication.
        Upon completion of this course, students should be able to prepare and deliver effective oral and written communication for business situations and be able to apply business communication strategies and principles:
        - To plan the message by defining purpose, analyzing audience, selecting channel and medium;
        - To organize and compose the message by selecting appropriate organizational formats;
        - To revise the message by editing, rewriting, producing and proofreading (together with peers).


        3. Course contents

        This course consists of three components: management communication, technical communication, and business communication.  Together, the components form an introduction to management and strategic business communication in Dutch. Different topics of professional communication (oral and written; internal and external communication) are dealt with.  The approach is modular and non-comprehensive: a few representative communication themes are treated in depth, so that the student can get acquainted with subjects that are relevant to middle management employees in a medium to large-sized organization.


        4. Teaching method

        Class contact teaching:
      • Lectures
      • Practice sessions
      • Tutorials
      • Skills training

      • Personal work:
      • Exercises
      • Assignments:Individually
      • Assignments:In group
      • Paper: Individually

      • Directed self-study
        Portfolio


        5. Assessment method and criteria

        Continuous assessment:
      • Exercises
      • Assignments
      • Participation in classroom activities

      • Portfolio:
      • Without oral presentation


      • 6. Study material

        Required reading

        -   Reader (available at campus Drie Eiken)
        -   Calliope (www.calliope.be)
        -   Handouts
         
         

        Optional reading

        The following study material can be studied on a voluntary basis:

        none




        7. Contact information

        Mariëlle Leijten
        Universiteit Antwerpen, Faculteit Toegepaste Economische Wetenschappen
        Departement Management
        Kipdorp 61, SZ. 506
        2000 Antwerpen
        t. 03 265 50 72
        mariëlle.leijten@ua.ac.be
        www.ua.ac.be/marielle.leijten

        Marius Opsomer
        Universiteit Antwerpen, Faculteit Toegepaste Economische Wetenschappen
        Departement Management
        Kipdorp 61, SZ. 504
        2000 Antwerpen
        t. 03 265 50 23
        marius.opsomer@ua.ac.be 
         
        Véronique Vanderhoudelingen
        Universiteit Antwerpen, Faculteit Toegepaste Economische Wetenschappen
        Departement Management
        Kipdorp 61, SZ. 504
        2000 Antwerpen
        t. 03 265 50 23
        veronique.vanderhoudelingen@ua.ac.be


        (+)last update: 25/09/2012 10:22 marielle.leijten  

        Organisation management
        Course Code :2002FBDOOD
        Study domain:Business sciences
        Semester:Semester: 1st semester
        Contact hours:45
        Credits:6
        Study load (hours):168
        Contract restrictions: No contract restriction
        Language of instruction :Dutch
        Exam period:exam in the 1st semester
        Lecturer(s)Paul Matthyssens
        Frank Bostyn

         


        1. Prerequisites

        At the start of this course the student should have acquired the following competences:
        An active knowlegde of :
        • Dutch
        A passive knowledge of :
        • English
        Specific prerequisites for this course:
        General interest in micro and macro economics.


        2. Learning outcomes

        ·     Basic knowledge regarding core concepts, methods and instruments for management and organization;

        ·         Insight into the inter-linkages of core aspects of organizations

        ·         Competencies for applying knowledge on management and organization

        ·         Building basic competencies necessary for junior management functions such as data generation, analysis, interpretation, contacting and interviewing managers, managing deadlines, etc

         

          • Understanding management jargon and work in multidisciplinary teams in companies
          • Understanding business press messages on strategy of companies.



        3. Course contents

          • In the theoretical part concept and trends in management are discussed. Attention is guided towards basic concepts and terminology such as market dynamics, strategy types, learning organization, planning, etc. Specific attention goes to how strategy and planning can be formulated from two different perspectives: industrial economics and the ‘Resource Based View’.
          • In the practitioners part, that runs parallel to the theoretical part, applications are developed based on analysis of an industry and a company (focus bio/pharmaceuticals or ITC in function of the specialization of the students). Based on an objective analysis of the environment, students develop a frame to understand and evaluate the strategy of a real company. This way, students learn how to structure the complex environment and learn to be critical in looking at companies. An enriched SWOT (Strengths, Weaknesses, Opportunities and Threats) analysis is key in this endeavor.



        4. Teaching method

        Class contact teaching:
      • Lectures
      • Tutorials

      • Personal work:
      • Assignments:In group
      • Casussen: In group



      • 5. Assessment method and criteria

        Examination:
      • Oral with written preparation
      • Open book
      • Open-question

      • Continuous assessment:
      • Assignments


      • 6. Study material

        Required reading

          • Course syllabus at Cursusdienst Campus Drie Eiken
          • Cases in class
          • PowerPoint slides and some readings (on BlackBoard)

         



        Optional reading

        The following study material can be studied on a voluntary basis:
        /


        7. Contact information

        (+)last update: 26/09/2012 11:44 marleen.eyckmans  

        Financial management and legal aspects
        Course Code :2003FBDOOD
        Study domain:Business sciences
        Semester:Semester: 2nd semester
        Sequentiality:
        Contact hours:45
        Credits:6
        Study load (hours):168
        Contract restrictions: No contract restriction
        Language of instruction :Dutch
        Exam period:exam in the 2nd semester
        Lecturer(s)Eddy Laveren
        Vincent Molly

         


        1. Prerequisites

        At the start of this course the student should have acquired the following competences:
        Specific prerequisites for this course:
        -  Basic knowledge management; 
        -  Be able to work with a calculator and MS Excel.




        2. Learning outcomes

        -  The students should have gain insight into the various concepts, methods and instruments used with respect to financial management of a company;

        -  The students should have gain insight into the financial and juridical knowledge necessary for starting and managing a business:

        -  The students should be able to apply this knowledge and insight in solving several problems and challenges related to the management of a company.




        3. Course contents

        The course is divided in two parts: financial management of SMEs and juridical aspects of corporate policy.
         
        Partim 1:  Financial management of SMEs
         
        After an introduction on the financial aspects applicable to starting a business, attention is given to the technique of bookkeeping and the content of the financial accounts. In a next step, we elaborate further on the way in which this information can be used for taking financial decisions. The following subjects will be discussed:

        -         analysis of the financial accounts (static and dynamic analysis);
        -         cost price calculation and break-even analysis;
        -         work out financial forecasts and draw up financial plans;

        -         assessment and selection of investment projects;
        -         demand and supply side of SME financing;
        -         venture capital, business angels and mezzanine financing;
        -         working capital management.
         
        Partim 2: Juridical aspects of corporate policy
         
        After a general introduction on the juridical basic concepts of corporate policy, attention is given to the most important aspects of commercial law, corporate law and fiscal law. The following subjects will be discussed:

        - overview of the pros and cons of several legal forms of an organization;

        - introduction to the trade practices act;
        - introduction to contract law;
        - introduction to corporate tax and VAT.
         
        The classes will be organized in an interactive way. Exercises and case studies should lead to an increase of the students’ capacity to apply the knowledge (concepts and techniques) in a real life context. The students need to work out and present a number of group tasks.




        4. Teaching method

        Class contact teaching:
      • Lectures
      • Practice sessions

      • Personal work:
      • Assignments:In group



      • 5. Assessment method and criteria

        Examination:
      • Written without oral presentation
      • Closed book
      • Open book

      • Written assignment:
      • Without oral presentation


      • 6. Study material

        Required reading

        Eddy Laveren, Peter-Jan Engelen, Arthur Limère & Sigrid Vandemaele (2009), Handboek Financieel Beheer, Intersentia, Antwerpen, derde druk.

         

        Syllabus of professor



        Optional reading

        The following study material can be studied on a voluntary basis:
        The lectures are taught using powerpoint. It is adviced that the students read the text of the book chapter that will be discussed before they come to the lecture.


        7. Contact information
        Eddy Laveren (professor): Room B-320, Tel: 03/220.40.86, e-mail: eddy.laveren@ua.ac.be
        David Helleboogh (assistant): Room B-318, Tel: 03/220.41.79, e-mail:
        david.helleboogh@ua.ac.be


        (+)last update: 13/06/2011 17:47 eddy.laveren  

        Innovation and entrepreneurship
        Course Code :2004FBDOOD
        Study domain:Business sciences
        Semester:Semester: 1st semester
        Sequentiality:
        Contact hours:45
        Credits:6
        Study load (hours):168
        Contract restrictions: No contract restriction
        Language of instruction :Dutch
        Exam period:exam in the 1st semester
        Lecturer(s)Johan Braet

         


        1. Prerequisites

        At the start of this course the student should have acquired the following competences:
        An active knowlegde of :
        • English
        • General knowledge of the use of a PC and the Internet
        Specific prerequisites for this course:
        The student attending this course should at least have followed course for 150 ECTS or comparable of an Economic Building, Business administration and have at least some insights into finance.


        2. Learning outcomes


        The student:
        -          Gains insights in the process of innovation, concerning ab initio innovation and portfolio-innovation process.
        -          Gains insights in different facets of company life and surrounding factors (human, market, company) that are important in innovation.
        -          Gains insights in new methods of product development.
        -          Can evaluate the feasibility of an innovation in a certain situation.
        -          Can understand and make a financial plan and business plan for an innovative idea.
        -          Understands a technological benchmark.


        3. Course contents


        The course addresses:
        - Quality assessment of Science and Technology.
        - Protection of intellectual property and Freedom to Operate.
        - Integrated Product development.
        - Product definition vs market.
        - The Team.
        - Organization and Innovation.
        - Business strategy and alliances.
        - Budget and finances.
        - Business Plan.- Validation.


        4. Teaching method

        Class contact teaching:
      • Lectures
      • Practice sessions
      • Tutorials
      • Skills training

      • Personal work:
      • Exercises
      • Assignments:In group
      • Casussen: Individually
      • Casussen: In group



      • 5. Assessment method and criteria

        Examination:
      • Oral with written preparation
      • Open book

      • Continuous assessment:
      • Assignments
      • Case studies

      • Written assignment:
      • With oral presentation

      • Presentation

        6. Study material

        Required reading

        The Practice of New Products and New Business, ACCO (2007) by Johan Braet and Paul Verhaert

        Optional reading

        The following study material can be studied on a voluntary basis:



        7. Contact information

        (+)last update: 20/09/2012 09:28 marleen.eyckmans  

        Process management and quality care
        Course Code :2005FBDOOD
        Study domain:Business sciences
        Semester:Semester: 1st semester
        Sequentiality:
        Contact hours:45
        Credits:6
        Study load (hours):168
        Contract restrictions: No contract restriction
        Language of instruction :Dutch
        Exam period:exam in the 1st semester
        Lecturer(s)Vassilios Kritis
        Johan Braet

         


        1. Prerequisites

        At the start of this course the student should have acquired the following competences:
        An active knowlegde of :
        • English
        Specific prerequisites for this course:


        Basic knowledge concerning economy and management, such as what has been learned in the courses of this module in year 1


        Basic concepts of Statistics.




        2. Learning outcomes


        The student can:
         
        -       Gain a proper insight in the setup of quality systems (ISO900X, ISO1400X, HACCP). The knowledge of legislation is a passive knowledge.
        -       To plan a proper process analysis
        -       To discover critical points in processes
        -       To perform a management evaluation in accordance with the law
        -       To situate an activity in an economical context and suggest new activities.


        3. Course contents


        Partim 1: Procesanalysis (Prof. Dr. ir Vassilios Kritis)
        Different industrial processes will be analysed. ‘Osterwalder’ concepts will be discussed.


        Partim 2: Integrated care systems and industrial risk management (Prof. Dr. Johan Braet)
        The course explains how a care system is build up. An overview of legal standards are given using field examples.
        A practical exercise is performed in groups of max. 3 students.


        Partim 3: Integration (Prof. Dr. ir Vassilios Kritis)
        In this partim, different concepts and knowledge will be put into practice.




        4. Teaching method

        Class contact teaching:
      • Lectures
      • Tutorials

      • Personal work:
      • Assignments:In group
      • Casussen: In group



      • 5. Assessment method and criteria

        Examination:
      • Oral with written preparation

      • Presentation

        6. Study material

        Required reading



        Optional reading

        The following study material can be studied on a voluntary basis:



        7. Contact information

        (+)last update: 29/06/2012 10:38 marleen.eyckmans  

        Option Education (30 ECTS)

        Compulsory courses (24 ECTS)

        Introduction to didactics
        Course Code :6101OIWIDI
        Study domain:Instructional and educational
        Semester:Semester: 1st semester
        Contact hours:18
        Credits:3
        Study load (hours):84
        Contract restrictions: Exam contract not possible
        Language of instruction :Dutch
        Exam period:exam in the 1st semester
        Lecturer(s)Wil Meeus
        Gilberte Verbeeck

         


        1. Prerequisites

        At the start of this course the student should have acquired the following competences:
        An active knowlegde of :
        • Dutch
        • General knowledge of the use of a PC and the Internet
        Specific prerequisites for this course:
        The student is to have acquired the general final competences of an academic bachelor's degree.
        Solid written and oral Dutch language skills are required as well.


        2. Learning outcomes

        The teacher as monitor of learning and developmental processes
        • assesses the initial levels of individual learners and groups of learners;
        • selects and formulates objectives;
        • selects, course contents and learning experiences;
        • structures contents and experiences and transforms them into learning activities;
        • designs adequate methods and settings;
        • agrees and implements media in a team;
        • creates a beneficial learning environment;
        • organises observation and evaluation;
        • observes and evaluates both processes and achievements.

        The teacher as an organizer:
        • creates a clear working atmosphere;
        • plans and structures lessons adequately and flexibly;
        • takes care of administrative tasks correctly;
        • creates a stimulating classroom setting;
        • observers safety concerns.



        3. Course contents

        These topics are dealt with:
        • the professional profile: basic competences, vision, didactical framework, planning;
        • the lessonplan: level assesment, didactical/teaching principles, objectives, contents, settings, didactical approaches, cooperative learning, media, evaluation;



        4. Teaching method

        Class contact teaching:
      • Lectures



      • 5. Assessment method and criteria

        Examination:
      • Written without oral presentation


      • 6. Study material

        Required reading

        Imbrecht, I., Van Petegem, P. & Meeus W. (2008). Oriëntatie in onderwijskunde. Een openleerpakket. Leuven: Acco.


        Optional reading

        The following study material can be studied on a voluntary basis:
        Documents on Blackboard


        7. Contact information

        (+)last update: 23/03/2012 16:30 wil.meeus  

        Didactics of computer science
        Course Code :6231OIWINF
        Study domain:Instructional and educational
        Semester:Semester: 1st semester
        Contact hours:36
        Credits:6
        Study load (hours):168
        Contract restrictions: Exam contract not possible
        Language of instruction :Dutch
        Exam period:exam in the 1st semester
        Lecturer(s)Johan Deprez

         


        1. Prerequisites

        At the start of this course the student should have acquired the following competences:
        An active knowlegde of :
        • Dutch
        A passive knowledge of :
        • French
        • English
        • General knowledge of the use of a PC and the Internet
        Specific prerequisites for this course:

        We expect the student to possess the general competences corresponding to an academic Bachelor degree. Moreover, the student must have finished the course Introduction to didactics (or follow it simultaneously). Finally, the student has to be competent in the field of computer science, i.e. he should possess a combination of knowledge, skills and attitudes that enables him to function as a teacher of computer science in secondary school. If he does not have a Master degree of Computer Science, this will be tested.




        2. Learning outcomes

        This course prepares students to become a teacher of computer science and ICT coordinator in secondary school. The learning outcomes are derived from the so-called basic competences of a teacher in secondary school as described by the Flemish Government (see http://www.ond.vlaanderen.be/nieuws/archief/2007/2007p/files/0420-bijlage4.pdf).




        3. Course contents

        • making of a lesson plan, applied to preparation of lessons in computer science
        • computer science in Flemish secondary education
        • tasks of an ICT coordinator
        • computer science and ICT in middle school
        • computer science in junior high school
        • computer science in computer oriented programs in high school
        • learning trajectories
        • ethical questions
        • opinions regarding education in computer science
        • education in computer science in other countries and in the past



        4. Teaching method

        Class contact teaching:
      • Tutorials

      • Personal work:
      • Assignments:Individually
      • Assignments:In group



      • 5. Assessment method and criteria

        Continuous assessment:
      • Assignments


      • 6. Study material

        Required reading

        Slides, texts, ... will be available via Blackboard.



        Optional reading

        The following study material can be studied on a voluntary basis:



        7. Contact information

        (+)last update: 01/05/2012 20:48 johan.deprez  

        Practice sessions
        Course Code :6400OIWOEF
        Study domain:Instructional and educational
        Semester:Semester: 1st semester
        Contact hours:36
        Credits:3
        Study load (hours):84
        Contract restrictions: Credit and exam contract not possible
        Language of instruction :Dutch
        Exam period:exam in the 1st semester
        Lecturer(s)Paul Janssenswillen
        Johan Deprez
        Rita Rymenans
        Wil Meeus
        Wouter Schelfhout
        Luc Braeckmans
        Annie Pinxten
        Mathea Simons
        Helma De Smedt
        Tom Smits
        Peter Visser

         


        1. Prerequisites

        At the start of this course the student should have acquired the following competences:
        Specific prerequisites for this course:
        *General competences

                    - Final competences of an academic bachelor’s degree; 
                    - Adequate language skills of Dutch.
         
        * The student has completed the following course modules or to take them simultaneously:

                    - Introduction to didactics;
                    - Didactics of the subject with which the practice sessions are associated.


        2. Learning outcomes

        The final competences consist of the basic competences (knowledge, skills and attitude) required of a teacher at secondary school level by the Flemish Government (http://www.ond.vlaanderen.be/edulex/database/document/document.asp?docid=13952#245903). They are categorised as ten functional domains. Priority is given to the following domains in the practice sessions:

        • The teacher as a monitor of developmental and learning processes;
        • The teacher as an expert in his field; 
        • The teacher as an organiser;
        • The teacher as an innovator/researcher.
        Attitudes that receive special attention are decision-making, organizational power and cooperation.


        3. Course contents

        The practice sessions link up with the specific didactics of the subject(s) the student takes. They are supervised by the specific didactics professor and his/her assistants. Students trained in two subjects will split the amount of time spent on the two options. In this course description only the main principles are outlined. More information can be found in the Course Guide for the Practice Sessions of the specific didactics.

        Practice sessions are lessons in which students teach fellow students or pupils of secondary education. These lessons need to be prepared and will be discussed afterwards. Students attend their fellow students’ lessons and participate actively. Attendance and participation during all practice sessions are absolutely essential, for practising as well as for experiencing. The students can explore the interaction with an audience, the organisation of classes and observe the impact of all kinds of techniques on themselves. The framework is provided by the general and the specific didactics courses.




        4. Teaching method

        Class contact teaching:
      • Practice sessions
      • Skills training

      • Personal work:
      • Exercises
      • Assignments:Individually
      • Assignments:In group

      • Portfolio


        5. Assessment method and criteria

        Continuous assessment:
      • Exercises
      • Assignments
      • Participation in classroom activities

      • Portfolio:
      • Without oral presentation


      • 6. Study material

        Required reading

        Course Guide Practice Sessions
        Lesson Plans, Obervation and Evaluation Forms

        Optional reading

        The following study material can be studied on a voluntary basis:



        7. Contact information

        (+)last update: 29/06/2012 16:56 rita.rymenans  

        Student counselling
        Course Code :6102OIWLLB
        Study domain:Instructional and educational
        Semester:Semester: 2nd semester
        Contact hours:18
        Credits:3
        Study load (hours):84
        Contract restrictions: Exam contract not possible
        Language of instruction :Dutch
        Exam period:exam in the 2nd semester
        Lecturer(s)Elke Struyf
        Carlijne Ceulemans

         


        1. Prerequisites

        At the start of this course the student should have acquired the following competences:
        An active knowlegde of :
        • Dutch
        Specific prerequisites for this course:
        No specific prerequisites needed.


        2. Learning outcomes

        The objectives of this courses are connected with the basic competences of the beginning teacher of the secondary school, as prescribed by the Flemish Government: the teacher as a monitor, the teacher as an educator, the teacher as a partner of parents and the teacher as a partner of external parties.

        The attitudes receiving primary attention are: responsibility, flexibility, relational orientation and ability to cooperate.




        3. Course contents

        The following topics are dicussed:

        1. Student care and counselling

        2. Conversation techniques

        3. Inclusive education

        4. Students demanding specific care




        4. Teaching method

        Class contact teaching:
      • Lectures

      • Personal work:
      • Assignments:Individually



      • 5. Assessment method and criteria

        Examination:
      • Written without oral presentation
      • Closed book
      • Multiple-choice
      • Open-question


      • 6. Study material

        Required reading

        Composed reader.

        Optional reading

        The following study material can be studied on a voluntary basis:
        Available on blackboard.


        7. Contact information

        (+)last update: 05/07/2013 16:04 carlijne.ceulemans  

        In-school training: immersion
        Course Code :6500OIWINL
        Study domain:Instructional and educational
        Semester:Semester: 2nd semester
        Contact hours:0
        Credits:3
        Study load (hours):84
        Contract restrictions: Credit and exam contract not possible
        Language of instruction :Dutch
        Exam period:exam in the 2nd semester
        Lecturer(s)Elke Struyf
        Wouter Brandt
        Ingrid Imbrecht

         


        1. Prerequisites

        At the start of this course the student should have acquired the following competences:
        An active knowlegde of :
        • Dutch
        Specific prerequisites for this course:


                       - Final competences of an academic bachelor’s degree:

                       - Adequate language skills.





        2. Learning outcomes

        The final competences encompass the basic competences (knowledge, skills, attitude) of the secondary school teacher as stipulated by the Flemish Government and clustered in ten functional domains (in the December 30, 2006 version). The basic competences focused on during the immersion phase of the in-school training are the following functional domains:
         
        1. The teacher as a monitor of developmental and learning processes (basic competences 1.1, 1.2, 1.3, 1.4, 1.5, 1.6, 1.7, 1.8, 1.9, 1.10, 1.11, 1.12, 1.13);

        2. The teacher as an educator (basic competences 2.1, 2.2, 2.3, 2.4, 2.5, 2.6, 2.7);
        4. The teacher as an organiser (basic competences 4.1, 4.2, 4.3, 4.4);
        6. The teacher as a partner of parents or guardians (basic competences 6.1, 6.2, 6.3, 6.4, 6.5);
        7. The teacher as a member of a school team (basic competences 7.1, 7.2, 7.3, 7.4).
         
        Attitudes that are given priority are:
         
        A4 inquisitiveness;
        A5 organisational ability;
        A7 responsibility.




        3. Course contents

        In this course description only the main principles are outlined. For further details consult the Wegwijzer Inleefstage (immersion stage course guide) that will be available at the beginning of the academic year.
         
        At the immersion stage of their in-school training the students are introduced to a wide range of activities that are part of the teaching profession. Besides observation of classes (microlevel) attention is paid to activities at school level (mesolevel) and to the way the school as an organisation deals with government directives (macrolevel). The students don’t observe the lessons from the perspective of their own field but within the scope of teacher learner interaction, the pupils’ interests, activating settings, etc. Activities at school level encompass participation in meetings, supervision, contacts with external partners, etc. The students also immerse in the school context, e.g. policy implementation, tutoring, participation, etc. with reference to governmental decrees pertaining to these matters.


        The students accomplish the immersion module in a schools with a professional or technical orientation. The added value of the immersion lies in experiencing educational and learning environments that are unfamiliar to them and so broaden their views on education. Hence, students are not allowed to choose their own secondary school for the immersion.

         




        4. Teaching method

        Personal work:
      • Assignments:Individually

      • Placement


        5. Assessment method and criteria

        Portfolio:
      • Without oral presentation


      • 6. Study material

        Required reading

        Course Guide Immersion Module (Wegwijzer Inleefstage)
        Workbook

        Information and forms on the electronic learning platform



        Optional reading

        The following study material can be studied on a voluntary basis:
        Fontys Lerarenopleiding: Bronnenboek bij Stagehandreiking. Suggesties voor opdrachten. Tilburg, Fontys Hogescholen Nederland, 2005.


        7. Contact information

        (+)last update: 15/06/2011 17:46 elke.struyf  

        Educational politics and policies
        Course Code :6103OIWOOB
        Study domain:Instructional and educational
        Semester:Semester: 1st semester
        Contact hours:18
        Credits:3
        Study load (hours):84
        Contract restrictions: Exam contract not possible
        Language of instruction :Dutch
        Exam period:exam in the 1st semester
        Lecturer(s)Peter Van Petegem
        Ingrid Imbrecht

         


        1. Prerequisites

        At the start of this course the student should have acquired the following competences:
        Specific prerequisites for this course:

        The final competences of an academic bachelor; the competences acquired in previous courses of teacher training and correct use of language (Dutch).




        2. Learning outcomes

        To stimulate starting competences for teaching in higher secondary education.
        This involves the teacher as

        • member of a school team;
        • member of a teaching community;
        • participator in culture;
        • working together with non-school educative organisations.



        3. Course contents

        A critical view on the way education is provided and organised. The student will be informed on the goals, functions, contents, organisational forms of education, the values and ideologies in education, it's relation with society,....
        Educational structures, educational policies, educational sociology, school structures, school cultures and school policies and external relations are part of the lessons.



        4. Teaching method

        Class contact teaching:
      • Lectures

      • Personal work:
      • Assignments:In group



      • 5. Assessment method and criteria

        Examination:
      • Written without oral presentation
      • Open book


      • 6. Study material

        Required reading

        Van Petegem, P. en Imbrecht, I. (2010). Wegwijs in het Vlaamse onderwijs. Onderwijsorganisatie en -beleid in kaart gebracht. Mechelen: Wolters Plantyn.



        Optional reading

        The following study material can be studied on a voluntary basis:
        Recent articles and information provided on blackboard.


        7. Contact information
        Prof. Dr. Peter Van Petegem
        E-mailadres peter.vanpetegem@ua.ac.be
        Telefoon (werk) 03 220 47 05
        Kantoorlocatie s.Ve35.106
        Kantooruren na afspraak
        Persoonlijke koppeling http://www.ua.ac.be/main.aspx?c=peter.vanpetegem
        Prof. Dr. Peter  Van Petegem
        Assistent  Ingrid Imbrecht
        E-mailadres ingrid.imbrecht@ua.ac.be
        Telefoon (werk) 03 220 49 67
        Kantoorlocatie s.Ve35.107
        Kantooruren na afspraak

        (+)last update: 07/06/2012 11:24 peter.vanpetegem  

        In-school training: initiation
        Course Code :6600OIWINS
        Study domain:Instructional and educational
        Semester:Semester: 2nd semester
        Sequentiality:
        Contact hours:0
        Credits:3
        Study load (hours):84
        Contract restrictions: Credit and exam contract not possible
        Language of instruction :Dutch
        Exam period:exam in the 2nd semester
        Lecturer(s)Rita Rymenans
        Luc Braeckmans
        Mathea Simons
        Paul Janssenswillen
        Wil Meeus
        Annie Pinxten
        Johan Deprez
        Tom Smits
        Wouter Schelfhout

         


        1. Prerequisites

        At the start of this course the student should have acquired the following competences:
        An active knowlegde of :
        • Dutch
        • General knowledge of the use of a PC and the Internet
        Specific prerequisites for this course:
        • Final competences of an academic bachelor’s degree;
        • Adequate language skills.

        * The student needs to have completed the following course modules or to take them simultaneously with the in-school training:

        • Introduction to didactics;
        • The didactics of the subjects preparing the in-school initiation;
        • Practice sessions;
        • In-school training: immersion



        2. Learning outcomes

        The final competences are derived from the so-called basic competences of a teacher in secondary school as described by the Flemish Government (http://www.ond.vlaanderen.be/edulex/database/document/document.asp?docid=13952#245903). The basic competences focused on during the initiation phase of the in-school training belong to the following socalled functional domains:

        • The teacher as a monitor of developmental and learning processes;
        • The teacher as an educator;
        • The teacher as an expert in his field;
        • The teacher as an organiser.

        Attitudes that are given priority are decision-making ability and flexibility.




        3. Course contents

        The in-school initiation is a continuation of the course(s) didactics for which the student is registered. In this course description the general principles are outlined. Further details can be found in the Wegwijzer Instapstage (course guide).

        At the initiation stage of their in-school training the students get to know the role of a teacher a bit better. The training corresponds to the school subject chosen in the teacher education program.

        The focus is on observation: you observe 6 lessons, during each of which you do one of the observation tasks from the course description. You will also prepare and teach a restricted number (4) of lessons.

        The initiation phase takes place at one school, normally one of the schools where the in school training will be completed.




        4. Teaching method

        Placement


        5. Assessment method and criteria

        Placement assessment

        6. Study material

        Required reading

        Course Guide Initiation Module (Wegwijzer Instapstage).
        Reference documents, handbooks, curricula relative to the subject.

        Course materials provided by the mentor.



        Optional reading

        The following study material can be studied on a voluntary basis:



        7. Contact information
        for further questions, you can contact the teacher of the didactics course corresponding to the school subject chosen

        (+)last update: 01/05/2012 21:04 johan.deprez  

        Elective courses (6 ECTS), to choose from the list below

        Classroom management
        Course Code :6304OIWKLM
        Study domain:Instructional and educational
        Semester:Semester: 1st semester
        Contact hours:18
        Credits:3
        Study load (hours):84
        Contract restrictions: Exam contract not possible
        Language of instruction :Dutch
        Exam period:exam in the 1st semester
        Lecturer(s)Elke Struyf
        Gilberte Verbeeck

         


        1. Prerequisites

        At the start of this course the student should have acquired the following competences:
        An active knowlegde of :
        • Dutch
        A passive knowledge of :
        • English
        Specific prerequisites for this course:

        No specific requirements.



        2. Learning outcomes


        The teacher as monitor of learning and developmental processes:
        • creates a beneficial and powerful learning environment.

        The teacher as an organizer:
        • creates a clear working atmosphere;
        • plans and structures lessons adequately and flexibly;
        • takes care of administrative tasks in a correct way;
        • creates a stimulating classroom setting and a safe atmosphere.



        3. Course contents


        The following topics will be dealt with (check the study planner for more details)
        • looking at class management in a broader perspective, situating possible problems;
        • introduction to researchers and their work;
        • the class as an environment;
        • proactive class management skills;
        • basic principles of class management: control, tempo, motivating and being clear
        • promoting a favourable class climate;
        • the self-determination theory of Deci and Ryan (2002);
        • the model for Interpersonal behaviour.



        4. Teaching method

        Class contact teaching:
      • Lectures

      • Personal work:
      • Casussen: In group



      • 5. Assessment method and criteria

        Examination:
      • Written without oral presentation
      • Closed book
      • Open-question


      • 6. Study material

        Required reading



        Optional reading

        The following study material can be studied on a voluntary basis:



        7. Contact information

        (+)last update: 06/09/2012 15:08 gilberte.verbeeck  

        Education for the underpriveleged
        Course Code :6306OIWOAA
        Study domain:Instructional and educational
        Semester:Semester: 1st semester
        Contact hours:18
        Credits:3
        Study load (hours):84
        Contract restrictions: Exam contract not possible
        Language of instruction :Dutch
        Exam period:exam in the 1st semester
        Lecturer(s)Paul Mahieu
        Carlijne Ceulemans

         


        1. Prerequisites

        At the start of this course the student should have acquired the following competences:
        Specific prerequisites for this course:

        No specific competences are required.

        This course is Dutch spoken.




        2. Learning outcomes

        The students become aware of facts, causes, governmental initiatives and pedagogical consequences of the deprivation of pupils. Basic competences to detect and support disadvantaged pupils are attained.




        3. Course contents

        In this course students are confronted with the definition and explanation of the phenomenon of disadvantaged pupils in education. Specific attention goes to pupils living in poverty and pupils from foreign origin. Theoretical approaches, practical examples and guest lecturers help students to become aware of this theme and to get some tools which can help to remediate.

         




        4. Teaching method

        Class contact teaching:
      • Lectures
      • Practice sessions

      • Personal work:
      • Assignments:Individually



      • 5. Assessment method and criteria

        Continuous assessment:
      • Participation in classroom activities

      • Written assignment:
      • Without oral presentation


      • 6. Study material

        Required reading

        -       GROENEZ, Steven (2004). Gekregen maar niet verdiend. Ongelijkheid op school: omvang, oorzaken en gevolgen. In: Mahieu, P. (Red.). School en samenleving, 6, p. 53-75. Mechelen, Wolters Plantijn.

         

        -       KUSSE, Pat (2003). Omgaan met armoede in de school. In: BOONEN, R. (Red.). Bouwstenen voor intercultureel onderwijs, p. 213-220. Antwerpen, Garant.

         

        -       DE METS, Jan (2006). Allochtone ouders en de school. In: Mahieu, P. (Red.). School en samenleving, 11, p. 81-102. Mechelen, Wolters Plantijn.

         

        -       SALMI, Ali (1996). Voorwaarden voor een goede relatie. In: Lesgeven aan Fatima en Ahmed, p. 51-89. Leuven: ACCO.



        Optional reading

        The following study material can be studied on a voluntary basis:
        See blackboard.


        7. Contact information

        (+)last update: 05/07/2013 16:18 carlijne.ceulemans  

        Language and learning
        Course Code :6300OIWTEL
        Study domain:Instructional and educational
        Semester:Semester: 1st semester
        Contact hours:18
        Credits:3
        Study load (hours):84
        Contract restrictions: Exam contract not possible
        Language of instruction :Dutch
        Exam period:exam in the 1st semester
        Lecturer(s)Rita Rymenans
        Jan T'Sas

         


        1. Prerequisites

        At the start of this course the student should have acquired the following competences:
        An active knowlegde of :
        • Dutch
        Specific prerequisites for this course:

        The student must have:
        - the final competences of an academic master;
        - an outstanding domain-specific knowledge;
        - an adequate language proficiency of Dutch.

        This course is only open for students that have followed the course Introduction to didactics (6101OIWIDI).

        A numerus clausus is fixed on 30 students.




        2. Learning outcomes

        The final competences of this course are in line with the basic competences of a secondary school teacher as stated by the Flemish Government (http://www.ond.vlaanderen.be/edulex/database/document/document.asp?docid=13952#245903). Especially the required language competences, defined by the Nederlandse Taalunie(http://taalunieversum.org/onderwijs/publicaties/taalcompetenties) are studied in this course.
        Following objectives will be pursued in particular:

        1. to have a profound knowledge of
          • the link between language delay and learning difficulties;
          • the objectives of the Flemish government regarding the language policy schools must develop;
          • language oriented instruction;
          • the required language competences for a teacher in secondary education;
        2. to plan and to teach a language oriented domainspecific lesson;
        3. to be able
          • to evaluate a given domainspecific lesson from a language oriented point of view;
          • to enriche an existing domainspecific lesson with language oriented learning activities; 
          • to select a domain-specific schoolbook from a language oriented point of view.

         


        3. Course contents

        1. Language oriented education

        2. Oral questions and instructions

        3. Written questions and instructions

        4. Assessing the usability of text material, making texts more accessible for learning

        5. Assessment and feedback

        6. Explorative talk and language policy




        4. Teaching method

        Class contact teaching:
      • Practice sessions
      • Tutorials

      • Personal work:
      • Assignments:Individually
      • Assignments:In group



      • 5. Assessment method and criteria

        Continuous assessment:
      • Exercises
      • Assignments
      • Participation in classroom activities

      • Written assignment:
      • Without oral presentation


      • 6. Study material

        Required reading

        Rymenans, R. & T'Sas, J.: Vademecum Taal en leren 2012-2013. 

        Paus, H., Rymenans, R. & Van Gorp, K. (2003). Dertien doelen in een dozijn. Een referentiekader voor taalcompetenties van leraren in Nederland en Vlaanderen. Den Haag: Nederlandse Taalunie. Can be downloaded from http://taalunieversum.org/onderwijs/publicaties/taalcompetenties

        Other study materials are handed out during the tutorials.



        Optional reading

        The following study material can be studied on a voluntary basis:

        Hajer, M. & Meestringa, T. (1995). Schooltaal als struikelblok. Bussum: Coutinho.

        Hajer, M. & Meestringa, T. (2009). Handboek Taalgericht Vakonderwijs. Bussum: Coutinho (2de herziene druk).

        Berends, R. (2007). De leraar taalvaardig. 13 praktische taaldoelen voor studenten aan de pabo. Assen: Koninklijke Van Gorcum.


         




        7. Contact information

        (+)last update: 15/05/2012 14:50 rita.rymenans  

        Educational technology
        Course Code :6314OIWONT
        Study domain:Instructional and educational
        Semester:Semester: 1st semester
        Contact hours:18
        Credits:3
        Study load (hours):84
        Contract restrictions: Exam contract not possible
        Language of instruction :Dutch
        Exam period:exam in the 1st semester
        Lecturer(s)Jozef Colpaert
        Margret Oberhofer

         


        1. Prerequisites

        At the start of this course the student should have acquired the following competences:
        An active knowlegde of :
        • Dutch
        A passive knowledge of :
        • English
        • General knowledge of the use of a PC and the Internet

        2. Learning outcomes




        3. Course contents




        4. Teaching method

        Class contact teaching:
      • Lectures
      • Tutorials

      • Personal work:
      • Assignments:Individually
      • Assignments:In group



      • 5. Assessment method and criteria

        Examination:
      • Practical examination

      • Continuous assessment:
      • Exercises
      • Assignments

      • Written assignment:
      • With oral presentation

      • Presentation

        6. Study material

        Required reading



        Optional reading

        The following study material can be studied on a voluntary basis:



        7. Contact information

        (+)last update: 02/10/2012 11:29 jozef.colpaert