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Course details 2012-2013  
    
Artificial intelligence
Course Code :1002WETAIN
Study domain:Computer Science
Semester:Semester: 1st semester
Sequentiality:
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)Bart Goethals

 


1. Prerequisites

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

2. Learning outcomes

Understanding and being able to use the basic AI techniques and algorithms. 
Being able to recognize an AI problem. 



3. Course contents

Next to a general introduction and a wide overview of AI, we study problem solving techniques and search strategies:
  • uninformed search, 
  • heuristic search, 
  • adversarial search, 
  • constraint satisfaction problems



4. Teaching method

Class contact teaching:
  • Lectures

  • Personal work:
  • Assignments:Individually

  • Portfolio


    5. Assessment method and criteria

    Examination:
  • Written without oral presentation
  • Closed book

  • Continuous assessment:
  • Assignments


  • 6. Study material

    Required reading

    - Slides 
    - Russell, S., Norvig, P., Artificial Intelligence. A Modern Approach, Prentice Hall, Third Edition.



    Optional reading

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



    7. Contact information
    Docent: Bart Goethals (http://adrem.ua.ac.be/~goethals/)
    Assistant: Koen Smets (http://adrem.ua.ac.be/ksmets/)

    (+)last update: 15/01/2013 15:37 bart.goethals