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| INFO0049-1 | Knowledge representation
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| Duration : | 30h Th, 25h Pr, 50h Proj. |
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| Number of credits : |
| Master of science in computer science and engineering, research focus, 1st year | | 5 |
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| Master of science in computer science and engineering, research focus, 2nd year | | 5 |
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| Master in Computer science, Research Focus, 1st year | | 5 |
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| Master of science in computer science and engineering, professional focus in management, 1st year | | 5 |
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| Master in Computer Science, Professional Focus (Management), 1st year | | 5 |
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| Master in Computer science | | 6 |
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| Master in Linguistics, Research focus, 1st year | | 10 |
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| Master in Mathematical Sciences, professional focus in computer science, 2nd year | | 6 |
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| Lecturer : | Pascal Gribomont |
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Language(s) of instruction :
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| English language |
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Organisation and examination :
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| Teaching in the second semester |
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Course contents :
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| Classically a program is a piece of procedural knowledge. Allowing a more declarative style is often useful in artificial intelligence and other areas. First order logic is introduced here as a declarative programming technique. PROLOG is viewed as a partial but convenient implementation of the principles of logic programming. |
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Learning outcomes of the course :
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| Basic principles of logic programming.
Basic programming techniques in Prolog.
Elementary applications in artificial intelligence. |
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Prerequisites and co-requisites/ Recommended optional programme components :
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| INFO0051-1
and
INFO0054-1. |
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Planned learning activities and teaching methods :
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| Prolog programming - exercises |
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Mode of delivery (face-to-face ; distance-learning) :
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| 2nd quadrimester, Tuesday at 8:30 (B28, room 1.123).
Face-to-face. |
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Recommended or required readings :
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| Main text:
P. Gochet et P. Gribomont,
Logique, volume 3: Méthodes pour l'intelligence artificielle (chapitres 10, 11 et 12),
Hermes, Paris, 2000.
Some complements will be handed out.
Also useful:
L. Sterling and E. Shapiro, The Art of Prolog,
MIT Press, 1994 (2nd ed).
I. Bratko, Prolog Programming for Artificial Intelligence,
Prentice Hall, 2000 (3rd ed). |
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Assessment methods and criteria :
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| Homeworks.
Oral examination. |
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Work placement(s) :
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Organizational remarks :
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| http://www.montefiore.ulg.ac.be/~gribomon/cours/cours.html |
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Contacts :
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| Pascal Gribomont
gribomont@montefiore.ulg.ac.be
Stéphane Lens
lens@montefiore.ulg.ac.be
Sruthi Moorthy
sruthimoorthy.krishnamoorthyparvathi@ulg.ac.be |
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