FI:PA163 Constraint programming - Course Information
PA163 Constraint programming
Faculty of InformaticsAutumn 2008
- Extent and Intensity
- 2/1. 3 credit(s) (plus extra credits for completion). Type of Completion: zk (examination).
- Teacher(s)
- doc. Mgr. Hana Rudová, Ph.D. (lecturer)
- Guaranteed by
- prof. RNDr. Václav Matyáš, M.Sc., Ph.D.
Department of Computer Systems and Communications – Faculty of Informatics - Timetable
- Mon 12:00–13:50 B410
- Timetable of Seminar Groups:
PA163/02: each odd Thursday 12:00–13:50 B116, H. Rudová - Course Enrolment Limitations
- The course is also offered to the students of the fields other than those the course is directly associated with.
- fields of study / plans the course is directly associated with
- Applied Informatics (programme FI, N-AP)
- Information Technology Security (programme FI, N-IN)
- Bioinformatics (programme FI, N-AP)
- Information Systems (programme FI, N-IN)
- Informatics (programme FI, D-IN)
- Informatics (programme FI, M-IN)
- Informatics (programme FI, N-IN)
- Parallel and Distributed Systems (programme FI, N-IN)
- Computer Graphics (programme FI, N-IN)
- Computer Networks and Communication (programme FI, N-IN)
- Computer Systems (programme FI, N-IN)
- Embedded Systems (eng.) (programme FI, N-IN)
- Theoretical Informatics (programme FI, N-IN)
- Upper Secondary School Teacher Training in Informatics (programme FI, M-SS)
- Upper Secondary School Teacher Training in Informatics (programme FI, M-TV)
- Upper Secondary School Teacher Training in Informatics (programme FI, N-SS) (2)
- Artificial Intelligence and Natural Language Processing (programme FI, N-IN)
- Image Processing (programme FI, N-AP)
- Course objectives
- The course studies the area of constraint satisfaction. Various general algorithms from the areas like artificial intelligence or optimization are also presented. Constraint propagation and search methods are represented by both classical and new algorithms. The basic techniques to the problem modeling are presented along with the application of constraints. Seminaries are devoted to the training of practical examples in constraint logic programming with computer (there are no prerequisites concerning logic programming).
- Syllabus
- Constraint satisfaction problem. Introduction to problem modelling. Constraint representation. Complexity.
- Algorithms and consistency: arc, path. Methods for non-binary constraints: k-konsistency, general arc and bounds consistency, global constraints. Directional versions, width of constraint graph and polynomial problems.
- Tree search: backtracking, look ahead, look back, incomplete algorithms. Local search.
- Optimization and over-constrained problems: frameworks and algorithms.
- Dynamic and distributed constraint satisfaction problems.
- Constraint logic programming.
- Problem modelling and real-life applications.
- Literature
- DECHTER, Rina. Constraint processing. San Francisco: Morgan Kaufmann Publishers, 2003, xx, 481 s. ISBN 1-55860-890-7. info
- Edward, Tsang. Foundations of constraint satisfaction. Academic Press Ltd., 1993.
- Assessment methods
- The course has a form of a lecture with a seminar taking two hours per two weeks at the computer laboratory. Examination consists of final written and oral exam. Written exam includes questions: overview of some part, comparisons of methods or definitions, algorithms, definitions, examples. Oral exam includes individual questions for each students together with the discussion over written exam. Resit dates are in the form of oral examination only.
- Language of instruction
- Czech
- Follow-Up Courses
- Further Comments
- Study Materials
The course is taught annually. - Teacher's information
- http://is.muni.cz/elearning/warp.pl?fakulta=1433;obdobi=4384;kod=PA163;qurl=/el/1433/podzim2008/PA163/index.qwarp
- Enrolment Statistics (Autumn 2008, recent)
- Permalink: https://is.muni.cz/course/fi/autumn2008/PA163