FI:PA163 Constraint programming - Course Information
PA163 Constraint programming
Faculty of InformaticsAutumn 2011
- 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)
RNDr. Dalibor Klusáček, Ph.D. (assistant) - Guaranteed by
- prof. RNDr. Luděk Matyska, CSc.
Department of Computer Systems and Communications – Faculty of Informatics - Timetable
- Wed 12:00–13:50 B410 and each even Thursday 12:00–13:50 A104
- Prerequisites
- For computer laboratories: recommended knowledge in backgrounds of propositional and predicate logic, e.g. based on the course IB101 Introduction to logic and logic programming.
- 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
- there are 27 fields of study the course is directly associated with, display
- 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.
- 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.
- 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.
- Teaching methods
- The course has a form of a lecture with a seminar taking two hours per two weeks at the computer laboratory. Lecture is mainly oriented on presentations of algorithms and their practical application for solving of problems in the area of constraint programming. Solved problems are often realized using modifications of existing code. Seminaries concern namely practical realization of CLP(FD) programs in SICStus Prolog. Seminaries include homeworks which solutions together with solutions of examples solved during seminaries are available at the course web site.
- Assessment methods
- Examination consists of the final written exam evaluated by 100 points and completion of a course requires 55 points at least (A: 100-90, B 89-80, C 79-70, D 69-60, E59-55). The exam also includes following types of questions: overview of some part, comparisons of methods or definitions, algorithms, definitions, examples (about 33% of the points corresponds to evaluation of the constraint model for given problem(s)). Taking of seminaries is obligatory. Absence at more than seminar requires successful completion of additional examples corresponding to the number of absent hours. High number of missed seminaries does not allow completion of the course.
- Language of instruction
- Czech
- Follow-Up Courses
- Further Comments
- Study Materials
The course is taught annually. - Teacher's information
- https://is.muni.cz/auth/el/1433/podzim2011/PA163/index.qwarp
- Enrolment Statistics (Autumn 2011, recent)
- Permalink: https://is.muni.cz/course/fi/autumn2011/PA163