Each semester we host one to two visitors. This semester's visitors
are still to be determined.
Check the list of previous visitors.
the page will be regularly updated. Check it out regularly for
announcements of required/recommended reading material, homework, etc.
Prereq: Instructor's permission
Constraint satisfaction has emerged as a powerful approach to
articulate and solve many problems in computer science, engineering,
and management. It is now the basis for new programming
languages and innovative commercial systems for production scheduling,
product configuration, personnel planning and timetabling, etc.
The goal of this course is to prepare students to conduct research in
this area. The course will be intensive and will require thorough
study of the theory and the algorithms, and a significant
implementation effort. Students are expected to be self motivated,
and demonstrate intellectual independence and collegial collaboration.
Lectures: Monday, Wednesday, Friday, 3:30 p.m. to 4:20 p.m.
Location: AvH 119.
Make-up Class/Recitation: Monday, from 4:30--5:20 p.m.
Location: AvH 110.
Instructor: Prof. Berthe Y. Choueiry
Office hours: Wednesday/Friday 4:30-5:30 p.m. or by appointment
Office location: Room 360, Avery Hall,
Mr. Robert Woodward
Office hours: Tuesday, 5:00-6:00
P.M., held in Avery Hall 13A (Student Resource Center)
or by appointment.
"Constraint Processing" by Rina Dechter,
1st edition. The textbook will not be followed
sequentially, but should be used for reference.
For a quick response, send your questions to Piazza. Your message will be read by the TA and the instructor and they will respond to you ASAP.
- Course WebPage: You can access all information
about the course from the course WebPage. Check the course schedule to
prepare for each class.
Grades are posted on Blackboard. Check them regularly and alert us
about grading errors within 7 calendar days.
- Piazza: For a quick response, send your questions to Piazza. Your
message will be read by the TA and the instructor and they will
respond to you ASAP.
- Webhandin: All homework, projects, reports, etc. must be submitted via the webhandin system of CSE.
- Wiki: You can upload the Excel file of the
results of your homework on the wiki and check the results of
others so that you can debug your code.
- Anonymous Suggestion Box: You may
also choose to drop us a note in the Anonymous Suggestion Box to express any
opinion about the course. (You can do it also via Piazza.)
Topics include but are not restricted to:
- Properties, computational complexity, and practical importance.
- Global and local consistency: algorithms, properties and
- Islands of tractability for minimality and global consistency.
- Intelligent backtracking.
- Look-ahead techniques.
- Ordering heuristics.
- Theoretical and empirical comparison of hybrid search
- Phase transition.
- Modeling and reduction methods between representations.
- If time permits: Decomposition. Symmetries and their
approximations. Temporal constraint networks. Stochastic search.
Reformulation and abstraction. Dynamic/conditional Constraint
Satisfaction (CSP). Constrained Optimization Problem (COP).
- Other, depending on class interests.
Last modified: Mon Aug 25 13:44:32 CDT 2014