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Welcome

Welcome. Course Problem Solving with Constraints, CSCE 496/896 Instructor Berthe Y. Choueiry (Shu-we-ri), choueiry@cse.unl.edu , OH: Mon/Wed 8:00—9:15 @ Burnett 120 Volunteer GTA’s Shant Karakashian: TBA Robert Woodward: TBA Attendance sheet Please check your name. Pre-requisites .

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Welcome

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  1. Welcome • Course • Problem Solving with Constraints, CSCE 496/896 • Instructor • Berthe Y. Choueiry (Shu-we-ri), choueiry@cse.unl.edu, • OH: Mon/Wed 8:00—9:15 @ Burnett 120 • Volunteer GTA’s • Shant Karakashian: TBA • Robert Woodward: TBA • Attendance sheet • Please check your name Course Administration

  2. Pre-requisites • Pre-requisites • Contact instructor • Track • Undergrads • CS: Foundations, AI • CE: Applications • Grad CS students: Theory track • 3 credit-hours • Research intensive • Students: Committed, motivated, collegial, independent Course Administration

  3. Meetings • Regular class • Burnett 120, Monday, Wednesday 8:00—9:15 am • Recitation • Scheduled as necessary • Discuss homework, take quizzes, discuss projects • Lectures will be given • By instructor • By visitors • TBD • Occasionally, presentations by students Course Administration

  4. Help • Office hours • Instructor: Monday, Wednesday: TBA • Q&A: Send your questions • Email to cse496cp@cse.unl.edu • Ask your questions during class, by email • Share: your ideas and good pointers with class • Send email to cse496-ml@cse.unl.edu • Message will be broadcast to the entire class (use sparingly!) • Good pointers will be listed on the web under “Your catch” Course Administration

  5. Expectations I • Mastery of pre-requisite's material • Effort outside classroom • 9 hours of work outside classroom, if you have pre-requisites • If you spend more time, let me know • Attendance • Sign-up sheet circulated for attendance • Attendance of lectures (& recitation) is mandatory • Absence: maximum 4 sessions (including recitation) • Prior notification (email) for absence is mandatory Course Administration

  6. Expectations 2 • Collaboration policy • Do discuss everything with others • But do it on your own • Always acknowledge sources & help received • Wiki page is set up for exchanging information • Prompt response to notifications • Sent to your email address at CSE (you must have one) • Posted on web: cse.unl.edu/~choueiry/F11-496-896/ • If you drop the class, let me know ASAP Course Administration

  7. Grading • Pretest: 2% • Quizzes: 28%, cannot not be made up • Assignments: 40% • Programming and pen+paper • Turned-in on due date, before lecture • Delay penality: 20% per day, starting first minute after deadline • You may use any programming language acceptable to GTA’s • Project: 30% • Individual (preferred) or in small teams (if really necessary) • ( mid-term)  ( final) • Feedback: • Glossaries and HWK will be graded • Grades will be posted on Blackboard • Need more feedback? Please, let us know how Course Administration

  8. Projects • A list of possible projects is forthcoming, will include • Implement the game of Clue • Implement and evaluate an algorithm • Model and solve a (simple) practical problem • Investigate an advanced theoretical concept • Conduct a critical literature survey (at least 3 papers), etc. • Alternatives • Propose your own project and discuss it with instructor • At the end of project, you must submit with handin: • Project report: <lastname>-report.ext • Slides: <lastname>-defense.ext • Code: <lastname>-code.tar Course Administration

  9. Improving your grades* • Do the glossaries: weekly & final (8% total) • Must be typewritten, alphabetically sorted • Goal: entice you to do required reading • Collect bonus points • 100% attendance • Find bugs in slides, in lectures • Fill the course evaluation @ end of course • Be vocal in class, solve “riddles”, etc. • Do extra work • Present a research paper (10% per presentation) • Write a critical summary of a research paper (5% per summary) • Write a chapter of a “textbook” (20% total) *Restrictions apply (deadlines, max number per student) Course Administration

  10. Important dates Regularly check schedule on the web (3 times/week) • Wed, Aug24 • Pretest over 235 material • Wed, Oct 19 • Project must be chosen, use handin • Wed, Nov 9 • Progress report on projects due, use handin • Wed, Nov 16 • First deadline for extra-credit work: 1 presentation, 2 summaries, 1 chapter write-up must be done by this date • Wed, Nov 30 • Final glossary due • Project reports due in print and using handin • Second deadline for extra-credit work: All paper presentations (Max 2), summaries (Max 4), chapter write-up (Max 2) must be done by this date Course Administration

  11. Important Dates (cont.) Regularly check schedule on the web (2, 3 times/week) • Mon/Wed, Nov 28/30 • Quizzes may be given during class or recitation • Fri, Nov 30 • Deadline for final glossary, in print and using handin • Project reports are due, in print and using handin • Mon/Wed, Dec 5/7 (dead week) & Wed Dec 14 • Project presentations • Some presentations could be scheduled in evenings if necessary • Wed, Dec 7 (midnight) • Projects code & defense slides (when applicable) due, use handin Course Administration

  12. Course material • Content of the course • Introduction: definition and practical examples • Foundations and basic mechanisms • Advanced solving techniques • Extensions to the problem definition • Alternative approaches to solving the problem • Course support • New textbook by Dechter (available at bookstore). Will not be followed linearly, but should be used for reference. • Book by Tsang (on reserve at LL, available on-line, out of print) • Constraint Networks, ebook by Lecoutre @ http://iris.unl.edu • Papers from: WWW, course web-page, library, electronic reserves, instructor, http://citeseer.ist.psu.edu/, etc. Course Administration

  13. More resources • Web • Check links: www.cse.unl.edu/~choueiry/F11-496-896 • Benchmark problems • Association for Constraint Programming • Conferences • CP, AIOR, IJCAI, ECAI, NCAI (AAAI), FLAIRS... • Workshops in parallel to conferences • Journals: • Constraints, AIJ, JACM, Annals of AI+Math, etc. Course Administration

  14. Your future: Jobs!! • Commercial companies: Ilog, i2 Technologies, Trilogy, PeopleSoft/Red Pepper, Carmen Systems (Sweden), etc. • Prestigious research centers: NASA Ames, Microsoft Research (Cambridget), PARC, JPL, SRI International, BT Labs (UK), Ilog (IBM?), etc. • Start your own: Selectica, Seibel, Parc Technologies Ltd, In Time Systems Inc, Blue Pumpkin, etc. • Academic: • Constraint languages • Modeling, constraint representation, reasoning & propagation mechanisms • Dedicated reasoning: diagnosis, planning & scheduling, design, configuration, Case-Based Reasoning, etc. Course Administration

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