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CSEP 521 Applied Algorithms Fall 2009 PowerPoint Presentation
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CSEP 521 Applied Algorithms Fall 2009

CSEP 521 Applied Algorithms Fall 2009

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CSEP 521 Applied Algorithms Fall 2009

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  1. CSEP 521Applied AlgorithmsFall 2009 Course Introduction

  2. Outline for the Evening • Course administration • Stable Marriage Problem • Algorithm Analysis Lecture 1 - Intro, Graph Algorithms

  3. Instructors • Instructor • Richard Ladner • ladner@cs.washington.edu • 206 543-9347 • TA • Shani Jayant • cjayant@cs.washington.edu • Office hours: Tuesday and Thursday 6:30-7:30 via Microsoft Messenger: shani.jayant@gmail.com Lecture 1 - Intro, Graph Algorithms

  4. October 26 • I am out of town the week of October 26 • Options • Monday, December 14th • Some other evening during the quarter Lecture 1 - Intro, Graph Algorithms

  5. Resources • CSEP 521 Course Web Page • http://www.cs.washington.edu/csep521 • Text Book • Algorithm Design by Kleinberg and Tardos • E-mail list • For information from instructors • Check web page to sign up • Message Board • For discussion Lecture 1 - Intro, Graph Algorithms

  6. Engagement by Students • Weekly Assignments from the text • Algorithm design and evaluation • In-class activities • Project with a written report • Evaluate several alternative approaches to algorithmically solve a problem • Must include readings from literature • May include an implementation study • May be done in small teams Lecture 1 - Intro, Graph Algorithms

  7. Project • The one page project proposal is due in class on Monday, November 2, 2009. • The final report is due Tuesday, December 8, 2009. Final reports must be uploaded to the Project Discussion Board by 11:30 pm, Tuesday, December 8, 2009. • All students are required to read and comment on at least 3 other reports by 11:30 pm, Wednesday December 16, 2009. All comments should be respectful and add some value to the particular project report that is being commented on. Lecture 1 - Intro, Graph Algorithms

  8. Final Exam and Grading • There will be no Final Exam • Percentages • Weekly Assignments 60% • Project 40% Lecture 1 - Intro, Graph Algorithms

  9. Some Topics • Graph Algorithms • Clustering Algorithms • Dynamic Programming • Linear Program (my notes) • Network Flow • Data Compression (my notes) • NP-Completeness and Intractability Lecture 1 - Intro, Graph Algorithms

  10. Reading • Chapters 1 and 2 Lecture 1 - Intro, Graph Algorithms