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  CSE 421Su '11:  Introduction to Algorithms
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Lecture Notes
 1:  Overview & Example
 2:  Analysis
 3:  Graphs, B/DFS
 4:  Greedy:
 5:  Divide & Conquer
 6:  Dyn. Prog.
   Seven Examples
   RNA Structure
 7:  Max Flow
 8:  P & NP

Lecture:  Tho 101 (schematic) MW 10:50- 12:20 
Office Hours Location Phone
Instructor:  Larry Ruzzo, ruzzocs  M 1:00- 2:00  CSE 554  206-543-6298
TA:  Kevin Zatloukal, kevinzcs  W 1:00- 2:00  CSE 306 

Course Email: Announcements and general interest Q&A about homework, lectures, etc. The instructor and TA are subscribed to this list. Enrolled students are as well, but probably should change their default subscription options. Messages are automatically archived. 

Discussion Board: Also feel free to use Catalyst GoPost to discuss homework, etc.

Catalog Description: Techniques for design of efficient algorithms. Methods for showing lower bounds on computational complexity. Particular algorithms for sorting, searching, set manipulation, arithmetic, graph problems, pattern matching.

Prerequisites: either CSE 312 or CSE 322; either CSE 326 or CSE 332.

Credits: 3

Grading: Homework, Final. Homework will be a mix of paper & pencil exercises and programing. Overall weights 60%, 40%, roughly.

Extra Credit: Assignments may include "extra credit" sections. These will enrich your understanding of the material, but at a low points per hour ratio. Do them for the glory, not the points, and don't start extra credit until the basics are complete.

Textbook: Algorithm Design by Jon Kleinberg and Eva Tardos. Addison Wesley, 2006. (Available from U Book Store, Amazon, etc.)

Portions of the CSE 421 Web may be reprinted or adapted for academic nonprofit purposes, providing the source is accurately quoted and duly credited. The CSE 421 Web: © 1993-2011, Department of Computer Science and Engineering, University of Washington.

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