The Steam Powered Turing Machine University of Washington Department of Computer Science & Engineering
 CSE 421: Introduction to Algorithms, Autumn 2012
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Homework Assignments
  Homework 1
  Homework 2
  Homework 3
  Homework 4
  Homework 5
  Homework 6
  Homework 7
  Homework 8
Reading Assignments
  Chapter 1
  Chapter 2
  Chapter 3
  Chapter 4, Sections 4.1-4.7
  Chapter 5, Section 13.5
  Algebraic Divide and Conquer
  Section 13.5
  Chapter 6
  Sections 7.1-7.3, 7.5, 7.6, 7.11
  Chapter 8
  Section 11.3
Lecture Notes
  Stable Matching
  Graph Traversal
  Greedy Algorithms
  Divide and Conquer
  Dynamic Programming
  P, NP, and NP-completeness
  Dealing with NP-completeness
  Backtracking for SAT solving
  Multiplicate Weights Update Method
  Course Calendar
  Grading Guidelines
  Midterm Topics
  Sample Midterm
  Sample Midterm Solutions
  Final Exam Topics
Useful Links
  SB Algorithm Repository
MWF 1:30-2:20    MGH 241

Office Hours Location Phone
Instructor: Paul Beame   beame@cs  
Mondays 2:20-3:00
Wednesdays 3:00-3:50
and by appointment
CSE 668 543-5114
TAs: Priya Rao Chagaleti cse421-staff@cs
Tuesdays 12:30-1:20
Thursdays 11:30-12:20
CSE 216
CSE 218
Dillon Eng cse421-staff@cs
Tuesdays 1:30-2:20
Thursdays 2:00-2:50
CSE 218
CSE 220

Grading: Homework 45-55%, midterm 15-20%, final 30-35%, give or take. Extra Credit.

Homework: There will be 8 roughly weekly homework assignments, due on Fridays early in the quarter. Please read the grading guidelines to help you understand what is expected on your homework.


  • Algorithm Design by Jon Kleinberg and Eva Tardos, Addison-Wesley, 2006.

    We will cover almost all of chapters 1-8 of the Kleinberg/Tardos text. In addition, I will borrow a small amount of material on divide and conquer algorithms from Introduction to Algorithms: A Creative Approach, by Udi Manber, Addison-Wesley 1989. I will hand out extra material for this.

Another handy reference is Steven Skiena's Stonybrook Algorithm Repository which is also listed in the Useful Links section on the left column of this page.

Midterm Exam: Friday, November 2 in class. This will be open book (hard copies only) and open notes. Topics for the midterm include material up to the end of dynamic programming. There will be a review session Thursday Nov 1 at 4:30, EEB 045. Old Sample Midterm Solutions to Sample Midterm

Final Exam: Monday, December 10, 2:30-4:20 p.m. This will be open book and open notes. Final Exam Topics There will be a review session on Sunday December 9, 4:00 pm in EEB 037. Old Final Exam Sample from Practice Final Solutions to Sample Practice Final

Suggestions or Comments? You can send comments to the instructor and TAs via the e-mail list "cse421-staff at cs"

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

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