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Course Information

Course Description

This is a first course in the design and analysis of algorithms. The main focus is on techniques for constructing correct and efficient algorithms, and on tools to reason about them. Design paradigms include greed, divide-and-conquer, dynamic programming, reduction to network flow, and the use of randomness. A second focus point is computational intractability. NP-complete problems are covered, as well as ways to deal with them. The course forms a foundation for all areas of computer science. The particular computational problems discussed have applications in artificial intelligence, computational biology, compiler construction, hardware and network protocols, and optimization.

Textbook

Jon Kleinberg and Eva Tardos, Algorithm Design, Addison-Wesley, 2005.

References

T. Cormen, C. Leiserson, R. Rivest, and C. Stein, Introduction to Algorithms, 2nd edition, 2001.
K. Rosen, Discrete Mathematics and its Applications, 4th edition, 2003.

Prerequisites

CS 240 (Discrete Mathematics), and CS 367 (Data Structures).

Exams

All exams are closed book and closed notes. However, you will be allowed to bring a "cheat-sheet".
• Midterm (20%). T 10/21 7:15 p.m. - 9:15 p.m.
• Final (30%). M 12/15 12:25 p.m. - 2:25 p.m.


Grading Policy


• Point distribution. The points distribution for final grades is as follows: homework (50% - 10x5; the lowest homework score will be dropped), midterm (20%), final (30%).
• Homeworks. There will be 6 homeworks, roughly every two weeks. Homework release dates and due dates are posted here. We will drop the lowest homework score from consideration when tallying each student's final score.
• Collaboration policy. Homework may be done and submitted in pairs. You may not consult any material other than your lecture notes and the course text or reference books. In particular, the use of materials (such as homework solutions) from previous versions of the course or from the Internet is considered plagiarism and will warrant strict action in accordance with university policy.
• Lateness policy. Each homework is due at the beginning of the lecture on the due date. No extensions will be given on the due date. However, we will drop each student's lowest homework score from consideration.
• Extra credit questions and discussion on Piazza. Several of the homeworks will contain extra credit questions. These questions have no points associated with them. However, we will keep a record of how many questions each student (or team) solves correctly. At the end of the semester, your performance on these questions may help your letter grade if your total score is close to the boundary between two grades. Your participation on the online discussion site Piazza may similarly help your letter grade.


Staff

Instructor:	Shuchi Chawla
Office:	CS 4373
Phone:	x0027
Email:	shuchi (AT) cs (DOT) wisc (DOT) edu
Lectures:	MWF 9:55 a.m. - 10:45 a.m. in Noland 168
Office hours:	W 11:00 a.m. - noon, R 2:00 p.m. - 3:00 p.m., and by appointment in CS 4373
Teaching Assistant:	Gautam Prakriya
Office:	CS1304
Email:	prakriya (AT) cs (DOT) wisc (DOT) edu
Review sessions:	MR 6:00 p.m. - 7:00 p.m. in CS 1221.
Office hours:	T 5:00 p.m. - 6:00 p.m. and F 2:30 p.m. - 3:30 p.m. in CS 1304.