Course info
Lectures
Homeworks
Staff Schedule
Piazza

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, divideandconquer, dynamic programming,
reduction to network flow, and the use of randomness. A second focus
point is computational intractability. NPcomplete 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, AddisonWesley, 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 "cheatsheet".
 Midterm (20%). R 10/25 7:15 p.m.  9:15 p.m.
 Final (30%). T 12/18 2:45 p.m.  4:45 p.m.
Grading Policy
 Point distribution. The points distribution for final
grades is as follows: homework (50%; the lowest homework score will be
dropped), midterm (20%), final (30%).
 Homeworks. There will be 6 biweekly homeworks (including
one or two programming assignments). Homework release dates
and due dates are to be posted here. We will drop
the lowest homework score from consideration when
tallying each student's final score.
 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 penandpaper 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 for
Section 1
Instructor:

Shuchi Chawla

Office:  CS 4373

Phone:  x0027

Email:  shuchi (AT) cs (DOT) wisc (DOT) edu

Lectures:  TR 9:30 p.m.  10:45 p.m. in CS 1221

Office hours:  M 2:00 p.m.  3:30 p.m., and T 11:00 a.m.  12:30 p.m. in CS 4373

Teaching Assistant:

Gautam Prakriya

Office:  CS 1351

Email:  prakriya (AT) cs (DOT) wisc (DOT) edu

Office hours:  W 12:45 p.m.  2:15 p.m., and F 9:30 a.m. 
11:00 a.m.

Teaching Assistant:

Xi Wu

Office:  CS 1301

Email:  xiwu (AT) cs (DOT) wisc (DOT) edu

Office hours:  M 4:00 p.m.  5:30 p.m., and W 10:00 a.m. 
11:30 a.m.

