Computer Science 226 |
Professor: Bernard Chazelle - 404 CS Building - 258-5380 chazelle@cs.princeton.edu
Undergraduate Coordinator: Tina McCoy - 410 CS Building - 258-1746 tmmccoy@cs.princeton.edu
Teaching Assistant: Lisa Worthington - 206 CS Building - 258-2211 lworthin@cs.princeton.edu
# | Time | Room | Preceptor |
1 | M 12:30 | CS 102 | Lisa Worthington |
2 | M 1:30 | Friend 202 | Lisa Worthington |
3 | M 3:00 | Friend 203 | Lisa Worthington |
Office Hours:
Lisa will have office hours in room CS 206 Monday evenings from 7:00 to 9:00 and by
appointment Tuesday and Thursday afternoons from 2:00 to 4:00.
Textbooks: The course textbooks are:
Prerequisites: Students in the course should have an understanding of the basic principles of computer science and computer architecture, significant programming experience with a working knowledge of C and Unix (or some similar programming environment) and familiarity with elementary data structures such as arrays, stacks, queues, and trees. Most students registered for the course have this background; those who do not may have to work harder at the beginning.
The course will cover algorithms from a variety of applications areas, and several mathematical topics will be discussed. The course is intended to be self-contained with respect to such topics, but students are likely to find any mathematical experience helpful.
Computers: You may develop your programs on any machine that you like: we encourage you to use your own equipment. However, your finished programs must run on any ANSI C89 compliant system. We provide instructions for setting up such a C programming environment on Windows, OS X, and arizona machines.