CS331H: ALGORITHMS AND COMPLEXITY (Honors), Spring 2015
Dept of Computer Science, UT-Austin
COURSE DESCRIPTION
Time/Location/Unique number. TTh 3:30-5, GDC 1.304; Discussion Session F 10-11, GDC 1.304. Unique #51845.
Prerequisites. The following, with a grade of at least C- in each course: CS 311, 311H, 313H, or 313K; CS 307, 314, 314H, 315, or 315H; CS 310, 310H, 429, or 429H; M362K or SSC321; credit with a grade of at least C- or registration for M340L or SSC329C; and consent of the honors director.
Professor. Vijaya Ramachandran (vlr"at"cs, GDC 4.430, 471-9554)
Office Hours. Tuesdays and Thursdays 5-6 p.m.
Teaching Assistant. Eshan Chattopadhyay (eshanc"at"cs).
TA Office Hours. Mondays and Wednesdays 10:30 - 11:30 am. Location TBA.
Proctor. Kevin Yeh (kevinyeah.stuy"at"gmail.com).
Textbook. T.H. Cormen, C.E. Leiserson, R.L. Rivest, C. Stein, Introduction to Algorithms, Third Edition, MIT Press, 2009.
COURSE OUTLINE. This course will cover the basic aspects of the theory of algorithms, including divide-and-conquer, greedy, and dynamic programming, several graph algorithms, randomized algorithms, and approximation algorithms, together with an introduction to undecidability, and to NP-completeness. Here is a high-level course schedule.
COURSE SCHEDULE.
Introduction; divide and conquer; recurrences, summations |
2 weeks |
Greedy; minimum spanning tree; Dijkstra's SSSP |
2 weeks |
Dynamic programming; shortest paths in graphs |
2 weeks |
Basic graph algorithms; data structures |
1 week |
NP-completeness |
1 week |
Undecidability; halting problem |
1 week |
Approximation algorithms |
1 week |
Randomized algorithms; hashing |
2 weeks |
Maximum flow and maximum matching |
1 week |
This is a theory course and there is no programming content. This course carries the Quantitative Reasoning (QR) flag: establishing the correctness of algorithms and rigorous bounds on their running times, and deriving proofs of NP-completeness and undecidability are important components of this course.
Grading. The course grade will be based on the following course-work.
Course Grade. The course grade will be computed as follows:
Key Dates. (Please make a note of these dates -- there will be no make-up test or exam.)
Additional Information on Coursework.
Piazza and Canvas. All class-related course material and discussion will be on Piazza or Canvas, and students are encouraged to post comments and queries about class material on Piazza.
Please reserve your email messages to the instructor and TA for matters that concern only you. For queries relating to class material, please post to the discussion board so that everyone can benefit from the query and the responses.
Grading Queries. Any questions on grading should be brought to the attention of the TA or the instructor no later than a week after the graded material is returned to the class.
Students with Disabilities. Students with disabilities may request appropriate academic accommodations from the Division of Diversity and Community Engagement, Services for Students with Disabilities, 471-6259, http://www.utexas.edu/diversity/ddce/ssd
If you intend to notify me of such accommodations, please do so by February 4.
Accommodations for Religious Holidays. If you must miss a class or an examination in order to observe a religious holy day, you will be given an opportunity to complete the missed work within a reasonable time before or after the absence.
If you intend to make use of such accommodations, please let me know by February 4.
Statement on Scholastic Dishonesty. Anyone who violates the rules for the problem sets or who cheats in the mini-tests, tests or final exam is in danger of receiving an F for the course. Additional penalties may be levied by the Computer Science Department and the University.
The departmental code of conduct posted at http://www.cs.utexas.edu/undergraduate-program/code-conduct/ will apply unless superseded by the rules stated for this course in this course description.