Design and Analysis of Algorithms
Tuesdays and Thursdays, 3:00 pm - 4:15 pm
Location: Krug Hall 242
Course webpage: http://www.cs.gmu.edu/~lifei/teaching/cs483_fall11
Instructor: Fei Li, Room 5326, Engineering Building, email: firstname.lastname@example.org
Office hours: Thursday 4:15pm - 6:15pm
In this course, a thorough examination of several well-known techniques that are used for the design and analysis of efficient algorithms will be covered. Topics to be covered include theoretical measures of algorithm complexity, greedy algorithms, divide and conquer techniques, dynamic programming, graph algorithms, search strategies, and an introduction to the theory of NP-completeness.
CS 310 and CS 330 Calculus (MATH 113, 114, 213) and MATH 125. Please contact with the instructor if you are not sure.
Algorithm Design by Jon Kleinberg and Éva Tardos, Addison Wesley (2005).
Columbus Day recess
|14||October 18||Review + solutions|
|28||December 8||Review + solutions||
|29||December 13: 1:30pm - 4:15pm||Final exam|
1. An understanding of classical problems in Computer Science
2. An understanding of classical algorithm design and analysis strategies
3. An ability to analyze the computability of a problem
4. Be able to design and analyze new algorithms to solve a computational problem
5. An ability to reason algorithmically
Weekly assignments (45%)
Midterm Exam (20%)
Final Exam (35%)
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