CS 3240 B (CRN: 12317)
Computer Science: Algorithm Design & Analysis
3 Credit Hours—Section is Full.
The course CS 3240 B is currently full.
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About CS 3240 B
Comprehensive study of algorithms including greedy algorithms, divide and conquer, dynamic programming, graph algorithms and network flow. Computational intractability. Approximation, local search and randomization. Credit not awarded for both CS 3240 and CS 5240. Prerequisite: CS 2240. Pre/co-requisites: Recommended: CS 2250; STAT 2430, or STAT 2510.
Notes
Prereqs enforced by the system: CS 2240; Recommended: CS 2250; STAT 2430, or STAT 2510; Co-located with CS 5240 B; Total combined enrollment: 45; Open to Degree and PACE students
Section Description
Understanding algorithm design methods such as greedy approach, divide and conquer, and dynamic programming; solving various algorithmic problems like graph traversal, network flow, path finding, etc.; proof of algorithm correctness and analysis of algorithm complexity; definition of complexity class NP and NP-completeness; algorithm design methods for hard problems, such as approximation and local search.
Section Expectation
Lecture course. 6 to 8 hours of work expected outside the classroom. Includes algorithm program coding (in Java) exercises. Required text: Algorithm Design by Kleinberg and Tardos (ISBN-10: 0321295358).
Evaluation
Weekly homework assignments, including 12 written assignments and five programming assignments.
Important Dates
Note: These dates may not be accurate for select courses during the Summer Session.
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Interest Form
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