Graduate Course Descriptions

The following directory lists the graduate courses which the University expects to offer, although the University in no way guarantees that all such courses will be offered in any given academic year, and reserves the right to alter the list if conditions warrant. Click on the links below for a list of courses in that subject area. You may then click “View Classes” to see scheduled classes for individual courses.

5050. Algorithms and Complexity

3.00 credits

Prerequisites: Open to grad students in CSE, others with consent. Recommended preparation: Discrete math; fluency in a high-level programming language; data structures, algorithms at the level of CSE 2050. Students cannot receive credit for both CSE 3500 and 5050.

Grading Basis: Graded

Design and analysis of efficient computer algorithms. Algorithm design techniques, including divide-and-conquer, depth-first search, and greedy approaches. Worst-case and average-case analysis. Models of computation. NP-complete problems.


Last Refreshed: 27-SEP-22 05.20.19.331028 AM
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Term Class Number Campus Instruction Mode Instructor Section Session Schedule Enrollment Location Credits Grading Basis Notes
Spring 2022 17511 Storrs Online Bansal, Mukul 001 Reg 12:00am‑12:00am
18/30 No Room Required - Online 3.00 Graded
Fall 2022 14263 Storrs Online Bansal, Mukul 001 Reg 12:00am‑12:00am
15/40 No Room Required - Online 3.00 Graded To view the syllabus visit this url;
Syllabus