CSCI 383 - Advanced Algorithms

An advanced course on algorithms, going beyond the material covered in MATH/CSCI 382. Topics vary but frequently include linear programming, approximation algorithms, graph algorithms, randomized algorithms, computational geometry, and string algorithms.

Unit(s): 1
Group Distribution Requirement(s): Distribution Group III
Prerequisite(s): MATH 201 and either CSCI 382 or MATH 382
Instructional Method: Lecture-conference
Grading Mode: Letter grading (A-F)
Cross-listing(s): MATH 383
Group Distribution Learning Outcome(s):

Use and evaluate quantitative data or modeling, or use logical/mathematical reasoning to evaluate, test or prove statements.
Given a problem or question, formulate a hypothesis or conjecture, and design an experiment, collect data, or use mathematical reasoning to test or validate it.