REASONING ABOUT ALGORITHMS
Writing algorithms is fun, but how are you sure that the algorithm you wrote is flawless? Are there computing tasks for which it is impossible to produce an efficient algorithm, or, for that matter, any algorithm? To answer these questions, you have to learn to perform mathematical reasoning about algorithmic problems and solutions COMP 382 is an introduction to such reasoning techniques. Topics covered would include elementary logic, analysis of the correctness and efficiency of algorithms, and formal computational models like finite automata and Turning machines. On the way, you are also going to learn some new algorithm design techniques.
Prerequisites & course information
Short Title: REASONING ABOUT ALGORITHMS Department: Computer Science Grade Mode: Standard Letter Course Type: Lecture/Laboratory Credit Hours: 4 Restrictions: Enrollment is limited to Undergraduate, Undergraduate Professional or Visiting Undergraduate level students. Course Level: Undergraduate Upper-Level Prerequisite(s): COMP 182 and COMP 215 and ( ELEC 303 or STAT 310 or ECON 307 or STAT 311 or STAT 312 or STAT 315 or DSCI 301 )
Sources
- Course catalogue ↗2026–2027