CS 277
CS 277 - Algo & Data Stru for Data Sci
Fall 2021
| Title | Rubric | Section | CRN | Type | Hours | Times | Days | Location | Instructor |
|---|---|---|---|---|---|---|---|---|---|
| Algo & Data Stru for Data Sci | CS277 | AL1 | 74767 | LEC | 4 | 1100 - 1215 | M W | 1320 Digital Computer Laboratory | Brad R Solomon |
| Algo & Data Stru for Data Sci | CS277 | ASA | 74768 | OD | 0 | 1000 - 1050 | F | ||
| Algo & Data Stru for Data Sci | CS277 | ASB | 74770 | OD | 0 | 1100 - 1150 | F |
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Official Description
Introduction to elementary concepts in algorithms and classical data structures with a focus on their applications in Data Science. Topics include algorithm analysis (ex: Big-O notation), elementary data structures (ex: lists, stacks, queues, trees, and graphs), basics of discrete algorithm design principles (ex: greedy, divide and conquer, dynamic programming), and discussion of discrete and continuous optimization. Course Information: Credit is not given for both CS 277 and CS 225. Prerequisite: STAT 207; one of MATH 220, MATH 221, MATH 234. CS 277 cannot be taken concurrently with CS 225.
Subject Area
- Theory / Math