CS 277
CS 277 - Algo & Data Stru for Data Sci
Spring 2025
| Title | Rubric | Section | CRN | Type | Hours | Times | Days | Location | Instructor |
|---|---|---|---|---|---|---|---|---|---|
| Algo & Data Stru for Data Sci | CS277 | AL1 | 74116 | PKG | 4 | 1400 - 1515 | F | 1320 Digital Computer Laboratory | Brad R Solomon |
| Algo & Data Stru for Data Sci | CS277 | AL1 | 74116 | PKG | 4 | 1400 - 1515 | M W | 1320 Digital Computer Laboratory | Brad R Solomon |
| Algo & Data Stru for Data Sci | CS277 | AL2 | 74357 | PKG | 4 | 1400 - 1515 | M W | 1320 Digital Computer Laboratory | Brad R Solomon |
| Algo & Data Stru for Data Sci | CS277 | AL2 | 74357 | PKG | 4 | 1400 - 1515 | F | 1320 Digital Computer Laboratory | Brad R Solomon |
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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 CS 277 if credit for CS 225 is earned. Prerequisite: STAT 207; one of MATH 220, MATH 221, MATH 234. CS 277 cannot be taken concurrently with CS 225.
Subject Area
- Theory / Math