CS-5046: Computation for the Data Sciences
Description: Covers fundamentals of computer science and background in data sciences needed by graduate students without a computer science background. 5045: Programming language syntax and semantics for data science; abstraction and object-oriented programming; data structures; databases; visualization; ethics and data manipulation. 5046: Software engineering; data preprocessing; and machine learning. Pre: Graduate standing for 5045; 5045 for 5046.
Pathways: N/A
Course Hours: 3 credits
Corequisites: N/A
Crosslist: N/A
Repeatability: N/A
Sections Taught: 4
Average GPA: 3.84 (rounds to A-)
Strict A Rate (No A-) : 90.20%
Average Withdrawal Rate: 0.00%
| Liqing Zhang | 2023 | 92.5% | 3.3% | 0.0% | 0.0% | 4.2% | 0.0% | 3.78 | 3 |
| John E Wenskovitch | 2024 | 100.0% | 0.0% | 0.0% | 0.0% | 0.0% | 0.0% | 4.00 | 1 |