ECE 364
ECE 364 - Data Science and Engineering
Spring 2025
| Title | Rubric | Section | CRN | Type | Hours | Times | Days | Location | Instructor |
|---|---|---|---|---|---|---|---|---|---|
| Programming Methods for ML | ECE364 | CSP | 77448 | LEC | 3 | 1400 - 1515 | F | Nickvash Kani | |
| Programming Methods for ML | ECE364 | ML | 77256 | LEC | 3 | 1230 - 1350 | T R | 2017 Electrical & Computer Eng Bldg | Nickvash Kani |
| Data Science and Engineering | ECE364 | ZJ1 | 77436 | LCD | 3 | - | Nickvash Kani |
See full schedule from Course Explorer
Official Description
Focuses on auto-differentiation tools like PyTorch used with basic machine learning algorithms (linear regression, logistic regression, deep nets, k-means clustering), and extensions in custom methods to fit specific needs. Auto-differentiation tools are essential for data analysis and a solid understanding is increasingly important in many disciplines. In contrast to existing courses which focus on algorithmic and theoretical aspects of Machine Learning, the focus here is on implementation with auto-diff tools. Course Information: Prerequisite: MATH 257.