Course Schedule and Catalog
Course Catalog - 2024-2025
ELEC 378 - MACHINE LEARNING CONCEPTS
Long Title: MACHINE LEARNING: CONCEPTS AND TECHNIQUES
Department: Electrical & Computer Eng.
Grade Mode: Standard Letter
Language of Instruction: Taught in English
Course Type: Lecture
Credit Hours: 3
Restrictions:
Must be enrolled in one of the following Level(s):
Undergraduate Professional
Visiting Undergraduate
Undergraduate
Prerequisite(s): MATH 355 OR MATH 354 OR CAAM 335 OR CMOR 302 OR CAAM 334 OR CMOR 303
Description: This course deals with machine learning, from its theoretical mathematical foundations to practical implementation in computer algorithms for data science applications. The course follows a deterministic rather than probabilistic approach to focus on the key concepts; linear algebra plays a starring role.