CAPS - DATASTUDIES 5002
Foundations of Mathematics for Data Analytics & Applications
This course introduces the fundamental concepts, theorems, and tools used in data science and machine learning, including probability, optimization and calculus, linear algebra, discrete mathematics, and statistics. Applications of the theory to data science and machine learning will be developed with mathematical concepts being applied in Python.
Prerequisites & course information
Credit 3 units. Typical periods offered: Summer 3, Spring, Fall, Summer
Sources
- Course catalogue โ2026โ2027