DAT 2025 - Introduction to Machine Learning

Credit(s): 3
Lecture Hour(s): 2
Vocational Lab Hour(s): 1.5
Provides the foundation for students to explore, practice, and apply mathematical concepts for pattern recognition, neural networks, and machine learning. The course covers algorithmic and mathematical methods which are required for machine learning techniques, as well as the theoretical relationships between these algorithms. Coding may be required as the course provides practice with translating the above mathematical concepts into computer programs.