— Mathematics of Data Science

Prerequisites & course information

Course Description: Mathematical methods and algorithms that are fundamental to a variety of data science applications. Theoretical foundations and inner workings of popular algorithms used in data science, machine learning, and artificial intelligence. Implementation and application of these algorithms to real-world data sets. Learning Activities: Lecture 3 hour(s), Extensive Problem Solving. Enrollment Restriction(s): Open to Graduate Students; undergraduate students obtain consent of instructor. Grade Mode: Letter. Learning Activities: Lecture 3 hour(s), Extensive Problem Solving. Enrollment Restriction(s): Open to Graduate Students; undergraduate students obtain consent of instructor. Grade Mode: Letter.