Mathematics of Data Science

William E. Hahn, Ph.D.

Office: Wimberly Library, Room 103 (Sandbox)

Email: whahn@fau.edu

Course Objectives/Student Learning Outcomes

1. Understand the fundamentals of neural networks and deep learning algorithms 

2. Learn various methods used to construct, train, evaluate and deploy mathematical models 

3. Analyze different types of input data including image data  

4. Utilize Python libraries such as PyTorch for building data science notebooks

Course Number: MAP-2192

CRN: 14640

Credits: 3 credits