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777 Glades Road, Boca Raton, FL 33431

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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 



CRN 15481 3 credits

Mathematics of Data Science

William E. Hahn, Ph.D.

Office: Wimberly Library, Room 103 (Sandbox)

Office hours: Tuesday 12:30 p.m. – 2:30 p.m.

Email: whahn@fau.edu


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  • Chaithanya Kumar Gali

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