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Event Detail

Mathematics of Data Science

Tuesday, December 5, 2023 3:30–4:50 PM
  • Location
    S. E. Wimberly Library, Gruber Sandbox (LY 103)
  • Description
    Mathematics of Data Science

    William E. Hahn, Ph.D.

    Office: Wimberly Library, Room 103 (Sandbox)


    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
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