Jun 08, 2026  
2021-2022 Undergraduate Academic Catalog 
    
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2021-2022 Undergraduate Academic Catalog [ARCHIVED CATALOG]

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CS 4962 - Machine Learning Tools

1 lecture hours 0 lab hours 1 credits
Course Description
This course serves as an introduction to machine learning tools commonly used to analyze data.  The course covers using a scientific computing library such as NumPy in a Jupyter Notebook as well as the fundamentals of other tools such as PyTorch and TensorFlow.   (prereq: CS 4961 )
Course Learning Outcomes
Upon successful completion of this course, the student will be able to:
  • Describe the basic functionality and capability of a scientific computing library such as NumPy and other machine learning tools such as PyTorch and TensorFlow 
  • Make small changes to change behavior of existing machine learning code
Prerequisites by Topic
  • Basic Python programming
  • Basic familiarity with Jupyter Notebooks  
Course Topics
  • Machine learning basics 
  • Example machine learning code in Jupyter Notebooks 
  • NumPy 
  • PyTorch 
  • Tensor Flow 
Coordinator
Dr. Jonathon Magaña


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