Applied Machine Learning

Course #CS3332

Est.imated Completion Time: 3 months


Survey of machine-learning techniques of artificial intelligence with a particular focus on military applications.  Topics include types of machine learning, training and testing of machine learning, data preparation, decision trees, Bayesian reasoning, linear models, neural networks, case-based reasoning, and reinforcement learning.  Each method will be related to important military and government applications.  This course is intended for students who are not computer-science majors.

Included in degrees & certificates

  • 128
  • 367


  • CS3331

Learning Outcomes

  • Identify and distinguish the major methods of machine learning.
  • Be able to prepare data for effective use of machine-learning methods.
  • Be able to run machine-learning methods on a standard tool.
  • Be able to interpret output of machine-learning methods, and draw valid conclusions from it.
  • Understand the major terms used to describe machine learning.
  • Be able to use machine-learning tools.
  • Be able to draw conclusions from results of machine learning.
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Academic Calendar

  •  06 Jun 2023

    Spring quarter pre-graduation awards ceremony

  •  09 Jun 2023

    Spring quarter last day of classes

  •  13 Jun 2023

    Spring quarter final examinations begin