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.
Offerings database access
Asset Publisher

Application Deadlines

  •  08 Jan 2024

    Spring Quarter applications due

  •  01 Apr 2024

    Summer Quarter applications due

  •  08 Jul 2024

    Fall Quarter applications due

Asset Publisher

Academic Calendar

  •  12 Dec 2023 – 14 Dec 2023

    Fall Quarter final examinations

  •  15 Dec 2023

    Fall Quarter graduation

  •  18 Dec 2023 – 05 Jan 2024

    Winter break

See NPS Academic Calendar for more dates.