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Introduction to Machine Learning (CSIT 260)

Credit Course

3 credits

$122 per credit

in-county, fees apply


Allows students to explore current trends and techniques related to machine learning (ML), blending theoretical concepts with applied projects in artificial intelligence. Topics include machine learning methodologies, classification algorithms, evolutionary computation, neural networks, deep learning, reasoning, modeling, and examination of emerging trends in the field. Course offered once a year (fall or spring).

Prerequisite(s): CSIT 210 and MATH 153 or permission of the Program Director.


Fall 2024 ( Sections)

  • Section Meeting Times:

    • Time:
      10:55 a.m. - 12:25 p.m.
      Days of Week:
      Location: Online
    • Time:
      Flexible Time
      Location: Online

    Section Information:

    • Format: Blended
    • 0 Available Seats
    • Dates: 08/26/2024 - 12/15/2024
    • Instructor: Nazli Mehrazar
    • Course ID: #94038

    Credit Hours: 3

    Billable Hours: 3