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AIM250: Machine Learning I – 3 credits

Examination of statistical machine learning algorithms and Python applications with an introduction to deep learning. Emphasis on data input, algorithm selection, hyperparameter tuning, and model evaluation and selection. Prerequisites: A grade of C or better in [AIM111, (MAT230 or MAT231), MAT225, and MAT206] or permission of Program Director.

Class# Location Delivery Dates Days / Times Instructors Availability
30225
Chandler-Gilbert: Williams Campus
Williams Cooper Hall Rm 111
Hybrid In-Person
1/19 – 5/14
Spring 2027
Tue, Thu
5:00 – 6:40 PM
  • H. Matar
Open
18 of 24 seats available
  • This course may require in-person testing; see note
  • Hybrid classes combine a reduced amount of scheduled classroom time with required out-of-class learning activities, typically conducted online.
    Log into Canvas by the class start date at https://learn.maricopa.edu
    Students must have access to a computer (PC, Mac, laptop, Chromebook, or iPad) with a working webcam, microphone, as well as reliable internet access.
    This course may require one or more in-person proctored test(s) on date(s) listed in the syllabus. There may be an additional cost associated with taking the exam at a location other than the campus where the class is offered.
    This course will be taught with multiple attendance options.
    For each scheduled meeting of this class, students have the option of attending in the classroom or participating online, or a combination of both. Students can change their mode of participation weekly or by topic, according to need or preference. The online portion of this class requires the use of a computer or mobile device with internet access, a webcam, speakers, and a microphone.
  • Textbook info pending