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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
32280
Chandler-Gilbert: Williams Campus
Williams Cooper Hall Rm 111
Hybrid In-Person
8/24 – 12/18
Fall 2026
M,W
5:00PM – 6:40PM
- H. Matar
Open
13 of 24 seats available
-
This course may require in-person testing; see note
-
Notes
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 will be taught with multiple attendance options.
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.
Meets at the Williams Campus
-
No books listed at the bookstore, contact instructor
32279
Chandler-Gilbert: Williams Campus
Williams Cooper Hall Rm 111
Hybrid In-Person
8/25 – 12/18
Fall 2026
Tu,Th
5:00PM – 6:40PM
- N. Dodd
Open
22 of 24 seats available
-
This course may require in-person testing; see note
-
Notes
Hybrid classes combine a reduced amount of scheduled classroom time with required out-of-class learning activities, typically conducted online.
This course will be taught with multiple attendance options.
Meets at the Williams Campus
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.
-
No books listed at the bookstore, contact instructor
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 |
|---|---|---|---|---|---|---|---|
|
32280
|
Chandler-Gilbert: Williams Campus
Williams Cooper Hall Rm 111 |
Hybrid In-Person
|
8/24 – 12/18
Fall 2026 |
M,W
|
5:00PM – 6:40PM
|
|
Open
13 of 24 seats available |
|
|||||||
|
32279
|
Chandler-Gilbert: Williams Campus
Williams Cooper Hall Rm 111 |
Hybrid In-Person
|
8/25 – 12/18
Fall 2026 |
Tu,Th
|
5:00PM – 6:40PM
|
|
Open
22 of 24 seats available |
|
|||||||