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AIM110: Introduction to Machine Learning
– 3 credits
Introduction to machine learning concepts and Python applications, including data acquisition, supervised and unsupervised learning, and data modeling. Prerequisites: A grade of C or better in AIM100, CIS156, and MAT206.
Class#
Location
Delivery
Dates
Days
Times
Instructors
Availability
18948
Chandler-Gilbert: Williams Campus
Williams Cooper Hall Rm 111
In Person
08/26 –
12/19
Fall 2025
Tu,Th
3:00PM – 4:40PM
- N. Dodd
Open
14 of 22 Seats Available
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Notes
- Notes: Meets at the Williams Campus
Open Educational Resources (OER) are learning, teaching, and research materials in any format and medium that reside in the public domain or have an open license copyright that permits no-cost access, re-use, re-purpose, retention, redistribution, and adaptation by others.
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Textbook info pending
AIM110: Introduction to Machine Learning – 3 credits
Introduction to machine learning concepts and Python applications, including data acquisition, supervised and unsupervised learning, and data modeling. Prerequisites: A grade of C or better in AIM100, CIS156, and MAT206.
| Class# | Location | Delivery | Dates | Days | Times | Instructors | Availability |
|---|---|---|---|---|---|---|---|
|
18948
|
Chandler-Gilbert: Williams Campus
Williams Cooper Hall Rm 111 |
In Person
|
08/26 –
12/19
Fall 2025 |
Tu,Th
|
3:00PM – 4:40PM
|
|
Open
14 of 22 Seats Available |
|
|||||||