Search Results
AIM100: Introduction to Artificial Intelligence
– 3 credits
Basic concepts and applications of artificial intelligence (AI), including AI project cycles. Focus on issues surrounding AI including ethics, bias, culture, regulations, and professional expectations. Prerequisites: None.
Class#
Location
Delivery
Dates
Days
Times
Instructors
Availability
13424
Chandler-Gilbert
CGCC Online
Online
1/20 – 3/13
Spring 2026
N/A
N/A
- E. Monroe
Closed
No seats available
-
Notes
Online Class
First Eight (8) Week Class
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.
-
Textbook info pending
13451
Chandler-Gilbert
CGCC Online
Online
3/23 – 5/15
Spring 2026
N/A
N/A
- H. Matar
Open
17 of 24 seats available
-
Notes
Online Class
Second Eight (8) Week Class
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.
-
Textbook info pending
13516
Chandler-Gilbert
CGCC Online
Online
1/20 – 3/13
Spring 2026
N/A
N/A
- H. Matar
Open
1 of 24 seats available
-
Notes
Online Class
First Eight (8) Week Class
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.
-
Textbook info pending
31085
Chandler-Gilbert
CGCC Online
Online
3/23 – 5/15
Spring 2026
N/A
N/A
- H. Matar
Open
20 of 22 seats available
-
Notes
Second Eight (8) Week Class
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.
Online Class
-
Textbook info pending
AIM111: Introduction to Data Science
– 3 credits
Introduction to the basics of data science, including data handling, problem framing in a data-centric context, the foundational techniques of exploratory data analysis (EDA), data visualization, and data ethics. Students will gain practical experience in using various data science libraries and tools through hands-on exercises and projects. Prerequisites: A grade of C or better in (CSC101 and AIM100) or permission of Program Director.
Class#
Location
Delivery
Dates
Days
Times
Instructors
Availability
31086
Chandler-Gilbert: Williams Campus
Williams Cooper Hall Rm 111
Hybrid In-Person
1/21 – 5/15
Spring 2026
M,W
3:30PM – 4:45PM
- H. Matar
Open
1 of 22 seats available
-
Notes
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.
This course will be taught with multiple attendance options.
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.
Hybrid classes combine a reduced amount of scheduled classroom time with required out-of-class learning activities, typically conducted online.
Meets at the Williams Campus
-
Textbook info pending
31153
Chandler-Gilbert: Williams Campus
Williams Cooper Hall Rm 111
Hybrid In-Person
1/20 – 5/15
Spring 2026
Tu,Th
3:30PM – 4:45PM
- N. Dodd
Open
18 of 22 seats available
-
Notes
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.
This course will be taught with multiple attendance options.
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.
Hybrid classes combine a reduced amount of scheduled classroom time with required out-of-class learning activities, typically conducted online.
Meets at the Williams Campus
-
Textbook info pending
AIM210: Natural Language Processing
– 3 credits
Fundamental concepts in Natural Language Processing (NLP) and text processing. Focus on knowledge and skills necessary to create a language recognition application. Prerequisites: A grade of C or better in AIM110.
Class#
Location
Delivery
Dates
Days
Times
Instructors
Availability
13453
Chandler-Gilbert: Williams Campus
Williams Cooper Hall Rm 111
Hybrid In-Person
1/20 – 5/15
Spring 2026
M
5:00PM – 6:40PM
- N. Dodd
Open
18 of 22 seats available
-
Notes
Meets at the Williams Campus
Hybrid classes combine a reduced amount of scheduled classroom time with required out-of-class learning activities, typically conducted online.
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.
Students are expected to complete work online before the first in-person class meeting.
-
Textbook info pending
AIM220: Artificial Intelligence for Computer Vision
– 3 credits
Understand and apply the basic techniques to process images using OpenCV and Python libraries. Prerequisites: A grade of C or better in AIM110.
Class#
Location
Delivery
Dates
Days
Times
Instructors
Availability
13452
Chandler-Gilbert: Williams Campus
Williams Cooper Hall Rm 111
Hybrid In-Person
1/21 – 5/15
Spring 2026
W
5:00PM – 6:40PM
- H. Matar
Open
18 of 22 seats available
-
Notes
Meets at the Williams Campus
Hybrid classes combine a reduced amount of scheduled classroom time with required out-of-class learning activities, typically conducted online.
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.
-
Textbook info pending
AIM230: Artificial Intelligence for Business Solutions
– 3 credits
Fundamentals of artificial intelligence (AI) and machine learning to support business solutions. Prerequisites: A grade of C or better in AIM210 and AIM220.
Class#
Location
Delivery
Dates
Days
Times
Instructors
Availability
13454
Chandler-Gilbert: Williams Campus
Williams Cooper Hall Rm 111
Hybrid In-Person
1/20 – 5/15
Spring 2026
Tu
5:00PM – 6:40PM
- N. Dodd
Open
18 of 22 seats available
-
Notes
Meets at the Williams Campus
Hybrid classes combine a reduced amount of scheduled classroom time with required out-of-class learning activities, typically conducted online.
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.
-
Textbook info pending
AIM240: Artificial Intelligence Capstone Project
– 3 credits
Focus on how a social issue is explored, brought through the Artificial Intelligence (AI) Project cycle, and delivered as a solution using the different domains of AI, including computer vision and natural language processing. Prerequisites: A grade of C or better in AIM210 and AIM220.
Class#
Location
Delivery
Dates
Days
Times
Instructors
Availability
13455
Chandler-Gilbert
CGCC Online
Online
1/20 – 5/15
Spring 2026
N/A
N/A
- N. Dodd
Open
23 of 28 seats available
-
Notes
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.
-
Textbook info pending
AIM100: Introduction to Artificial Intelligence – 3 credits
Basic concepts and applications of artificial intelligence (AI), including AI project cycles. Focus on issues surrounding AI including ethics, bias, culture, regulations, and professional expectations. Prerequisites: None.
| Class# | Location | Delivery | Dates | Days | Times | Instructors | Availability |
|---|---|---|---|---|---|---|---|
|
13424
|
Chandler-Gilbert
CGCC Online |
Online
|
1/20 – 3/13
Spring 2026 |
N/A
|
N/A
|
|
Closed
No seats available |
|
|||||||
|
13451
|
Chandler-Gilbert
CGCC Online |
Online
|
3/23 – 5/15
Spring 2026 |
N/A
|
N/A
|
|
Open
17 of 24 seats available |
|
|||||||
|
13516
|
Chandler-Gilbert
CGCC Online |
Online
|
1/20 – 3/13
Spring 2026 |
N/A
|
N/A
|
|
Open
1 of 24 seats available |
|
|||||||
|
31085
|
Chandler-Gilbert
CGCC Online |
Online
|
3/23 – 5/15
Spring 2026 |
N/A
|
N/A
|
|
Open
20 of 22 seats available |
|
|||||||
AIM111: Introduction to Data Science – 3 credits
Introduction to the basics of data science, including data handling, problem framing in a data-centric context, the foundational techniques of exploratory data analysis (EDA), data visualization, and data ethics. Students will gain practical experience in using various data science libraries and tools through hands-on exercises and projects. Prerequisites: A grade of C or better in (CSC101 and AIM100) or permission of Program Director.
| Class# | Location | Delivery | Dates | Days | Times | Instructors | Availability |
|---|---|---|---|---|---|---|---|
|
31086
|
Chandler-Gilbert: Williams Campus
Williams Cooper Hall Rm 111 |
Hybrid In-Person
|
1/21 – 5/15
Spring 2026 |
M,W
|
3:30PM – 4:45PM
|
|
Open
1 of 22 seats available |
|
|||||||
|
31153
|
Chandler-Gilbert: Williams Campus
Williams Cooper Hall Rm 111 |
Hybrid In-Person
|
1/20 – 5/15
Spring 2026 |
Tu,Th
|
3:30PM – 4:45PM
|
|
Open
18 of 22 seats available |
|
|||||||
AIM210: Natural Language Processing – 3 credits
Fundamental concepts in Natural Language Processing (NLP) and text processing. Focus on knowledge and skills necessary to create a language recognition application. Prerequisites: A grade of C or better in AIM110.
| Class# | Location | Delivery | Dates | Days | Times | Instructors | Availability |
|---|---|---|---|---|---|---|---|
|
13453
|
Chandler-Gilbert: Williams Campus
Williams Cooper Hall Rm 111 |
Hybrid In-Person
|
1/20 – 5/15
Spring 2026 |
M
|
5:00PM – 6:40PM
|
|
Open
18 of 22 seats available |
|
|||||||
AIM220: Artificial Intelligence for Computer Vision – 3 credits
Understand and apply the basic techniques to process images using OpenCV and Python libraries. Prerequisites: A grade of C or better in AIM110.
| Class# | Location | Delivery | Dates | Days | Times | Instructors | Availability |
|---|---|---|---|---|---|---|---|
|
13452
|
Chandler-Gilbert: Williams Campus
Williams Cooper Hall Rm 111 |
Hybrid In-Person
|
1/21 – 5/15
Spring 2026 |
W
|
5:00PM – 6:40PM
|
|
Open
18 of 22 seats available |
|
|||||||
AIM230: Artificial Intelligence for Business Solutions – 3 credits
Fundamentals of artificial intelligence (AI) and machine learning to support business solutions. Prerequisites: A grade of C or better in AIM210 and AIM220.
| Class# | Location | Delivery | Dates | Days | Times | Instructors | Availability |
|---|---|---|---|---|---|---|---|
|
13454
|
Chandler-Gilbert: Williams Campus
Williams Cooper Hall Rm 111 |
Hybrid In-Person
|
1/20 – 5/15
Spring 2026 |
Tu
|
5:00PM – 6:40PM
|
|
Open
18 of 22 seats available |
|
|||||||
AIM240: Artificial Intelligence Capstone Project – 3 credits
Focus on how a social issue is explored, brought through the Artificial Intelligence (AI) Project cycle, and delivered as a solution using the different domains of AI, including computer vision and natural language processing. Prerequisites: A grade of C or better in AIM210 and AIM220.
| Class# | Location | Delivery | Dates | Days | Times | Instructors | Availability |
|---|---|---|---|---|---|---|---|
|
13455
|
Chandler-Gilbert
CGCC Online |
Online
|
1/20 – 5/15
Spring 2026 |
N/A
|
N/A
|
|
Open
23 of 28 seats available |
|
|||||||