Course Information

Banner

Back To Program Homepage

Overview of Course Information 

  • The following courses comprise the Artificial Intelligence (AI) minor. 

Course Descriptions

Applications Track - 15 credits

(Not open to undergraduate students in the CEECS department.)

 Core Courses - 9 credits
COP 1034C - Computer Programming and Data Literacy
for Everyone
3 or 
COP 2034 - Introduction to Programming in Python 3
CAP 2603 - Applications of Artificial Intelligence 3
CAP 4612 - Applied Machine Learning and Data Mining 3
Elective Courses - 6 credits - Select two courses from the Electives Table

 

Development Track - 15 credits

Core Courses - 9 credits
COP 3410 - Data Structures and Algorithm Analysis
with Python
3 or 
COP 3530 - Data Structures and Algorithm Analysis 3
CAP 4630 - Introduction to Artificial Intelligence 3
One of the following three courses
CAP 4613 - Introduction to Deep Learning 3
CAP 4770 - Introduction to Data Mining and
Machine Learning
3
CAP 4773 - Introduction to Data Science and Analytics 3
Elective Courses - 6 credits - Select two courses from the Electives Table

 

Program Sheets

  • Additional details about program courses can be found in the following document:

Technology Tools Used

  • Interested in learning more about the tools/software/programs we use?
  • Check out our Course Tool List Document to view a list of all the tools/software/programs we use in our courses

Back To Program Homepage 

 

 

 

 

©