This minor teaches the technical aspects of Artificial Intelligence, including machine learning, deep learning, computer vision, natural language processing, responsible and fair AI, and ethics of AI.

Related Programs

Curriculum

Course List

Code	Title	Hours
COMP 163	Discrete Structures	3
COMP 170	Introduction to Object-Oriented Programming	3
COMP 271	Data Structures I	3
COMP 317	Social, Legal, and Ethical Issues in Computing	3
COMP 329	Natural Language Processing	3
COMP 378	Artificial Intelligence	3
COMP 379	Machine Learning	3
COMP 387	Deep Learning	3
MATH 131	Applied Calculus I	3
Total Hours		27

Note: if this minor is declared by a CSEC-BS student (for example), this will be only 4 extra courses or 12 credit hours.

Suggested Sequence of Courses

Plan of Study Grid

Semester I		Hours
COMP 163	Discrete Structures	3
COMP 170	Introduction to Object-Oriented Programming	3
MATH 131	Applied Calculus I	3
	Hours	9
Semester II
COMP 271	Data Structures I	3
COMP 317	Social, Legal, and Ethical Issues in Computing	3
	Hours	6
Semester III
COMP 378	Artificial Intelligence	3
COMP 379	Machine Learning	3
	Hours	6
Semester IV
COMP 329	Natural Language Processing	3
COMP 387	Deep Learning	3
	Hours	6
	Total Hours	27

Undergraduate Policies and Procedures

Please see Undergraduate Policies and Procedures for academic policies that supersede those of academic units within the University.

Learning Outcomes

• Fundamental Understanding of AI Techniques
• Hands-on Experience with AI Tools and Frameworks
• Ethical and Social Implications of AI