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Minors

Degree Descriptions

The Minor in Artificial Intelligence, Minor in Computer Science and Minor in Computer Informatics are suitable for majors in other disciplines that are interested in a substantive computational foundation.

GPA Requirement

All classes counting toward the degree must be taken for a letter grade. Students must meet the minimum GPA requirement of 2.0 to graduate with any major or minor from the department. Major/Minor GPA will be calculated using the better of the grades when a student repeats a course.

Download the CS Minors Guide

Minor in Artificial Intelligence

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RequirementCourse Name / Criteria
CS 110Computer Science Fundementals
CS 211Intro to Artificial Intelligence
CS 312Computing AI, Ethics, and Society
One (1) course chosen from:CS 323: Machine Learning Applications
QTM 347: Casual Inference & ML
CS 334: Machine Learning
One (1) course chosen from:CS/QTM/LING 329: Computational Linguistics
QTM 340: Data Science with Text
SOC 446: Big/Small Data & Visualization
Two (2) courses chosen from:Please click HERE for a list of possible electives

Minor in Computer Science

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RequirementCourse Name / Criteria
Math 111Calculus I
CS 170Introduction to Computer Science I
CS 171Introduction to Computer Science II
CS 224Foundations of Computer Science
CS 253Data Structures and Algorithms
CS 255Computer Architecture and Machine Level Programming
Three (3) courses chosen from:Any 300-level or 400-level CS classroom course

Minor in Computer Informatics

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RequirementCourse Name / Criteria
Math 111Calculus I
CS 170Introduction to Computer Science I
CS 171Introduction to Computer Science II
CS 224Foundations of Computer Science
CS 253Data Structures and Algorithms
One (1) course chosen from:CS 325: Artificial Intelligence
CS 329: Computational Linguistics
CS 334: Machine Learning
CS 377: Database Systems
Three (3) courses chosen from:Any 300-level or 400-level CS classroom course not taken above