Artificial Intelligence (BS)
| Code | Title | Units |
|---|---|---|
| Major Requirements 1 | ||
| Computer Science Core: | ||
| COMPSCI 170 | INTRODUCTION TO PYTHON PROGRAMMING | 3 |
| or ITSCM 180 | INTRODUCTION TO PROGRAMMING FOR BUSINESS APPLICATIONS | |
| COMPSCI 218 | INTERMEDIATE PROGRAMMING IN PYTHON | 3 |
| COMPSCI 223 | DATA STRUCTURES | 3 |
| COMPSCI 364 | CLOUD SOFTWARE DEVELOPMENT | 3 |
| COMPSCI 366 | DATABASE MANAGEMENT SYSTEMS | 3 |
| COMPSCI 433 | THEORY OF ALGORITHMS | 3 |
| or COMPSCI 434 | THEORY OF COMPUTATION | |
| Artificial Intelligence Core: | ||
| COMPSCI 182 | GENERATIVE AI APPLICATIONS | 3 |
| COMPSCI 332 | INTRODUCTION TO ARTIFICIAL INTELLIGENCE | 3 |
| COMPSCI 432 | INTRODUCTION TO MACHINE LEARNING | 3 |
| COMPSCI 437 | NATURAL LANGUAGE PROCESSING AND LARGE LANGUAGE MODELING | 3 |
| COMPSCI 468 | INTRODUCTION TO DEEP LEARNING | 3 |
| COMPSCI 469 | MACHINE LEARNING OPERATIONS | 3 |
| PHILSPHY 303 | ETHICS OF ARTIFICIAL INTELLIGENCE | 3 |
| PSYCH 351 | COGNITIVE PSYCHOLOGY | 3 |
| or PSYCH 303 | LEARNING AND CONDITIONING | |
| Technical Electives: Select 6 units 2 | 6 | |
| DISTRIBUTED MACHINE LEARNING | ||
| MACHINE LEARNING FOR CYBERSECURITY | ||
| REINFORCEMENT LEARNING | ||
| INTERNSHIP IN COMPUTER SCIENCE 3 | ||
| IMAGE PROCESSING AND COMPUTER VISION | ||
| BIG DATA AND DATA MINING | ||
| TEXT MINING & GENERATIVE AI | ||
| Application Elective: Select 3 units | 3 | |
| INTERMEDIATE DATA SCIENCE | ||
or BIOLOGY 312 | INTERMEDIATE DATA SCIENCE | |
| BIOINFORMATICS | ||
or BIOLOGY 448 | BIOINFORMATICS | |
| SOFTWARE ENGINEERING | ||
| INTERNSHIP IN COMPUTER SCIENCE 3 | ||
| BIG DATA METHODS FOR BUSINESS | ||
| INTRODUCTION TO LANGUAGE STUDY | ||
or PWP 310 | THE GRAMMAR OF STANDARD WRITTEN ENGLISH | |
| DATA VISUALIZATION AND STORYTELLING IN BUSINESS | ||
| AGILE PROJECT MANAGEMENT | ||
| EXPERIMENTAL DESIGN AND ANALYSIS OF VARIANCE | ||
| Total Units | 51 | |
- 1
An approved minor is not required for this major. However, the MATH and STAT courses in this major's unique requirements may be used to complete a minor in Mathematics. Consult your advisor or the Department of Mathematics for more information.
- 2
Graduate courses (500+) may have additional requirements prior to enrollment by undergraduate students. See the Seniors Taking Graduate Courses Policy for further information.
- 3
Internship must be related to artificial intelligence or software development. Department approval is required.
| Code | Title | Units |
|---|---|---|
| Unique Requirements: | ||
| ENGLISH 370 | ADVANCED COMPOSITION | 3 |
| or PWP 332 | WRITING FOR THE WEB | |
| or PWP 372 | TECHNICAL AND PROFESSIONAL WRITING | |
| MATH 253 | CALCULUS AND ANALYTIC GEOMETRY I | 5 |
| MATH 254 | CALCULUS AND ANALYTIC GEOMETRY II | 4 |
| MATH 255 | CALCULUS AND ANALYTIC GEOMETRY III | 4 |
| MATH 280 | DISCRETE MATHEMATICS | 3 |
| or COMPSCI 215 | DISCRETE STRUCTURES | |
| MATH 355 | MATRICES AND LINEAR ALGEBRA | 3 |
| PSYCH 211 | INTRODUCTORY PSYCHOLOGY | 3 |
| STAT 342 | APPLIED STATISTICS | 3 |