Computer Science Minor
Course Requirements
Thirteen courses are required for the computer science minor. Some courses may be satisfied via exam credit. Though courses for the minor may be taken for a letter grade or Pass/No Pass, many of the courses may be required for a student's major which could require a letter grade (including all Baskin Engineering majors). Students should be aware of the letter grade policy for their chosen major before choosing Pass/No Pass
Lower-Division Courses
One of the following options:
| | Either these courses | |
| MATH 11A | Calculus with Applications | 5 |
| MATH 11B | Calculus with Applications | 5 |
| | or these courses | |
| MATH 19A | Calculus for Science, Engineering, and Mathematics | 5 |
| MATH 19B | Calculus for Science, Engineering, and Mathematics | 5 |
| | or these courses | |
| MATH 20A | Honors Calculus | 5 |
| MATH 20B | Honors Calculus | 5 |
Plus one of the following:
Plus all of the following
| CSE 20 | Beginning Programming in Python | 5 |
| CSE 12 | Computer Systems and Assembly Language and Lab | 7 |
| CSE 16 | Applied Discrete Mathematics | 5 |
| CSE 30 | Programming Abstractions: Python | 7 |
Students with no prior programming will take CSE 20 before CSE 30, and CSE 12. Students with a prior programming course, AP credit, or clearing the “Test-out” bar will start with CSE 30, and CSE 12.
Math placement is required for one or more of the foundational courses for this minor. For more information, please review the Math Placement website.
Plus one of the following
| CSE 13S | Computer Systems and C Programming | 7 |
| ECE 13 | Computer Systems and C Programming | 7 |
Upper-Division Courses
The following course
| CSE 101 | Introduction to Data Structures and Algorithms | 5 |
Plus two upper-division computer science and engineering courses from the following list
| CSE 101M | Mathematical Thinking for Computer Science | 5 |
| CSE 102 | Introduction to Analysis of Algorithms | 5 |
| CSE 103 | Computational Models | 5 |
| CSE 110A | Fundamentals of Compiler Design I | 5 |
| CSE 114A | Foundations of Programming Languages | 5 |
| CSE 115A | Introduction to Software Engineering | 5 |
| CSE 118 | Mobile Applications | 5 |
| CSE 120 | Computer Architecture | 5 |
| CSE 130 | Principles of Computer Systems Design | 5 |
| CSE 132 | Computer Security | 5 |
| CSE 134 | Embedded Operating Systems | 5 |
| CSE 138 | Distributed Systems | 5 |
| CSE 140 | Artificial Intelligence | 5 |
| CSE 142 | Machine Learning | 5 |
| CSE 143 | Introduction to Natural Language Processing | 5 |
| CSE 144 | Applied Machine Learning: Deep Learning | 5 |
| CSE 150 | Introduction to Computer Networks | 7 |
| CSE 160 | Introduction to Computer Graphics | 7 |
| CSE 180 | Database Systems I | 5 |
| CSE 183 | Web Applications | 5 |
| CSE 184 | Data Wrangling and Web Scraping | 5 |
| CSE 186 | Full Stack Web Development I | 5 |
Plus two additional upper-division courses
Two additional courses satisfying one of the following conditions. Lecture/lab combinations count as one course. If a lecture has a lab offered (required or optional), the lab must be passed to count for this requirement.
- Any 5-credit or more upper-division CSE course with a number between 100 and 189 or CSE 195.
- Any 5-credit or more CSE course with a number between 201 and 279. Approval for courses with numbers 290 and above may be requested by submitting a course substitution petition to the BE Undergraduate Advising Office. Courses with numbers 280-289 are not eligible. Undergraduate students require permission from the instructor to enroll in graduate courses.
- Any course from the following list
| AM 148 | GPU Programming for Scientific Computations | 5 |
| AM 160 | Introduction to Scientific Machine Learning | 5 |