Computer Science Minor (CSM) Worksheet [PDF]

The department of Electrical Engineering offers a minor in Computer Science to all engineering students. Students seeking a minor in Computer Science must complete Data Structures & Algorithms I (ECE 264), Data Structures & Algorithms II (ECE 365), or a course selected from a list of alternative courses (see below), and 12 additional credits at the 300 or 400 level from a list of approved courses. At most six credits of 300 level courses that are required in the major can be applied toward the requirements for the Computer Science Minor. For students receiving both the Math Minor and the Computer Science Minor, at most three credits can be used to satisfy both minor requirements. Any 400 level courses used to fulfill the requirements for the Computer Science Minor cannot be used to fulfill the requirements for the Master of Engineering degree. The minimum cumulative GPA for the set of courses (including ECE 264) used to fulfill the requirements for the Computer Science Minor is 3.0.

Courses That Can Substitute for ECE 365, Data Structures & Algorithms II

All courses are 3 credits unless indicated otherwise.
ECE 462 Computer Graphics
ECE 464 Databases
ECE 465 Cloud Computing
ECE 467 Natural Language Processing
ECE 468 Computer Vision
ECE 469 Artificial Intelligence
ECE 472 Deep Learning
ECE 474 Frequentist Machine Learning
ECE 475 Bayesian Machine Learning

Computer Science Minor

All courses are 3 credits unless indicated otherwise.
ECE 303 Computer Networks
ECE 311 Hardware Design
ECE 323 Embedded Systems
ECE 357 Operating Systems
ECE 365 Data Structures & Algorithms II (2 credits)
ECE 366 Software Engineering
CS/ECE 371 Data Visualization
ECE 417 Custom Design of DSP Hardware
ECE 453 Advanced Computer Architecture
ECE 455 Cybersecurity
ECE 461 Theoretical Computer Science
ECE 462 Computer Graphics
ECE 464 Databases
ECE 465 Cloud Computing
ECE 466 Compilers
ECE 467 Natural Language Processing
ECE 468 Computer Vision
ECE 469 Artificial Intelligence
ECE 472 Deep Learning
ECE 474 Bayesian Machine Learning
ECE 475 Frequentist Machine Learning
ECE 476 Data Science for Social Good
ECE 478 Financial Signal Processing
ECE479 Big Data for Finance
CE 483 Building Information Modeling
ChE 352 Process Simulation
ChE 488 Convex Optimization
ME 353 Mechatronics
ME 371 Data Driven Problem Solving in Mechanical Engineering
ME 412 Autonomous Mobile Robots
ME 457 Drone Control
ME 458 Industrial Robots
MA 326 Linear Algebra
MA 336 Statistics
MA 352 Discrete Math
MA370 Selected Topics in Math: Graph Theory (Fall 2023 offering only)
MA 402 Numerical Analysis
At most 3 credits from among the following courses can be used for the computer science minor:
CE 422 Finite Element Methods
ME 407 Introduction to Computational Fluid Dynamics
ME 408 Introduction to Computer Aided Engineering
Courses with a “selected topics” or “research problem” designation can be considered, on a case by case basis, for the Computer Science minor. When such courses are not offered by the Electrical Engineering Department, the department that offers the course would be consulted in order to determine if they would qualify for the Computer Science minor.