• ECE 4440

    Computer Engineering Capstone
     Rating

    4.50

     Difficulty

    4.00

     GPA

    3.68

    Last Taught

    Spring 2026

    Design, analysis and testing of an embedded computer system to meet specific needs, considering public health, safety and welfare as well as societal impacts. Tradeoff analysis and constraint satisfaction facilitated by the use of appropriate engineering analysis techniques. Semester-long team project develops physical prototype. Counts as major design experience for ECE students. Prerequisites (ECE 3430 or ECE 3502 ECR II) AND (ECE 3750 or ECE 2700) AND 4th year standing

  • ECE 6501

    Topics in Electrical and Computer Engineering
     Rating

     Difficulty

     GPA

    3.72

    Last Taught

    Spring 2026

    A first-level graduate course covering a topic not normally covered in the graduate course offerings. The topic will usually reflect new developments in the electrical and computer engineering field. Offering is based on student and faculty interests. Prerequisite: Instructor permission.

  • ECE 3502

    Special Topics in Electrical and Computer Engineering
     Rating

     Difficulty

     GPA

    3.76

    Last Taught

    Spring 2026

    A third-level undergraduate course covering a topic not normally covered in the course offerings. The topic usually reflects new developments in the electrical and computer engineering field. Offering is based on student and faculty interests.

  • ECE 4502

    Special Topics in Electrical and Computer Engineering
     Rating

     Difficulty

     GPA

    3.76

    Last Taught

    Spring 2026

    A fourth-level undergraduate course covering a topic not normally covered in the course offerings. The topic usually reflects new developments in the electrical and computer engineering field. Offering is based on student and faculty interests.

  • ECE 3430

    Introduction to Embedded Computer Systems
     Rating

    4.28

     Difficulty

    3.00

     GPA

    3.82

    Last Taught

    Spring 2026

    An embedded computer is designed to efficiently interact directly with its physical environment. This lab-based course explores architecture and interface issues relating to the design, evaluation and implementation of embedded systems . Topics include hardware and software organization, power management, digital and analog I/O devices, memory systems, timing and interrupts. Prerequisites: (ECE 2300 or ECE 2630) AND ECE 2330 AND CS 2130 all with a grade of a C- or better.

  • ECE 6502

    Special Topics in Electrical and Computer Engineering
     Rating

    5.00

     Difficulty

    2.00

     GPA

    3.83

    Last Taught

    Spring 2026

    A first-level graduate course covering a topic not normally covered in the graduate course offerings. The topic will usually reflect new developments in the electrical and computer engineering field. Offering is based on student and faculty interests. Prerequisite:  Instructor permission.

  • ECE 3251

    Electromagnetic Energy Conversion Lab
     Rating

     Difficulty

     GPA

    3.87

    Last Taught

    Spring 2026

    This lab provides practical exposure and continuation of the topics covered in the lecture sections of ECE 3250. Topics include principles of measurement and analysis using computerized instrumentation. Co-requisite ECE 3250

  • ECE 4991

    Electrical Engineering Capstone
     Rating

     Difficulty

     GPA

    3.90

    Last Taught

    Spring 2026

    Design, analysis and testing of an electrical system to meet specific needs, considering applicable standards, health, safety, welfare, and societal impacts as well as tradeoff and constraint considerations. Semester-long team project develops physical prototype (not simulation). Counts major design experience for students in ECE. Prerequisites (ECE 3430 or ECE 3502 ECR II) AND (ECE 3750 or ECE 2700) AND 4th year standing

  • ECE 2200

    Applied Physics
     Rating

    4.71

     Difficulty

    1.47

     GPA

    3.91

    Last Taught

    Spring 2026

    An applied physics course in electricity and magnetism, with emphasis on the technologies derived from them. An integrated lab component will provide team-based, hands-on examples and reviews of key concepts. Calculus 3 (Multivariable) may be taken concurrently; however, students should be proficient with vectors and calculus, including the chain rule and trigonometric functions. Co-requisite:  APMA 2120 or equivalent, and Prerequisite: PHYS 1425 and APMA 1110 or equivalent.

  • ECE 3780

    Foundations of Data Analysis
     Rating

     Difficulty

     GPA

    Last Taught

    Spring 2026

    This course is an introduction to the foundations behind modern data analysis and machine learning. The first part of the course covers selected topics from probability theory and linear algebra that are key components of modern data analysis. Next, we cover multivariate statistical techniques for dimensionality reduction, regression, and classification. Finally, we survey recent topics in machine learning. Prerequisite: CS 2130