• ECE 3660

    Microelectronic Circuits
     Rating

    4.40

     Difficulty

    3.00

     GPA

    3.51

    Last Taught

    Fall 2026

    Construction of electronic circuit design to specifications. Focuses on computer simulation, construction, and testing of designed circuits in the laboratory to verify predicted performance. Includes differential amplifiers, feedback amplifiers, multivibrators, and digital circuits. Three lecture and three laboratory hours. Prerequisite: ECE 2600 or ECE 2660

  • ECE 6380

    AI Hardware
     Rating

     Difficulty

     GPA

    3.53

    Last Taught

    Fall 2025

    This course explores the intricacies of AI hardware, including the current landscape and anticipating the necessary developments in response to AI's rapid growth and widespread integration across all computing tiers. Through this exploration, you will gain an understanding of both the existing technologies and the future challenges in AI hardware design and implementation.

  • ECE 6435

    Computer Architecture and Design
     Rating

     Difficulty

     GPA

    3.54

    Last Taught

    Spring 2026

    Integration of computer organization concepts such as data flow, instruction interpretation, memory systems, interfacing, and microprogramming with practical and systematic digital design methods such as behavioral versus structural descriptions, divide-and-conquer, hierarchical conceptual levels, trade-offs, iteration, and postponement of detail.  Design exercises are accomplished using a hardware description language and simulation.  Prerequisite by topic:  Digital Logic Design (ECE 2330 or equivalent), Introductory Computer Architecture (ECE 3330 or equivalent), Assembly Language Programming.

  • ECE 5241

    Optics and Lasers
     Rating

     Difficulty

     GPA

    3.55

    Last Taught

    Fall 2026

    Reviews the electromagnetic principles of optics; Maxwell's equations; reflection and transmission of electromagnetic fields at dielectric interfaces; Gaussian beams; interference and diffraction; laser theory with illustrations chosen from atomic, gas and semiconductor laser systems; detectors including photomultipliers and semiconductor-based detectors; and noise theory and noise sources in optical detection. Prerequisite: ECE 3103, 3209, 3750.

  • ECE 6163

    Solid State Devices
     Rating

     Difficulty

     GPA

    3.55

    Last Taught

    Fall 2024

    Introduces semiconductor device operation based on energy bands and carrier statistics. Describes operation of p-n junctions and metal-semiconductor junctions. Extends this knowledge to descriptions of bipolar and field effect transistors, and other microelectronic devices. Related courses: ECE 5150, 6155, and 6167. Prerequisite: ECE 3103 or equivalent, or solid state materials/physics course.

  • ECE 4907

    Electrical and Computer Engineering Research Projects
     Rating

    5.00

     Difficulty

    4.00

     GPA

    3.58

    Last Taught

    Fall 2026

    Under faculty supervision, students plan a project of at least one semester's duration, conduct the analysis or design and test, and report on the results. If this work is to be the basis for an undergraduate thesis, the course should be taken no later than the seventh semester. Prerequisite: Instructor permission.

  • ECE 6850

    Introduction to Control Systems
     Rating

     Difficulty

     GPA

    3.62

    Last Taught

    Fall 2026

    This course aims to provide an instruction to basic principles and tools for the analysis and design of control systems. It is intended for general graduate students in engineering and science. Topics to be covered include concepts, examples and designs of feedback, system modeling, linear and nonlinear dynamic behaviors, stability analysis, frequency domain analysis and design, transfer functions, PID control, and robustness of control systems.

  • ECE 6782

    Machine Learning in Image Analysis
     Rating

     Difficulty

     GPA

    3.62

    Last Taught

    Fall 2026

    This course focuses on an in-depth study of advanced topics and interests in image data analysis. Students will learn practical image techniques and gain mathematical fundamentals in machine learning needed to build their own models for effective problem solving. The graduate students (ECE/CS 6501) will be given additional programming tasks and more advanced theoretical questions.

  • ECE 2600

    Electronics
     Rating

    4.50

     Difficulty

    3.00

     GPA

    3.63

    Last Taught

    Fall 2026

    Studies the modeling, analysis, design, computer simulation, and measurement of electrical circuits which contain non-linear devices such as junction diodes and field effect transistors. Includes the gain and frequency response of linear amplifiers, power supplies, and other practical electronic circuits. This course is taught in a studio style with mixed lecture and lab. Pre or Corequisite: APMA 2130 and ECE 2700 AND Prerequisite: (ECE 2300 or ECE 2501 Topic Applied Circuits (link 15599)

  • ECE 6332

    VLSI Design
     Rating

    5.00

     Difficulty

    5.00

     GPA

    3.64

    Last Taught

    Spring 2026

    Digital CMOS circuit design and analysis: combinational circuits, sequential circuits, and memory. Second order circuit issues. Global design issues: clocking and interconnect. Use of Cadence CAD tools. Semester long team research project investigating new areas in circuit design. Prerequisites: ECE 2630, ECE 2330.