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Over the years, I have taught courses in electrical circuits, digital design, discrete math, embedded systems, random signals and systems, and control system design.
Over the years, I have taught courses in electrical circuits, digital design, discrete math, embedded systems, random signals and systems, and control system design.
Courses Taught
Courses Taught
ESE 118: Digital Logic Design
ESE 118: Digital Logic Design
Most semesters since Fall 2023
Most semesters since Fall 2023
This course introduces the basic building blocks that make microprocessors work. You will learn how to design and test digital circuits using hardware description languages and computer-aided design tools, and then bring those designs to life by building and testing them on breadboards.
ESE 122: Discrete Mathematics for Engineers
ESE 122: Discrete Mathematics for Engineers
Fall 2023
Fall 2023
This course introduces mathematical logic, methods of proof, combinatorics, and discrete structures. Its main goal is to develop the ability to think clearly, reason logically, and solve problems using mathematical tools.
ESE 123: Intro to Electrical and Computer Engineering
ESE 123: Intro to Electrical and Computer Engineering
Most semesters since Fall 2024
Most semesters since Fall 2024
Designed primarily for freshmen, this course introduces the fundamentals of electricity, signals, and circuits. In addition to lectures, it includes a hands-on lab that guides students through the complete circuit design process: schematic design, simulation, prototyping, board fabrication, component assembly, and final testing.
ESE 271: Electrical Circuit Analysis
ESE 271: Electrical Circuit Analysis
Most semesters, Fall 2023 - Spring 2025
Most semesters, Fall 2023 - Spring 2025
In this course, you'll learn how electrical circuits really work. Topics include Kirchhoff’s laws, nodal and mesh analysis, operational amplifiers, RLC circuits, how circuits respond over time, and how they behave with alternating current (AC). Because the course involves mathematical modeling and analysis, a solid background in calculus and linear algebra is helpful.
ESE 280: Embedded Microcontroller Systems Design I
ESE 280: Embedded Microcontroller Systems Design I
Spring 2026
Spring 2026
Through hands-on lab projects, you will design, implement, and test your own microcontroller systems. You'll explore how hardware and software work together and how to balance tradeoffs between the two when building real systems. The primary programming language used in the course is assembly language, which gives you a close-up view of how software directly controls hardware.
ESE 306: Random Signals and Systems
ESE 306: Random Signals and Systems
Once a year since 2024
Once a year since 2024
This course explores how engineers deal with randomness, uncertainty, and noise. You will learn the basics of probability, random variables, and random processes, and see how they are used to analyze unpredictable events and noisy signals. By the end of the course, you'll be able to model uncertainty mathematically and make informed decisions based on probabilistic reasoning.
ESE 315: Control System Design
ESE 315: Control System Design
Fall 2025
Fall 2025
You will learn how to model dynamic systems and understand how they behave over time and across different frequencies. Using tools such as root locus, Bode plots, and the Nyquist criterion, you'll explore how engineers analyze stability and performance. The course emphasizes classic controller design methods, such as PID control and lead-lag compensation, to help systems respond in a stable, reliable, and efficient way.
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