Curriculum & Electives

The Department of Electrical & Systems Engineering offers courses across a broad range of topic areas. Concentration areas of study provide students with a critical level of expertise in a particular domain within ESE, preparing the student for a wide range of career opportunities. Furthermore, it allows them to pursue graduate studies in engineering and applied science research.

Suggested example courses within several areas are listed below. To ensure courses fulfill the requirements for your degree or program, consult the Bulletin.

For planning your degree, review the Curriculum Flowchart, which maps degree requirements for our BS degrees in Electrical Engineering and Systems Science and Engineering.

Devices and Circuits

Devices & Circuits

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Faculty in this area study nanoelectronics and emerging devices, sensors and sensing systems, and cyber-physical systems.

  • ESE 431: Introduction to Quantum Electronics
  • ESE 436: Semiconductor Devices
  • ESE 461:Design Automation for Integrated Circuit Systems
  • ESE 562: Analog Integrated Circuits
  • ESE/CSE 362: Computer Architecture
  • ESE/CSE 462: Computer Systems Design

Learn more

Optics and Photonics
  • ESE 429: Basic Principles of Quantum Optics and Quantum Information
  • ESE 438: Applied Optics
  • ESE 531: Nano and Micro Photonics
  • ESE 582: Fundamentals and Applications of Modern Optical Imaging
Quantum Engineering
  • ESE 429: Quantum Optics and Quantum Information
  • ESE 431: Introduction to Quantum Electronics
  • ESE 439: Introduction to Quantum Communications
  • ESE 532: Introduction to Nano-Photonic Devices
  • ESE 536: Introduction to Quantum Optics
Imaging/ Signal Processing
  • ESE 417: Introduction to Machine Learning and Pattern Recognition
  • ESE 471: Communications Theory and Systems
  • ESE 482: Digital Signal Processing
  • ESE 488: Signals and Communication Laboratory
  • ESE 520: Probability and Stochastic Processes
  • ESE 582: Fundamentals and Applications of Modern Optical Imaging
  • ESE 589: Biological Imaging Technology
Control, Cyber0physical Systems (CPS) and Internet of Things
  • ESE 444: Sensor and Actuators
  • ESE 446: Robotics: Dynamics and Control
  • ESE 471: Communications Theory and Systems
  • ESE 551: Linear Dynamic Systems I
  • Math 429: Linear Algebra
Dynamics and Data
  • ESE 415: Optimization
  • ESE 482: Digital Signal Processing
  • ESE 520: Probability and Stochastic Processes
  • Math 429: Linear
Optimization and Theory of Learning
  • ESE 404: Applied Operations Research
  • ESE 415: Optimization
  • ESE 417: Introduction to Machine Learning and Pattern Recognition
  • ESE 519: Convex Optimization
  • Math 429: Linear Algebra