Focus Areas

The following are focus areas for the Bachelor of Science in Electrical Engineering program.

Communications, Signal Processing, and Networking

Lead Course: EE 141 - Digital Signal Processing 
Technical Electives: 

  • EE 115 - Introduction to Communication Systems
  • EE 117 - Electromagnetics II
  • EE 118 - Radio Frequency Circuit Design
  • EE 128 - Data Acquisition, Instrumentation, and Process Control
  • EE 142 - Pattern Recognition and Analysis of Sensor Data
  • EE 146 - Computer Vision
  • EE 150 - Digital Communications
  • EE 152 - Image Processing
  • ENGR 160 - Introduction to Engineering Optimization Techniques

Control and Robotics

Lead Course: EE 132 - Automatic Control
Technical Electives: 

  • EE 128 - Data Acquisition, Instrumentation, and Process Control
  • EE 142 - Pattern Recognition and Analysis of Sensor Data
  • EE 144 - Introduction to Robotics
  • EE 145/ME 145 - Robotic Planning and Kinematics
  • EE 146 - Computer Vision
  • EE 151 - Introduction to Digital Control
  • EE 152 - Image Processing
  • ENGR 160 - Introduction to Engineering Optimization Techniques

Embedded Systems and VLSI 

Lead Course: EE 128 - Data Acquisition, Instrumentation, and Process Control
Technical Electives: 

  • EE 135 - Analog Integrated Circuit Layout and Design
  • EE 142 - Pattern Recognition and Analysis of Sensor Data
  • EE 147 - Graphics Processing Unit Computing and Programming 
  • EE 165 - EE 165 Design for Reliability of Integrated Circuits and Systems
  • CS 168/EE 168 - Introduction to Very Large Scale Integration (VLSI) Design
  • CS 161 - Design and Architecture of Computer Systems
  • ENGR 160 - Introduction to Engineering Optimization Techniques

Nanotechnology, Advanced Materials, and Devices

Lead Course: EE 133 - Solid-State Electronics  
Technical Electives: 

  • EE 117 - Electromagnetics II
  • EE 136 - Semiconductor Device Processing
  • EE 137 - Introduction to Semiconductor Optoelectronic Devices
  • EE 138 - Electrical Properties of Materials
  • EE 139 - Magnetic Materials
  • EE 162 - Introduction to Nanoelectronics

Power Systems and Smart Grid

Lead Course: EE 155 - Power System Analysis
Technical Electives: 

  • EE 117 - Electromagnetics II
  • EE 123 - Power Electronics
  • EE 128 - Data Acquisition, Instrumentation, and Process Control
  • EE 142 - Pattern Recognition and Analysis of Sensor Data
  • EE 153 - Electric Drives
  • ENGR 160 - Introduction to Engineering Optimization Techniques