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Electrical Engineering
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  4. Electrical Engineering
  5. PhD Minor

PhD Minor

PhD Minor
  • Electrical Engineering opens in a new tab
Program Minimum Units
20 Units
University Minimum Units
20 Units
Interests
Data and Information Sciences, Technology
Academic Areas
Engineering & Computer Science

Overview

A PhD minor is a program of study outside of the student’s major department (i.e., a student’s home department). A minor is not a requirement for any degree but is available when agreed on by the student and their home department and minor department.

The student’s home department determines the acceptance of the minor as part of the total PhD program.

For a minor in Electrical Engineering, the student must:

  • Have the application opens in a new tab for the PhD minor approved by the Electrical Engineering (EE) Department and major department.

  • Complete at least 20 units of Electrical Engineering (EE) lecture courses at the 200-level or above. If students want to use non-EE courses toward the EE PhD minor, these courses must be from the approved five depth course lists as outlined here and in the EE Graduate Handbook

    • 15 of the 20 units must be letter graded

    • Seminars do not count toward the 20 units

    • Independent study units do not count toward the 20 units

  • Maintain a grade point average of at least 3.35 in these courses.

Requirements

Program Requirements

Depth Area 1: Circuits

Complete any of the following course(s):
EE 207

Neuromorphics: Brains in Silicon

3 Units
EE 214A

Fundamentals of Analog Integrated Circuit Design

3-4 Units
EE 214B

Advanced Integrated Circuit Design

3 Units
EE 216

Principles and Models of Semiconductor Devices

3 Units
EE 233

Analog Communications Design Laboratory

3-4 Units
EE 251

High-Frequency Circuit Design Laboratory

3 Units
EE 253

Power Electronics

3-4 Units
EE 254

Advanced Topics in Power Electronics

3 Units
EE 256

Board Level Design

3-4 Units
EE 271

Introduction to VLSI Systems

3 Units
EE 272

Design Projects in VLSI Systems I

3-4 Units
EE 273

Digital Systems Engineering

3 Units
EE 303

Autonomous Implantable Systems

3 Units
EE 308

Advanced Circuit Techniques

3 Units
EE 309A

Semiconductor Memory Devices and Circuit Design

3 Units
EE 314A

RF Integrated Circuit Design

3 Units
EE 315

Analog-Digital Interface Circuits

3 Units
EE 356A

Resonant Converters

3 Units
EE 356B

Magnetics Design in Power Electronics

3 Units
EE 372D

Design Projects in VLSI Systems II

3-5 Units

Depth Area 2: Software and Hardware Systems

Complete any of the following course(s):
BMDS 270

Algorithmic Foundations for Artificial Intelligence in Healthcare

3-4 Units
CS 221

Artificial Intelligence: Principles and Techniques

3-4 Units
CS 228

Probabilistic Graphical Models: Principles and Techniques

3-4 Units
CS 229

Machine Learning

3-4 Units
CS 230

Deep Learning

3-4 Units
CS 231A

Computer Vision: From 3D Perception to 3D Reconstruction and Beyond

3-4 Units
CS 231N

Deep Learning for Computer Vision

3-4 Units
CS 236

Deep Generative Models

3 Units
CS 240

Advanced Topics in Operating Systems

3 Units
CS 243

Program Analysis and Optimizations

3-4 Units
CS 244

Advanced Topics in Networking

3-4 Units
CS 245

Principles of Data-Intensive Systems

3-4 Units
CS 246

Mining Massive Data Sets

3-4 Units
CS 248A

Computer Graphics: Rendering, Geometry, and Image Manipulation

3-4 Units
CS 248B

Fundamentals of Computer Graphics: Animation and Simulation

3 Units
CS 255

Introduction to Cryptography

3 Units
CS 347

Human-Computer Interaction: Foundations and Frontiers

3-4 Units
CS 348B

Computer Graphics: Image Synthesis Techniques

3-4 Units
CS 348K

Visual Computing Systems

3-4 Units
CS 349H

Software Techniques for Emerging Hardware Platforms

3 Units
CS 354

Topics in Intractability: Unfulfilled Algorithmic Fantasies

3 Units
CS 357S

Formal Methods for Computer Systems

3 Units
EE 272

Design Projects in VLSI Systems I

3-4 Units
EE 273

Digital Systems Engineering

3 Units
EE 282

Computer Systems Architecture

3 Units
EE 284

Introduction to Computer Networks

3 Units
EE 284A

Introduction to Internet of Things

3 Units
EE 285

Embedded Systems Workshop

3 Units
EE 292D

Machine Learning on Embedded Systems

3 Units
EE 217

Understanding the Sensors in your Smartphone

3 Units
EE 372D

Design Projects in VLSI Systems II

3-5 Units
EE 382A

Parallel Processors Beyond Multicore Processing

3 Units
EE 382C

Interconnection Networks

3 Units
ME 218A

Smart Product Design Fundamentals

4-5 Units
ME 218B

Smart Product Design Applications

4-5 Units
ME 218C

Smart Product Design Practice

4-5 Units

Depth Area 3: Communications and Networking

Complete any of the following course(s):
CS 244

Advanced Topics in Networking

3-4 Units
EE 247

Introduction to Optical Fiber Communications

3 Units
EE 274

Data Compression: Theory and Applications

3 Units
EE 276

Information Theory

3 Units
EE 279

Introduction to Digital Communication

3 Units
EE 284

Introduction to Computer Networks

3 Units
EE 284A

Introduction to Internet of Things

3 Units
EE 348

Advanced Optical Fiber Communications

3 Units
EE 358

Wireless System Design

3 Units
EE 359

Wireless Communications

3-4 Units
EE 374

Fundamentals of Blockchain Infrastructure

3 Units
EE 376C

Universal Information Processing

3 Units
EE 379

Digital Communication

3 Units
EE 379A

Data Transmission Design

3 Units
EE 379B

Advanced Data Transmission Design

3 Units
EE 382C

Interconnection Networks

3 Units
EE 384A

Internet Switching and Routing Protocols

3 Units
EE 384S

Performance Engineering of Computer Systems & Networks

3 Units
EE 387

Algebraic Error Correcting Codes

3 Units
MS&E 335

Queueing and Scheduling in Processing Networks

3 Units

Depth Area 4: Physical Technology and Science

Complete any of the following course(s):
BIOE 300B

Quantitative Physiology

3 Units
EE 212

Integrated Circuit Fabrication Processes

3 Units
EE 216

Principles and Models of Semiconductor Devices

3 Units
EE 218

Power Semiconductor Devices and Technology

3 Units
EE 219

3D+ Imaging Sensors

3-4 Units
EE 222

Applied Quantum Mechanics I

3 Units
EE 223

Applied Quantum Mechanics II

3 Units
EE 224

Quantum Control and Engineering

3 Units
EE 225

Biochips and Medical Imaging

3 Units
EE 234

Photonics Laboratory

3 Units
EE 235

Molecular and Cellular Engineering Lab

3 Units
EE 236A

Modern Optics

3 Units
EE 236B

Guided Waves

3 Units
EE 236C

Lasers

3 Units
EE 237

Solar Energy Conversion

3 Units
EE 238

Introduction to Fourier Optics

3 Units
EE 242

Electromagnetic Waves

3 Units
EE 247

Introduction to Optical Fiber Communications

3 Units
EE 258

Introduction to Radar Remote Sensing

3-4 Units
EE 259

Principles of Sensing for Autonomy

3 Units
EE 292L

Computational Electromagnetics

3 Units
EE 293B

Fundamentals of Energy Processes

3 Units
EE 303

Autonomous Implantable Systems

3 Units
EE 309A

Semiconductor Memory Devices and Circuit Design

3 Units
EE 309B

Emerging Non-Volatile Memory Devices and Circuit Design

3 Units
EE 311

Advanced Integrated Circuits Technology

3 Units
EE 312

Integrated Circuit Fabrication Laboratory

3-4 Units
EE 316

Advanced VLSI Devices

3 Units
EE 317

Special Topics on Wide Bandgap Materials and Devices

3 Units
EE 323

Energy in Electronics

3 Units
EE 329

The Electronic Structure of Surfaces and Interfaces

3 Units
EE 332

Laser Dynamics

3 Units
EE 336

Nanophotonics

3 Units
EE 340

Quantum Photonics

3 Units
EE 346

Introduction to Nonlinear Optics

3 Units
EE 347

Optical Methods in Engineering Science

3 Units
EE 348

Advanced Optical Fiber Communications

3 Units
ENERGY 201C

Energy storage and conversion systems: Solar Cells, Fuel Cells, Batteries

3 Units
ENGR 240

Introduction to Micro and Nano Electromechanical Systems

3 Units
ENGR 241

Advanced Micro and Nano Fabrication Laboratory

3 Units
MATSCI 209

Electronic and Optical Properties of Solids

3-4 Units
ME 220

Introduction to Sensors

4 Units
OPHT 207

Introduction to Electro-neural Interfaces

3 Units
RAD 235

Advanced Ultrasound Imaging

3 Units

Depth Area 5: Signal Processing, Control and Optimization

Complete any of the following course(s):
AA 203

Optimal and Learning-based Control

3 Units
AA 212

Advanced Feedback Control Design

3 Units
CEE 272R

Engineering Future Electricity Systems

3 Units
CS 234

Reinforcement Learning

3 Units
CS 238

Decision Making under Uncertainty

3-4 Units
CS 326

Topics in Advanced Robotic Manipulation

3-4 Units
EE 219

3D+ Imaging Sensors

3-4 Units
EE 227

Robot Perception

3-4 Units
EE 258

Introduction to Radar Remote Sensing

3-4 Units
EE 259

Principles of Sensing for Autonomy

3 Units
EE 260A

Principles of Robot Autonomy I

3 Units
EE 260B

Principles of Robot Autonomy II

3-4 Units
EE 261

The Fourier Transform and Its Applications

3 Units
EE 263

Matrix Methods: Singular Value Decomposition

3 Units
EE 264

Digital Signal Processing

3-4 Units
EE 267

Virtual Reality

3-4 Units
EE 268

The Engineering Economics of Electricity Markets

3 Units
EE 269

Quantization and Signal Processing for AI

3 Units
EE 278

Probability and Statistical Inference

3 Units
EE 355

Imaging Radar and Applications

3 Units
EE 363

Linear Dynamical Systems

3 Units
EE 364M

Mathematics of Convexity

1 Units
EE 364B

Convex Optimization II

3 Units
EE 367

Computational Imaging

3 Units
EE 368

Digital Image Processing

3 Units
EE 369A

Medical Imaging Systems I

3 Units
EE 369B

Medical Imaging Systems II

3 Units
EE 369C

Medical Image Reconstruction

3 Units
EE 377

Information Theory and Statistics

3 Units
EE 378A

Statistical Signal Processing

3 Units
EE 381

Sensorimotor Learning for Embodied Agents

3 Units
EE 469B

RF Pulse Design for Magnetic Resonance Imaging

3 Units
ENGR 205

Introduction to Control Design Techniques

3 Units
ENGR 209A

Analysis and Control of Nonlinear Systems

3 Units
MS&E 310

Linear Programming

3 Units
MS&E 311

Optimization

3 Units
MS&E 321

Stochastic Systems

3 Units
MS&E 322

Stochastic Calculus and Control

3 Units
MUSIC 422

Perceptual Audio Coding

3 Units
OIT 604

Data, Learning, and Decision-Making

3 Units
PSYCH 221

Image Systems Engineering

1-3 Units
STATS 315A

Modern Applied Statistics: Learning

3 Units
STATS 315B

Modern Applied Statistics: Learning II

3 Units