PhD Minor
PhD MinorOverview
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
EE 207
Neuromorphics: Brains in Silicon
EE 214A
Fundamentals of Analog Integrated Circuit Design
EE 214B
Advanced Integrated Circuit Design
EE 216
Principles and Models of Semiconductor Devices
EE 233
Analog Communications Design Laboratory
EE 251
High-Frequency Circuit Design Laboratory
EE 253
Power Electronics
EE 254
Advanced Topics in Power Electronics
EE 256
Board Level Design
EE 271
Introduction to VLSI Systems
EE 272
Design Projects in VLSI Systems I
EE 273
Digital Systems Engineering
EE 303
Autonomous Implantable Systems
EE 308
Advanced Circuit Techniques
EE 309A
Semiconductor Memory Devices and Circuit Design
EE 314A
RF Integrated Circuit Design
EE 315
Analog-Digital Interface Circuits
EE 356A
Resonant Converters
EE 356B
Magnetics Design in Power Electronics
EE 372D
Design Projects in VLSI Systems II
Depth Area 2: Software and Hardware Systems
BMDS 270
Algorithmic Foundations for Artificial Intelligence in Healthcare
CS 221
Artificial Intelligence: Principles and Techniques
CS 228
Probabilistic Graphical Models: Principles and Techniques
CS 229
Machine Learning
CS 230
Deep Learning
CS 231A
Computer Vision: From 3D Perception to 3D Reconstruction and Beyond
CS 231N
Deep Learning for Computer Vision
CS 236
Deep Generative Models
CS 240
Advanced Topics in Operating Systems
CS 243
Program Analysis and Optimizations
CS 244
Advanced Topics in Networking
CS 245
Principles of Data-Intensive Systems
CS 246
Mining Massive Data Sets
CS 248A
Computer Graphics: Rendering, Geometry, and Image Manipulation
CS 248B
Fundamentals of Computer Graphics: Animation and Simulation
CS 255
Introduction to Cryptography
CS 347
Human-Computer Interaction: Foundations and Frontiers
CS 348B
Computer Graphics: Image Synthesis Techniques
CS 348K
Visual Computing Systems
CS 349H
Software Techniques for Emerging Hardware Platforms
CS 354
Topics in Intractability: Unfulfilled Algorithmic Fantasies
CS 357S
Formal Methods for Computer Systems
EE 272
Design Projects in VLSI Systems I
EE 273
Digital Systems Engineering
EE 282
Computer Systems Architecture
EE 284
Introduction to Computer Networks
EE 284A
Introduction to Internet of Things
EE 285
Embedded Systems Workshop
EE 292D
Machine Learning on Embedded Systems
EE 217
Understanding the Sensors in your Smartphone
EE 372D
Design Projects in VLSI Systems II
EE 382A
Parallel Processors Beyond Multicore Processing
EE 382C
Interconnection Networks
ME 218A
Smart Product Design Fundamentals
ME 218B
Smart Product Design Applications
ME 218C
Smart Product Design Practice
Depth Area 3: Communications and Networking
CS 244
Advanced Topics in Networking
EE 247
Introduction to Optical Fiber Communications
EE 274
Data Compression: Theory and Applications
EE 276
Information Theory
EE 279
Introduction to Digital Communication
EE 284
Introduction to Computer Networks
EE 284A
Introduction to Internet of Things
EE 348
Advanced Optical Fiber Communications
EE 358
Wireless System Design
EE 359
Wireless Communications
EE 374
Fundamentals of Blockchain Infrastructure
EE 376C
Universal Information Processing
EE 379
Digital Communication
EE 379A
Data Transmission Design
EE 379B
Advanced Data Transmission Design
EE 382C
Interconnection Networks
EE 384A
Internet Switching and Routing Protocols
EE 384S
Performance Engineering of Computer Systems & Networks
EE 387
Algebraic Error Correcting Codes
MS&E 335
Queueing and Scheduling in Processing Networks
Depth Area 4: Physical Technology and Science
BIOE 300B
Quantitative Physiology
EE 212
Integrated Circuit Fabrication Processes
EE 216
Principles and Models of Semiconductor Devices
EE 218
Power Semiconductor Devices and Technology
EE 219
3D+ Imaging Sensors
EE 222
Applied Quantum Mechanics I
EE 223
Applied Quantum Mechanics II
EE 224
Quantum Control and Engineering
EE 225
Biochips and Medical Imaging
EE 234
Photonics Laboratory
EE 235
Molecular and Cellular Engineering Lab
EE 236A
Modern Optics
EE 236B
Guided Waves
EE 236C
Lasers
EE 237
Solar Energy Conversion
EE 238
Introduction to Fourier Optics
EE 242
Electromagnetic Waves
EE 247
Introduction to Optical Fiber Communications
EE 258
Introduction to Radar Remote Sensing
EE 259
Principles of Sensing for Autonomy
EE 292L
Computational Electromagnetics
EE 293B
Fundamentals of Energy Processes
EE 303
Autonomous Implantable Systems
EE 309A
Semiconductor Memory Devices and Circuit Design
EE 309B
Emerging Non-Volatile Memory Devices and Circuit Design
EE 311
Advanced Integrated Circuits Technology
EE 312
Integrated Circuit Fabrication Laboratory
EE 316
Advanced VLSI Devices
EE 317
Special Topics on Wide Bandgap Materials and Devices
EE 323
Energy in Electronics
EE 329
The Electronic Structure of Surfaces and Interfaces
EE 332
Laser Dynamics
EE 336
Nanophotonics
EE 340
Quantum Photonics
EE 346
Introduction to Nonlinear Optics
EE 347
Optical Methods in Engineering Science
EE 348
Advanced Optical Fiber Communications
ENERGY 201C
Energy storage and conversion systems: Solar Cells, Fuel Cells, Batteries
ENGR 240
Introduction to Micro and Nano Electromechanical Systems
ENGR 241
Advanced Micro and Nano Fabrication Laboratory
MATSCI 209
Electronic and Optical Properties of Solids
ME 220
Introduction to Sensors
OPHT 207
Introduction to Electro-neural Interfaces
RAD 235
Advanced Ultrasound Imaging
Depth Area 5: Signal Processing, Control and Optimization
AA 203
Optimal and Learning-based Control
AA 212
Advanced Feedback Control Design
CEE 272R
Engineering Future Electricity Systems
CS 234
Reinforcement Learning
CS 238
Decision Making under Uncertainty
CS 326
Topics in Advanced Robotic Manipulation
EE 219
3D+ Imaging Sensors
EE 227
Robot Perception
EE 258
Introduction to Radar Remote Sensing
EE 259
Principles of Sensing for Autonomy
EE 260A
Principles of Robot Autonomy I
EE 260B
Principles of Robot Autonomy II
EE 261
The Fourier Transform and Its Applications
EE 263
Matrix Methods: Singular Value Decomposition
EE 264
Digital Signal Processing
EE 267
Virtual Reality
EE 268
The Engineering Economics of Electricity Markets
EE 269
Quantization and Signal Processing for AI
EE 278
Probability and Statistical Inference
EE 355
Imaging Radar and Applications
EE 363
Linear Dynamical Systems
EE 364M
Mathematics of Convexity
EE 364B
Convex Optimization II
EE 367
Computational Imaging
EE 368
Digital Image Processing
EE 369A
Medical Imaging Systems I
EE 369B
Medical Imaging Systems II
EE 369C
Medical Image Reconstruction
EE 377
Information Theory and Statistics
EE 378A
Statistical Signal Processing
EE 381
Sensorimotor Learning for Embodied Agents
EE 469B
RF Pulse Design for Magnetic Resonance Imaging
ENGR 205
Introduction to Control Design Techniques
ENGR 209A
Analysis and Control of Nonlinear Systems
MS&E 310
Linear Programming
MS&E 311
Optimization
MS&E 321
Stochastic Systems
MS&E 322
Stochastic Calculus and Control
MUSIC 422
Perceptual Audio Coding
OIT 604
Data, Learning, and Decision-Making
PSYCH 221
Image Systems Engineering
STATS 315A
Modern Applied Statistics: Learning
STATS 315B
Modern Applied Statistics: Learning II

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