400

EE 403 Communication Systems

Introduction to analog and digital communication systems with emphasis on modulation, demodulation, encoding, decoding, and synchronization techniques used in wireless systems. Python is used to simulate communication systems and to write a software defined receiver (SDR) for a real RF signal.

3

Prerequisites

EE 262

Cross Listed Courses

EE 503

EE 404 Automatic Control Systems

Modeling and control of continuous-time control systems. Topics include feedback, transfer functions, responses in the time and frequency domains, stability, and compensation. Applications include manufacturing and robotics.
3

Prerequisites

MTH 321

EE 421 Electric Power Systems

Introduction to the modeling, design, and operation of modern power generation, transmission, and distribution systems. Topics include complex power, three-phase systems, compensation, and power flow.

3

Prerequisites

EE 261

EE 424 Renewable Energy

Study of renewable energy systems including photovoltaic, wind, geothermal systems, biofuels, and tidal energy. Overview of renewable energy credits, sustainability definitions, life cycle assessment, and exergy assessment techniques.
3

Prerequisites

ME 331

Cross Listed Courses

ME 438

EE 434 ASIC Design

Introduction to ASIC (application-specific integrated circuits) design flow. Synthesis of combinational and sequential logic. Synthesis of hardware description language constructs. Post-synthesis design tasks. FPGA (field programmable gate array) architectures. Design prototyping with FPGAs.

3

Prerequisites

EE 435

EE 435 Verilog Digital Systems Modeling

Introduction to Verilog-based design process. Hierarchical modeling methodology. Basic Verilog language structures for modeling digital hardware functions. Modules and ports. Gate-level modeling. Data flow modeling. Behavioral modeling. Tasks and functions. Useful modeling techniques in digital system design. Component timing and delay modeling. Logic synthesis with Verilog HDL.

3

Prerequisites

EE 332

EE 436 Testing of Digital Systems

Introduction to topics in testing of digital systems. Physical circuit failures and fault modeling. Fault simulation and fault coverage. Algorithms for automatic test pattern generation. Introduction to Built-in self test. Testing of sequential circuits. Test application and response processing techniques. Design for testability. Includes an advanced testing project.

3

Prerequisites

EE 332

Cross Listed Courses

EE 536

EE 437 Advanced Computer Architecture

Processor control unit design techniques. Pipelined data path and control unit design. Cache memory and cache coherency design techniques. Memory management using virtual memory. Case studies of contemporary high-performance computer architectures.

3

Prerequisites

EE 334 or CS 333

EE 438 Introduction to Digital VLSI Design

Introduction to digital CMOS VLSI chip design using Tanner's L-EDIT layout software, and PSPICE. Topics include CMOS gate logic design simulation and layout, speed and power considerations, and CMOS VLSI chip design using Standard Cells. Students are required to complete a modest-sized CMOS integrated circuit design project through layout, simulation, and verification.

3

Prerequisites

EE 231

EE 439 Pre-silicon Verification

This course is an introduction to functional pre-silicon verification of digital systems. The course will cover verification flow, simulation based verification, virtual platforms, formal verification and FPGA-based emulation.

3

Prerequisites

EE 334

Cross Listed Courses

EE 539

EE 451 Advanced Analog Electronics

Analysis and design of advanced MOS analog electronic circuits. Topics include advanced MOS semiconductor device models, active loaded amplifiers, operational amplifiers, feedback compensation, and switched-capacitor filters. PSPICE is used as a circuit simulation tool. An introduction to photovoltaics, thermoelectronics, and nanoelectronics is also included.

3

Prerequisites

EE 352

EE 463 Digital Signal Processing

This course covers techniques used to process digital signals in applications such as audio filtering and speech recognition. Topics include analog-to-digital and digital-to-analog conversions, aliasing, quantization, discrete-time signals and systems, discrete-time Fourier transform, Z-transform, and digital filter design. MATLAB is used to demonstrate concepts and to process real signals.
3

Prerequisites

EE 262

Cross Listed Courses

BME 563

EE 464 Real-time Digital Signal Processing

Introduction to the hardware and software used in real-time digital signal processing (DSP) systems. Topics include analog-to-digital and digital-to-analog converters, DSP chip architecture, and special software techniques such as frame-based processing, circular buffering, digital filters, and the Fast Fourier Transform. Students will implement real-time DSP systems using C language and will run them on a DSP board.
3

Prerequisites

EE 262, CS 305

EE 465 Introduction to Neuroimaging and Brain Stimulation

Applications of electrical engineering in recording and modifying neural activity of the brain. Topicsinclude basics of brain imaging techniques such as electroencephalography (EEG), magneticresonance imaging (MRI), and functional magnetic resonance imaging (fMRI). Introduction to treatmentmethods utilizing electric and magnetic fields to alter brain activity such as repetitive transcranialmagnetic stimulation (rTMS).

3

Prerequisites

EE 262

Cross Listed Courses

BME 564

EE 483 Electrical Engineering Capstone Project I

A major design experience based on the knowledge and skills acquired in earlier course work and incorporating appropriate standards and multiple realistic constraints. Projects have some combination of the following characteristics: realism, communication, exposure, teamwork, learning, and related opportunities. 

3

Prerequisites

EGR 351 or EGR 352 or corequisites, EGR 300, EE 334 or EE 351 or EE 400-level

Corequisites

EGR 351 or EGR 352 or prerequisites, EE 083

EE 484 Electrical Engineering Capstone Project II

Continuation of a major design experience based on the knowledge and skills acquired in earlier course work and incorporating appropriate standards and multiple realistic constraints. Projects have some combination of the following characteristics: realism, communication, exposure, teamwork, learning, and related opportunities. 

3

Prerequisites

EE 483

Corequisites

EE 084

EE 490 Directed Study

Selected study or project in electrical engineering for upper-division students. Must be arranged between the student and an individual faculty member and subsequently approved by the dean of engineering. No more than three hours of directed study taken at the University may be used for elective credits to satisfy degree requirements.

Variable

EE 491 One Time Course Offering

Credit Arranged.

Variable

EE 492 One Time Course Offering

Credit Arranged.

Variable

EE 493 Research

Faculty-directed student research. Before enrolling, a student must consult with a faculty member to define the project. May be repeated for credit.
1-3

Prerequisites

Upper division standing.