Active Course List

Behavior of analog systems and digital systems in the presence of noise, principles of digital data transmission, baseband digital modulation, baseband demondulation/detection, bandpass mondulation and demodulation of digital signals. Channel coding, modulation and coding trade-offs, spread spectrum techniques, probability and information theory.

Prerequisites:

EE 353 and EE 363

Areas of Interest:

Science, Technology, Engineering, Mathematics

Programs:

Computer Engineering (BSEC) | Electrical Engineering (BSEE)

Design of combinational and sequential systems and peripheral interfaces. Design techniques using MSI and LSI components in an algorithmic state machine; implementation will be stresses. Rigorous timing analysis transmission-line effects and metastability of digital systems will be studied.

Prerequisites:

EE 244

Areas of Interest:

Science, Technology, Engineering, Mathematics

The design and organization of engineering projects. Project proposals, reporting, feasibility studies, and interpretation. Specification preparation, interpretation, and control. Issues involving creativity, project planning and control, and intellectual property rights. Students enrolled in this course must initiate and complete a design project in a small team format.

Prerequisites:

EE 332, EE 337, EE 341, EE 358. Select One Course: EE 333, EE 390. Select One Course: EE 334, EE 353. Select One Course: EE 350, EE 395

Graduation Requirements:

Writing Intensive

Areas of Interest:

Science, Technology, Engineering, Mathematics

Programs:

Computer Engineering (BSEC) | Electrical Engineering (BSEE)

The features, data rate, frequency range, and operation of several wireless networking protocols such as Wi-Fi, Low Energy Bluetooth, Near Field Communication, Radio frequency Identifier (RFID), Threads, and ZigBee that can be used to implement Internet of Things (IoT) are introduced. The electrical, functional, and procedural specifications of Wi-Fi are then examined in detail. The programming and data transfer using the hardware Wi-Fi kit are carried out to demonstrate the versatility of this protocol.

Areas of Interest:

Science, Technology, Engineering, Mathematics

Programs:

Computer Engineering (BSEC) | Computer Engineering Technology (BS) | Electrical Engineering (BSEE) | Internet of Things (CERT)

This course is a continuation of EE 358. Techniques for the analysis of continuous and discrete systems are developed. These techniques include pole placement, state estimation, and optimal control.

Prerequisites:

EE 358 and EE 368

Areas of Interest:

Science, Technology, Engineering, Mathematics

Programs:

Computer Engineering (BSEC) | Electrical Engineering (BSEE)

Develop design and analysis techniques for discrete signals and systems via Z-transforms, Discrete Fourier Transforms, implementation of FIR and IIR filters. The various concepts will be introduced by the use of general and special purpose hardware and software for digital signal processing.

Prerequisites:

EE 341

Areas of Interest:

Science, Technology, Engineering, Mathematics

Programs:

Computer Engineering (BSEC) | Electrical Engineering (BSEE)

Power generation, transmission and consumption concepts, electrical grid modeling, transmission line modeling, electric network power flow and stability, fault tolerance and fault recovery, economic dispatch, synchronous machines, renewable energy sources and grid interfacing.

Prerequisites:

EE 231 or via permission from instructor

Areas of Interest:

Science, Technology, Engineering, Mathematics

Programs:

Computer Engineering (BSEC) | Electrical Engineering (BSEE)

This course is designed to provide students with knowledge of the design and analysis of static power conversion and control systems. The course will cover the electrical characteristics and properties of power semiconductor switching devices, converter power circuit topologies, and the control techniques used in the applications of power electronic systems. Laboratories consist of computer-based modeling and simulation exercises, as well as hands-on laboratory experiments on basic converter circuits and control schemes.

Prerequisites:

EE 333

Areas of Interest:

Science, Technology, Engineering, Mathematics

Programs:

Computer Engineering (BSEC) | Electrical Engineering (BSEE)

Introduction to theory and techniques of integrated circuit fabrication processes, oxidation, photolithography, etching, diffusion of impurities, ion implantation, epitaxy, metallization, material characterization techniques, and VLSI process integration, their design and simulation by SUPREM.

Prerequisites:

EE 303 and EE 332

Areas of Interest:

Science, Technology, Engineering, Mathematics

Programs:

Computer Engineering (BSEC) | Electrical Engineering (BSEE)

Principles of electromagnetic radiation, antenna parameters, dipoles, antenna arrays, long wire antennas, microwave antennas, mechanisms of radiowave propagation, scattering by rain, sea water propagation, guided wave propagation, periodic structures, transmission lines, microwave/millimeter wave amplifiers and oscillators, MIC & MMIC technology.

Prerequisites:

EE 350

Areas of Interest:

Science, Technology, Engineering, Mathematics

Programs:

Computer Engineering (BSEC) | Electrical Engineering (BSEE)

Completion of design projects and reports. Lectures on ethics, issues in contracting and liability, concurrent engineering, ergonomics and environmental issues, economics and manufacturability, reliability and product lifetimes. Lectures by faculty and practicing engineers.

Prerequisites:

EE 467 and Senior Standing

Graduation Requirements:

Writing Intensive

Areas of Interest:

Science, Technology, Engineering, Mathematics

Programs:

Computer Engineering (BSEC) | Electrical Engineering (BSEE)

Digital signal processing (DSP) has a wide variety of applications such as but not limited to: voice and audio processing, biomedical signal analysis, mobile and internet communications, radar and sonar, image/video processing. This course will strengthen student¿s knowledge of DSP fundamentals and familiarize them with practical aspects of DSP algorithm development and implementation. Students will develop the ability to implement DSP algorithms for real-time performance with a floating-point DSP chip.

Prerequisites:

EE 472

Areas of Interest:

Science, Technology, Engineering, Mathematics

Magnetic and superconducting properties of materials, microscopic theory of superconductivity and tunneling phenomenon. Josephson and SQUID devices, survey of computer memories, memory cell and shift register, A/D converters and microwave amplifiers. Integrated circuit technology and high temperature superconductors.

Prerequisites:

EE 303

Areas of Interest:

Science, Technology, Engineering, Mathematics

Programs:

Computer Engineering (BSEC) | Electrical Engineering (BSEE)

Introduction to integrated circuit fabrication processes, device layout, mask design, and experiments related to wafer cleaning, etching, thermal oxidation, thermal diffusion, photolithography, and metallization. Fabrication of basic integrated circuit elements pn junction, resistors, MOS capacitors, BJT and MOSFET in integrated form. Use of analytic tools for in process characterization and simulation of the fabrication process by SUPREM.

Prerequisites:

Concurrent with EE 475

Areas of Interest:

Science, Technology, Engineering, Mathematics

Programs:

Computer Engineering (BSEC) | Electrical Engineering (BSEE)

This laboratory accompanies EE 484. The laboratory covers the basics of layout rules, chip floor planning, the structure of standard cells and hierarchical design, parasitic elements, routing, and loading. Students will learn to design and layout standard cells as well as how to use these cells to produce complex circuits. The laboratory culminates with the individual design and layout of a circuit.

Prerequisites:

Concurrent with EE 484

Areas of Interest:

Science, Technology, Engineering, Mathematics

Programs:

Computer Engineering (BSEC) | Electrical Engineering (BSEE)

Electrical power and magnetic circuit concepts, switch-mode converters, mechanical electromechanical energy conversion, DC motor drives, feedback controllers, AC machines and space vectors, permanent magnet AC machines and drives, induction motors and speed control of induction motors, stepper motors.

Prerequisites:

EE 230

Areas of Interest:

Science, Technology, Engineering, Mathematics

Programs:

Electrical Engineering (BSEE)

his course covers cutting-edge areas of the study in smart grid and power systems. This course will cover fundamentals of power flow calculation, wind power and its integration, solar power and its integration, distributed generation sources, energy storage devices and electric vehicles. The basic ideas of the integration of microgrid with distribution networks, the demand response and demand side management, and electricity market will be introduced. Moderate work of programming in professional power systems software tools, PowerWorld and PSCAD will be required.

Prerequisites:

EE333

Areas of Interest:

Science, Technology, Engineering, Mathematics

Programs:

Electrical Engineering (BSEE)

The basics of digital VLSI technology. Bipolar and MOS modeling for digital circuits. Physical transistor layout structure and IC process flow and design rules. Custom CMOS/BICMOS static and dynamic logic styles, design and analysis. Clock generation, acquisition, and synchronization procedures. Special purpose digital structures including memory, Schmitt triggers, and oscillators. Individual design projects assigned.

Prerequisites:

EE 333

Areas of Interest:

Science, Technology, Engineering, Mathematics

Programs:

Computer Engineering (BSEC) | Electrical Engineering (BSEE)

This course focuses on CMOS Application Specific Integrated Circuit (ASIC) design of Very Large Scale Integration (VLSI) systems. The student will gain an understanding of issues and tools related to ASIC design and implementation. The coverage will include ASIC physical design flow, including logic synthesis, timing, floor-planning, placement, clock tree synthesis, routing and verification. An emphasis will be placed on low power optimization. The focus in this course will be Register-transfer level (RTL) abstraction using industry-standard VHDL/Verilog tools.

Prerequisites:

EE 484

Areas of Interest:

Science, Technology, Engineering, Mathematics

Programs:

Computer Engineering (BSEC) | Electrical Engineering (BSEE)

This course covers the signal and power integrity design for high speed digital circuits and systems. Four types of design approaches at different levels are presented. They include the intuitive approach, the analytical analysis, the numerical simulation and the experimental-based methods. This course offers a framework for understanding the electrical properties of interconnects and materials that apply across the entire hierarchy from on-chip, through the packages, to circuit boards, connectors and cables.

Prerequisites:

EE 231. EE 341

Areas of Interest:

Science, Technology, Engineering, Mathematics

Programs:

Computer Engineering (BSEC) | Electrical Engineering (BSEE)

Overview of wireless communication and control systems. Characterization and measurements of two-port RF/IF networks. Transmission lines. Smith chart. Scattering parameters. Antenna-preselector-preamplifier interface. Radio wave propagation. Fading. RF transistor amplifiers, oscillators, and mixer/modulator circuits. Multiple access techniques. Transmitter/receiver design considerations. SAW matched filters.

Prerequisites:

EE 353 and EE 363

Areas of Interest:

Science, Technology, Engineering, Mathematics

Programs:

Computer Engineering (BSEC) | Electrical Engineering (BSEE)

The students will learn and practice their PLC programming knowledge in the Industrial Automation LAB. Learn programming and implementation of servo drive, VFD, Human Machine Interface (HMI) programming, Cognex vision system and controlling in a close loop with Allen Bradley ControlLogix PLC hardware.

Areas of Interest:

Science, Technology, Engineering, Mathematics

This course introduces students the recent advances in real-time embedded systems design. Topics cover real-time scheduling approaches such as clock-driven scheduling and static and dynamic priority driven scheduling, resource handling, timing analysis, inter-task communication and synchronization, real-time operating systems (RTOS), hard and soft real-time systems, distributed real-time systems, concepts and software tools involved in the modeling, design, analysis and verification of real-time systems.

Prerequisites:

EE 107, EE 334, EE 395

Areas of Interest:

Science, Technology, Engineering, Mathematics

Programs:

Computer Engineering (BSEC) | Electrical Engineering (BSEE)

Machine Learning (ML) is the study of algorithms that learn from data, and it has become pervasive in technology and science. This course is an introductory course on the application of Artificial intelligence (AI) & ML in the field of Electrical and Computer Engineering. The course has three units. The first unit introduces several ML algorithms and Python programming languages. The second unit deals with autonomous driving. The last part deals with AI & ML-based wireless network design.

Prerequisites:

EE 341, EE 353

Areas of Interest:

Science, Technology, Engineering, Mathematics

Variable

Areas of Interest:

Science, Technology, Engineering, Mathematics