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Electrical EngineeringCredits

This course explains the interfacing method between a sensor and the microcontroller, describes the features and functions of several frequently used sensors, it then proceeds to explore the subject of sensor fusion, describe the algorithms how multiple sensors are used to extract correct and more useful information than each individual single sensor; finally the course also explores how a large number of sensor nodes are connected together via the wireless networking technologies to enable the monitoring and control of our environment to improve our life.

Prerequisites:
EE334 & EE344
Programs:

High-level language constructs using a selected assembly language, design alternatives of computer processor datapath and control, memory hierarchy/management unit, use of HDL in describing and verifying combinational and sequential circuits. Design of computer processor and memory system.

Prerequisites:
EE 234, EE 235, EE 281
Programs:

Curricular Practical Training: Co-Operative Experience is a zero-credit full-time practical training experience for one summer and an adjacent fall or spring term. Special rules apply to preserve full-time student status. Please contact an advisor in your program for complete information.

Prerequisites:
EE 235. At least 60 credits earned; in good standing; instructor permission; co-op contract; other prerequisites may also apply.

This course covers the fundamentals of mobile robotic modeling, control, sensing and navigation planning. Frame coordinate systems and transformations are introduced along with physics driven dynamic differential continuous as well as discrete difference models. Algorithms associated with controller synthesis applied to path following based on sensor feedback are derived. The course also introduces electrical and mechanical implementation concepts in mobile robotic system design. In addition to the lecture, thecourse includes a laboratory component that involves the design and construction of robotic hardware and the development of associated software to test various robotic algorithms on real robots.

Prerequisites:
EE 358
Programs:

Overview of accounting and finance and their interactions with engineering. Lectures include the development and analysis of financial statements, time value of money, decision making tools, cost of capital, depreciation, project anaysis and payback, replacement analysis, and other engineering decision making tools.

Prerequisites:
Advanced standing in the program
Programs:

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
Programs:

Vision (whether in humans or robots) is fundamentally a computational process. Visual processes for machines must be able to deliver the kinds of capabilities that humans have: scene recognition, motion processing, navigation, and so forth. This course will begin by examining some of the elementary concepts in robot¿s vision. Subprocesses to be examined include edge detection, methods for obtaining shape information from images, object detection, space reconstruction and multi-view integration. The student will also be exposed to unsolved problems in these topics. The workload consists of programming and course projects

Prerequisites:
MATH 247, EE341
Programs:

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
Programs:

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
Programs:

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.

Prerequisites:
EE 334, EE 341, and MATH 280.
Programs:

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
Programs:

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
Programs:

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
Programs:

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
Programs:

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
Programs:

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
Programs:

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
Programs:

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
Programs:

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
Programs:

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
Programs:

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
Programs:

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
Programs:

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
Programs:

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
Programs:

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
Programs: