Electrical Engineering (BSEE)

From an engineering perspective, concepts of general chemistry will be investigated. Topics include atomic structure, stiochiometry, gas laws, periodic trends chemical bonds, thermodynamics, kinetics and organic chemistry. Other Prerequisites: Alternatively, student must demonstrate math placement requirements at or above MATH 115 in the placement chart. See Mathematics for details.

Prerequisites:

Select 1 Course: MATH 112, MATH 113, MATH 115, MATH 121, or MATH 122. Alternatively, student must demonstrate math placement requirements at or above MATH 115 in the placement chart. See Mathematics for details.

Goal Areas:

GE-02, GE-03

A course in communication principles to develop skills in the analysis and presentation of speeches.

Prerequisites:

none

Goal Areas:

GE-1B

This introductory course covers digital systems topics including binary numbers, logic gates, Boolean algebra, circuit simplification using Karnaugh maps, flip-flops, counters, shift registers and arithmetic circuits. Problem solving methods, study skills and professional development will be addressed throughout the course.

Prerequisites:

MATH 112

Students in this course approach writing as a subject of study by investigating how writing works across a variety of contexts.

Prerequisites:

none

Goal Areas:

GE-1A

Limits, continuity, the derivative and applications, transcendental functions, L'Hopital's Rule, and development of the Riemann integral.

Prerequisites:

Satisfy Placement Table in this section, MATH 115 or both MATH 112 and MATH 113 with "C" (2.0) or better.

Goal Areas:

GE-04

Techniques of integration, applications of integration, improper integrals, numerical integration, the calculus of parametric curves, and infinite series and sequences.

Prerequisites:

MATH 121 with "C" (2.0) or better or consent

Goal Areas:

GE-04

Designed for science and engineering students. Calculus-based physics. Covers elementary mechanics including kinematics, statics, equilibrium and dynamics of particles, work and energy, rotational motion, gravitation, and oscillation. Lecture and Laboratory. MATH 121 must be completed with a C or better prior to taking this course or must be taken concurrently. High school physics or PHYS 101 is also strongly encouraged. Fall, Spring

Prerequisites:

none

Goal Areas:

GE-02, GE-03

Emphasis on forces influencing employment and inflation. Current problems of the economy are stressed along with tools government has to cope with them.

Prerequisites:

none

Goal Areas:

GE-05

Examines decision making by the individual firm, the determination of prices and wages, and current problems facing business firms.

Prerequisites:

none

Goal Areas:

GE-05

To prepare students for engineering and technology education and profession through interactions with upper-class students, graduate students and practitioners from academia and industry; to prepare students for a career in electrical and computer engineering and technology.

Prerequisites:

none

his course presents algorithmic approaches to problem solving and computer program design using the C language. Students will explore Boolean expressions, implement programs using control structures, modular code and file input/output, and interface with external hardware using robots and sensors.

Prerequisites:

none

This course is meant to develop Electrical Engineering Circuit Analysis skills in DC and AC circuits. It includes circuit laws and theorems, mesh and node analysis. Natural and step response of RL, RC, and RLC circuits.

Prerequisites:

PHYS 222 or concurrent, MATH 321 or concurrent

Continuation of Circuit Analysis I to include special topics in circuit analysis.

Prerequisites:

EE 230 and EE 240, MATH 321, PHYS 222

Laboratory support for EE 230. Use of laboratory instrumentation to measure currents and voltages associated with DC and AC circuits. Statistical analysis of measurement data. Measurements of series, parallel and series-parallel DC and AC circuits. Measurement of properties for circuits using operational amplifiers. Measurement of transient responses for R-L and R-C circuits. Simulation of DC and AC circuits using PSPICE. Concepts covered in EE 230 will be verified in the laboratory. Pre-req: Must be taken concurrently with EE 230.

Prerequisites:

Must be taken concurrently with EE 230.

Matrices, determinants, systems of linear equations, vector spaces, linear transformations, and characteristic value problems.

Prerequisites:

MATH 122 with "C" (2.0) or better or consent

This course presents the theory, computations, and applications of first and second order differential equations and two-dimensional systems.

Prerequisites:

MATH 122 with "C" (2.0) or better or consent

Designed for science and engineering students. Calculus-based physics. Covers electrical charge and field; magnetic field and its sources; current and resistance; simple DC and AC circuits; and electromagnetic induction. Lecture only. (Associated laboratory course is PHYS 232.) MATH 121 must be completed with a C or better prior to taking this course. MATH 122 must be completed before taking this course or taken concurrently. Fall, Spring

Prerequisites:

MATH 121 with a "C" or better; PHYS 221 with a "C" or better.

Introduction to representing digital hardware using a hardware description language. Introduction to implementation technologies such as PAL's, PLA's, FPGA's and Memories. Analysis, synthesis and design of sequential machines; synchronous, pulse mode, asynchronous and incompletely specified logic.

Prerequisites:

EE 106, EE 107

Laboratory support for EE 282 practical aspects of design and analysis of different types of sequential machines will be presented through laboratory experience.

Prerequisites:

none

Introduction to crystal structure, energy band theory, conduction and optical phenomenon in semiconductors, metals and insulators. Study of equilibrium and non-equilibrium charge distribution, generation, injection, and recombination. Analysis and design of PN-junctions, (bipolar transistor, junction) and MOS field-effect transistors. Introduction to transferred electron devices and semiconductor diode laser.

Prerequisites:

PHYS 222, and MATH 321

Laboratory support for EE 303. Experiments include resistivity and sheet resistance measurements of semiconductor material, probing material, probing of IC chips, PN-junction IV and CV measurements, BJT testing to extract its parameters, MOSFET testing and evaluating its parameters, cv-measurements of MOS structure, and familiarization with surface analysis tools.

Prerequisites:

none

Introduction to discrete and microelectronics circuits including analog and digital electronics. Device characteristics including diodes, BJTs, JFETs, and MOSFETs will be studied. DC bias circuits, small and large signal SPICE modeling and analysis and amplifier design and analysis will be discussed.

Prerequisites:

EE 231

This second course of the electronics sequence presenting concepts of feedback, oscillators, filters, amplifiers, operational amplifiers, hysteresis, bi-stability, and non-linear functional circuits. MOS and bipolar digital electronic circuits, memory, electronic noise, and power switching devices will be studied.Spring

Prerequisites:

EE 332

A more advanced study of microprocessors and microcontrollers in embedded system design. Use of C language in programming, interrupt interfaces such as SPI, I2C, and CAN. External memory design and on-chip program memory protection are also studied.

Prerequisites:

none

Analysis of linear systems and signals in the time and frequency domain. Laplace and Fourier transforms. Z-transform and discrete Fourier transforms.

Prerequisites:

EE 230. MATH 321 and PHYS 222

This lab is designed to accompany EE 332. The lab covers the experimental measurement and evaluation of diode, BJT, and MOS characteristics; various feedback topologies; oscillator and op-amp circuits; and rectifiers and filter circuitry.

Prerequisites:

EE 231 and EE 332 taken concurrently.

Laboratory support for EE 334. Use of development boards and C programming language to handle I/O devices, interrupts, and all peripheral functions. Multiple functions such as timers, A/D converters, I/O devices, interrupts, and serial modules will be used together to perform desired operations.

Prerequisites:

Concurrent with EE 334

Vector fields. Electrostatic charges, potential and fields; displacement. Steady current/current density; magnetostatic fields, flux density. Materials properties. Faraday's Law and Maxwell's equations. Skin effect. Wave propagation, plane waves, guided waves. Radiation and antennas. Transmission line theory.

Prerequisites:

EE 231, MATH 223, MATH 321 and PHYS 222

Signals and Systems, Fourier transforms, Parseval's theorem. Autocorrelation functions and spectral density functions. Information theory. Noise and noise figure, probability and statistics. Transformation of random variables, probability of error and bit error rate. Modulation and demodulation. Overview of analog, sampled analog and digital communication systems. Spread spectrum systems.

Prerequisites:

EE 341, MATH 223

Theory and principles of linear feedback control systems. Analysis of linear control systems using conventional techniques like block diagrams, Bode plots, Nyquist plots and root-locus plots. Introduction to cascade compensation: proportional, derivative and integral compensation. State space models.

Prerequisites:

EE 341

Measurement techniques using the oscilloscope, spectrum analyzer and network analyzer. Signals and spectra. Frequency response. Noise and noise figure measurements. Intermodulation products. Amplitude and frequency modulation/demodulation. Sampling, aliasing, and intersymbol interference. Bit error measurement.

Prerequisites:

Concurrent with EE 353

Laboratory support for EE 358. Experimental evaluation of basic control system concepts including transient response and steady state performance. Analog and digital computers.

Prerequisites:

EE 341 and concurrent with EE 358

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

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

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

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

Surfaces, vector-valued functions, partial differentiation, multiple integration, and vector calculus.

Prerequisites:

MATH 122 with "C" (2.0) or better, or consent

A calculus based introduction to probability and statistics. Topics include probability, random variables, probability distributions (discrete and continuous), joint probability distributions (discrete and continuous), statistical inference (both estimation and hypothesis testing), confidence intervals for distribution of parameters and their functions, sample size determinations, analysis of variance, regression, and correlation. This course meets the needs of the practitioner and the person who plans further study in statistics. Same as MATH 354. Fall, Spring, Summer

Prerequisites:

MATH 122 with "C" (2.0) or better or consent

This course consists of two components:1) StaticsIntroduction to resultants of force systems, equilibrium, analysis of forces acting on structural and machine elements, friction, second moments.2) DynamicsIntroduction to kinematics and kinetics of particles, systems of particles and rigid bodies, work-energy.

Prerequisites:

none

Designed for science and engineering students. Calculus-based physics. Covers fluids, thermodynamics, mechanical and sound waves, geometrical optics, physical optics, and modern physics. Lecture only. (Associated laboratory course is PHYS 233.) Pre: MATH 121 with a Cor better; and PHYS 221 with a C or better. MATH 122 must be completed before taking this course or taken concurrently. Spring

Prerequisites:

MATH 121 with a "C" or better; and PHYS 221 with a "C" or better

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

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

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

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

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:

none

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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.

Prerequisites:

none

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

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