Course descriptions

Analysis of steady-state AC circuits, phasor notation, polyphase circuits, complex frequency, and frequency response, magnetically coupled circuits.

Magnetics and magnetically coupled circuits, electromechanical energy conversion, rotating magnetic fields, stepper motors, DC machines, induction machines, synchronous machines and brushless DC machines.

Magnetics and magnetically coupled circuits, electromechanical energy conversion, rotating magnetic fields, stepper motors, DC machines, induction machines, synchronous machines and brushless DC machines.

Power system components and transmission lines, three-phase balanced power system theory, analysis and design including economic and reliability considerations, and fault analysis.

Power system components and transmission lines, three-phase balanced power system theory, analysis and design including economic and reliability considerations, and fault analysis.

Laplace transforms, Formulation of the control problem, system equations and models, time and frequency domain analysis, stability, and design of linear control systems.

Software tools for control systems analysis.

Provides an overview of robot mechanisms, dynamics, and intelligent controls. Topics include planar and spatial kinematics, and motion planning; mechanism design for manipulators and mobile robots, multi-rigid-body dynamics, 3D graphic simulation; control design, actuators, and sensors; wireless networking, task modeling, human-machine interface, and embedded software.

Weekly laboratories provide experience with servo drives, real-time control, and embedded software. Students will design and fabricate working robotic systems in a group-based term project.

Introduction to programmable automation, programmable logic controller (PLC) hardware, programming languages and techniques, closed-loop strategies using PLC’s, sensors, transducers. Case studies. Laboratory experiments.

Analysis methods for discrete-time signals and systems in the time and frequency-domains including signal models and Fourier techniques. Continuous-time concepts are included as introductory material.

Signals and systems for digital communications. Topics include signals and their spectra, source formatting, digital baseband data communication, and digital pass-band modulation and demodulation.

Laboratory and software tools for the analysis of linear and non-linear systems. Topics include spectral analysis, transforms, and applications.

Diode and transistor circuits, small signal analysis, amplifier design, differential, and operational amplifiers, flipflop circuits and wave shaping.

Experiments in design with diodes, transistors, differential and operational amplifiers, and logic components.

Static electric and magnetic fields using vector analysis and time-varying electromagnetic fields using Maxwell’s equations. Topics include Coulomb’s law, Gauss’s law, Ampere’s law, dielectric and magnetic materials, plane waves, and transmission lines.

Electrical Engineering Internship

This course explores strategic processes and partnership required for the management of sustainable energy infrastructures and innovation in energy systems. Topics relate to renewable energy, island-grids, (smart) micro-grids, technologies for the conversion of renewable energies, renewable energy potential studies, modeling, simulation, and control of power systems.

Project tasks will be conducted individually or in teams of 2-3 students. The main part of the project is the execution of technical experiments in the lab or the computer-aided development of solutions.

Advanced programmable logic controller (PLC) programming, function block, structured text, function chart, sequencer. Factory communications, system simulation, human-machine interface (HMI) programming. Advanced PID control. Network security and reliability. Class-wide project.

Random signals and their characterization; noise performance of amplitude, angle and pulse modulation systems; digital data transmission; use of coding for error control.

Power semiconductor devices in switching mode converter and control circuits, phase-controlled rectifiers, synchronous inverters, AC regulators, cyclo-converters; self-commuted inverters; and frequency changers; thermal analysis and protection. Applications to industry and HVDC.

Network analysis applied to power systems; the load flow concept; economic operation of power systems; synchronous machine reactances and transient stability; symmetrical components and asymmetrical faults; protective relaying.

Introduction to microwave systems and antennas. Radiation mechanisms and design aspects. Antenna arrays and applications. Passive and active microwave devices. Microwave design principles.

Lab is focused on conformal antennas, broadband metamaterials, conformal broadband pixelated reconfigurable antennas, conformal reconfigurable antennas, low-cost phased arrays for portables/wearables, wireless power transfer and wireless sensing.

A complete design cycle – working in small teams, students will design, document, analyze, implement, and test a product. Topics include Iteration in design, prototyping, group dynamics, design reviews, making effective presentations, concurrent design, designing for test, ethics, and standards, testing, and evaluation.

A continuation of ELEN 491.

Introduction to computer science and programming. Topics include information and data representation, hardware, programming methodology, algorithm design, abstract data types, programming language, operating systems, applications and communications.

Introduction to application development. Topics include: basics of problem solving techniques, game programming, mobile applications.

An introductory course to problem solving and computational thinking using computer programming. Topics include: problem solving fundamentals, programming basics, variables and expressions, input/output, control structures, functions, strings and files.

Web design practices using modern technologies. Topics include: Website basic elements, Web page design, creating site content, and launching a web site.

Programming fundamentals from an object oriented design perspective. Topics include: basic procedural concepts, objects, classes, interface, methods, encapsulation, information hiding, and inheritance.

Advanced programming techniques using data structures. Topics include recursion, lists, stacks, queues, trees, graphs, and hash tables.

Object oriented analysis, design, and advanced programming concepts. Topics include: polymorphism, abstract classes, interfaces, exception handling, graphical user interface, and modelling notations.

Introductory course in digital logic and its specification and simulation. Number systems. Binary arithmetic. Boolean algebra. Combinational logic design. Sequential logic design (controllers). Data Path components (e.g. Registers, adders, register files , etc.). Memory components (e.g. RAM, ROM). Register transfer level (RTL) design.

Practicing advanced problem solving techniques: arrays, stacks, queues, strings, sorting, arithmetic, algebra, combinatorics, number theory, backtracking, geometry, graphs algorithms and traversals. Introduction to dynamic programming, preparing students majoring in computer science for international and regional ACM programming contests.

Computer architecture and organization. Topics include performance evaluation, instruction, set architecture, data path, control unit, pipelining, memory hierarchy, storage, and other I/O topics.

Introduction to systems programming in Unix/Linux environment. Topics include scripting, libraries, utilities, development tools, piping, binary files, exception handling, command-line arguments, and symbolic debugging.

Exploration of the Unix operating system, including its tools and utilities for program development, such as makefile, piping and redirection, shell scripts, regular expressions, and symbolic debuggers. In addition, this course explores advanced features of the C programming language, including various file processing, command-line and variable arguments, exception handling, and generic interfacing.

Introduction to Data Science. Topics include data acquisition, data management, data preparation and integration, data analysis, model development and deployment, and visualization.

This course introduces discrete structures. Topics include: basic logic, sets, relations, functions, proof techniques, counting methods, recursion, trees and graphs.

Introduction to web development. Topics include client/server side scripting, dynamic websites, web services, database connectivity, security, and authentication.

Design & analysis of recursive and non-recursive algorithms. Topics include asymptotic analysis of algorithm efficiency, algorithm design techniques (e.g. divide-and-conquer, dynamic programming, greedy approaches) and their applications to computational problems, and introduction to parallel algorithms.

Principles of programming language design. Specification of syntax and semantics. Underlying implementation of block structured languages. Dynamic memory allocation for strings, lists and arrays. Imperative versus applicative programming. First order logic and logic programming. Lambda calculus and functional programming languages. Modern programming languages.

In-depth study of object-oriented design patterns. Topics include: creational patterns, structural patterns, and behavioral patterns. Pattern's intent, motivation, applicability, participants, collaborations, consequences, and implementations.

Introduction to software engineering. Topics include software development life cycle, software processes, requirements engineering, software architecture and design, software testing, software evolution, and software modeling using UML.

Introduction to modern business analysis. Topics include: planning and monitoring, elicitation, requirements, analysis, solution assessment and validation, requirements management and communication, business problems identification, business cases development and plans for achieving effective solutions.

Fundamentals of Database Management Systems. Modern database models. Basic database management concepts. Query languages. Relational algebra and relational calculus. Database design through normalization. Development experience in a team environment.

Introduction to mobile application development. Topics include creating and deploying mobile applications, development approaches, programming languages, frameworks, application architecture, event-driven programming, model-view-controller, user interface and usability.

Introduction to visual representation methods and techniques for increasing the understanding of complex data. Topics include: human visual perception, visualization design principles, interactive visualization techniques, and application of visualization in analyzing complex data from various fields.