Semiconductors. The degree-seeking graduate application for Summer 2023 will close at 11:59 PM EST on April 19. Restriction(s): Can enroll if Class is GraduateCan enroll if Level is Rackham or GraduateCan enroll if College is Engineering and Computer ScienceCan enroll if Major is Electrical Engineering, Computer Engineering, ECE518 Mat Selec for Commercial Prod 3 Credit Hours. A project will be required. Introduction to pattern recognition (PR) as a process of data analysis. EECS at Michigan Established. The student will submit a report on the project and give an oral presentation to a panel of faculty members at the close of the term. Modeling and simulation will also be covered. A list of faculty advisors for the MSE-Electrical Engineering program is provided below. . The study of intelligent vehicle systems includes system architectures, sensors, and algorithms. Sensing technologies including basic computer vision will be covered. Three lecture hours per week. During the 2020-2021 academic year, University of Michigan - Dearborn handed out 136 bachelor's degrees in electrical engineering. Edit your . Three lecture hours per week. Orcid identifier 0000-0001-6591-8515. Coverage of the next generation of active automotive safety systems including intelligent cruise control, lane departure warning, virtual camber, and back-up and blind spot warning systems. Topics include cyberspaces, techniques for generating virtual worlds in engineering applications, building blocks of virtual environments including hardware and software. Logic design and testing of VLSI circuits. Introduction to linear spaces and operators; mathematical description of multiple input-output systems; state variables and state transition matrix; controllability and observability and its application to irreducible realization of transfer function matrices; state variable estimation; controller synthesis by state feedback; stability of linear systems; analysis of composite systems. Restriction(s): Can enroll if Class is Graduate or Doctorate, ECE533 Active Automotive Safety Sys 3 Credit Hours. Restriction(s): Can enroll if Class is Specialist or Graduate or Doctorate, ECE539 Production of Elec Prods 3 Credit Hours. It will provide threat modeling and risk assessment methods employed when developing security solutions for active and passive sensors. Object of this course is to introduce current techniques information security in general and multimedia security in particular. In addition, the student will learn how to perform computer simulations of various statistical and neural network models, and learn how to select appropriate model parameters, such as network architecture, hidden layer size, and learning rate. Reliability & Fault Tolerance. Introduction to the fundamental concepts of data mining including data exploration, pre-and post-processing, OLAP, predictive modeling, association analysis, and clustering. ECE517 Adv Pwr Electrncs&Motor Drvs 3 Credit Hours. Three lecture hours per week. Supercomputers. Restriction(s): Can enroll if Level is Rackham or Graduate or Doctorate or Can enroll if Major is Computer & Information Science, Mechanical Engineering, Electrical Engineering, Industrial & Systems Engin, Information Sys Engineering, Automotive Systems Engineering, Computer Engineering, ECE5426 Electric Machines and Drives 3 Credit Hours. By learning and understanding the working vocabulary of each of these three fields, students will be able to contribute creative and effective multimedia-based solutions to interesting real-world problems. Permission of instructor required. The online students have the opportunity to interact with the instructors and with fellow students (both on campus as well as online) through CANVAS. ECE5121 Mod & Des of Electrnic Cir&Sys 3 Credit Hours. Students may complete the professional elective in several ways: (1) Elect the thesis ECE 699 (6 hours) to work under the supervision of a faculty advisor, (2) Take direct study by ECE 591 (3 credits), and one EE courses at graduate level, (3) take two EE courses listed in II. Please confirm your cognate course selections with the ECE Department, via e-mail, prior to registering. Three lecture hours per week. Channel models, signal generation and reception are explored. SIMD and MIMD structures. The course will use examples of electromagnetic devices that operate at low frequency, (e.g., coils and motors), and others that operate at high frequency (e.g., Optical fiber, Laser, Imaging Sensor, LEDs, Solar cells and Antenna.) Impactful Research: Building on $50M of research, EE faculty and students are leaders in transferring technology from the lab to real-world products impacting sustainability, communication and information systems, security, computers, and more. Introduction to stochastic processes; stationarity, ergodicity; auto correlation and cross correlation, linear systems with random inputs, spectral analysis, Wiener filtering, Kalman filtering. All three courses may be taken from one specialization or a combination of any of the specializations. Students are expected to have knowledge of high-level programming language and will be required to accomplish a course project. Topics include: an overview of embedded processors and microcontrollers, digital signal processors, field programmable gate arrays (FGPAs), sensors and actuators, embedded operating systems including various Linux and Android platforms, and embedded networks. Examples involving various types of applications (automotive, communications, computers) will be discussed. This course will cover the fundamental concepts and techniques used in multimedia data, storage and retrieval including storage and retrieval images, videos, audio and text documents. Modeling machine and process dynamics. A term project may be required. All three courses may be taken from one specialization or a combination of any of the specializations. Dissertation work by a pre-candidate student in Electrical and Computer Engineering program conducted under guidance of the faculty advisor. On-campus courses will be offered in the late afternoon and evening hours to enable students to earn their master's degree through part-time study. 4901 Evergreen Road. Representation of features in multidimensional space as random vectors. Previous undergraduate or graduate coursework deemed substantially similar to MSE core courses may qualify to exempt students from those core courses. The class lectures, notes, and discussions are posted on CANVAS for online students' access. Dr. Xuan Zhou is an associate professor in the department of Electrical and Computer Engineering, University of . Final Day to Submit Summer 2023 Graduate Degree Application: April 19. Students are expected to earn a B or better in every graduate course to be credited toward the degree requirements, however, a maximum of two grades of B- will be accepted. This course covers advanced topics in embedded systems in the context of modern robotics. Rapid prototyping requires a good quality 3D CAD system. Our excellence and impact comes through in the work of our two divisions. ECE590 Selected Topics 1 to 3 Credit Hours. (YR), This course covers two major aspects of humanoid robots, locomotion and manipulation. This course will cover fundamental concepts of information engineering, including theoretical concepts of how information is measured and transmitted, how information is structured and stored, how information can be compressed and decompressed, and information networks such as social networks, affiliation networks and online networks, mathematical theories of information networks. Students will be exposed to a broad range of topics including optimal power flow, Smart Grid technology, economic dispatch, unit commitment, and the impact of renewable energy on power and management systems. Students will gain experience in terms of designing, simulating and implementing electronic circuits and systems. Representative topics include: Intelligent systems design, training and evaluation, decision trees, Bayesian learning, reinforcement learning. programs accept students for both part-time and full-time study. Three lecture hours per week. This courses introduces basic components of robotic systems, selection of coordinate frames, homogeneous transformations, solutions to kinematics of manipulators, velocity and force/torque relations, dynamic equations using Euler-Lagrange formulation, obstacle avoidance and motion planning, classical controllers for manipulators and controller design using torque method, and robot simulation tools. Three lecture hours per week. University of Michigan-Dearborn alumnus with a Bachelor's in Electrical Engineering. Students will be exposed to a broad range of advanced topics including power converter topologies; DC-DC, DC-AC, AC-DC and AC-AC power conversions; advanced power semiconductor devices; large-signal and small-signal modeling of power electronics converters; controller design; magnetic design; applications of power electronics in renewable energy and power systems; and computer simulation and modeling. Bayesian decision theory, discriminant functions and supervised learning. This course will give students an introduction to power and energy management systems. The course will develop fundamental understandings for the behavior of these devices. Computer control of machines and processes. ECE665 Optimal Control Systems 3 Credit Hours. (F). This course provides an introduction to multirate digital signal processing with application in different fields of engineering, with a focus on the presentation of the theoretical foundation for all aspects of multirate digital signal processing. The student will submit a report of the project and give an oral presentation to a panel of faculty members at the close of the term. Mathematical models of physical instruments will be introduced. Three lecture hours per week. This course is intended to expose students to fundamentals of security primitives specific to CPSs and to apply them to a broad range of current and future security challenges that such systems are facing. Three hours per week. Curriculum requirement sheets and sample course sequences are available through the Office of Advising and Academic Success. This course discusses advanced topics in electronics with an emphasis on vehicle applications. ECE5252 MM Design Tools II 3 Credit Hours. For each subsytem, the discussion includes relevant methods for understanding and constructing the model of the environment or planning and controlling the motion of the robot. Advanced data communications, sensor motes, systems architecture and design, wireless communications standards and protocols, routing, security, operating systems, language support, and applications. (F, W). Practical system examples are stressed. Review of representative electronic devices and illustrative applications. in Electrical and Computer Engineering, Request for Graduate Transfer Credit application, Download the MSE-Electrical Engineering Curriculum (Effective Fall 2022), Download the MSE-Electrical Engineering Curriculum, The Regents of the University of Michigan, ECE 500 Mathematical Methods in EE and CE (Required. This course introduces important theory and modern technology in robot vision. This course addresses the basics of computer architecture including central processing architecture, instruction set design, input/output and RAID, main memory, Cache, and virtual memory. This class includes assignments to reinforce learning and uses industry leading edge hardware to simulate control and monitoring of real world scenarios. (3 credits), and any one ECE course at the graduate level. A special topics course providing an in-depth examination of one or several areas in image processing and/or machine vision. Students cannot take both ECE428 and ECE528 for degree credit. In depth study of the principles, algorithms, techniques, protocols and applications of embedded security, including secure software development, light weight cryptographic algorithms, information security protocols for embedded applications, tamper detection, automotive security, embedded network transactions, and other emerging embedded applications in the areas of loT and cyber-physical systems will be covered. This course covers selected topics in applied mathematics useful in science and engineering fields, including: solution of linear equations, polynomial interpolation and approximation, solution of nonlinear equations, roots of polynomials, resultants, approximation by orthogonal functions (includes Fourier series), ordinary differential equations, optimization, calculus of variations, probability and stochastic processes, computational geometry, and differential geometry. (F), ECE 532 Auto Sensors and Actuators (F 08), ECE 533 Active Automotive Safety Systems (SS 09). Case studies and applications. Introduction to modern digital computer logic. Three lecture hours per week. Restriction(s): Can enroll if Level is Doctorate or Rackham or Graduate or, ECE584 Speech Processes 3 Credit Hours. Exceptions beyond this deadline must have the approval of the program director. The topics include: review of information measure; random process and vector description of signals and noise; optimum receiver principles; signaling alternatives; channel capacity; block and convolutional coding; waveform estimation concepts. The MSE (EE), MSE (CE), and MSE (ESE) programs are designed so that graduates will have: a) a strong foundation the theoretical principles and techniques from science, engineering, and mathematics needed for advanced engineering design and development. Three lectures hours per week. Basic concepts of digital video will be reviewed, such as resolution and compression standards. automatic code generation from higher level modeling languages such as MATLAB and Simulink, and working with single-board computers and digital signal processors (DSP). Three lecture hours per week. Overall, an MS Degree in Electrical Engineering from the University of Michigan . Students must maintain a cumulative GPA of 3.0 or higher in every semester. Students will be exposed to a broad range of topics including data collection, data processing, and data mining for electrical power systems. ECE571 Switching Theory 3 Credit Hours. It is the responsibility of the student requesting transfer of credit to submit this completed form and an official transcript with course final grade and a copy of the course syllabus or the catalogs description. Students desiring admission to the program must have earned a Bachelor's degree in Electrical and/or Computer Engineering with an overall GPA of 3.0 or higher. The course covers important technologies relevant to intelligent vehicle systems including systems architecture, in-vehicle electronic sensors, traffic modeling and simulation. Topics include multidimensional signal analysis methodologies, signal representation, 2-D FIR filter, 2-D recursive systems and IIR filters, spectral estimation and methods, multidimensional signal restoration applications in 2-D and 3-D image processing, reconstruction, and feature estimation. Programming concepts for DSP processors such as addressing, instruction set, execution control, pipelining, parallel processing and peripherals are discussed. Three lecture hours per week. It is a project oriented course, with hands-on assignments, group projects and an individual research component. Graduate students electing the thesis option, working under the general supervision of a member of the department faculty, are expected to plan and carry out the work themselves. Topics relating to Software Development for engineering applications will be discussed. (F), Restriction(s): Can enroll if Class is GraduateCan enroll if Level is Graduate or or DoctorateCan enroll if College is Engineering and Computer Science, ECE545 Intro Robot Syst 3 Credit Hours, Full Title: Introduction to Robotic Systems ECE650 Info Theory in Elec Comm 3 Credit Hours. However, students will be expected to generalize the concepts for other CPSs. Restriction(s): Can enroll if Class is GraduateCan enroll if Level is Rackham or GraduateCan enroll if College is Engineering and Computer ScienceCan enroll if Major is Software Engineering, ECE699 Master's Thesis 3 or 6 Credit Hours. Restriction(s): Can enroll if Level is Doctorate or Rackham or Graduate or Can enroll if Major is Computer & Information Science, Computer Engineering, Software Engineering, Industrial & Systems Engin, Mechanical Engineering, Automotive Systems Engineering, Electrical Engineering, ECE5422 Grid Protection 3 Credit Hours. Manipulation will include grasping, optimal planning, and dynamic manipulation. ECE681 Adv Digital Sig Processing 3 Credit Hours. Three lecture hours per week. Review of probability and random variables. Three lecture hours per week. Thus, the data sets, performance requirements, operational environment, and need for reliability and robustness necessitate a different approach to network design. Some courses from outside ECE may not meet cognate requirement. Michigan Engineering | University of Michigan 1221 Beal Avenue. Students will be expected to read research papers and complete a project with actual robots, e.g., TurtleBots. Analysis of layout and the design of subsystems. Devices include diodes, bipolar junction transistors, MOSFETs and operational amplifiers. VHDL and commercial CAD packages for VLSI design. The goal of this course is to introduce protecting an electrical system from faults and other concerns in distribution system. Review semiconductor circuit elements in detail to model devices for circuit analysis. Dynamic models of sensors and actuators. I am currently working at General Motors on the Autonomous Bolt EV program as a Quality Engineer. The course introduces concepts in protocols and architecture of high-speed and advanced networks with an emphasis on Internet, ATM networks, wireless local area networks, cellular systems and wireless sensor networks. Lecture and assignment topics include embedded software architectures and modular software frameworks for robotics, modern computer hardware, robot perception and embedded image processing, automatic code generation from higher level modeling languages (such as MATLAB and Simulink), deployment considerations, as well as other selected advanced topics. The ECE Department offers an evening program of 30 credit hours, leading to the degree of Master of Science in Engineering (Electrical Engineering). ECE5462 Elec Aspects of Hybrid Vehicle 3 Credit Hours. The course discussed the manufacturing of discrete components, integrated circuits, hybrid circuits and modules, advances packages, printed circuit boards, optical components, and MEMS products. Prerequisite(s): (ECE570 and ECE5701) or CIS 627, ECE675 Computer Architecture II 3 Credit Hours. The course addresses enabling technologies relevant to active automotive safety systems. The course is to establish a working familiarity with the key engineering elements in the design and control of electro-mechanical systems in general and automotive systems in particular. State-identification and fault-detection experiments. Three lectures hours per week. Topics include: Transform Techniques using Fourier series, Fourier transforms, Laplace transforms and Sampling Theorem. (F,W,S), ECE980 Pre-Cand Dissertation Research 1 to 9 Credit Hours, Full Title: Pre-Candidate Dissertation Research Advanced Directed Studies for Doctoral Students: Special topic in electrical or computer engineering. (F), Prerequisite(s): ECE473 or ECE4951 or ECE554, Restriction(s): Can enroll if Class is Graduate or DoctorateCan enroll if College is Engineering and Computer Science, ECE5543 Embedded System Security 3 Credit Hours, This course introduces fundamental concepts of information security and threat models. Three lecture hours per week. This course will cover the basic issues in multimedia security and forensics and is designed to give the student hands-on experience in various aspects of information security and forensic analysis through the various assignments and projects. BS in Electrical Engineering at University Of Michigan Dearborn 2023: Check Course Fees, Eligibility, Application Deadline for Electrical Engineering at University Of Michigan Dearborn (UM Dearborn) at Yocket. A final course project is required. To introduce fundamental concepts and the electrical aspects of HEV, including the design, control, modeling, battery and other energy storage devices, and electric propulsion systems. This course covers the EMC requirements and EMC test methods for large systems. Topics may be chosen from any of the areas of electrical engineering. Study of automotive sensory requirements; types of sensors; available sensors and future needs. Then, theoretical methods for analyzing the kinematic and dynamic properties of a mobile robot are discussed, followed by the discussion on the key subsystems of a mobile robot, including perception, localization, planning and control. This course will also cover aircraft actuation, sensors and perception (GPS, inertial meansurements, ranging, and basic computer vision), sensor fusion technique, and motion control of unmanned aircraft. Kinematics will include forward and inverse kinematics and their analytical and constraints. II. Information engineering applications will be discussed. Review of discrete-time signals and systems, introduction of discrete-time random signals and variables, linear signal models, nonparametric power spectrum estimation, least-squares filtering and prediction, signal modeling and parametric spectral estimation, selected topics. Orcid identifier 0000-0001-6591-8515. All supplemental items must be submitted for an exception to be considered. The major focus of this course is to educate and train graduate students in developing research abilities through literature survey on advanced power system technologies and hands-on projects on modeling and analyzing smart grid applications. The course will cover topics such as resonant converters, vector control, field oriented control, battery chargers, vehicle to grid management, power factor correction and harmonic control, model predictive control, renewable energy systems (solar, wind and ocean) and their requirement for power converters, electric drive transportation components, silicon carbide power devices. The topics of ubiquitous and pervasive computing will be introduced and discussed. Three lecture hours per week. (F), ECE555 Stochastic Processes 3 Credit Hours. Random Variables using probability density and distribution functions, functions of a random variable, and conditional and joint probabilities. The D.Eng. Students will be exposed to advanced system design methods, modeling, simulation, and system verification and evaluation. Three lecture hours per week. Concentration Courses (9 to 11 credits), Interim Chair and Associate Professor, Electrical and Computer Engineering, Administrative Assistant Intermediate, Electrical and Computer Engineering, Student Administrative Assistant Senior, Electrical and Computer Engineering, 2050 - Institute for Advanced Vehicle Systems Building, Professional Development and Career Preparation, Industrial and Manufacturing Systems Engineering, College of Engineering and Computer Science, Dual BSE in Electrical Engineering and Computer Engineering, Ph.D. in Electrical, Electronics, and Computer Engineering, D.Eng. Students will work with various tools and techniques used by attackers to compromise active as well as passive sensors. Selected examples include applications such as voltage regulators and battery chargers. The software life Cycle. Circuits and systems: Can enroll if Class is Specialist or Graduate or ECE584. 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