Various hardware and software aspects will be introduces, with particular emphasis on the constraints intrinsic to such system. ECE589 Multidimen Digital Signal Proc 3 Credit Hours. Three lecture hours per week. Much of the course addresses Industrial Control Systems and smart grids. ECE565 Digital Control Systems 3 Credit Hours. ECE528 Cloud Computing 3 Credit Hours. (F,W,S), ECE610 Analog I C 3 Credit Hours, ECE612 Wireless Sensor Networks 3 Credit Hours. The course introduces the fundamentals of speech processing using digital signal processing methods and techniques. It will cover battery basics, ultracapacitors, flywheels, and hybrid energy storage concepts. Project oriented course. Enrollment in cognate courses may be dependent on prior authorization from both the non-ECE Department and the ECE department. The ECE Department offers an evening program of 30 credit hours, leading to the degree of Master of Science in Engineering (Electrical Engineering). Numeric representations and arithmetic concepts are discussed, which include fixed-point and floating-point representation of numbers, native data word width, and IEE-754 floating-point representation. Three lecture hours per week. Students seeking transfer credit must abide by the criteria for transferring credit for masters programs as outlined on the Request for Graduate Transfer Credit application and in accordance with the campuss Transfer Credit Policy. Please confirm your cognate course selections with the ECE Department, via e-mail, prior to registering. Applications of PR. This course covers more advanced topics including a focus on networked and ringed systems, generation protection, grounding and protecting distribution networks with two-way power flow. Restriction(s): Can enroll if Class is Graduate or DoctorateCannot enroll if Major is, ECE536 All Weather Automotive Vision 3 Credit Hours. The basics of digital audio will be covered, including sampling, quantization, and compression standards. Must be taken in the first year) (F), ECE 580 Digital Signal Processing (F, W, SS), ECE 5831 Pattern Recognition and Neural Networks (W), ECE 529 Introduction to Computer Music (W 10), ECE 5121 Modeling & Design of Elec Cir. Robot simulation technologies and tools will be introduced. Students will apply software tools to analyze, design and simulate multirate digital signal processing systems. Topics include statistical signal processing, multi-rate systems, bank of filter design, multi-resolution formation of wavelet, the discrete wavelet transform, wavelet-based digital signal processing. This course will provide an introduction to computer and human interface and AI, user-interface design from design principles and cognitive perspectives. . Associate Professor. Restriction(s): Can enroll if Class is GraduateCan enroll if Level is Doctorate or Rackham or Graduate or Can enroll if College is Engineering and Computer Science, ECE5421 Grid Communication and System 3 Credit Hours. The course will develop fundamental understandings for the behavior of these devices. The University of Michigan is open to prospective students from all walks of life, and we're glad you're considering us. 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. Locomotion will cover balance control, footstep planning, walking gait generation, joint space trajectory planning, and human motion tracking. Three lecture hours per week. Three lecture hours per week. (F, W). Design circuits such as switching circuits, power suppliers, amplifiers, oscillators, non-linear circuits. ECE571 Switching Theory 3 Credit Hours. The Electrical Engineering program is also offered online throughCECS Online. ECE650 Info Theory in Elec Comm 3 Credit Hours. 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. Kinematics will include forward and inverse kinematics and their analytical and constraints. Topics include cyberspaces, techniques for generating virtual worlds in engineering applications, building blocks of virtual environments including hardware and software. Three hours per week. Logic design and testing of VLSI circuits. Restriction(s): Can enroll if Class is GraduateCan enroll if Level is Doctorate or Rackham or Graduate or Can enroll if Major is Computer Engineering, Software Engineering, Industrial & Systems Engin, Mechanical Engineering, Computer & Information Science, Electrical Engineering, ECE691 Adv Directed Studies 1 to 3 Credit Hours. UM-Dearborn launches D.Eng. ECE517 Adv Pwr Electrncs&Motor Drvs 3 Credit Hours. Starting with rigid body motion, we will learn a systematic way to describe a robot system that consists of multiple links connected through different kinds of joints. Deterministic and nondeterministic finite state machine identification. The course objectives are to familiarize the students with the basic concepts of electromechanical energy conversion and electric drive systems. 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. Electrical and Computer Engineering 2050 - Institute for Advanced Vehicle Systems Building 4901 Evergreen Road Dearborn, MI 48128 View on Map Phone: 313-593-5420 umd-ecegrad@umich.edu Office Hours Sunday: Closed Monday: 9:00 am-5:00 pm Tuesday: 9:00 am-5:00 pm Wednesday: 9:00 am-5:00 pm Thursday: 9:00 am-5:00 pm Friday: 9:00 am-5:00 pm RISC computers. Fundamentally, electrical engineering deals with the controlled application of electricity to the solution of real problems. A study of the concept of fuzzy set theory including operations on fuzzy sets, fuzzy relations, fuzzy measures, fuzzy logic, with an emphasis on engineering application. This class will introduce students to the technology used in mobile/smart devices and mobile communication networks. Three lecture hours per week. Restriction(s): Can enroll if Class is GraduateCan enroll if Major is Software Engineering, Electrical Engineering, Computer & Information Science, Computer Engineering, ECE5251 MM Design Tools I 3 Credit Hours. Students will design and simulate systems encompassing important concepts presented in the course. 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. ECE519 Adv Topics in EMC 3 Credit Hours. 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. The College of Engineering and Computer Science (CECS) offers 6 doctoral programs: 4 full-time Ph.D. programs and two Doctor of Engineering (D. 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. Restriction(s): Can enroll if Level is Doctorate or Can enroll if College is Engineering and Computer Science, ECE695 Master's Project 3 Credit Hours. Permission of instructor required. The course will cover topics such as hybrid powertrain architectures, dynamics of hybrid transmissions, battery management systems, battery control electronics, PHEV and HEV power management, survivability of military hybrid vehicles, packaging of PHEV electric drive components, optimization of PHEV components, optimization of electric drive efficiency through power management, vehicle to grid technology, emerging technology in electric drive transportation. Three lecture hours per week. Introduction to pattern recognition (PR) as a process of data analysis. Minimal state space models, on-line estimation schemes, parameter convergence for SISO and MIMO systems, direct and indirect adaptive prediction, minimum prediction error controllers (one-step ahead and model reference control), minimum prediction error adaptive controllers (direct and indirect approach), adaptive control algorithms for close-loop pole assignment, Kalman filter, extended Kalman filter. (Tag: Tools). The purpose of this course is NOT to teach students how to become hackers, but rather to teach them about threat models and attack vectors for cyber-physical systems so that they can develop countermeasures to defend against threats. ECE569 Computer-Based Automation 3 Credit Hours. Three hours per week. Restriction(s): Can enroll if Level is Doctorate or Rackham or Graduate or Can enroll if Major is Software Engineering, Electrical Engineering, Computer & Information Science, Computer Engineering, ECE5791 Vehicle Power Management 3 Credit Hours. Students will be exposed to advanced system design methods, modeling, simulation, and system verification and evaluation. Students will learn how to mathematically pose various pattern recognition problems and analytically derive some well-known statistical results and learning rules. The program may be completed entirely on campus, entirely online, or through a combination of on-campus and online courses. Students whose undergraduate background is in a field other than Electrical or Computer Engineering may be granted admission and required to take preparatory courses in electrical and/or computer engineering. architectures, real-time principles and concerns, sensor and actuator interfacing, PIO feedback Dissertation work by a Ph.D. candidate in Electrical and Computer Engineering program conducted under guidance of the faculty advisor. Required unless waived. ECE679 Adv Intelligent Sys 3 Credit Hours. 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. A team-based term project may be required. Electrical Engineering and Computer Science (EECS) Among the leading departments of its kind in the nation, EECS is creating the technology that puts the "smart" into electronics. The majority of these techniques are heavily based on probabilistic reasoning and optimization-two areas with wide applicability in intelligent robotic systems. It is a research-oriented course including a research literature survey, a final project implementing a state-of-the-art algorithm or system, and a set of hands-on assignments that cover modern tools and real-time embedded systems development frameworks such as the Robot Operating System. Students will use simulation tools to design filters and verify circuit performance. Review of representative electronic devices and illustrative applications. Three lecture hours per week. ECE5252 MM Design Tools II 3 Credit Hours. Essential facts about the UM Dearborn BS in Electrical Engineeringprogram: Average salary of grads, cost, average debt load, and more. Three lecture hours per week. It will include ignition systems and controls, amplifiers, frequency characteristics of electronic circuits, feedback in electronic systems and stability, power electronics and motor drive controls (DC/DC and DC/AC converters) and EMC issues. 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. This course also focuses on the analysis of algorithms commonly used for of data mining applications, mining structured, semi-structured and unstructured data, stream data, and web data. agencies across the state. A special topics course providing an in-depth examination of one or several areas in image processing and/or machine vision. An ability to use modern engineering software, processes, devices, and diagnostic tools for advanced engineering design and development. Term project. ECE535 Mob Dev & Ubiqys Comp Sys 3 Credit Hours. Associate processors. Topics include ensemble techniques, multi-objective optimization, and intelligent agents. Discussion of large signal and small signal (ac) models, frequency effects and non-ideal models. programs accept students for both part-time and full-time study. Making a world of difference. Effect of tolerances of circuit elements on the performance of the circuit behavior will be analyzed. Dearborn, MI 48128. Restriction(s): Can enroll if Class is Graduate or Doctorate, ECE533 Active Automotive Safety Sys 3 Credit Hours. Standard software engineering documents must be prepared and approved at each phase of the project, and an oral presentation of the project is required. Feature extraction and selection. ECE516 Electronic Materials & IC Proc 3 Credit Hours. This course is designed to provide a broad overview of the engineering, art, and business of developing multimedia systems. 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. (F). Advanced data communications, sensor motes, systems architecture and design, wireless communications standards and protocols, routing, security, operating systems, language support, and applications. Prerequisite(s): ECE478 or CIS450 or IMSE450, ECE579 Intelligent Systems 3 Credit Hours. The basic limitations and alternatives for communications signaling are studied, using appropriate mathematical tools. This course will give students an introduction to power electronics technology, such as converter analysis and design. Topics of the course include advanced web technologies, distributed computing models and technologies, software as a service (SaaS), virtualization, pallelization, security/privacy and the advance in cloud computing. Course includes lectures and case studies. Operating systems for parallel architectures. Special projects for laboratory or library investigation with the intent of developing initiative and resourcefulness. The ECE Department offers an evening program of 30 credit hours, leading to the degree of Master of Science in Engineering (Electrical Engineering). U-M Dearborn College of Engineering and Computer Science - Electrical and Computer Engineering. Please confirm your cognate course selections with the ECE Department, via e-mail, prior to registering. Students may be placed on probation, if their cumulative GPA falls below 3.0. Topics may be chosen from any of the areas of electrical engineering. & Privacy for Smart Grids 3 Credit Hours, Full Course Title: Security and Privacy for Smart Grids Discussion of design practices used in large installation, including component segregation, cable routing, connectors, grounding, shielding, common impedance coupling, ground planes, screening and suppression. Enrollment in cognate courses may be dependent on prior authorization from both the non-ECE Department and the ECE department. The course has substantial computer simulation and research project components. Students may complete the professional elective requirements in several ways: Students are required to select 6 credit hours of graduate-level courses from other non-ECE engineering disciplines, such as: Students may also select any 500-level course from the mathematics & statistics department (MATH, STAT), excluding math subject courses for educators (MATH 508, 5386, 5387, 543, 544, 5440, 5441, 5442, 5443, 5445, 545, 546, 549, 586, 591). Restriction(s): Can enroll if Class is GraduateCan enroll if Major is Computer Engineering, Electrical Engineering, Computer & Information Science, ECE582 Intro to Statistical DSP 3 Credit Hours. A cumulative GPA of 3.0 or higher is required in order to be eligible to receive the MSE (EE) degree. Layered techniques in operating systems. ECE507 Intro to Multimedia Sys 3 Credit Hours. Three lecture hours per week. Three hours per week. 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