university of michigan dearborn electrical engineering curriculumuniversity of michigan dearborn electrical engineering curriculum
Dr. Xuan Zhou is an associate professor in the department of Electrical and Computer Engineering, University of . ECE535 Mob Dev & Ubiqys Comp Sys 3 Credit Hours. Restriction(s): Can enroll if Major is Electrical Engineering, Manufacturing Engineering, Computer Engineering, ECE541 Sustainable Energy Systems 3 Credit Hours. The D.Eng. (W), Restriction(s): Can enroll if Level is Graduate or Rackham or DoctorateCan enroll if College is Engineering and Computer Science, ECE646 Adv Elec Drive Transportation 3 Credit Hours. This course gives in depth study in advanced technologies in the electrified vehicle powertrain. Three lecture hours per week. Enrollment in cognate courses may be dependent on prior authorization from both the non-ECE Department and the ECE department. Three lecture hours per week. Measurement, control, computation, communication, energy conversion in these and other technical areas, provide students an excellent preparation for positions of leadership in a world where science, engineering, and human relations are of basic importance in improving the quality of life. Combinational and sequential logic design, minimization of combinational and sequential circuits, functional decomposition, reliable design and fault diagnosis; incompletely specified sequential machine design, asynchronous sequential circuits and interactive methods. Students will gain experience in terms of designing, simulating and implementing electronic circuits and systems. (F). programs. Three lectures hours per week. For additional academic information please contact the ECE office. Students will be expected to read research papers and complete a project with actual robots, e.g., TurtleBots. (YR), ECE5541 Embedded Networks 3 Credit Hours. Topics will include basic flight principles of fixed-wing and rotary-wing aircraft, inertial representations in 3D space, the principles of Bayesian state estimation, visual odometry, path planning, and autonomous navigation. Includes symmetrical component calculations and use; protection coordination; network, radial and ringed system protection; central station and distributed generator protection; and an overview of emerging topics. (W). 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. The course examines modern applications of multirate digital signal processing including the design of multirate filter banks, using the wavelets transforms to efficiently encode signals for compression purposes, spectral analysis and synthesis of signals. (F,W,S). 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. (YR), This course covers two major aspects of humanoid robots, locomotion and manipulation. (F, W). This is an advanced course on power electronics and electric drives. ECE576 Information Engineering 3 Credit Hours. (F), ECE555 Stochastic Processes 3 Credit Hours. An ability to use modern engineering software, processes, devices, and diagnostic tools for advanced engineering design and development. Please confirm your cognate course selections with the ECE Department, via e-mail, prior to registering. The goal of this course is to introduce protecting an electrical system from faults and other concerns in distribution system. Topics relating to Software Development for engineering applications will be discussed. Manipulation will include grasping, optimal planning, and dynamic manipulation. (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. The course will cover basic devices and applications in Electromagnetic waves. The course addresses enabling technologies relevant to active automotive safety systems. Multi-tasking. Finally, a cumulative GPA of 3.0 or higher is required, in order to be eligible to receive the MSE (EE) degree. The focus of this class is on protection of radial fed system, fault studies and arc-flash calculations. Office of the Provost. The University of Michigan is open to prospective students from all walks of life, and we're glad you're considering us. (May not be available to students with EE or CE degrees) Three lecture hours per week. The basics of digital audio will be covered, including sampling, quantization, and compression standards. An oral presentation and a final report on the research effort are required for completion. Three hours per week. Students will gain an understanding of the language, formalism, and methods of artificial neural networks. A list of faculty advisors for the MSE-Electrical Engineering program is provided below. Students whose undergraduate background is in a field other than Electrical or Computer Engineering may be given conditional admission and required to take preparatory courses in electrical and/or computer engineering. The basic limitations and alternatives for communications signaling are studied, using appropriate mathematical tools. Three lecture hours per week. Three lecture hours per week. ECE5770 Autonomous UAS 3 Credit Hours, This course will introduce the basic concepts of autonomous unmanned aerial systems. Students will learn how to mathematically pose various pattern recognition problems and analytically derive some well-known statistical results and learning rules. Three lecture hours per week. In addition to U-M, universities involved in the scholars program include Michigan State University and Michigan Technological University. This course addresses the analysis and design of continuous time (analog) and switched-capacitor filters. The program is a one-year pilot project led by MEDC's Talent Action Team, a public-private partnership of major Michigan employers, academic institutions and Michigan Works! (F), ECE546 Electric Vehicles 3 Credit Hours. The course has substantial computer simulation and research project components. Simulation techniques and software will be introduced. Students will work with various tools and techniques used by hackers to compromise computer systems or otherwise interfere with normal operations. Minimum Grade Requirement in addition to maintaining a minimum cumulative GPA of 3.0 or higher every semester: 1. ESS (especially batter) management, power electronics in HESS and motor drive, HEV component optimization, HIL and SIL, vehicle power management future trends, and so on. Industrial and Manufacturing Systems Engineering (IMSE). (3 credits), and any one ECE course at the graduate level. major in ECE is an applied research-oriented doctoral degree designed to address the growing needs of industry for engineering professionals with advanced knowledge, technical skills, and the ability to conduct high quality applied research in electrical and computer engineering. The study of intelligent vehicle systems includes system architectures, sensors, and algorithms. Design of real time systems. Exceptions beyond this deadline must have the approval of the program director. Three lecture hours per week. The course objectives are to familiarize the students with the basic concepts of electromechanical energy conversion and electric drive systems. This course will cover existing information hiding techniques such as digital watermarking, steganography, and fingerprinting. "Automotive engineering is one of the most technologically interesting . Algorithms and methods for video and audio processing and effects will be reviewed. To introduce fundamental concepts and specifications of electric and hybrid vehicles; vehicle design fundamentals; motors for electric vehicles; controllers and power electronics; energy sources; engineering impact of electric vehicles and practical design considerations. A student gets a satisfactory grade if he/she attends at least two research seminars during the course period. 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. Three lecture hours per week. The course discussed the manufacturing of discrete components, integrated circuits, hybrid circuits and modules, advances packages, printed circuit boards, optical components, and MEMS products. 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. View on Map. Course work includes building up a SaaS project. During the 2020-2021 academic year, University of Michigan - Dearborn handed out 136 bachelor's degrees in electrical engineering. 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. A special topics course providing an in-depth examination of one or several areas in image processing and/or machine vision. Message-based operating systems. Our excellence and impact comes through in the work of our two divisions. Students cannot take both ECE428 and ECE528 for degree credit. Students will design and simulate systems encompassing important concepts presented in the course. ECE560 Modern Control Theory 3 Credit Hours. Detroit, Michigan, United States. 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 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. Three lecture hours per week. II. Devices include diodes, bipolar junction transistors, MOSFETs and operational amplifiers. Examples involving various types of applications (automotive, communications, computers) will be discussed. Students are expected to have knowledge of high-level programming language and will be required to accomplish a course project. Basic concepts of digital video will be reviewed, such as resolution and compression standards. control systems, Audio/time-series filtering (F IR and llR filters), embedded image processing, The course has three lecture hours per week. Students with inadequate background in Electrical/Computer Engineering may be required to meet with the department graduate advisor to determine the need for preparatory courses. This course addresses advances in reconfigurable computing techniques, design, and research. 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. Integrated smart sensors and actuators. 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. This course will also discuss some specific topics in robotics research, including robot manipulators, mobile and walking robots, and robot hands, in which we will see how the above principles and methods are being used together. The course will cover the sources of energy including coal, nuclear, solar, wind; their impact on the climate; and their technological characteristics in terms of availability, cost and reliability. ECE 5121 Modeling & Design of Elec Cir. The course will cover topics such as advances in Internet, wireless communications and sensor networks, wireless networked control systems, vehicular networks, smart grid, cloud computing, multimedia networking, and network security. The course will focus on intelligent systems in solving complex problems. Prerequisite(s): (ECE570 and ECE5701) or CIS 627, ECE675 Computer Architecture II 3 Credit Hours. Final Day to Submit Summer 2023 Graduate Degree Application: April 19. Vehicle power management basic concepts, vehicle propulsion system modeling, vehicle power management approaches (analytical approach, wavelet transform technology, DP&QP, and intelligent systems methods). 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. ECE650 Info Theory in Elec Comm 3 Credit Hours. Topics include: Transform Techniques using Fourier series, Fourier transforms, Laplace transforms and Sampling Theorem. to CPS Security 3 Credit Hours, This course covers introductory topics in cyber-physical systems (CPSs) security. ECE571 Switching Theory 3 Credit Hours. Estimation and learning. This course covers the EMC requirements and EMC test methods for large systems. Robot simulation technologies and tools will be introduced. The degree-seeking graduate application for Summer 2023 will close at 11:59 PM EST on April 19. The majority of these techniques are heavily based on probabilistic reasoning and optimization-two areas with wide applicability in intelligent robotic systems. Some automotive EE applications are used for case study. Permission of instructor required. Three lecture hours per week. A Master of Science Degree helps students become creative and independent researchers. EECS 351: Digital Signal Processing and Analysis. My role was to transmit and maintain all Engineering communication to . This course provides students with hands-on experience through computer-based simulation projects. program in electrical and computer engineering 8/2/2021 Doctor of Engineering programs are an increasingly popular Ph.D. alternative for working professionals who want applied research expertise. The PDF will include all information unique to this page. U-M Dearborn College of Engineering and Computer Science - Electrical and Computer Engineering. Industrial and Manufacturing Systems Engineering (IMSE), ECE 500 Mathematical Methods in EE and CE (Required unless waived. Dissertation work by a pre-candidate student in Electrical and Computer Engineering program conducted under guidance of the faculty advisor. The goal of this course is to provide a comprehensive understanding of the challenges, issues, solutions, and state-of-the-art research and best practices pertaining to the cyber-security of the modern power grids, also known as "smart power grids". 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 How speech is produced from the human vocal system and the different types of basic speech sound components is addressed, followed by methods to analyze speech signals in both the time domain and frequency domain. Basic concepts, algorithms, and standards will be covered for systems that process digital images, vector graphics, and text. This course provides graduate students with a clear understanding of the latest vehicle power management technologies with an emphasis on alternative fuel vehicles. 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. Topics include active safety system architecture, enabling technologies for such systems, and future directions. *An asterisk denotes that a course may be taken concurrently. ECE515 Vehicle Electronics II 3 Credit Hours. This course cannot be taken with ECE500. It is important that engineers are acquainted with fundamental tools and strategies for designing and building such networks. The Electrical Engineering program is also offered online throughCECS Online. I managed the PLM software (Obbligato III) on-site for our US operations. Special projects for laboratory or library investigation with the intent of developing initiative and resourcefulness. | Learn more . A final course project is required. A strong foundation the theoretical principles and techniques from science, engineering, and mathematics needed for advanced engineering design and development. Ann Arbor, MI 48109-2102 +1 (734) 647-7000 . 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. A final research course project is required. . 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. Part of the coursework involves a project concerning the analysis and design of a multimedia-based system. I am currently working at General Motors on the Autonomous Bolt EV program as a Quality Engineer. Prerequisite(s): ECE478 or CIS450 or IMSE450, ECE579 Intelligent Systems 3 Credit Hours. Introduction to stochastic processes; stationarity, ergodicity; auto correlation and cross correlation, linear systems with random inputs, spectral analysis, Wiener filtering, Kalman filtering. Cloud computing represents the emerging Internet-based services/platforms with elastic and scalable computation powers operating at costs associated with service. 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. 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