This course will give students an introduction to power electronics technology, such as converter analysis and design. Some automotive EE applications are used for case study. Students are free to develop their own specialization by selecting from any of the graduate courses listed in the ECE course list (see catalog). Representation of features in multidimensional space as random vectors. Sensing technologies including basic computer vision will be covered. (F), ECE 532 Auto Sensors and Actuators (F 08), ECE 533 Active Automotive Safety Systems (SS 09). Networks have emerged in a wide range of embedded applications (e.g. Orcid identifier 0000-0001-6591-8515. The degree is offered with a concentration area in either Data Science and Machine Learning (DS/ML), Autonomous systems (AS), or Microelectronics and Integrated Circuits (MI). Various hardware and software aspects will be introduces, with particular emphasis on the constraints intrinsic to such system. This course covers the EMC requirements and EMC test methods for large systems. agencies across the state. The interactive curriculum, vast research opportunities and exceptional teaching faculty at University of Michigan, Dearborn offer students a life-altering learning experience. 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. 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. Three lectures hours per week. Data flow computers. Three lecture hours per week. & Sys. Academic advising is primarily done by faculty advisors with expertise in the area and with the support of our knowledgeable graduate staff. The course objectives are to familiarize the students with the basic concepts of electromechanical energy conversion and electric drive systems. Three lecture hours per week. The course will focus on intelligent systems in solving complex problems. 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. Control will include the classic PID control, position and force control, and trajectory tracking. Detroit Manufacturing Systems (DMS) Sep 2022 - Present6 months. Applications of speech processing are also presented. ECE535 Mob Dev & Ubiqys Comp Sys 3 Credit Hours. Three lecture hours per week. Students in RE program must take this course in the first year. Discussion of design practices used in large installation, including component segregation, cable routing, connectors, grounding, shielding, common impedance coupling, ground planes, screening and suppression. (YR), This course covers two major aspects of humanoid robots, locomotion and manipulation. Three lecture hours per week. (Tag: Tools). (F, W). A strong foundation the theoretical principles and techniques from science, engineering, and mathematics needed for advanced engineering design and development. Students should select a minimum of 4 and a maximum of 6 credit hours of courses from other disciplines. Please be aware that CECS does not allow for course waivers. Grades below B- are not counted and no more than two B-s are allowed. EECS 334: Principles of Optics. Devices include diodes, bipolar junction transistors, MOSFETs and operational amplifiers. 1080 - Administration Building. Failure mechanisms and interconnect lifetime prediction. Students cannot receive credit for both ECE4881 and ECE588. This course will introduce students to methods and technologies of computer music. 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. 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. Finally, the requirements of EDV and renewable energy application examples will be explained. Representative topics include: Intelligent systems design, training and evaluation, decision trees, Bayesian learning, reinforcement learning. Students will design and simulate systems encompassing important concepts presented in the course. ECE569 Computer-Based Automation 3 Credit Hours. Three lecture hours per week. Students are expected to have knowledge of high-level programming language and will be required to accomplish a course project. Restriction(s): Can enroll if Class is GraduateCan enroll if Level is Rackham or Graduate, ECE525 Multimedia Data Stor & Retr 3 Credit Hours. Must be taken in the first year. A cumulative GPA of 3.0 or higher is required in order to be eligible to receive the MSE (EE) degree. 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. Three hours per week. 3135935498 (Work) . Course work includes building up a SaaS project. Orcid identifier 0000-0001-6591-8515. In CECS, we are committed to excellence. Seek out a major that aligns with your interests and values through one of our engineering programs. Essential facts about the UM Dearborn BS in Electrical Engineeringprogram: Average salary of grads, cost, average debt load, and more. Electrical engineering is one of the broadest of all engineering degrees - allowing students to move into virtually any area of their choosing. Restriction(s): Can enroll if Class is GraduateCan enroll if Major is Electrical Engineering, Computer Engineering, ECE5001 Analytic and Comp Math 3 Credit Hours, Full Title: Analytical and Computational Mathematics ECE574 Adv Sftwr Technq in Eng Appl 3 Credit Hours. This course (1) includes communication models for monitoring and controlling the electrical system, specific legacy protocols and modern approaches, such as IEC 61850, and (2) covers introductory topics in cyber-physical systems (CPSs) security for power grids. For additional academic information please contact the ECE office. 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. Clustering analysis and unsupervised learning. These embedded control networks differ from information technology (IT) networks in that the primary users are not humans, but sensors, actuators, and embedded processors. Introduction to the fundamental concepts of data mining including data exploration, pre-and post-processing, OLAP, predictive modeling, association analysis, and clustering. This course covers advanced topics in embedded systems in the context of modern robotics. Whether in the design and construction of systems to televise pictures from the planets or to insure the reliable completion of a phone call to a next-door neighbor, whether to map the geography and the resources of the earth from a satellite or to display harmlessly the internal anatomy of a living being for medical diagnosis, electrical engineering is intimately involved with almost every realm of human endeavor. This university ranks 17th out of 57 schools for overall quality in the state of Michigan. Fundamentally, electrical engineering deals with the controlled application of electricity to the solution of real problems. 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. Mathematical models of physical instruments will be introduced. An oral presentation and a final report on the research effort are required for completion. For a complete list of ECE courses please view the Course Descriptions later in this Catalog. to CPS Security 3 Credit Hours, This course covers introductory topics in cyber-physical systems (CPSs) security. ECE586 Digital Image Processing 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. Novi, MI. Three lecture hours per week. Basic concepts, algorithms, and standards will be covered for systems that process digital images, vector graphics, and text. 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 cover computer simulations of various neural network models and simulations. (F,YR), ECE5545 Sec. Three lecture hours per week. Three lecture hours per week. Review semiconductor circuit elements in detail to model devices for circuit analysis. 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. This includes such things as motors, transistors, integrated circuits, and lasers as well as larger physical systems for which these are components: electrical power generating and distribution systems, communication networks, and computers. The course covers such topics innovative multimedia interfaces, design ethics, psychological principles, cognitive models, interaction principles, requirements analysis, project management, I/O devices, standards and styles guides, and visual design principles. Detroit, Michigan, United States. (W). Mar 2009 - Aug 202213 years 6 months. Bayesian decision theory, discriminant functions and supervised learning. (May not be available to students with EE or CE degrees) Three lecture hours per week. Models and relevant parameters of display technologies (video and printer) will be discussed. Self guided lab assignments. 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. 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. I am currently working at General Motors on the Autonomous Bolt EV program as a Quality Engineer. 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. Respected. Advanced Directed Studies for Doctoral Students: Special topic in electrical or computer engineering. The class lectures, notes, and discussions are posted on CANVAS for online students' access. Representative topics are sensors and image formation, advanced algorithms in object feature filtering, extraction and recognition, texture and colors, motion, 3D vision, and applications. (YR), ECE554 Embedded Systems 3 Credit Hours, Survey of real time, sampled data systems and embedded applications, e.g. Review of representative electronic devices and illustrative applications. This course introduces the architectural fundamentals and features of programmable digital signal processors. Classification of electromagnetic environments will also be discussed. 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. These are partial lists and will be expanded and updated from time to time. Minimum Grade Requirement in addition to maintaining a minimum cumulative GPA of 3.0 or higher every semester: 1. Information engineering applications will be discussed. The purpose of this course is to provide students with advanced techniques for generation and control of movement of a humanoid robot itself and its motion to change the environment. ECE566 Mechatronics 3 Credit Hours. 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". 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. Articulated body dynamics, contact modeling, and contact dynamics will be presented first. The study of intelligent vehicle systems includes system architectures, sensors, and algorithms. *An asterisk denotes that a course may be taken concurrently. Three lecture hours per week. In terms of art and media, students will learn the basics of human perception, communication, and aesthetics. (AY). (W.YR), Restriction(s): Can enroll if Level is Doctorate or Rackham or Graduate, ECE5544 Intro. Effect of tolerances of circuit elements on the performance of the circuit behavior will be analyzed. ECE591 Directed Studies 1 to 3 Credit Hours. Random Variables using probability density and distribution functions, functions of a random variable, and conditional and joint probabilities. This course is designed to provide a broad overview of the engineering, art, and business of developing multimedia systems. Students will apply software tools to analyze, design and simulate multirate digital signal processing systems. Restriction(s): Can enroll if Major is Electrical Engineering, Manufacturing Engineering, Computer Engineering, ECE541 Sustainable Energy Systems 3 Credit Hours. (F), ECE546 Electric Vehicles 3 Credit Hours. Restriction(s): Can enroll if Level is Rackham or GraduateCan enroll if Major is Software Engineering, Industrial & Systems Engin, Mechanical Engineering, Computer Engineering, Electrical Engineering, ECE505 Intro to Embedded Systems 3 Credit Hours. State-identification and fault-detection experiments. This course introduces important theory and modern technology in robot vision. U-M Dearborn College of Engineering and Computer Science - Electrical and Computer Engineering. The electrical engineering program prepares a student to select from a broad range of career possibilities in design, development, manufacturing, sales, administration, and research. Advances in computer architecture. A final course project is required. Students will work with various tools and techniques used by attackers to compromise active as well as passive sensors. A project report and a seminar are required. A final research course project is required. All three courses may be taken from one specialization or a combination of any of the specializations. Students who have satisfied all conditions for full or conditional admission and are enrolled in good standing in their graduate program may be eligible to transfer up to a maximum of 6 credit hours of related graduate-level courses from other accredited degree-granting universities with graduate degree programs. Selected multimedia applications will be discussed and students will be required to work on a project related to multimedia applications such as advertising and marketing, education and training, entertainment, medicine, surveillance, wearable computing, biometrics, and remote sensing. ECE585 Pattern Recognition 3 Credit Hours. (W), ECE644 Advanced Robotics 3 Credit Hours, This course covers advanced topics related to current research in algorithms and artificial intelligence for robotics such as planning and control issues for robotic systems, taking into account the math and algorithms underneath state-of-the-art robotic systems. The topics covered in this course include DC machines, permanent magnet AC machines, induction machines, and switched reluctance motors and drives. The University of Michigan, Dearborn campus operates one main suburban campus with an estimated land size of just over 200 acres along with the subordinating Fairlane Campus containing the Fairlane Center North (FCN) and the Fairlane Center South (FCS) amongst a few other buildings. Topics include active safety system architecture, enabling technologies for such systems, and future directions. signal processing and control concepts. Restriction(s): Can enroll if Level is Doctorate or Rackham or Graduate or Can enroll if Major is Computer Engineering, Electrical Engineering, Software Engineering, Industrial & Systems Engin, Information Sys Engineering, Mechanical Engineering, Automotive Systems Engineering, Engineering Management, ECE581 Arch for Digital Signal Proc 3 Credit Hours. ECE679 Adv Intelligent Sys 3 Credit Hours. 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 ScienceCan enroll if Major is Computer & Information Science, Computer Engineering, Energy Systems Engineering, Industrial & Systems Engin, Mechanical Engineering, Software Engineering, Automotive Systems Engineering, Electrical Engineering, ECE531 Intelligent Vehicle Systems 3 Credit Hours. RISC computers. Three lecture hours per week. Principles and characteristics of embedded micro-processors: processor/device interfaces; time critical I/O handling; data communications in embedded environments. Simulation techniques and software will be introduced. Restriction(s): Can enroll if Class is Graduate or DoctorateCan enroll if Level is Doctorate or Rackham or Graduate or Can enroll if Major is Electrical Engineering, Computer Engineering, ECE524 Interactive Media 3 Credit Hours. (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 Today's electrical engineer is a leader among those who work toward making our world better. Courses in which grades of C- or below are earned cannot be used to fulfill degree requirements. ), Restriction(s): Can enroll if Class is GraduateCannot enroll if Major is Electrical Engineering, Computer Engineering, ECE512 Analog Filter Design 3 Credit Hours. This course will cover the software and hardware widely used in the rapid prototyping, including Stereolithography (SLA) and virtual reality software and hardware used for rapid prototyping. 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. 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. (F). (F), Restriction(s): Can enroll if College is Engineering and Computer Science, ECE502 Electromag Theory & Simul 3 Credit Hours. 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. The course discussed the manufacturing of discrete components, integrated circuits, hybrid circuits and modules, advances packages, printed circuit boards, optical components, and MEMS products. Three lecture hours per week. . Three lecture hours per week. These may include data structures, algorithm complexity, personal software development process, team software process, Six sigma, DFSS, software techniques, software engineering application, and software design. The course will focus on vehicular communications and networking, autonomous vehicles and intelligent transportation systems, robotics networks, and smart grids. 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. Topics include cyberspaces, techniques for generating virtual worlds in engineering applications, building blocks of virtual environments including hardware and software. ECE515 Vehicle Electronics II 3 Credit Hours. ECE650 Info Theory in Elec Comm 3 Credit Hours. Eng.) Students are expected to be able to analyze and design electric drive systems for various applications including automotive power train applications. Algorithms and methods for video and audio processing and effects will be reviewed. This course covers advanced technologies in power electronics with emphasis on hybrid vehicle and renewable applications. Electrical engineering is a dynamic and progressive branch of the engineering profession which has pioneered the development of the modern science-oriented engineering curriculum. Dynamic models of sensors and actuators. Pipelining, vector processing, and array processing techniques. ECE620 Sensor Security and Data Integrity Validation 3 Credit Hours. Team oriented course project to provide hands-on experience may be required. ECE5802 Multirate Sig Proc w/Appl 3 Credit Hours. EECS 398: SPECIAL TOPICS COURSES: All Current and Past Offerings. . Current trends in operating system design. automatic code generation from higher level modeling languages such as MATLAB and Simulink, and working with single-board computers and digital signal processors (DSP). Restriction(s): Can enroll if Level is Graduate or or DoctorateCan enroll if Major is Computer & Information Science, Computer Engineering, Electrical Engineering, Software Engineering, Information Sys Engineering, Mechanical Engineering, Automotive Systems Engineering, Industrial & Systems Engin, ECE5425 Fundamentals of Power Electronics 3 Credit Hours. Object of this course is to introduce current techniques information security in general and multimedia security in particular. ECE553 Sftware/Hrdware Rapid Protyp 3 Credit Hours, Rapid prototyping technology is primarily aimed at reducing the lead times and costs associated with new product development. Complete ECE 505 and ECE 510 as directed by the ECE Department if undergraduate degree is not in Electrical Engineering/Computer Engineering disciplines. Embedded specification and design techniques. Finally, students will work on related applications employing digital signal processors such as speech processing, instrumentation, and image processing. . The BSE in Electrical Engineering program is accredited by the Engineering Accreditation Commission of ABET, http://www.abet.org/. Three hours per week. The University of Michigan is open to prospective students from all walks of life, and we're glad you're considering us. programs. The curriculum covers analog and digital circuits, microprocessors, power systems, electrical components and how these are incorporated into sensors, actuators and computer systems. ECE527 Multimedia Secur & Forensics 3 Credit Hours. Monochrome and color vision in man and machines, image quantization edge detection, image enhancement, image restoration, color analysis and processing, multispectral image processing, texture analysis, image coding and compression, morphology, geometrical image modifications. Restriction(s): Can enroll if Level is Doctorate or Rackham or Graduate or Can enroll if Major is Electrical Engineering, Computer Engineering, ECE514 VLSI Design 3 Credit Hours. Nuclear Engineering & Radiological Sciences. Dearborn, MI 48128. Students will get an overview of various mobile operating systems and will learn how to develop software for mobile devices. 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. A team-based term project may be required. Permission of instructor required. 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university of michigan dearborn electrical engineering curriculum