The goal of this course is to introduce protecting an electrical system from faults and other concerns in distribution system. The key engineering elements include microprocessor technology, electronics, sensors and actuators, data communication and interface, control algorithms, and mechanisms of machine elements. 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. 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. Exceptions beyond this deadline must have the approval of the program director. Making a world of difference. Representation of features in multidimensional space as random vectors. Three lecture hours per week. Using interactive graphics in process system design. For additional academic information please contact the ECE office. Our excellence and impact comes through in the work of our two divisions. It is also concerned with the flow of electricity in the human body and with the transmission of signals between planets. (F), ECE546 Electric Vehicles 3 Credit Hours. Various analysis tools will be covered, including the Fourier transform and windowing techniques. ECE519 Adv Topics in EMC 3 Credit Hours. ECE566 Mechatronics 3 Credit Hours. programs. The University of Michigan is open to prospective students from all walks of life, and we're glad you're considering us. All projects must be undertaken with one or more students under the supervision of the instructor. We've pulled together some statistics and other details to help you see how the EE program at University of Michigan - Dearborn stacks up to those at other schools.. UM Dearborn is located in Dearborn, Michigan and approximately 8,783 students attend the school each year. Students will design and simulate systems encompassing important concepts presented in the course. The course will develop fundamental understandings for the behavior of these devices. Three lecture hours per week. Three hours per week. Three lecture hours per week. ECE620 Sensor Security and Data Integrity Validation 3 Credit Hours. This course discusses advanced topics in electronics with an emphasis on vehicle applications. Course includes lectures and case studies. Additional cognate options may be approved by the ECE department. Battery management, battery charging, and battery safety will be covered. This course introduces the architectural fundamentals and features of programmable digital signal processors. Associate processors. The D.Eng. Study of automotive sensory requirements; types of sensors; available sensors and future needs. This course will introduce students to methods and technologies of computer music. The course has three lecture hours per week. Three lecture hours per week. The PDF will include all information unique to this page. In terms of technical and engineering issues, students will learn basic data analysis techniques and computer programming tools. Course work includes building up a SaaS project. Models and relevant parameters of display technologies (video and printer) will be discussed. (YR), ECE5541 Embedded Networks 3 Credit Hours. Students are expected to have knowledge of high-level programming language and will be required to accomplish a research-related course project. (F, W). This course will introduce students to multimedia design tools for dynamic media (video and audio). Restriction(s): Can enroll if Level is Doctorate or Specialist or Graduate or, ECE5542 Embedded Sig Proc and Control 3 Credit Hours, This course bridges the gap between embedded software engineering principles and theoretical Essential facts about the UM Dearborn BS in Electrical Engineeringprogram: Average salary of grads, cost, average debt load, and more. 1080 - Administration Building. Exemptions and transfer credit are granted at the discretion of the program chair. 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. The course addresses enabling technologies relevant to active automotive safety systems. The software life Cycle. Students will gain understanding of the language, formalism, and methods of pattern recognition. . Restriction(s): Can enroll if Class is GraduateCan enroll if Level is Doctorate or Rackham or Graduate or Can enroll if Major is Mechanical Engineering, Electrical Engineering, Industrial & Systems Engin, Computer & Information Science, Computer Engineering, ECE614 Ctrl Networks for Embedded Sys 3 Credit Hours. 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. Lead acid, nickel metal hydride, and lithium ion batteries will be covered. 2. Networks have emerged in a wide range of embedded applications (e.g. Jobs: Most of the recruiters coming to Michigan are looking for electrical engineers, and are willing to pay them among the highest salaries. Three lecture hours per week. 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. This is a research seminar on advanced topics in intelligent systems. Failure mechanisms and interconnect lifetime prediction. Effect of tolerances of circuit elements on the performance of the circuit behavior will be analyzed. 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. A final research course project is required. Detroit Manufacturing Systems (DMS) Sep 2022 - Present6 months. 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. ECE592 Directed Research 1 to 3 Credit Hours, Special problems centered on developing experimental skills. Case Studies will be presented to illustrate a variety of applications. ECE515 Vehicle Electronics II 3 Credit Hours. Three lecture hours per week. 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. Restriction(s): Can enroll if Major is Electrical Engineering, Computer Engineering, ECE552 Fuzzy Systems 3 Credit Hours. Minimum Grade Requirement in addition to maintaining a minimum cumulative GPA of 3.0 or higher every semester: 1. Complete ECE 505 and ECE 510 as directed by the ECE Department if undergraduate degree is not in Electrical Engineering/Computer Engineering disciplines. Locomotion will cover balance control, footstep planning, walking gait generation, joint space trajectory planning, and human motion tracking. ECE567 Nonlinear Control Systems 3 Credit Hours. (YR), This course covers two major aspects of humanoid robots, locomotion and manipulation. Clustering analysis and unsupervised learning. It is important that engineers are acquainted with fundamental tools and strategies for designing and building such networks. Industrial and Manufacturing Systems Engineering (IMSE), ECE 500 Mathematical Methods in EE and CE (Required unless waived. Three lecture hours per week. Three lecture hours per week. Review semiconductor circuit elements in detail to model devices for circuit analysis. An approved course exemption does not reduce the total number of credit hours needed to satisfy program requirements. Three lecture hours per week. 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. Topics may be chosen from any of the areas of electrical engineering. Michigan Engineering | University of Michigan 1221 Beal Avenue. This course will build the skills needed to design and test the protocols, policies, and specifications for enabling technologies that will guarantee the security and integrity of the smart power grid while preserving personal privacy. A final course project is required. Students are free to develop their own specialization by selecting from any of the graduate courses listed in the ECE course list (see catalog). Formal models of operating systems. Topics include: Transform Techniques using Fourier series, Fourier transforms, Laplace transforms and Sampling Theorem. Object of this course is to introduce current techniques information security in general and multimedia security in particular. Exempted courses must be replaced with ECE courses from within the degree program. This class will introduce students to the technology used in mobile/smart devices and mobile communication networks. Three lecture hours per week. Basic concepts, algorithms, and standards will be covered for systems that process digital images, vector graphics, and text. 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. ECE5701 Intro to Wireless Comm 3 Credit Hours. The curriculum covers analog and digital circuits, microprocessors, power systems, electrical components and how these are incorporated into sensors, actuators and computer systems. programs accept students for both part-time and full-time study. 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.) Students in RE program must take this course in the first year. ECE527 Multimedia Secur & Forensics 3 Credit Hours. (F,W,S), Restriction(s): Can enroll if Level is or DoctorateCan enroll if Major is, ECE990 Doctoral Dissertation 1 to 9 Credit Hours, Full Title: Doctoral Dissertation Research Parameter optimization; optimization problems for deterministic systems; calculus of variations on optimal control; maximum principle of Pontryagin; dynamic programming; numerical solution of optimal programming and control problems; singular solutions. However, students will be expected to generalize the concepts for other CPSs. The basic limitations and alternatives for communications signaling are studied, using appropriate mathematical tools. Bayesian decision theory, discriminant functions and supervised learning. College of Education, Health, and Human Services, College of Engineering & Computer Science, Automotive Noise, Vibration and Harshness, Electrical, Electronics, and Computer Engineering, Engineering of Electrified Vehicular Systems, Intelligent Systems in Engineering Applications, CollegeofEngineering&ComputerScience, The Regents of the University of Michigan. ECE528 Cloud Computing 3 Credit Hours. ECE507 Intro to Multimedia Sys 3 Credit Hours. Three lecture hours per week. Embedded specification and design techniques. The course has substantial computer simulation and research project components. Finally, the requirements of EDV and renewable energy application examples will be explained. Examples of current protocols and architectures of wireless data and voice networks are studied. Review of probability and random variables. 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. The course is intended to provide an overview of information security, CPS security, risk assessment and mitigation, network security, attack-resiliency for bulk power systems, attack surface analysis and reduction techniques, cyber-security testbeds, security standards and best practices for critical infrastructure, e.g., smart power grids. These are partial lists and will be expanded and updated from time to time. 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