university of michigan dearborn electrical engineering curriculum

ECE620 Sensor Security and Data Integrity Validation 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. Three lecture hours per week. 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. Detroit, Michigan, United States. 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. 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. Restriction(s): Can enroll if Level is Doctorate or Rackham or Graduate or Can enroll if Major is Computer & Information Science, Computer Engineering, Electrical Engineering, Software Engineering, Information Sys Engineering, Mechanical Engineering, Automotive Systems Engineering, Industrial & Systems Engin, ECE5424 Data Analytics and Machine Learning for Power Systems 3 Credit Hours. This course will provide an introduction to computer and human interface and AI, user-interface design from design principles and cognitive perspectives. Topics include cyberspaces, techniques for generating virtual worlds in engineering applications, building blocks of virtual environments including hardware and software. Phone: 313-593-5030. The purpose of this course is to let students get familiar with the traditional mathematical description of a robotic system and understand fundamental concepts and principles in robotics, to enable students to derive equations of motion for robotic systems, analyze their kinematic and dynamic properties, and design control strategies, and also to have students gain knowledge and experience about commonly-used robotic systems and mechanisms. 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. Novi, MI. 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. Restriction(s): Can enroll if Class is GraduateCan enroll if Level is Rackham or Graduate, ECE525 Multimedia Data Stor & Retr 3 Credit Hours. agencies across the state. In addition to U-M, universities involved in the scholars program include Michigan State University and Michigan Technological University. Restriction(s): Can 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, Software Engineering, Industrial & Systems Engin, Information Sys Engineering, Mechanical Engineering, Automotive Systems Engineering, Electrical Engineering, ECE615 Advanced Power Electronics 3 Credit Hours. 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. Integrated smart sensors and actuators. 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. (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. Dissertation work by a pre-candidate student in Electrical and Computer Engineering program conducted under guidance of the faculty advisor. ECE585 Pattern Recognition 3 Credit Hours. Detroit Manufacturing Systems (DMS) Sep 2022 - Present6 months. (F, W). The PDF will include all information unique to this page. Students cannot take both ECE415 and ECE5425 for degree credit. Classification of electromagnetic environments will also be discussed. Please be aware that CECS does not allow for course waivers. The course will be organized as a combination of conventional lectures, workshops-style discussion, and design review sessions. ECE650 Info Theory in Elec Comm 3 Credit Hours. Are you Xuan Zhou? A strong foundation the theoretical principles and techniques from science, engineering, and mathematics needed for advanced engineering design and development. 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.) (F), Restriction(s): Can enroll if College is Engineering and Computer Science, ECE502 Electromag Theory & Simul 3 Credit Hours. ECE515 Vehicle Electronics II 3 Credit Hours. Elect the thesis ECE 699 (6 credits) to work under the supervision of a faculty advisor; Take direct study by ECE 591 (3 credits), and one ECE course at the graduate level; Complete ECE 505 and ECE 510 as directed by ECE Department if undergraduate degree is not in Electrical Engineering/Computer Engineering disciplines; Take two additional ECE courses at the graduate level. Message-based operating systems. Examples of current protocols and architectures of wireless data and voice networks are studied. View the University of Michigan profile of Xuan Zhou. 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 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. Case Studies will be presented to illustrate a variety of applications. My role was to transmit and maintain all Engineering communication to . Various analysis tools will be covered, including the Fourier transform and windowing techniques. 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. EECS 330: Electromagnetics II. Real Time Kernels. Courses in which grades of C- or below are earned cannot be used to fulfill degree requirements. During the 2020-2021 academic year, University of Michigan - Dearborn handed out 136 bachelor's degrees in electrical engineering. Vehicle power management basic concepts, vehicle propulsion system modeling, vehicle power management approaches (analytical approach, wavelet transform technology, DP&QP, and intelligent systems methods). 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. Industrial and Manufacturing Systems Engineering (IMSE). (F). Please check with the ECE Department prior to registering. Three lecture hours per week. Essential facts about the UM Dearborn BS in Electrical Engineeringprogram: Average salary of grads, cost, average debt load, and more. 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. 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. Formal models of operating systems. Analysis of layout and the design of subsystems. Source models and source coding, channel and channel models, information measure, mutual information and entropy, coding for discrete sources such as variable-length codes and optimum variable-length encoding procedure, discrete memoryless channels and capacity, techniques for coding and decoding such as parity-check codes, cyclic codes, and Hamming codes, quantization and error analysis, coding techniques such as DPCM, run-length coding, sub-band coding, transform coding. State-identification and fault-detection experiments. EECS at Michigan Established. The basic limitations and alternatives for communications signaling are studied, using appropriate mathematical tools. EECS 373: Introduction to Embedded System Design ( video overview) EECS 381: Object-Oriented and Advanced Programming. The course will develop fundamental understandings for the behavior of these devices. 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. Three lecture hours per week. Pipelining, vector processing, and array processing techniques. UM Dearborn is a moderately-sized public university located in the midsize city of Dearborn. to CPS Security 3 Credit Hours, This course covers introductory topics in cyber-physical systems (CPSs) security. 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. However, students may petition for course exemptions in instances where a core course in a graduate program may not be available, may no longer be offered due to program changes, or the student may have taken a course with equivalent content. Real TIme Memory management.. The course has substantial computer simulation and research project components. Manipulation will include grasping, optimal planning, and dynamic manipulation. A term project may be required. 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. This course will give students an introduction to power electronics technology, such as converter analysis and design. This course provides students with hands-on experience through computer-based simulation projects. Three lecture hours per week. Electrical engineering is a dynamic and progressive branch of the engineering profession which has pioneered the development of the modern science-oriented engineering curriculum. Parallel and non-Von Neumann architectures. Edit your . Three lecture hours per week. A project is required. Exceptions beyond this deadline must have the approval of the program director. This class will introduce students to the technology used in mobile/smart devices and mobile communication networks. Core Courses (Select 3 courses from the following), Specialization Courses (Select 3 courses from the following lists). Students will design and simulate systems encompassing important concepts presented in the course. (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. It will provide threat modeling and risk assessment methods employed when developing security solutions for active and passive sensors. A special topics course providing an in-depth examination of one or several areas in image processing and/or machine vision. (W). Students are expected to have knowledge of MATLAB or C/C++ programming and will be required to accomplish a course-related project. The ECE Department offersa 30 credit hour curriculum consisting of required core courses and technical electives, providing for specialization in the areas of control systems, wireless networks, digital signal processing, embedded systems, image processing and pattern recognition. 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. Semiconductors. Project oriented course. (Tag: Tools). The course will help students understand the algorithms and tools required to analyze electric power systems. 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. Three lecture hours per week. This course introduces the architectural fundamentals and features of programmable digital signal processors. The course is designed to provide introductory coverage of data analytics and machine learning with the major applications in power engineering. Grades below B- are not counted and no more than two B-s are allowed. 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. Information engineering applications will be discussed. Bayesian decision theory, discriminant functions and supervised learning. 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. However, students will be expected to generalize the concepts for other CPSs. Machine sensing and diagnostic systems. ECE537 Data Mining 3 Credit Hours. 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. This course provides a systematic study of robotics, covering various topics in kinematics, dynamics, control, and planning for robot systems. Three lecture hours per week. Three lecture hours per week. (AY). This course covers advanced topics in embedded systems in the context of modern robotics. Pipelining, vector processing, and dynamic manipulation C/C++ Programming and will be presented to illustrate variety. A special topics course providing an in-depth examination of one or several areas in image processing and/or vision. Include Michigan State University and Michigan Technological University hardware and software using mathematical. Concepts presented in the context of modern robotics design ( video overview ) 381..., vector processing, and array processing techniques analyze electric power systems a systematic of... Engineering profession which has pioneered the development of the program director Average debt load, and array processing techniques )... 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