The curriculum covers analog and digital circuits, microprocessors, power systems, electrical components and how these are incorporated into sensors, actuators and computer systems. Projects can be faculty-generated, self-generated, and/or work related. 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. Various solution approaches will be covered including statistical methods and neural network-based methods. 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. Locomotion will cover balance control, footstep planning, walking gait generation, joint space trajectory planning, and human motion tracking. The Master of Engineering (MEng) degree in Electrical and Computer Engineering is designed to serve students pursuing a terminal, professional Master's degree. Layered techniques in operating systems. Topics include: Transform Techniques using Fourier series, Fourier transforms, Laplace transforms and Sampling Theorem. Three lecture hours per week. ECE526 Multimedia Comm Sys 3 Credit Hours. Prerequisite(s): (ECE570 and ECE5701) or CIS 627, ECE675 Computer Architecture II 3 Credit Hours. ECE5462 Elec Aspects of Hybrid Vehicle 3 Credit Hours. ECE530 Energy Storage Systems 3 Credit Hours. The degree-seeking graduate application for Summer 2023 will close at 11:59 PM EST on April 19. Three lecture hours per week. (F,W,S), ECE980 Pre-Cand Dissertation Research 1 to 9 Credit Hours, Full Title: Pre-Candidate Dissertation Research Respected. Three lecture hours per week. A final research course project is required. This academic equivalency allows U-M graduate engineering students to bypass taking the certification exam to become certified system engineers, a major benefit. The course has substantial computer simulation and research project components. 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. Essential facts about the UM Dearborn BS in Electrical Engineeringprogram: Average salary of grads, cost, average debt load, and more. Eng.) 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. (F, W). Part of the coursework involves a project concerning the analysis and design of a multimedia-based system. The course will require student presentations and a substantial term project. Finally, the requirements of EDV and renewable energy application examples will be explained. The student will learn how to mathematically pose the machine learning problems of function approximation/supervised learning, associative memory and self-organization, and analytically derive some well-known learning rules, including backprop. Students are expected to have knowledge of MATLAB or C/C++ programming and will be required to accomplish a course-related project. This class will introduce students to the technology used in mobile/smart devices and mobile communication networks. Embedded specification and design techniques. Three lecture hours per week. In CECS, we are committed to excellence. (W). Students cannot take both ECE415 and ECE5425 for degree credit. Restriction(s): Can enroll if Class is GraduateCan enroll if Major is Mechanical Engineering, Industrial & Systems Engin, Computer Engineering, Electrical Engineering, ECE542 Intr to Pwr Mgmt & Reliability 3 Credit Hours. 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. In terms of technical and engineering issues, students will learn basic data analysis techniques and computer programming tools. A list of faculty advisors for the MSE-Electrical Engineering program is provided below. 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. 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. Three lecture hours per week. Introduction to modern digital computer logic. Special projects for laboratory or library investigation with the intent of developing initiative and resourcefulness. Every electrical engineering school has its own distinct culture and strengths. (YR), This course covers two major aspects of humanoid robots, locomotion and manipulation. Detroit, Michigan, United States. 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. Battery management, battery charging, and battery safety will be covered. Simulation techniques and software will be introduced. This course will cover the basic issues in multimedia security and forensics and is designed to give the student hands-on experience in various aspects of information security and forensic analysis through the various assignments and projects. The Master of Science in Human-Centered Design and Engineering requires a minimum of 31 graduate credit hours. aerospace, maritime, vehicular, industrial) as an enabler of flexible and robust system design. 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. The topics of ubiquitous and pervasive computing will be introduced and discussed. Manipulation will include grasping, optimal planning, and dynamic manipulation. This course aims to cover attack surfaces, threat modeling and attack vector executions for commonly used sensors and develop countermeasures to defend against them. U-M Dearborn College of Engineering and Computer Science - Electrical and Computer Engineering. The basic limitations and alternatives for communications signaling are studied, using appropriate mathematical tools. 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. 1080 - Administration Building. 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. Students will work with various tools and techniques used by hackers to compromise computer systems or otherwise interfere with normal operations. ECE570 Computer Networks 3 Credit Hours. Three lecture hours per week. Semiconductors. I managed the PLM software (Obbligato III) on-site for our US operations. The course is designed to provide introductory coverage of data analytics and machine learning with the major applications in power engineering. The BSE in Electrical Engineering program is accredited by the Engineering Accreditation Commission of ABET, http://www.abet.org/. (May not be available to students with EE or CE degrees) Three lecture hours per week. Introduction to the fundamental concepts of data mining including data exploration, pre-and post-processing, OLAP, predictive modeling, association analysis, and clustering. Part of the coursework involves a project concerning the analysis and design of a multimedia-based system. 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. University of Michigan--Dearborn Engineering School Overview Dearborn, MI Explore Map The College of Engineering and Computer Science at University of Michigan--Dearborn has a rolling. Three lecture hours per week. Three lecture hours per week. 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. Industrial and Manufacturing Systems Engineering (IMSE), ECE 500 Mathematical Methods in EE and CE (Required unless waived. Three lecture hours per week. 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. Phone: 313-593-5030. 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. The following abbreviations are used to denote the frequency of offering: (F) fall term; (W) winter term; (S) summer term; (F, W) fall and winter terms; (YR) once a year; (AY) alternating years; (OC) offered occasionally. Three lecture hours per week. & Privacy for Smart Grids 3 Credit Hours, Full Course Title: Security and Privacy for Smart Grids The following are suggested specializations. 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. 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. (F,W,S), ECE610 Analog I C 3 Credit Hours, ECE612 Wireless Sensor Networks 3 Credit Hours. Programming concepts for DSP processors such as addressing, instruction set, execution control, pipelining, parallel processing and peripherals are discussed. Random Variables using probability density and distribution functions, functions of a random variable, and conditional and joint probabilities. Three lecture hours per week. For a complete list of ECE courses please view the Course Descriptions later in this Catalog. ECE661 Sys Ident and Adaptive Control 3 Credit Hours. Mechatronics, as an engineering discipline, is the synergistic combination of mechanical engineering, electrical engineering, control engineering, and computer science, all integrated through the design process. Introduction to pattern recognition (PR) as a process of data analysis. Finally, students will work on related applications employing digital signal processors such as speech processing, instrumentation, and image processing. In depth study of advanced technologies in computer networks and wireless communications. The course will also cover basics of cryptography and coding theory. Restriction(s): Can enroll if Class is Graduate or DoctorateCannot enroll if Major is, ECE536 All Weather Automotive Vision 3 Credit Hours. RISC computers. Three lecture hours per week. Examples involving various types of applications (automotive, communications, computers) will be discussed. 2. 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. The online courses utilize video streaming of the lectures given on campus. Self guided lab assignments. Students will apply software tools to analyze, design and simulate multirate digital signal processing systems. A term project may be required. This course provides students with hands-on experience through computer-based simulation projects. Sensing technologies including basic computer vision will be covered. Message-based operating systems. Students will be expected to read research papers and complete a project with actual robots, e.g., TurtleBots. Students will gain an understanding of the language, formalism, and methods of artificial neural networks. Performance Analysis. This course will introduce students to multimedia design tools for dynamic media (video and audio). A team-based term project may be required. Students in RE program must take this course in the first year. ECE535 Mob Dev & Ubiqys Comp Sys 3 Credit Hours. Basic concepts, algorithms, and standards will be covered for systems that process digital images, vector graphics, and text. 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