ECE519 Adv Topics in EMC 3 Credit Hours. Topics may be chosen from any of the areas of electrical engineering. 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. Three lecture hours per week. Impact of modern materials on commercial product performance; representative illustrations from product areas such as automotive vehicles, commercial aircraft, recreational equipment, and electronic products. (F). Grades below B- are not counted and no more than two B-s are allowed. Finally, a cumulative GPA of 3.0 or higher is required, in order to be eligible to receive the MSE (EE) degree. (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 Part of the coursework involves a project concerning the analysis and design of a multimedia-based system. A project report and a seminar are required. 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. Exemptions and transfer credit are granted at the discretion of the program chair. Classification of electromagnetic environments will also be discussed. 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. The key engineering elements include microprocessor technology, electronics, sensors and actuators, data communication and interface, control algorithms, and mechanisms of machine elements. & Sys. These embedded control networks differ from information technology (IT) networks in that the primary users are not humans, but sensors, actuators, and embedded processors. ECE565 Digital Control Systems 3 Credit Hours. Restriction(s): Can enroll if Major is Electrical Engineering, Manufacturing Engineering, Computer Engineering, ECE541 Sustainable Energy Systems 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. Application of the methodologies, tools and theory of software engineering to produce a specific validated software product. ECE567 Nonlinear Control Systems 3 Credit Hours. This course covers the EMC requirements and EMC test methods for large systems. All three courses may be taken from one specialization or a combination of any of the specializations. A team-based term project may be required. Restriction(s): Can enroll if Level is Doctorate or Rackham or Graduate or, ECE584 Speech Processes 3 Credit Hours. ECE679 Adv Intelligent Sys 3 Credit Hours. 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. Students will design and simulate systems encompassing important concepts presented in the course. (W). Restriction(s): Can enroll if Class is GraduateCan 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, Information Sys Engineering, Mechanical Engineering, Automotive Systems Engineering, Electrical Engineering, ECE616 Advanced Topics in Power Sys 3 Credit Hours, This course will cover the advanced topics of power system planning, operation, and control. Formal models of operating systems. Students cannot take both ECE415 and ECE5425 for degree credit. Case Studies will be presented to illustrate a variety of applications. Students may complete the professional elective requirements in several ways: Students are required to select 6 credit hours of graduate-level courses from other non-ECE engineering disciplines, such as: Students may also select any 500-level course from the mathematics & statistics department (MATH, STAT), excluding math subject courses for educators (MATH 508, 5386, 5387, 543, 544, 5440, 5441, 5442, 5443, 5445, 545, 546, 549, 586, 591). 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. agencies across the state. This course provides graduate students with a clear understanding of the latest vehicle power management technologies with an emphasis on alternative fuel vehicles. 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. Introduction to modern digital computer logic. ECE661 Sys Ident and Adaptive Control 3 Credit Hours. Dearborn, MI 48128. Advisory prerequisite: Basic understanding of power systems and machine learning. ECE670 Adv Comp Netwk&WL Comm 3 Credit Hours. Control will include the classic PID control, position and force control, and trajectory tracking. U-M Dearborn College of Engineering and Computer Science - Electrical and Computer Engineering. Advances in computer architecture. Eng.) Finally, students will work on related applications employing digital signal processors such as speech processing, instrumentation, and image processing. Undergraduate Electrical Engineering Student at the University of Michigan-Dearborn | Learn more about Hussein Hazime's work experience, education, connections & more by visiting their profile on . Students are free to develop their own specialization by selecting from any of the graduate courses listed in the ECE course list (see catalog). Exceptions beyond this deadline must have the approval of the program director. 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. 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. Students must maintain a cumulative GPA of 3.0 or higher in every semester. View the University of Michigan profile of Xuan Zhou. Reliability & Fault Tolerance. Topics include cooperation, connectivity, navigation, localization, perception, and control. This is an introductory course on electric motor drive systems and their control. 2050 - Institute for Advanced Vehicle Systems Building, Professional Development and Career Preparation, Industrial and Manufacturing Systems Engineering, College of Engineering and Computer Science, Dual BSE in Electrical Engineering and Computer Engineering, Ph.D. in Electrical, Electronics, and Computer Engineering, D.Eng. The course will introduce the basic issues in multimedia communications and networking and is designed to give the student hands-on experience in various aspects of multimedia communications through the various assignments and projects. EECS 334: Principles of Optics. A study of data communications and network architecture fundamentals. Students will get an overview of various mobile operating systems and will learn how to develop software for mobile devices. On-campus courses will be offered in the late afternoon and evening hours to enable students to earn their master's degree through part-time study. This course will introduce students to methods and technologies of computer music. The course will focus on intelligent systems in solving complex problems. This course introduces important theory and modern technology in robot vision. Restriction(s): Can enroll if Class is GraduateCan enroll if Level is Rackham or Graduate, ECE525 Multimedia Data Stor & Retr 3 Credit Hours. Feature extraction and selection. Students will gain understanding of the language, formalism, and methods of pattern recognition. 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. I managed the PLM software (Obbligato III) on-site for our US operations. Respected. Making a world of difference. Bachelor's degree in Electrical and/or Computer Engineering with an overall GPA of 3.0 or higher. Students will be exposed to advanced system design methods, modeling, simulation, and system verification and evaluation. (F). I am currently working at General Motors on the Autonomous Bolt EV program as a Quality Engineer. (AY). Final Day to Submit Summer 2023 Graduate Degree Application: April 19. 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! The focus of this class is on protection of radial fed system, fault studies and arc-flash calculations. Three lecture hours per week. For a complete list of ECE courses please view the Course Descriptions later in this Catalog. 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. (YR), ECE5541 Embedded Networks 3 Credit Hours. 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 . Introduction to linear spaces and operators; mathematical description of multiple input-output systems; state variables and state transition matrix; controllability and observability and its application to irreducible realization of transfer function matrices; state variable estimation; controller synthesis by state feedback; stability of linear systems; analysis of composite systems. Topics include a survey of embedded software 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.) Courses in which grades of C- or below are earned cannot be used to fulfill degree requirements. 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. An oral presentation and a final report on the research effort are required for completion. Department of Electrical and Computer Engineering University of Michigan-Dearborn, 4901 Evergreen Road Room 2050 IAVS, Dearborn, MI 48128-2406 Tel: 313-593-5420 E-mail: umd-ecegrad@umich.edu, ECE500 Math Mthds for Elec & Comp Eng 3 Credit Hours. Overview of embedded operating systems, cross-development techniques & tools. (F), Restriction(s): Can enroll if Level is Rackham or Graduate or Doctorate or Can enroll if College is Engineering and Computer Science, ECE618 Advanced Grid Protection 3 Credit Hours. 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. Random Variables using probability density and distribution functions, functions of a random variable, and conditional and joint probabilities. (F), Restriction(s): Can enroll if College is Engineering and Computer Science, ECE502 Electromag Theory & Simul 3 Credit Hours. Curriculum requirement sheets and sample course sequences are available through the Office of Advising and Academic Success. Students are expected to have knowledge of high-level programming language and will be required to accomplish a course project. This course introduces the architectural fundamentals and features of programmable digital signal processors. Programming concepts for DSP processors such as addressing, instruction set, execution control, pipelining, parallel processing and peripherals are discussed. Topics include active safety system architecture, enabling technologies for such systems, and future directions. This course addresses the basics of computer architecture including central processing architecture, instruction set design, input/output and RAID, main memory, Cache, and virtual memory. 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. Three lecture hours per week. This class includes assignments to reinforce learning and uses industry leading edge hardware to simulate control and monitoring of real world scenarios. Introduction to the fundamental concepts of data mining including data exploration, pre-and post-processing, OLAP, predictive modeling, association analysis, and clustering. 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. This academic equivalency allows U-M graduate engineering students to bypass taking the certification exam to become certified system engineers, a major benefit. The median salary for engineers working the field of engineering services earned a median salary of $87,640. (Not open to students with EE degree. A special topics course providing an in-depth examination of one or several areas in image processing and/or machine vision. automatic code generation from higher level modeling languages such as MATLAB and Simulink, and working with single-board computers and digital signal processors (DSP). Deterministic and nondeterministic finite state machine identification. Three lecture hours per week. Coverage of the next generation of active automotive safety systems including intelligent cruise control, lane departure warning, virtual camber, and back-up and blind spot warning systems. Three lecture hours per week. The course topics include introduction to RC, Hardware Description Language (HDL) such as VHDL and Verilog HDL, System-On-Chip (SOC), and Network-On-Chip (NOC). Parallel and non-Von Neumann architectures. Additional cognate options may be approved by the ECE department. UM-Dearborn launches D.Eng. It covers vehicle dynamics, energy sources, electric propulsion systems, regenerative braking, parallel and series HEV design, practical design considerations, and specifications of hybrid vehicles. 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. The course is to introduce a design methodology in an integrated system environment through case studies and design projects. 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. Academic advising is primarily done by faculty advisors with expertise in the area and with the support of our knowledgeable graduate staff. ECE590 Selected Topics 1 to 3 Credit Hours. Analysis of layout and the design of subsystems. 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. ECE576 Information Engineering 3 Credit Hours. Associate Professor. Prerequisite(s): (ECE570 and ECE5701) or CIS 627, ECE675 Computer Architecture II 3 Credit Hours. This course gives in depth study in advanced technologies in the electrified vehicle powertrain. PN junctions, bi-polar and field-effect transistors. 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. The following are suggested specializations. This course aims to cover attack surfaces, threat modeling and attack vector executions for commonly used sensors and develop countermeasures to defend against them. Restriction(s): Can enroll if Class is Graduate or Doctorate, ECE533 Active Automotive Safety Sys 3 Credit Hours. 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. (F, W). Electrical engineers working the field of semiconductor and component manufacturing earned a median salary or $94,990; engineers specializing in navigational, measuring, electromedical, and control instruments manufacturing Earned $91,810. EECS at Michigan Established. A final course project is required. 3135935498 (Work) xuanzhou@umich.edu. Representative topics are sensors and image formation, advanced algorithms in object feature filtering, extraction and recognition, texture and colors, motion, 3D vision, and applications. Introduction to pattern recognition (PR) as a process of data analysis. State-identification and fault-detection experiments. Failure mechanisms and interconnect lifetime prediction. Three hours per week. ECE5702 High-Speed and Adv Networks 3 Credit Hours. programs. Students may complete the professional elective in several ways: Students are required to select 6 credit hours of graduate-level courses from other non-ECE engineering disciplines, such as: Students may also select any 500-level course from the mathematics & statistics department (MATH, STAT), excluding math subject courses for educators (MATH 508, 5386, 5387, 543, 544, 5440, 5441, 5442, 5443, 5445, 545, 546, 549, 586, 591). ECE5752 Reconfigurable Computing 3 Credit Hours. Fundamentally, electrical engineering deals with the controlled application of electricity to the solution of real problems. 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. Students are expected to have knowledge of high-level programming language and will be required to accomplish a research-related course project. A Master of Science Degree helps students become creative and independent researchers. Three lecture hours per week. Three lecture hours per week. Associate processors. Three lecture hours per week. Pipelining, vector processing, and array processing techniques. Three lecture hours per week. Three lecture hours per week. The program may be completed entirely on campus, entirely online, or through a combination of on-campus and online courses. ECE571 Switching Theory 3 Credit Hours. This course provides students with hands-on experience through computer-based simulation projects. This course will cover in-depth study of existing multimedia compression standards such as, MPEG, MJEG, JPEG2000, etc. The PDF will include all information unique to this page. 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. Seek out a major that aligns with your interests and values through one of our engineering programs. It will provide threat modeling and risk assessment methods employed when developing security solutions for active and passive sensors. Simulation techniques and software will be introduced. ), 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 also cover aircraft actuation, sensors and perception (GPS, inertial meansurements, ranging, and basic computer vision), sensor fusion technique, and motion control of unmanned aircraft. The basic limitations and alternatives for communications signaling are studied, using appropriate mathematical tools. The course will be organized as a combination of conventional lectures, workshops-style discussion, and design review sessions. 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. (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 Team oriented course project to provide hands-on experience may be required. 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