(1-4 credits) (to be arranged) Minimum grade of “C” required for enforced prerequisite. Diagnostics include: Langmuir probes, microwave cavity perturbation, microwave interferometry, laser schlieren and optical emission spectroscopy. Instruction Mode: Online – Synchronous Minimum grade of “C” required for enforced prerequisite. Data Mining Survey of ultrafast high field interactions. CourseProfile (ATLAS), EECS 550. Prerequisite: EECS 530 and graduate standing. Minimum grade of “C” required for enforced prerequisite. Instruction Mode: Online – Synchronous, In-Person – Synchronous Maxwell’s equations, constitutive relations and boundary conditions. Instruction Mode: Online – Synchronous Fundamental techniques for designing efficient algorithms and basic mathematical methods for analyzing their performance. Prerequisite: permission of instructor or counselor. CourseProfile (ATLAS), EECS 691. (3 credits)  Instruction Mode:  Prerequisite: EECS 470 or graduate standing or permission of instructor. (3 credits) In the modern world we depend on the efficiency of a myriad of societal networks to transact many activities. Prerequisite: ((Phys 240 or 260) and EECS 215 and EECS 216) or graduate standing. Basic techniques for analysis and design of controllers applicable in any industry (e.g. Communicating sequential processes. (4 credits) Mobile Robotics: Methods & Algorithms Winter 2020 Previous years: [Winter 2018] [Winter 2019] This is the official Mobile Robotics course website for the Winter 2020 Semester at the University of Michigan. Principles of engineering design for electrical engineering systems. (4 credits) At least 27 credits must be upper-level. Maxwell’s equations in differential form. CourseProfile (ATLAS), EECS 502. Model-predictive control of hybrid systems. Theory: motors, kinematics & mechanisms, sensing/filtering, planning, pinhole cameras. Teams of 3-5 students complete projects based primarily on their individual interests. (3 credits) CourseProfile (ATLAS), EECS 518 (AOSS 595). Advised Prerequisites: EECS 281 or SI 502 or permission of instructor. Renewal and regenerative processes, Markov chains, random walk and run, branching processes, Markov jump processes, uniformization, reversibility and queuing applications. The second half treats photons in semiconductors, including semi-conductor lasers, detectors and noise effects. (4 credits) (Credit cannot be obtained for both EECS 444 and EECS 544.) Prerequisite: EECS 320 or graduate standing. While the target audience is EE/CE/CS/DS students, any student wishing to learn how to use their computer more effectively is encouraged to join. Topics include socket programming, naming and addressing, video streaming and content distribution, flow and congestion control, routing, and cloud, datacenter, and software-defined networks. (4 credits) Emphasis on both the potential breadth of application and intuitive reasonableness of various models. Advisory Prerequisite: EECS 505 or 551 or graduate equivalent. Image Processing Digital communication signals and systems; fundamental limits on reliable communications, energy and bandwidth efficiency trade-offs; optimum receiver principles, modulation techniques including phase shift keying, quadrature modulation and OFDM; block and convolutional coding and decoding; applications to wireless communication systems; optional topics include synchronization, quantization and lossless compression of signals, fundamental limits of compression, role of entropy. CourseProfile (ATLAS), EECS 452. Robust and reliable design  techniques. Advised Prerequisites: EECS 493 or equivalent or Graduate standing. Principles of LEDs, lasers, photodetectors, modulators and solar cells. CourseProfile (ATLAS), EECS 554. Special Topics in Software Systems (4 credits) Prerequisite: permission of instructor. CourseProfile (ATLAS), EECS 477. Students program methods; lectures and labs emphasize computational thinking and reasoning. Design and development of a search engine. To be elected by EECS students pursuing the Master of Engineering degree. We encounter it in our everyday lives in the form of E-mail, newspapers, television, the Web, and even in conversations with each other. CourseProfile (ATLAS), EECS 478. CourseProfile (ATLAS), EECS 730. Amorphous and Microcrystalline Semiconductor Thin Film Devices Neyman-Pearson and Bayesian approaches. Prerequisite: permission of instructor. (4 credits) Indicates preparedness to proceed to EECS 280. Topics in low-power design. Design problems unique to multivariable systems. Introduction to discrete and continuous random processes. Preceded or accompanied by: EECS 215 Minimum grade of “C” for advised prerequisites. Introduction to the mathematical foundations of computer science. (4 credits) Survey-only (3 credit) and project (4 credit) versions. (3 credits) Special Topics in Stochastic Systems and Control Autocode generation for rapid prototyping. Linear Systems Theory Distributed databases, advanced query optimization, query processing, transaction processing, data models and architectures. Design of algorithms for idealized models. Prerequisite: graduate standing. Digital Signal Processing Design Laboratory (4 credits) (Students who have previously enrolled in 505 or 551 cannot get credit for 453.) Current Topics in Databases Prerequisite: EECS 280. (4 credits) Particular attention to compression of images (JPEG), video (MPEG), speech (CELP) and audio (MP3). Prerequisite: EECS 281 and (MATH 214 or 217 or 296 or 417 or 419) and (EECS 367 or EECS 373). (1-4 credits) Foundations of Artificial Intelligence Minimum grade of “C” required for enforced prerequisites. Artificial intelligence systems, such as NETL and SOAR, are examined for their impact upon machine learning and cognitive science. Wire antennas: dipoles, loops and traveling-wave antennas. CourseProfile (ATLAS), EECS 470. Instruction Mode: Online – Synchronous Theory, systems and applications of active and passive microwave remote sensing:  radiative transfer; blackbody radiation; microwave radiometry; atmospheric propagation and emission; radiometer receivers; surface and volume scattering and emission; radar systems; resolution techniques; calibration; synthetic aperture radar; scatterometers; applications to meteorology, oceanography and hydrology. Stochastic Processes Prerequisite: EECS 501. Control Systems Analysis and Design Prerequisite: Any one of EECS 334, EECS 429, EECS 434, EECS 529, EECS 537, EECS 538, EECS 539 or permission of instructor. Practice: servo control, project management; fabrication; software design for robotics. Computational Complexity About the course: The course will address the following topics: Mathematics for computer graphics: points, vectors, matrices, linear algebra, triangles, barycentric coordinates, interpolation, 2D and 3D rigid transformations, including Rodrigues formula and quaternion, and 3D viewing and perspective. Minimum grade of C required for enforced prerequisites. Theory will cover: Bandstructure in quantum wells; effect of strain on bandstructure; transport theory; Monte Carlo methods for high field transport; excitons, optical absorption, luminescence and gain. Instruction Mode: In-Person – Synchronous, Online – Asynchronous/Synchronous Design of hardware and software for modern embedded systems. Minimum grade of “C” required for enforced prerequisites. A computational introduction to the modeling and control of autonomous robots and mobile manipulators. Computational Modeling of Cognition Prerequisite: EECS 280, and (EECS 351 or EECS 455) or graduate standing. Theory of image formation and Fourier transformation by lenses. Electrical Engineering Systems Design II Prerequisite: EECS 200, at least 3 of 4 (215, 216, 230, 280), Co-requisite EECS: 4th of 4 (215, 216, 230, 280) Minimum grade of C required for enforced prerequisites. (4 credits) Instruction Mode: Online – Synchronous CourseProfile (ATLAS), EECS 634 (APPPHYS 611) (Physics 611). Instruction Mode: Online – Synchronous Essential tools for computer programming:  Shells, environments, scripting, Makefiles, compilers, debugging tools, and version control. Theoretical analysis of the chemistry and physics of process technologies used in micro-electronics fabrication. Plane, cylindrical, and spherical waves. CourseProfile (ATLAS), EECS 428. Current topics of interest in software systems. Semester-long, open-ended design based on a societally-relevant challenge. Compile-time vs. run-time tradeoffs. Introduction to Digital Signal Processing (3 credits) To be elected by EE and EES students pursuing the master’s thesis option. CourseProfile (ATLAS), EECS 558. Prerequisite: EECS 470 or permission of instructor. Theory and applications of adaptive filtering in systems and signal processing. CourseProfile (ATLAS), EECS 298. A substantial course project allows in-depth exploration of topics of interest. Major Design Experience Professionalism Instruction Mode: Hybrid – Synchronous/Asynchronous, Online – Synchronous/Asynchronous Advanced issues in VLSI design addressing the areas of high performance, low power and reliability. Large-scale optimization heuristics, simulated annealing and AI techniques in CAD. Prerequisite: permission of instructor. (4 credits) (May not be taken if student has credit for or is currently enrolled in EECS 180, EECS 183, ENGR 101, ENGR 151, EECS 280 or EECS 282.) The specific topics vary each time the course is offered. Advanced topics and research issues in computer networks. (2 credits) To be graded satisfactory/ unsatisfactory ONLY. While casual information consumers can simply enjoy its abundance and appreciate the existence of search engines that can help them find what they want, information professionals are responsible for building the underlying technology that search engines use. Research issues in database systems chosen for in-depth study. Digital Communication Theory Social Computing Systems Bandwidth and dimensionality. Instruction Mode: Online – Synchronous Power Systems Design and Operation In-depth study of research issues in mobile and pervasive computing systems. Embedded Control Systems Properties of Transistors Groups design an advanced (e.g. Design and creation of computing systems that mediate, facilitate , or augment social interactions. EECS Course List (links to Michigan Engineering Bulletin) Special Topics Courses for the Current Term. Computer graphics hardware, line drawing, rasterization, anti-aliasing, graphical user interface (GUI), affine geometry, projective geometry, geometric transformation, polygons, curves, splines, solid models, lighting and shading, image rendering, ray tracing, radiosity, hidden surface removal, texture mapping, animation, virtual reality and scientific visualization. As SQL, forms, embedded SQL, forms, embedded SQL, and method evaluation... In statistical multiplexing, multiple users with reservations, limited service, priorities greed randomization. 651 ) Asynchronous design techniques for autonomous mobile Robotics: methods and algorithms Prerequisite: permission of instructor..., opto-electronics, lasers and optics Laboratory Prerequisite: EECS 470 or permission of ;... 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