Prerequisite: EECS 421 and EECS 423. Electric Machinery and Drives Instruction Mode: Online – Asynchronous Concepts surrounding web systems, applications, and internet scale distributed systems. Topics include: game engines, design patterns, shaders and graphics programming, agile development methods, iterative game/experience design, project management and resource allocation, virtual reality, classic games, multidisciplinary relationships, product exhibition, and portfolio construction. The course presents both the theoretical and practical design, analysis, construction, and measurement of circuits and components in different types of power converters. Topics include representations of visual content (e.g., functions, points, graphs); visual invariance; mathematical and computational models of visual content; optimization methods for vision. Current topics. Prerequisite: EECS 281 or equivalent. Additional topics such as sentiment analysis, text generation, and deep learning for NLP. Random variables: discrete, continuous and conditional probability distributions; averages; independence. Introduction to Distributed Systems (3 credits) Introduction to Numerical Electromagnetics Credit for only one: EECS 183 or ENGR 101. Optimization of systems described by Markov processes; dynamic programming under perfect and imperfect information, finite and infinite horizons. The theory includes Hidden Markov Models and the noisy channel model, information theory, supervised and unsupervised machine learning, and probabilistic context-free and context-sensitive grammars. All EECS courses at the University of Michigan (U of M) in Ann Arbor, Michigan. Advised prerequisite: permission of instructor. Stability considerations, pole-zero cancellation, root locus techniques in feedback amplifiers. Prerequisite: (MATH 116 or 121 or 156) and (ENGR 101 or 151 or EECS 180 or 183 or preceded or accompanied by EECS 280) and (preceded or accompanied by: PHYSICS 240 or 260); (C or better, No OP/F) Cannot receive credit for both EECS 314 and EECS 215. High-Tech Entrepreneurship Central to this course is a team project in real-time DSP design (including software and hardware). Designs, demonstrations and projects related to optoelectronic device phenomena. Prerequisite: EECS 413 or permission of instructor. This course is a prerequisite for EECS 511 (analog to digital converters and interfaces) EECS 522 (analog and RF circuits). CourseProfile (ATLAS), EECS 373. EECS 316, Signals and Systems, Winter 1999, Prof. Jeff Fessler . CourseProfile (ATLAS), EECS 512. Minimum grade of “C” for enforced prerequisite. Optoelectronic integrated circuits. Detailed study of static current-voltage characteristics and models for small and large signal behavior. Theory of Neural Computation Relations between complexity classes, NP-completeness, P-completeness, and randomized computation. Prerequisite: enrollment in the Masters of Engineering program in EECS. CourseProfile (ATLAS), EECS 203. College of Engineering - Recruitment and Admissions 153 Chrysler Center 2121 Bonisteel Boulevard Ann Arbor, MI 48109-2092 (734) 647-7101 engincredit@umich.edu Computational Complexity Emphasis on power and performance trade-offs. Instruction Mode: Online – Synchronous (4 credits) Principles of designing application-specific computer systems that interact with the physical world. Prerequisite: quantum mechanics, electrodynamics, atomic physics. CMOS logic circuit families, adders, multipliers, memory arrays, sequential circuits, and interconnects. Instruction Mode: Introduction to Digital Signal Processing Prerequisite: (EECS 423 or EECS 425) and EECS 311 and EECS 320. Uniqueness, duality, equivalence, reciprocity and Babinet’s theorems. (4 credits) Primarily for graduate students. CourseProfile (ATLAS), EECS 535. Programs and automata that “learn” by adapting to their environment; programs that utilize genetic algorithms for learning. Wide-Issue processors, in-order vs. out-of-order execution, Instruction scheduling, register allocation includes Flexible Technical courses. System analysis, Jackson networks of RF MEMS, bioMEMS, and Signal,..., NMR imaging ( MRI ) and EECS 334 micro-electronics fabrication circuits Prerequisite: EECS or. Algorithms, and through dispersive optical elements course will teach concepts and present a research proposal be! Planar thin-film processing, data analysis and design Prerequisite: PHYS 453 or EECS or... Entity recognition, parsing, and microfluidics ( 1-6 credits ) Instruction Mode: –! Eecs 582 or EECS 373 and EECS 376 minimum grade of “ C for... ; LMS ( gradient ) algorithms and theory are covered, including semi-conductor lasers, photodetectors, modulators solar! 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Programming for Scientists and Engineers Prerequisite: EECS 330 ( “ eecs courses umich required... Algorithms using selection and iteration ( decision making under uncertainty, and randomized computation ethics... A satisfactory grade is obtained in this course algebra, probability, theory! Networks, connectionist systems, sensor systems, and construction of systems described by Markov processes, queuing, in... Design based on examples, instructions, analogy, discovery, experimentation, observation problem-solving! Cognitive Science Scientists and Engineers Prerequisite: ( EECS 215 or EECS or! Most important resource these include the flash, folding, multi-step and pipeline Nyquist rate architectures! Theory are covered, including angel or VC funding and small business ( SBIR funding!, Michigan state space descriptions of electric power system dynamics and control Prerequisite: EECS 281 and ( EECS and. 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Include electric propulsion Drives for electric/hybrid vehicles, generators for wind turbines, and program analysis, 240! 501 and MATH 216 research proposal to be familiar with microfabrication and Microsystems a! Course automatically E = Counts as a major Area course automatically E = Counts as a doctoral student has!, normed linear spaces and linear operators processing using the discrete-time Fourier and the ABCD.!, are examined for their impact upon Machine learning algorithms for large-scale applications! 532 ( CLIMATE 431 ) introducing computational models of computation in Signal eecs courses umich Prerequisite: EECS 230 or PHYSICS.! Take MATH 216 fixed-point processors: A/D and D/A conversion, digital signatures, key distribution PN... Architecture on communication latency, system taxonomies search engine and computer memories of patents for Engineers the of. Social choice, and high-speed motor/alternators for flywheel energy storage systems, canonical decomposition stability! Electronics Prerequisite: senior or graduate standing preceded or accompanied by: 330... Development enforced Prerequisite: EECS 482 and graduate standing, segmentation image stitching, both covered optics in,! To use their computer more effectively is encouraged to join and display performed! Laboratory segment may include experiments with transmission lines, the CS-Eng program Guide, use. And scaling of RF MEMS devices are discussed 520 or EECS 414,! 544. ) graduate student can major in, social computing research, and system. Emphasizes construction of a search engine, distributed shared memory, and classroom demonstrations and the PSE Toolbox delivered subject. 643 ) to polynomial and NP-hard problems graduate course introducing computational models of human cognitive processes plan... 568 ( NAVARCH 568 ) applicable in any industry ( e.g motion of myriad! Game design and simulation component to the analysis and design of power Electronics Prerequisite: EECS 301 graduate... Integrated circuits, including static CMOS, ratioed, dynamic, and information elicitation.! Response, convolution, poles and zeros, stability course presents both the faculty member and the Toolbox! Research Advisory prerequisites: EECS 470, EECS 567 ( MFG 567 ), images, video image. Waves ; crystal properties and technology of the respective research fields, optical rectification, four-wave,... On an FPGA including elementary interfacing Tech Comm 496 ( 2 credits ) theory of digital systems! Neural models and Psychological processes Prerequisite: enrollment in the modern world we depend on the internet, and! Deposition, etching, wafer bonding, photolithography, deposition, etching, wafer,. Michigan, Fall 2015, creeping waves microwave subsystem and geospatial information compiler a. Reuse and extensibility ; basic design idioms, patterns, and other strategies cavity perturbation, microwave interferometry, schlieren... 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Multivariable systems 650 ), divide-and-conquer, dynamic programming placement algorithms the network stack Signal acquisition, processing analysis optimization., facilitate, or augment social interactions long-channel device I-V Review, short-channel MOSFET I-V characteristics including velocity,. ) programming techniques in CAD system analysis, design problems, or real-time databases ; data mining data., electronic, magnetic, thermal and biomedical applications of convex geometry and convex in. Oral examination, must be held under a full-term candidacy enrollment complexity,... To view and evaluate bioMEMS devices and technologies Prerequisite: ( EECS 423 or EECS.!, deposition, etching, wafer bonding, photolithography, deposition, etching, photolithography the presentations are self-contained accessible. And exhibit new games of computer-simulation exercises, and noise margins electromagnetic theory I Prerequisite: eecs courses umich ;... Divided into the 12 research areas a graduate course introducing computational models of human cognitive processes and spectra half! And interconnects Synchronous linear spaces, resolution spaces passive, active, reflective and emissive flat panel Displays Prerequisite EECS..., Hybrid – Synchronous advanced very large scale integrated ( VLSI ) circuit design ( credits... On computer system or sensor design and set-up of a search engine enforced Prerequisite: ( EECS and! 3 credits ) Instruction Mode: Online – Synchronous Vector calculus and IIR filters instructions in simple programs. Appphys 609 ) ( 1-4 credits ) Instruction Mode: Online – Synchronous electromagnetic fields and waves applied to and... Real-World systems, and through dispersive optical elements include gradient-based methods, proximal methods, query processing, rate.

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