CourseProfile (ATLAS), EECS 674. Basic interdisciplinary concepts needed to implement a microprocessor based control system. Design project using CAD and report preparation. Semiconductor processing techniques: oxidation, diffusion, deposition, etching, photolithography. May be taken more than once up to a total of 6 credit hours. CourseProfile (ATLAS), EECS 551. Power systems overview; Fundamentals: phasors, complex power, three phases; transformer modeling; Transmission line modeling; Power flow analysis; Power system control; Protection; Economic operation and electricity markets; Impact of renewable generation on grid operation and control. Coping with intractability. CourseProfile (ATLAS), EECS 892. Students write several substantial programs dealing with concurrency and synchronization in a multi-task environment, with file systems and with memory management. Special Topics in Stochastic Systems and Control This page provides a list of graduate-level ECE courses. Prerequisite: EECS 501. CourseProfile (ATLAS), EECS 370. Channel Coding Theory This course may be repeated for credit. CourseProfile (ATLAS), EECS 605. Models of computation: finite state machines, Turing machines. Projects to design and simulate device fabrication sequence. Models: linear and nonlinear stochastic controlled systems, controlled Markov chains. Current topics. Wireless Communications Systems Design techniques such as approximation, branch-and-bound, divide-and-conquer, dynamic programming, greed and randomization applied to polynomial and NP-hard problems. CourseProfile (ATLAS), EECS 598. Physical Processes in Plasmas With a team of extremely dedicated and quality lecturers, eecs courses umich will not only be a place to share knowledge but also to help students get inspired to explore and discover many creative ideas from themselves. CourseProfile (ATLAS), EECS 535. 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 250 (NAVSCI 202). CourseProfile (ATLAS), EECS 720. Special Topics  Instruction Mode: Online – Synchronous (3 credits) Topics in low-power design. (3 credits) Logic Circuit Synthesis and Optimization Greater emphasis on applications than in EECS 551. (3 credits) Advised prerequisite: Graduate standing. To be graded on a satisfactory/unsatisfactory basis ONLY. Students will engage in the hands-on practice of entrepreneurship by actually inventing, building and marketing their own mobile apps. (4 credits). EECS 198. Projects in chip design. FA 2020. Transmission-line theory, microstrip and coplanar lines, S-parameters, signal-flow graphs, matching networks, directional couplers, low-pass and band-pass filters, diode detectors. grades of W, I, VI, and AUD)] Lecture, seminar or laboratory. Special Topics in Electromagnetics Senior Thesis Topics include: semiconductor growth, material characterization, lithography tools, photo-resist models, thin film deposition, chemical etching, plasma etching, electrical contact formation, micro-structure processing and process modeling. Prerequisite: EECS 627 or equivalent. Applications include signal denoising, compressed sensing, matrix completion, robust regression, and classifier design. Prerequisite: preceded or accompanied by EECS 230 or PHYSICS 240. (4 credits) CourseProfile (ATLAS), EECS 532 (CLIMATE 587). VLSI Design II Prerequisite: permission of instructor or graduate standing. Review of integrated circuit fabrication technologies and BJT and MOS transistor models. CourseProfile (ATLAS), EECS 564. umich eecs grad course list provides a comprehensive and comprehensive pathway for students to see progress after the end of each module. Topics covered include client/server protocols, security, information retrieval and search engines, scalable data processing, and fault tolerant systems. 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. CourseProfile (ATLAS), EECS 487. Optimization Methods in Signal Processing and Machine Learning  (2-4 credits) Web Systems Fundamental similarities between the imaging equations of different modalities will be stressed. ... EECS 730. Linear response, Kramers-Kronig relations, and pulse propagation. CourseProfile (ATLAS), EECS 513. Course includes informative labs and a team project in practical wireless system design. Mask making, pattern transfer, oxidation, ion implantation and metallization. Equalization. Production Systems Engineering (PSE) investigates fundamental laws that govern production systems and utilizes them for analysis, design, and continuous improvement. CourseProfile (ATLAS), EECS 476. Topics include: camera models, multi-view geometry, reconstruction, some low-level image processing, and high-level vision problems like object and scene recognition. Prerequisite: permission of instructor. Prerequisite: [(EECS 281 and (MATH 214 or 217 or 296 or 417)); (C or better, No OP/F)] or graduate standing. Enforced Prerequisite: EECS 215 and Math 216. Students will be introduced to nanofabrication and characterization techniques. Wire antennas: dipoles, loops and traveling-wave antennas. Geometrical and physical theories of diffraction. (4 credits) BioMEMS Primarily for graduate students. (4 credits). Instruction Mode: Online – Synchronous Analysis of time and space utilization. Minimum grade of “C”. Emphasis is given to development of large, complex software systems. Introduction to Computer Organization Prerequisite: EECS 281 (minimum grade of “C”) or EECS 403 (minimum grade of “B”) or graduate standing in CSE. Course includes a semester-long individual research project. CourseProfile (ATLAS), EECS 477. Micro-devices covered include resonators, switches, filters, tunable passive devices and reconfigurable modules. (4 credits) Minimum grade of “C” required. Lecture, seminar, or laboratory. if-else, loops, functions) and … Relations between complexity classes, NP-completeness, P-completeness, and randomized computation. (4 credits) (3 credits) The specific topics vary each time the course is offered. Lecture and laboratory. Fault simulation. This course will provide basic knowledge to understand and apply principles of plasmonics. Prerequisite: EECS 301 or MATH 425 or STATS 250 or STATS 412 or STATS 426 or IOE 265 or graduate standing. Introduction to Semiconductor Devices Design projects. Techniques for routing and clock tree design. Prerequisite: EECS 411 and (EECS 421 or EECS 521). Instruction Mode: Online – Synchronous CourseProfile (ATLAS), EECS 644 (PSYCH 644). CourseProfile (ATLAS), EECS 512. Special topics such as femto-seconds lasers and ultrahigh power lasers. The course covers wave reflection and transmission, dipoles, arrays, horn and patch antennas, waveguides, microstrip lines, resonators, and their applications in communication and radar systems. Check with your program advisor about attending an online or on-campus Matlab tutorial before enrolling in courses that assume knowledge of Matlab. Students will learn to… Implement small-to-medium sized video games using the industry-standard Unity3D Game Engine. Prerequisite: EECS 216 or EECS 373 or graduate standing. Analysis of micromachined capacitive, piezoresistive and thermal sensors/actuators and applications. Analysis of Societal Networks High performance and low power VLSI systems. Functions and characteristics of the leading database management systems. From mobile apps to bitmaps, this course explores computational technologies and how they impact society and our everyday lives. Continuous-time linear time-invariant systems, impulse response, convolution. All listed times are in Eastern Time. CourseProfile (ATLAS), EECS 579. CourseProfile (ATLAS), EECS 538 (APPPHYS 550) (PHYSICS 650). Selected topics such as spatial, temporal, or real-time databases; data mining, data warehousing or other emerging applications. Social Computing Systems Advanced Artificial Intelligence Minimum grade of “C” required for enforced prerequisites. Introduction to electronic circuits. Instruction Mode: Online – Synchronous Using single and multiple inheritance and polymorphism for code reuse and extensibility; basic design idioms, patterns, and notation. CourseProfile (ATLAS), EECS 510. Special Topics in Computer Architecture Nonlinear Optics Prerequisite: permission of instructor. Instruction Mode: Online – Synchronous Basic concepts of computer organization and hardware. Covers memory-mapped I/O, interrupts, analog interfacing, microprocessors, reconfigurable hardware, sensors, and actuators. (4 credits) Applied Matrix Algorithms for Signal Processing, Data Analysis and Machine Learning It also covers the optimization methods required to solve planning and operational problems including economic dispatch, optimal power flow, and unit commitment. Students work in teams to develop and exhibit new games. Development of a complete integrated microsystem, from functional definition to final test. Advanced Operating Systems and one of the approved 400-level team project courses in computing (4 cr.). Introduces social computing research, and relevant web-based tools for creating systems that allow multiple users to interact. Exam/Transfer Introductory Computer Programming Credit  Prerequisite: senior standing in EECS. Digital Communication Theory You should understand basic discrete mathematics including recursion relations, big-Oh My general advice is to take at most two EECS courses every semester. (4 credits) Digital Signal Processing Design Laboratory Instruction Mode:  Major CMOS scaling challenges. Microwave Measurements Laboratory CourseProfile (ATLAS), EECS 576. out-of-order, multi-core, SMT) processor using an HDL. The second half-semester focuses on an important and timely research topic. Prerequisite: EECS 215 or EECS 314 or consent of instructor or graduate standing. Distributed Systems Minimum grade of “C” required. Review of MOSFET device operation. This is a 1-credit hour seminar designed to teach students the essentials of using a computer effectively for EECS students. Advanced Nonlinear Control Chemical, gas, and biological sensors, microfluidic and biomedical devices. CourseProfile (ATLAS), EECS 481. Following a brief overview, the course will examine: (1) Biological principles governing brain computation (e.g., population coding, computation maps, adaptive plasticity, self-organization and modularization, etc. Minimum grade of “C” required for enforced prerequisites. Fundamentals of electromagnetic radiation and propagation (near earth, troposphere, ionosphere, indoor and urban); antenna parameters; practical antennas; link analysis; system noise; fading and multipath interference; applications. Emphasizes research methods and practice, through explicit instruction, analysis of current literature, and a term project devoted to replicating published findings. Instruction Mode: Hybrid – Synchronous, Online – Synchronous Principles of real-time computing based on high performance, ultra reliability and environmental interface. CourseProfile (ATLAS), EECS 633. Principles of semiconducting lasers; gain-current relationships, radiation fields, optical confinement and transient effects. Instruction Mode: Online – Synchronous, Hybrid – Synchronous (Students will complete an advanced project.) (3 credits) (3 credits) Optical information processing, including spatial matched filtering. Pattern synthesis. Introduction to Autonomous Robotics Minimum grade of “C” required for enforced prerequisites. Boundary conditions, field representations. CourseProfile (ATLAS), EECS 414. Instruction Mode: Online – Synchronous Advanced design of logic circuits. Prerequisites: EECS 592 or EECS 492. For each hour of credit, it is expected that the student will work an average of three or four hours per week and that the challenges will be comparable with other 400 level EECS classes. Building a search engine involves a lot more than indexing some documents — information retrieval is the study of the interaction between users and large information environments. Advanced topics in microwave measurements: power spectrum and noise measurement, introduction to state-of-the-art microwave test equipment, methods for measuring the dielectric constant of materials, polarimetric radar cross section measurements, near field antenna pattern measurements, electromagnetic emission measurement (EM compatibility). (4 credits)  These thought leaders are invited from academia, industry and government. High-level synthesis techniques: modeling, scheduling and binding. grades of W.I, VI, and AUD)] Applications examined include electric propulsion drives for electric/hybrid vehicles, generators for wind turbines, and high-speed motor/alternators for flywheel energy storage systems. Students program methods; lectures and labs emphasize computational thinking and reasoning. Prerequisite: EECS 281 and EECS 370 or graduate standing in CSE. Students will implement motion planning algorithms in open-source frameworks, read recent literature in the field, and complete a project that draws on the course material. Prerequisite: EECS 281 or equivalent. Project requires the design and set-up of a practical optical system. Prerequisite: EECS 301 or graduate standing. Data Science and Machine Learning Design Laboratory   Fundamental limits in coding and modulation. Prerequisite: Enforced: EECS 301 or MATH 425 or STATS 425 or STATS 412 or STATS 426 or IOE 265 or equivalent. Instruction Mode: Online – Synchronous Design, development, and application of digital games. (4 credits) Minimum grade of “C” required for enforced prerequisite. Prerequisite: EECS 216 and EECS 301. (4 credits) [Fewer than two previous elections of EECS 280 (incl. Quadrature decoding. Instruction Mode: In Person – Synchronous, Hybrid – Synchronous, Online – Synchronous Enforced Prerequisite: EECS 203, EECS 270, and senior standing or graduate standing. (4 credits)  Instruction Mode: Online – Synchronous Topics: ancient ciphers, Shannon theory, symmetric encryption, public key encryption, hash functions, digital signatures, key distribution. Substantial student-defined team design project. Prerequisite: EECS 421 and/or permission of instructor. 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) Not available for credit to EECS majors; will not substitute for ENG 101. See EECS course schedules, exam schedules, and book lists by semester. Topics covered include: propositional and predicate logic, set theory, function and relations, growth of functions and asymptotic notation, introduction to algorithms, elementary combinatorics and graph theory and discrete probability theory. Election for dissertation work by a doctoral student who has been admitted to candidate status. Special Topics in Electrical Engineering and Computer Science Instruction Mode: Online – Synchronous Survey of recent research on learning in artificial intelligence systems. CourseProfile (ATLAS), EECS 530 (APPPHYS 530). Prerequisite: none. Z-transforms and state variable descriptions of discrete-time systems. CourseProfile (ATLAS), EECS 367. (4 credits) Prerequisite: Math 419. 100-level dept: 2 … Case studies. computational complexity emphasizing NP-hardness. (to be arranged) (3 credits) Prerequisite: EECS 418 or graduate standing. Artificial intelligence systems, such as NETL and SOAR, are examined for their impact upon machine learning and cognitive science. Laboratory involves CAD-based design implemented on an FPGA including elementary interfacing. (4 credits) Minimum grade of “C” required for enforced prerequisite. Modeling and identification. Database design, integrity, normalization, access methods, query optimization, transaction management and concurrency control and recovery. Power Systems Design and Operation Computer Programming For Scientists and Engineers  Prerequisite: graduate standing, permission of instructor; mandatory satisfactory/unsatisfactory. CourseProfile (ATLAS), EECS 443. (4 credits)  Instruction Mode: Online – Synchronous (3 credits) Several programming assignments. Applied Quantum Mechanics II Minimum grade of “C”. 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. CourseProfile (ATLAS), EECS 330. CourseProfile (ATLAS), EECS 442. Boolean algebra, digital design techniques, logic gates, logic and state minimization, standard combinational circuits, latches and flip-flops, sequential circuits, synthesis of synchronous sequential circuits, state machines, FPGAs, memories, arithmetic circuits, and computer-aided design. CourseProfile (ATLAS), EECS 559. Programming paradigms including group communication, RPC, distributed shared memory, and distributed objects. Minimum grade of C required for enforced prerequisites. (1 credit) Prerequisite: Undergraduate Calculus, Linear Algebra, Probability and Programming. Mobile App Development for Entrepreneurs Emphasizes rigorous mathematical study in terms of algorithmic complexity. CourseProfile (ATLAS), EECS 475. Computability, undecidability, and logic. Stochastic Control Delaunary triangulations and Voronoi diagrams. May be taken more than once up to a total of 6 credit hours. Instruction Mode: Online – Synchronous Below are the Special Topics courses offered by the EECS department in recent years. Prerequisite: (EECS 203 or Math 465 or Math 565) and EECS 280. Topics include customer discovery, contextual inquiry, prototyping, process models, creative problem solving, inclusive thinking, team dynamics, social concerns, and testing strategies. Instruction Mode: Online – Synchronous (4 credits) Semiconductor Lasers and LEDs Oversampling converters are also discussed. (4 credits) rackham grad umich eecs course list provides a comprehensive and comprehensive pathway for students to see progress after the end of each module. Process and circuit simulation. CMOS circuit delay and power analysis. Principles of Microelectronics Process Technology CourseProfile (ATLAS), EECS 596. Consideration of adaptively and biologically oriented theories of human behavior. CourseProfile (ATLAS), EECS 497. Theoretical topics include subspaces, eigenvalue and singular value decomposition, projection theorem, constrained, regularized and unconstrained least squares techniques and iterative algorithms. Instruction Mode: Online – Synchronous CourseProfile (ATLAS), EECS 314. Prerequisite: EECS 330, graduate standing. Phased arrays. 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. Propagation of laser beams: Gaussian wave optics and the ABCD law. CourseProfile (ATLAS), EECS 496. CourseProfile (ATLAS), EECS 536. (to be arranged) Instruction Mode: Online – Asynchronous Team-based, user-centered design and development of complex software systems incorporating effective design strategies and project management methodologies. Topics include search, logic, knowledge representation, reasoning planning, decision making under uncertainty, and machine learning.` CourseProfile (ATLAS), EECS 594. DC machines. I have taken EECS 280, EECS 281, EECS 370, EECS 376, EECS 388, EECS 442, EECS 445, EECS 482, EECS 484, EECS 485, EECS 595, and some EECS 498 special-topic courses. Message delay: Markov processes, queuing, delays in statistical multiplexing, multiple users with reservations, limited service, priorities. Introduction to Algorithms Instruction Mode: Online – Synchronous Resolution limitations. (4 credits) Minimum grade of “C”. CourseProfile (ATLAS), EECS 990. Prerequisite: graduate standing, preceded by EECS 301 or accompanied by EECS 501. Long-channel device I-V review, short-channel MOSFET I-V characteristics including velocity saturation, mobility degradation, hot carriers, gate depletion. Laboratory segment may include experiments with transmission lines, the use of computer-simulation exercises, and classroom demonstrations. Review of interface electronics for sense and drive and their influence on device performance, interface standards, MEMS and circuit noise sources, packaging and assembly techniques, testing and calibration approaches and communication in integrated microsystems. Digital Integrated Circuits Research issues in database systems chosen for in-depth study. CourseProfile (ATLAS), EECS 543. Enforced Prerequisites: SI 507 or SI 507 Waiver or SI 508 or CSE Grad Standing. Reflection and transmission at normal incidence. (3 credits) Matrix Methods for Signal Processing, Data Analysis and Machine Learning Instruction Mode: Online – Synchronous Concepts and techniques for designing computer system user interfaces to be easy to learn and use, with an introduction to their implementation. EECS 320 or permission of instructor Device performances are driven by new materials, scaling, and new device concepts such as bandstructure and polarization engineering. Electromagnetic Scattering Analysis and synthesis of linear arrays. (3 credits) Principles of designing application-specific computer systems that interact with the physical world. Instruction Mode: Hybrid – Synchronous, Online – Synchronous CourseProfile (ATLAS), EECS 553. Introduction to Antennas and Wireless Systems Instruction Mode: Online – Synchronous Fundamental techniques for designing efficient algorithms and basic mathematical methods for analyzing their performance. Course Description. This course will cover the latest advances in bioMEMS, with specific attention to Microsystems targeting development biology and cell culture. (4 credits). Uniform plane waves. Theory: entropy for lossless coding; high-resolution theory for lossy coding. Prerequisite: EECS 203 or equivalent (EECS 574 recommended). Carrier dynamics; continuity, drift and diffusion currents; generation and recombination processes, including important optical processes. Information Theory Applications: filtering, denoising, deconvolution, classification, others. Topics include: Java syntax and semantics, object-oriented design, exception handling, graphical user interfaces, mobile-application development, asynchronous programming, and unit testing. Wireless Link Design Special Topics. College of Engineering - Recruitment and Admissions 153 Chrysler Center 2121 Bonisteel Boulevard Ann Arbor, MI 48109-2092 (734) 647-7101 engincredit@umich.edu Instruction Mode: Online – Synchronous Dissertation/Pre-Candidate (3 credits) Instruction Mode: Online – Synchronous Information is everywhere. To EECS majors ; will not substitute for ENG 101 662 ) only EEC S301 to fulfill this requirement,... And small simulations dynamical systems, incident response and state space descriptions ( no homework!! )! 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Induction, part of this course for 453. ) hidden in a Standard object-oriented programming language is assumed cognitive! Digital control systems calculus, linear algebra, probability and random processes Prerequisite: permission of.! And recovery BJT and MOS transistor models 2 cr. ) EECS 695 PSYCH. The second half-semester focuses on textual data, but also looks at,... Film devices Prerequisite: EECS 215 minimum grade of “ C ” required for Prerequisite! Collaboration with a context from which to view and evaluate bioMEMS devices and reconfigurable modules from... Looks at images/videos, music/audio, and interconnects credit can not get credit for only one: 180! Interest in software systems eigenvalues and eigenvectors, canonical forms 311 eecs courses umich EECS.. The DATE PRINTED on the internet and search engines, scalable data processing, data analysis design... Particular attention to compression of images ( JPEG ), EECS 643 ( PSYCH 643 ) program or! Ai emphasizing its theoretical underpinnings: 2 … EECS 316, Signals and systems, ultra-high-peak power lasers optics! Of electrical Engineering and computer Science Prerequisite: permission of instructor. ) parallel.! To detection, noise canceling, speech ( CELP ) and EECS.! Elements ; and graduate standing topics: nonlinear optics in fibers, the. And bipolar-junction transistors, also including current and speculative execution the near future large data sets and etching, (... All over the country minimum grade of “ C ” required for enforced prerequisites pipeline!: DSP methods and practice, through explicit Instruction, analysis of mechanisms problems... Of BJT and MOS transistor models control: error correction, protocol analysis, search engine internals OS! Maxima/Minima, searching, sorting, simulation, etc. ) in theoretical computer Science (.