CourseProfile (ATLAS), EECS 650. (3-4 credits) Minimum grade of “C” for enforced prerequisite. Elementary Programming Concepts Multiple access networks: ALOHA and splitting protocols, carrier sensing, multi-access reservations. Optical information processing, including spatial matched filtering. Case studies taken from current microprocessors. Central to this course is a team project in real-time DSP design (including software and hardware). Advanced Lasers and Optics Laboratory To be graded on satisfactory/unsatisfactory basis ONLY. Random variables: discrete, continuous and conditional probability distributions; averages; independence. Applications such as image deblurring, ranking of webpages, image segmentation and compression, social networks, circuit analysis, recommender systems and handwritten digit recognition. Amorphous and Microcrystalline Semiconductor Thin Film Devices CourseProfile (ATLAS), EECS 565. Robust and reliable design  techniques. Information Theory Introduction to the analysis and design of nonlinear systems and nonlinear control systems. Significant after hours lab time investment. (3 credits) Establish a foundation in research related to embedded system analysis, design, and synthesis. Computer Vision Prerequisite: EECS 582 or EECS 589 or EECS 591 or equivalent. Prerequisite: EECS 311 or EECS 312 or EECS 414 or graduate standing. This course introduces students to the emerging new field of quantum base nanotechnology. Optimization Methods in Signal Processing and Machine Learning  (3 credits) Prerequisite: EECS 330. Manipulation of light by electrical, acoustical waves; crystal properties and the dielectric tensor; electro-optic, acousto-optic effects and devices. Use of circuit simulation in analysis and design. CourseProfile (ATLAS), EECS 514. Instruction Mode: Online – Synchronous Design, development, and application of digital games. Prerequisite: EECS 320 or graduate standing. Instruction Mode:  Prerequisite: EECS 470 or graduate standing or permission of instructor. Instruction Mode: In-Person – Synchronous Introduction to information visualization. CMOS logic circuit families, adders, multipliers, memory arrays, sequential circuits, and interconnects. Theory and practice of signals and systems engineering in continuous and discrete time. Design for testability. Prerequisite: quantum mechanics, electrodynamics, atomic physics. CourseProfile (ATLAS), EECS 574. Lecture, seminar, or laboratory. To be elected by EE and EES students pursuing the master’s thesis option. Prerequisite: senior standing in EECS. Electronic and Optical Properties of Semiconductors Programming paradigms including group communication, RPC, distributed shared memory, and distributed objects. CourseProfile (ATLAS), EECS 373. Prerequisite: EECS 215 and EECS 216. Power Systems Design and Operation Different financing models are covered, including angel or VC funding and small business (SBIR) funding. CourseProfile (ATLAS), EECS 549 (SI 650). Electric Machinery and Drives Enforced Prerequisite: EECS 281. Waveguides and elementary antennas. Interactive Computer Graphics Instruction Mode: Online – Synchronous Pragmatic aspects of the production of software systems, dealing with structuring principles, design methodologies and informal analysis. Gaussian beams and ABCD law. Programming projects and lectures cover 3D coordinate systems, axis-angle rotation, forward and inverse kinematics, physical simulation and numerical integration, motion control, path planning, high-dimensional motion planning, and robot software systems. Computer Programming For Scientists and Engineers  Minimum grade of “C” required for enforced prerequisites. CourseProfile (ATLAS), EECS 250 (NAVSCI 202). Design techniques for full-custom VLSI circuits. Design and development of a search engine. Minimum grade of “C” required for enforced prerequisite. Course Mechanics > – requires umich.edu email account. Advised prerequisite: permission of instructor. (4 credits) Prerequisite: EECS 216 or EECS 373 or graduate standing. Instruction Mode:  Fault simulation. Instruction Mode: Online – Synchronous Topics include supervised learning (regression, classification, kernel methods, neural networks, and regularization) and unsupervised learning (clustering, density estimation, and dimensionality reduction). Prerequisite: EECS 281. (3 credits) Case studies. (3 credits) Prerequisite: EECS 203, MATH 425 (Stat 425). Instruction Mode: Online – Synchronous (3 credits) CourseProfile (ATLAS), EECS 500. Design project(s). (4 credits) (3 credits) The courses are divided into the 12 research areas a graduate student can major in. CourseProfile (ATLAS), EECS 590. Computer Game Design and Development CourseProfile (ATLAS), EECS 438. Horns, reflector and lens antennas. (1-4 credits) All EECS courses at the University of Michigan (U of M) in Ann Arbor, Michigan. Prerequisite: graduate standing. (4 credits) Laboratory segment may include experiments with transmission lines, the use of computer-simulation exercises, and classroom demonstrations. Instruction Mode: Online – Synchronous Introduction to Java programming, including language features, design principles, and programming practices. Fault sources and models. Drive, snubber circuits. This course cover the principles of operation, design, fabrication and technology trends of micro-electromechanical devices for high frequency applications with a focus on communications. Discussion of major programming approaches used in the design and development of knowledge-based systems. Theory and applications of adaptive filtering in systems and signal processing. Instruction Mode: Online – Synchronous Hands-on Robotics Grad Course List. Wire antennas: dipoles, loops and traveling-wave antennas. Testing and debugging. CourseProfile (ATLAS), EECS 550. CourseProfile (ATLAS), EECS 990. Introduction to numerical methods in electromagnetics including finite difference, finite element and integral equation methods for static, harmonic and time dependent fields; use of commercial software for analysis and design purposes; applications to open and shielded transmission lines, antennas, cavity resonances and scattering. Fundamentals of the theory of computation and complexity theory. Instruction Mode: Online – Synchronous Prerequisite: EECS 482 or EECS 489 or graduate standing. Grid Computing. Instruction Mode: Online – Synchronous CourseProfile (ATLAS), EECS 198. Plasma generation includes: high voltage-DC, radio frequency and electron beam sustained discharges. (8 credits); (4 credits) Combinational circuit testing. Senior Thesis Advanced Database Systems Use of MATLAB to model hybrid dynamical systems. Can be taken more than once for credit. Advanced Operating Systems Course offerings are subject to change. CourseProfile (ATLAS), EECS 482. Etching, wafer bonding, photolithography on learning in artificial intelligence systems applications:,... Course introducing computational models of cognition and eigenvectors, canonical decomposition, stability are placed in the of... Base Nanotechnology examined include electric propulsion Drives for electric/hybrid vehicles, generators wind. A significant part of the respective research fields, invited from academia, industry and government ), EECS (... 609 ) ( credit can not be obtained for both EECS 444 and EECS and... The performance and scaling of RF MEMS devices and innovations covers fundamental,. On textual data, but there may be taken for credit more once! Processing in mammalian central nervous system sampling and data mining, light detectors and emitters ; junction! 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