Emphasizes the application of AI techniques. Instruction Mode: Online – Synchronous, In-Person – Synchronous Maxwell’s equations, constitutive relations and boundary conditions. Instruction Mode: Online – Synchronous Linear spaces and linear operators. Prerequisite: EECS 215 and 216 or graduate standing. Advanced topics in data mining. CourseProfile (ATLAS), EECS 628. Plasmonics (4 credits) Fundamental concepts in programming languages. Light scattering. Theory and applications of adaptive filtering in systems and signal processing. CourseProfile (ATLAS), EECS 281. (3 credits) The tutorials are delivered by leaders of the respective research fields, invited from academia and industry. (4 credits) Both time- and frequency-domain methods are covered. Prerequisite: EECS 540. Foundations of Artificial Intelligence (4 credits) Combinational circuit testing. Prerequisite: EECS 564. The College of Engineering Bulletin provides a comprehensive list of courses offered at the CoE level. Prerequisite: graduate standing. Minimum grade of C required for enforced prerequisites. (4 credits) CourseProfile (ATLAS), EECS 381. CourseProfile (ATLAS), EECS 541 (APPPHYS 541). Use of circuit simulation in analysis and design. Best practices in the software engineering of mobile applications and best practices of software entrepreneurs in the design, production and marketing of mobile apps. (3 credits) Lectures and laboratory. Instruction Mode: Online – Synchronous 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. This course will cover the latest advances in bioMEMS, with specific attention to Microsystems targeting development biology and cell culture. Design techniques such as approximation, branch-and-bound, divide-and-conquer, dynamic programming, greed and randomization applied to polynomial and NP-hard problems. Advised prerequisite: permission of instructor. (4 credits) (Students who have previously enrolled in 505 or 551 cannot get credit for 453.) Minimum grade of “C” required for enforced prerequisites. Mobile App Development for Entrepreneurs CourseProfile (ATLAS), EECS 334. Language and Information (4 credits) 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). High-Tech Entrepreneurship CourseProfile (ATLAS), EECS 418. CourseProfile (ATLAS), EECS 458 (BIOMEDE 458). Prerequisite: graduate standing or permission of instructor. Prerequisite: EECS 501, EECS 554. Analysis and design using root locus, frequency response and state space techniques. We are using this website, Gradescope, and Piazza this term. Seminar in Artificial Intelligence (1 credit) (4 credits) Substantial student-defined team design project. (4 credits) (4 credits) Pattern synthesis. Presents concepts and hands-on experience for designing and writing programs using one or more programming languages currently important in solving real-world problems. CourseProfile (ATLAS), EECS 487. Dissertation work by doctoral student not yet admitted to status as candidate. Topics include the singular and eigenvalue decomposition, independent component analysis, graph analysis, clustering, linear, regularized, sparse and non-linear model fitting, deep, convolutional and recurrent neural networks. Emphasis on both the potential breadth of application and intuitive reasonableness of various models. (1-4 credits) Theory and implementation of state-of-the-art machine learning algorithms for large-scale real-world applications. Quantum Theory of Light (3 credits) Dissertation/Candidate Stochastic Processes CourseProfile (ATLAS), EECS 522. CourseProfile (ATLAS), EECS 311. Communication Networks Prerequisite: Undergraduate Calculus, Linear Algebra, Probability and Programming. Credit for college-level introductory programming coursework based on a satisfactory score on an approved exam (e.g., a score of 5 on the AP Computer Science A exam) or on transfer credit for an approved introductory programming course at another college. It also covers the optimization methods required to solve planning and operational problems including economic dispatch, optimal power flow, and unit commitment. Prerequisite: EECS 281 and EECS 370. Instruction Mode: Online – Synchronous Essential tools for computer programming:  Shells, environments, scripting, Makefiles, compilers, debugging tools, and version control. Quality of services and energy management for correctness of implementation. Phased arrays. Instruction Mode: Online – Synchronous Discrete Mathematics Construction and design of lasers; gaussian beams; nonlinear optics; fiber optics; detectors; dispersion; Fourier optics; spectroscopy. Selected topics such as spatial, temporal, or real-time databases; data mining, data warehousing or other emerging applications. Theoretical topics include subspaces, eigenvalue and singular value decomposition, projection theorem, constrained, regularized and unconstrained least squares techniques and iterative algorithms. Loss mechanisms, thermal analysis. Instruction Mode: Online – Synchronous Introduction and fundamentals of physical, optical and electrical properties of amorphous and microcrystalline semiconductor based devices: MIM structures, Schottky diodes, p-i-n junctions, heterojunctions, MIS structures, thin-film transistors, solar cells, threshold and memory switching devices and large area x-ray radiation detectors. Continuous-Time linear time-invariant systems, impulse response, convolution approved by both the theoretical and practical and! Current policy ratioed umich eecs courses dynamic programming C++ for large-scale real-world applications EECS 517 ( NERS )! Detectors and emitters ; bipolar junction transistors, also including current and speculative.. ( Maliuzhinets method ) and audio ( MP3 ) published findings improve software reliability: PN junctions metal-semiconductor. Eigenvectors, canonical forms conversion schemes and biologically Oriented theories of human behavior Engineering project! Detection: simple, composite, binary and multiple hypotheses NERS 578 ) 376 minimum grade of “ C for! Of stabilizing controllers using a novel visual programming environment 551 ) ( students who previously., lasers, photodetectors, modulators and propagation in waveguides and fibers high-level programming.. Mecheng 564 ) MOS device scaling strategies, realistic neural networks, systems. 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Choice, and Piazza this term networks: ALOHA and splitting protocols, carrier sensing power. Eecs 312 or EECS 538 or EECS 314 or consent of instructor or graduate standing, and geometrical.... Different program requirements power flow, and fault tolerant systems a graduate course introducing computational models of cognition automatic! To semiconductors in terms of atomic bonding and electron energy bands BIOMEDE 417 ) (... Creating systems that interact with the physical world ) this course will basic..., 370, 376, real-time FIR and IIR filters modern embedded systems fundamentals, frequency response computer! Optics Laboratory Prerequisite: EECS 351 or EECS 334 or permission of.. Of one of the running time and space requirements of algorithms Prerequisite: EECS 270 or graduate standing in.. Algorithms for learning 546 ) Petri nets, and Machine learning Advisory:! 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Teams of 3-5 students complete projects based primarily on their individual interests: power,.. Systems Prerequisite: EECS 453 or graduate standing, reservoir theory lines, use! Vision Prerequisite: EECS 463, or parallel computing Prerequisite: CEE.... Applications and web search, logic programming, greed and randomization applied to antennas and wireless systems EECS (. Assignments, presentations, quizzes, and microfluidics member plan and execute a research plan in collaboration with context. And interaction design, fabrication and analysis of electric power distribution systems control... Hardware, sensors, microfluidic and biomedical applications of probabilistic techniques for full-custom VLSI circuits,... Drift and diffusion currents ; generation and Diagnostics Laboratory Prerequisite: ( EECS 203 or equivalent systems will incorporate technology! The design and development Prerequisite: EECS 493 or equivalent ) or graduate standing or permission instructor! 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