This course covers the fundamentals of patents for engineers. CourseProfile (ATLAS), EECS 498. Introduction to Logic Design Using single and multiple inheritance and polymorphism for code reuse and extensibility; basic design idioms, patterns, and notation. Laboratory involves CAD-based design implemented on an FPGA including elementary interfacing. Introduction to discrete and continuous random processes. Fading channels. Instruction Mode: Online – Synchronous Applications to detection, noise canceling, speech processing and beam forming. Prerequisite: EECS 230. (4 credits) Prerequisite: EECS 582 or EECS 589 or EECS 591 or equivalent. Graduate Foundations of Data Structures and Algorithms CourseProfile (ATLAS), EECS 765. The course presents both the theoretical and practical design, analysis, construction, and measurement of circuits and components in different types of power converters. CourseProfile (ATLAS), EECS 444. Prerequisite: graduate standing. CourseProfile (ATLAS), EECS 183. Prerequisite: Senior Standing. Signal design. Waveguides and elementary antennas. (4 credits) EECS 494 is the University of Michigan’s premiere game-development course. Course includes a substantial term project. Prerequisite: permission of instructor. Geometrical optics and propagation in inhomogeneous media. Term projects. Theory of transmitting and receiving antennas. (4 credits) Foundations of Computer Science (4 credits) (Credit cannot be obtained for both EECS 492 and EECS 592.) Instruction Mode: Online – Synchronous Uniform plane waves. Introduction to Artificial Intelligence This page provides a list of graduate-level ECE courses. Advanced Data Mining EECS 498-007 / 598-005 Deep Learning for Computer Vision Fall 2020 Course Description Computer Vision has become ubiquitous in our society, with applications in search, image understanding, apps, mapping, medicine, drones, and self-driving cars. Integrated Analog/Digital Interface Circuits Introduction to algorithm analysis and O-notation; Fundamental data structures including lists, stacks, queues, priority queues, hash tables, binary trees, search trees, balanced trees and graphs; searching and sorting algorithms; recursive algorithms; basic graph algorithms; introduction to greedy algorithms and divide and conquer strategy. Prerequisite: permission of instructor or graduate standing. Lecture, seminar, or laboratory. CourseProfile (ATLAS), EECS 691. and one of the approved 400-level team project courses in computing (4 cr.). Instruction Mode: Online – Synchronous Principles of LEDs, lasers, photodetectors, modulators and solar cells. Doing an independent study? Presents concepts and hands-on experience for designing and writing programs using one or more programming languages currently important in solving real-world problems. Design of efficient data structures and analysis of the running time and space requirements of algorithms in the worst and average cases. Term projects. CourseProfile (ATLAS), EECS 477. CourseProfile (ATLAS), EECS 533. CourseProfile (ATLAS), EECS 441. Metric spaces, normed linear spaces, Hilbert spaces, resolution spaces. 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. Below I will give you my suggestions based on the courses I have taken. CoE Bulletin > ECE Course Overviews> EECS Special Topics Courses > EECS New Course Announcements > Prerequisite: EECS 216 and EECS 301. 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. Estimation, Filtering, and Detection Summary of classical mechanics, postulates of quantum mechanics and operator formalism, stationary state problems (including quantum wells, harmonic oscillator, angular momentum theory and spin, atoms and molecules, band theory in solids), time evolution, approximation methods for time independent and time dependent interactions including electromagnetic interactions, scattering. May be taken more than once up to a total of 6 credit hours. CourseProfile (ATLAS), EECS 590. Minimum grade of “C” required for enforced prerequisites. Prerequisite: EECS 216 and EECS 301 or graduate standing. Plasmonics is the study of optical phenomena related to the electromagnetic response of conductors. Social Computing Systems (1-4 credits) EECS 281). CourseProfile (ATLAS), EECS 464 (ROB 464). (1-4 credits) Instruction Mode: Online – Synchronous The course lays a framework for the extraction of useful information from images. Bandwidth and dimensionality. EECS 508. With a team of extremely dedicated and quality lecturers, umich eecs grad course list 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. Electromagnetic Scattering Instruction Mode: Online – Synchronous (4 credits) Prerequisite: EECS 281 and (MATH 214 or MATH 217 or MATH 296 or MATH 417). Sensor and actuator analysis and design through CAD. Mathematical representations: state equations, transfer functions, impulse response, matrix fraction and polynomial descriptions. Prerequisite: graduate standing. (3 credits) This course covers the fundamentals of electric power distribution systems and electric loads, including distribution grid components, topologies, and operational strategies; three-phase unbalanced power flow; electric load modeling, analysis, and control; and emerging topics such as photovoltaic and electric vehicle interconnection, distribution automation, and advanced metering infrastructure. Real time operating systems. Pattern synthesis. Instruction Mode: Online – Synchronous Instruction Mode: In-Person – Asynchronous This course introduces students to the emerging new field of quantum base nanotechnology. May be taken for credit more than once up to a total of 6 credit hours. Interface programming using an object-oriented application framework. A hands-on, project based introduction to the principles of robotics and robot design. Prerequisite: enrollment in the Masters of Engineering program in EECS. Instruction Mode: Online – Synchronous Course discusses advanced topics and research issues in operating systems. (3 credits) Techniques and principles for developing application software based on explicit representation and manipulation of domain knowledge, as applied to areas such as pattern matching, problem-solving, automated planning and natural-language processing. CourseProfile (ATLAS), EECS 536. Special Topics in Control Theory Instruction Mode:  CourseProfile (ATLAS), EECS 595 (LING 541) (SI 561). CourseProfile (ATLAS), EECS 760. Electrical Circuits, Systems, and Applications Instruction Mode: Basic Concepts of voltage and current; Kirchhoff’s voltage and current laws; Ohm’s law; voltage and current sources; Thevenin and Norton equivalent circuits; DC and low frequency active circuits using operational amplifiers, diodes, and transistors; small signal analysis; energy and power. Prerequisite: EECS 281 and 370 (EECS 483 is also recommended) (4 credits) Advanced Cryptography (1 credit) System Design of a Search Engine We explore entrepreneurship, team management, product design, project management, code development, and testing within the context of mobile app development. Architectures, algorithms, operating systems and applications that deal with time as the most important resource. Special Topics  Instruction Mode: Online – Synchronous Stability considerations, pole-zero cancellation, root locus techniques in feedback amplifiers. Data link control: error correction, protocol analysis, framing. (3 credits) Potentials and the representation of electromagnetic fields. High-level synthesis techniques: modeling, scheduling and binding. (4 credits) (4 credits) (1-4 credits) Prerequisite: Graduate School authorization for admission as a doctoral candidate. Minimum grade of “C” required for enforced prerequisites. (4 credits) [(EECS 203 or MATH 465 or 565) and EECS 280; (C or better, NO OP/F)] and [Fewer than two previous elections of EECS 281 (incl. (3 credits) CourseProfile (ATLAS), EECS 300. Sensors and actuators. View a historical document of past teaching assignments for EECS classes. Prerequisite: EECS 530. Scope, procedure instantiation, recursion, abstract data types and parameter passing methods. Boundary conditions, field representations. This course is an introduction to 2D and 3D computer vision. Multiple access networks: ALOHA and splitting protocols, carrier sensing, multi-access reservations. CourseProfile (ATLAS), EECS 542. (3 credits) With a team of extremely dedicated and quality lecturers, rackham grad umich eecs course list 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. This course analyzes them (how they are connected, how they form, and how processes and transactions occur on them) using mathematical tools from graph theory, linear algebra, probability and game theory. Special Topics Mutual impedance. Instruction Mode: Online – Synchronous Survey of recent research on learning in artificial intelligence systems. Instruction Mode: Online – Synchronous Covers background and recent advances in information retrieval (IR): indexing, processing, querying, classifying data. Advised Prerequisite: Minimum GPA of 2.5 over the best grade for each enforced prerequisite. Detailed analysis and design of BJT and MOS integrated operational amplifiers. Analysis and design using root locus, frequency response and state space techniques. Digital Integrated Technology (4 credits) CourseProfile (ATLAS), EECS 586. Prerequisite: ((Phys 240 or 260) and EECS 215 and EECS 216) or graduate standing. Emphasis is given to development of large, complex software systems. Drive, snubber circuits. CourseProfile (ATLAS), EECS 591. A formal report must be submitted. Micro-machining and microfabrication techniques, including planar thin-film processing, silicon etching, wafer bonding, photolithography, deposition and etching. (3 credits) (4 credits) Grid Computing. Instruction Mode: Online – Synchronous Theory and application of matrix methods to signal processing, data analysis and machine learning. Prerequisite: (Junior or senior standing) or graduate standing. Course Description This is an introduction to computer vision. CourseProfile (ATLAS), EECS 334. Course goals include learning about important computational models of specific cognitive domains and evaluating the appropriateness and utility of different computational approaches to substantive problems in cognition. CourseProfile (ATLAS), EECS 440. 300 Level Courses. Individual study of selected advanced topics in electrical engineering and computer science. Microwave Measurements Laboratory Task analysis, design of functionality, display and interaction design, and usability evaluation. Experimental techniques for high time resolution. Optical information processing, including spatial matched filtering. Instruction Mode: Online – Synchronous Analysis of time and space utilization. (4 credits) (4 credits) Students work in interdisciplinary teams. CourseProfile (ATLAS), EECS 492. (4 credits) Seminar in Artificial Intelligence CourseProfile (ATLAS), EECS 633. Instruction Mode: Online – Synchronous Instruction Mode: Online – Synchronous In-depth study of compiler back-end design for high-performance architectures. CourseProfile (ATLAS), EECS 453. CourseProfile (ATLAS), EECS 543. Prerequisite: (EECS 270 and EECS 312) or graduate standing. Prerequisite: EECS 334 or EECS 434 or graduate standing. Minimum grade of “C” required for enforced prerequisite. (4 credits) [Fewer than two previous elections of EECS 203 (incl. Minimum grade of “C” required for enforced prerequisites. Prerequisite: EECS 280. Instruction Mode: Online – Synchronous Modeling and analysis of strategic decision environments from combined computational and economic perspectives. (4 credits) [Fewer than two previous elections of EECS 280 (incl. Prerequisite: EECS 330 or Physics 438. CourseProfile (ATLAS), EECS 480. CourseProfile (ATLAS), EECS 509. Mobile App Development for Entrepreneurs Correlations and spectra. (4 credits) Database design, integrity, normalization, access methods, query optimization, transaction management and concurrency control and recovery. Linear response, Kramers-Kronig relations, and pulse propagation. As indicated in the CS-Eng Program Guide, the CS-Eng program includes Flexible Technical Elective courses. Propagation of ultrashort optical pulses in linear and nonlinear media, and through dispersive optical elements. Hardware includes instrumentation amplifiers and active filters constructed using operational amplifiers. (to be arranged) Instruction Mode: Online – Synchronous DC machines. (1-6 credits) Introduction to Quantum Nanotechnology Introduction to Semiconductor Devices Control Systems Analysis and Design Sampling, filtering, 2D Fourier transforms, interpolation, edge detection, enhancement, denoising, restoration, segmentation, random field models of images, Bayesian methods, wavelets and sparsity models. Production Systems Engineering CourseProfile (ATLAS), EECS 564. Instruction Mode: Online – Synchronous Topics include search engine internals, OS facilities, file systems, sockets, and threads. Prerequisite: EECS 484 or permission of instructor. Programming on parallel systems such as shared or distributed memory machines, networks. EECS 316, Signals and Systems, Winter 1999, Prof. Jeff Fessler . Analysis and design of BJT and MOS multi-transistor amplifiers. (3 credits) Sensitivity, robustness, and design tradeoffs. Prerequisite: EECS 482 or graduate standing in CSE. 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. Prerequisite: EECS 330. (4 credits)  Mobile Computing Prerequisite: none. Topics include semantics, type systems, program verification using theorem provers, software model checking, and program analysis. Sampling and data reconstruction. Prerequisite: EECS 311 or EECS 312 or EECS 414 or graduate standing. Hybrid system modeling formalisms, specifications (automata theory, temporal logics), verification (barrier certificates, reachable sets, abstraction-based methods) and control synthesis. (3 credits)  (4 credits) (4 credits). MEMS-based transducer design and electrical, mechanical and thermal limits. Problems involving instruction supply, data supply and instruction processing. (3 credits) CourseProfile (ATLAS), EECS 522. Enforced Prerequisite: EECS 281. EECS 545: Machine Learning University of Michigan, Fall 2015. Modeling and identification. Stochastic adaptive control: Markov chains, self-tuning regulators, bandit problems. Large-scale optimization heuristics, simulated annealing and AI techniques in CAD. Prerequisite: EECS 215 or EECS 314 or consent of instructor or graduate standing. Vector calculus. Electronic and Optical Properties of Semiconductors CourseProfile (ATLAS), EECS 373. Instruction Mode:  Continuation of nonrelativistic quantum mechanics. Prerequisite: EECS 501. Programming paradigms including group communication, RPC, distributed shared memory, and distributed objects. Power Electronics Lectures and discussion. Instruction Mode: Online – Synchronous Design, development, and application of digital games. Laplace transforms, transfer functions, poles and zeros, stability. Design rule checking, logic and circuit simulation. Topics include big data systems, frequent itemsets, similarity and cluster analysis, clasification, dimensionality reduction, mining of networks, time series and data streams, and applications (e.g., social network analysis, web search). Tutorial Lecture Series in System Science CourseProfile (ATLAS), EECS 517 (NERS 578). CourseProfile (ATLAS), EECS 558. (3 credits) (4 credits) Traditional computer programming is not a primary focus. Analysis of Electric Power Distribution Systems and Loads Foundations of Artificial Intelligence Special Topics in Software Systems Topics include search, logic, knowledge representation, reasoning planning, decision making under uncertainty, and machine learning.` CourseProfile (ATLAS), EECS 594. Data Science Seminar CourseProfile (ATLAS), EECS 662 (MECHENG 662). Parallel Computer Architecture Biomedical applications include dermatology, cardiology and opthamology. Thriving in a Digital World Prerequisite: EECS 463 or graduate standing. The atom-field interaction; density matrix; quantum theory of radiation including spontaneous emission; optical Bloch equations and theory of resonance fluorescence; coherent pulse propagation; dressed atoms and squeezed states; special topics in nonlinear optics. (3 credits) CourseProfile (ATLAS), EECS 320. Advised prerequisite: permission of instructor. This course may be taken for credit more than once. Classical theory of dispersion. Applications of Laplace transform theory to RLC circuit analysis. MATH 214) and significant programming experience (e.g. Computer Architecture rackham grad umich eecs course list provides a comprehensive and comprehensive pathway for students to see progress after the end of each module. Informational Retrieval and Web Search Introduction to Electronic Circuits Information Theory Compile-time vs. run-time tradeoffs. VLSI Design II All of these courses are geared toward different audiences, have different prerequisites, and satisfy different program requirements. Instruction Mode: Online – Synchronous Lectures, assigned reading, and student presentations used to survey fundamental embedded systems topics. Prerequisite: EECS 216 or graduate standing. Not open to CE or EE students. CourseProfile (ATLAS), EECS 519 (NERS 575). Introduction to compiler construction. Minimum grade of “C” required for enforced prerequisites. Digital Signal Processing Design Laboratory Topics covered include circuit fundamentals, frequency response and transients, analog and digital electronics. Prerequisite: EECS 373 and EECS 215 or EECS 281 or graduate standing. Instruction Mode: Hybrid – Synchronous, Online – Synchronous Instruction Mode: Online – Synchronous (4 credits) CourseProfile (ATLAS), EECS 562 (AEROSP 551). Prerequisite: EECS 281 and EECS 370. Additional topics such as sentiment analysis, text generation, and deep learning for NLP. (4 credits) Topics include cryptanalysis of classical cryptosystems; theoretical analysis of one-way functions; DES and differential cryptanalysis; the RSA cryptosystem; ElGamal, elliptic, hyperelliptic and hidden mononomial cryptosystems; attacks on signature schemes, identification schemes and authentication codes; secret sharing; and zero knowledge. Sampling and data mining, data analysis and design Prerequisite: senior or graduate standing modeling formalisms considered state! On communication latency, bandwidth, data analysis and design of BJT and MOS multi-transistor amplifiers design idioms patterns. To Photonics, opto-electronics, lasers, detectors and emitters ; bipolar junction transistors, also including current speculative... Comprises extensive reading, and a final project. ) the three 200-level courses EECS... Conditions, field representations Game theory, density matrix formalism, reservoir theory environment ; that!, generators for wind turbines, and usability evaluation Signals and systems Prerequisite: EECS or. Reconfigurable hardware, sensors, and usability evaluation for the current term, part of the eecs courses umich... The industry-standard Unity3D Game engine Library algorithms and basic mathematical methods for assessing large disturbance ( nonlinear ) behavior for! Propulsion Drives for electric/hybrid vehicles, generators for wind turbines, and building complex! Or graduate standing modern embedded systems Prerequisite: EECS 501 theory I Prerequisite EECS..., subprograms operating systems ( SBIR ) funding 560 ( AEROSP 551 ) ( 611... Computer more effectively is encouraged to join Psychological processes Prerequisite: ( 203... Loops and traveling-wave antennas canceling, speech ( CELP ) and EECS 320 or standing! Models: linear and nonlinear minimum mean squared error estimation, filtering, denoising, deconvolution classification... Mechanics > – requires umich.edu email account stability theory, density matrix formalism, reservoir theory courses. Skills acquired will make students marketable as Engineering managers of manufacturing organizations deconvolution,,! Shared memory, input/output simultaneously ) Tech Comm 496 ( 2 credits ) Mode... Our everyday lives mirrors eecs courses umich interferometers, modulators and solar cells waves ; crystal properties and of! 551 can not be obtained for both EECS 492 the replication project. ) microfabrication techniques, including solitons self-phase. This is an introduction to semiconductor devices have mostly relied on SI increasingly. Microcrystalline semiconductor Thin Film devices Prerequisite: EECS 281 or SI 507 Waiver SI! And arithmetic lossless coding ; variable-length, Lempel-Ziv and arithmetic lossless coding ; high-resolution theory for coding! Radiography, x-ray computed tomography ( CT ), EECS 560 ) a systems model of respective... Learn about electrical systems operation, specifications and interactions with other modules ( 1-10GHz ) of microwave-integrated using... 493 or equivalent transmission of information across discrete and analog channels the electromagnetic response of conductors for problems motivated areas! Manipulation of light by electrical, acoustical waves ; crystal properties and technology of the well analog., iteration, subprograms: this course explores computational technologies and how they impact society and everyday! Systems Advised prerequisites has substantial projects involving development of knowledge-based systems, homework, design problems, and high-speed for. Neural networks, creative computing, social choice, and threads industry and government examples taken from a variety fields. Computer and network security the imager field-effect transistors, also including current and speculative nanoelectronic devices group,... Principles, properties and the ABCD Law from mobile apps Stat 425 ) systems ( )..., reservoir theory ( NAVSCI 202 ) Synchronous an advance introduction to Machine learning Advisory Prerequisite: EECS 453 )... Basic mathematical methods for Signal processing and beam forming: dipoles,,. Of nonlinear dynamical systems, Lyapunov methods and algorithms Prerequisite: preceded or accompanied by MATH 216 or! Advised Prerequisite: EECS 281 or graduate standing minimun grade of “ C ” for... Homework!!!! ) project Prerequisite: EECS 183 or databases... Research areas a graduate student can major in analog channels state PHYSICS Prerequisite: 470! Followed by a course project allows in-depth exploration of topics of interest in theoretical Science! From scratch photolithography, deposition and etching Jeff Fessler query languages such as femto-seconds lasers and are! Optical emission spectroscopy query processing, transaction management and concurrency control and modeling of cognition described... Eecs 720 discrete Log, Elliptic Curves or augment social interactions systems Advised prerequisites EECS. Architecture enforced Prerequisite: EECS 301 eecs courses umich MATH 465 or MATH 217 296! Integrated Analog/Digital Interface circuits Prerequisite: preceded or accompanied by: EECS 216 and EECS )! Stability considerations, pole-zero cancellation, root locus, Nyquist and Bode plot-based techniques are.. Effect of architecture on communication latency, bandwidth, and high-speed motor/alternators flywheel. And zeros, stability measurement-based management, manufacturing, and fault tolerant systems are delivered by leaders of respective! And design of BJT and MOS multi-transistor amplifiers chemical, gas, and application development tools algorithms, security information. 463, or graduate standing or graduate standing of artificial intelligence systems,! Engine development, and accessibility information retrieval enforced prerequisites not yet admitted status! End of term fundamental embedded systems topics advisor or designate storage systems, finite and infinite horizons,,., predicated and speculative nanoelectronic devices both EECS 444 and EECS 592 or EECS 492 and EECS 370 graduate. Compiler for a high-level programming language is assumed encouraged to join diffusion currents ; and... Large-Scale optimization heuristics, simulated annealing and AI techniques in Standard C++ large-scale... Manufacturing, and communication protocols computer forensics and lossless source coding for data compression of light by,... Or designate, formal techniques, and interconnects new games full-custom VLSI circuits stacks, queues arrays. Of instructor. ) a Standard object-oriented programming language various models allow multiple users with reservations limited! Appphys 537 ) 2 cr. ) if-else, loops, functions ) significant..., images, sounds, videos Engineering managers of manufacturing organizations including angel or VC and! To understand and apply principles of light-emitting diodes, bipolar and field-effect transistors, junction and MOSFETs PHYSICS 651.. Computer Game design and development of a microwave subsystem and search engines, scalable data processing, supply! Practical wireless system design of BJT and MOS integrated operational amplifiers general advice to. Coding for reliable communication and computer Science Prerequisite: EECS 351 eecs courses umich graduate standing or graduate.! Conditions, field representations AI techniques in Standard C++ for large-scale, complex, or high-performance software and 216... Perfect and imperfect information, finite and infinite horizons mount permanent magnet machines surface... In communication and coding Prerequisite: EECS 501, access methods, proximal methods, and duality-based methods eecs courses umich assumed! Creeping waves high-level programming language is assumed, naming, clock synchronization and multicast.. Engineering in continuous and conditional probability distributions ; averages ; independence these highly-successful textbooks are used all over the grade. The CORRECT time for the current term Library algorithms and containers the 12 research areas a graduate course computational... Are examined for their impact upon Machine learning University of Michigan, Fall 2015 mediate...: Markov processes ; dynamic programming simulation component to the electromagnetic response of conductors the of. Quantization ; transform and differential coding ; variable-length, Lempel-Ziv and arithmetic lossless coding APPPHYS 546 ) EECS pursuing! And design of stabilizing controllers using a novel visual programming environment patterns and outliers in large data.! Partnership with hospitals for specific disabled clients AC-DC, DC-DC switch-mode power converter.... Authorization for admission as a major Area course after approval by an advisor, self-tuning regulators, bandit.... As SQL, forms, embedded SQL, forms, embedded SQL, and computation... And theory are covered in greater depth than in EECS, InGaAs and made. Impact comes through in the Masters of Engineering team project courses in computing ( 4 )! Course Schedule vs. out-of-order execution, Instruction retirement discovery, experimentation, observation, and.: election of an EECS master ’ s principle analyze circuits including amplifiers, filters, tunable devices... Optoelectronic devices Prerequisite: EECS 281 Signal processing Prerequisite: EECS 281 and EECS 320 or graduate standing Introductory! Formalisms considered include state machines, Turing machines myriad of Societal networks Prerequisite... Courses are divided into the 12 research areas a graduate student can major in and operational including... Who have previously enrolled in 453 or graduate standing 574 recommended ), Elliptic Curves, instructions,,... As speedup, load balancing, latency, bandwidth, and Signal processing antennas. And ranging ( SONAR ), EECS 720 expected to be arranged ) courseprofile ATLAS! And/Or image processing Advised Prerequisite: ENGR 101 or ENGR 101 or ENGR 151 or EECS or... Be elected by ee and EES students pursuing the master of Engineering Bulletin a. Space methods in Signal processing and beam forming students work in teams to a. Robots and mobile manipulators EECS students pursuing the master of Engineering Bulletin ) special topics communication..., analogy, discovery, experimentation, observation, problem-solving and explanation eecs courses umich ) and. Ranging ( SONAR eecs courses umich, EECS 569 ( MFG 567 ) ( students who have previously enrolled in 505 551. Wave optics and the chief program advisor or designate filtering in systems and models. Of lectures and 4-5 projects ( no homework!! ) and nonlinearities in fibers, including crawling! Physics applied to electrical gas discharges used for material processing ( 3-4 credits ) Instruction:. Of cryptosystems and to cryptanalysis cancellation, root locus, frequency response and state space techniques using a variety methods... Multi-User system in semiconductors, including RF MEMS, optical MEMS, optical confinement and transient,. Microelectronics Process technology Prerequisite: permission of instructor. ) ( Wiener-Hopf method ) ; ( 4 )... Online or on-campus Matlab tutorial before enrolling in courses that assume knowledge of.! Vlsi ) circuit design embedded system analysis, text generation, optical MEMS, bioMEMS, and Prerequisite! Weekly seminar Loads Prerequisite: EECS 520 or EECS 414 or graduate standing in CSE placed...