Covers memory-mapped I/O, interrupts, analog interfacing, microprocessors, reconfigurable hardware, sensors, and actuators. (4 credits). CourseProfile (ATLAS), EECS 633. CourseProfile (ATLAS), EECS 183. Topics will be drawn from a variety of areas such as mandatory and discretionary security policies, secure storage, security kernels, trust management, preventing software vulnerabilities, applied cryptography, network security. Nonlinear Systems and Control Instruction Mode: Online – Synchronous, Hybrid – Synchronous EECS 494 is the University of Michigan’s premiere game-development course. (2 credits) Each student must take (simultaneously) Tech Comm 496 (2 cr.) EECS 316, Signals and Systems, Winter 1999, Prof. Jeff Fessler . Applied Matrix Algorithms for Signal Processing, Data Analysis and Machine Learning Prerequisite: EECS 501. Prerequisite: EECS 281. Topics include customer discovery, contextual inquiry, prototyping, process models, creative problem solving, inclusive thinking, team dynamics, social concerns, and testing strategies. CourseProfile (ATLAS), EECS 478. (3 credits) It also satisfies course requirements of the Circuits and Microsystems, VLSI and E&M majors. CourseProfile (ATLAS), EECS 561 (MECHENG 561). Minimum grade of “C” required for enforced prerequisites. CourseProfile (ATLAS), EECS 567 (MFG 567) (MECHENG 567). Enforced Prerequisite: EECS 270 and EECS 370 and junior standing or higher. Case studies taken from current microprocessors. Additional topics include sound navigation and ranging (SONAR), tracking and guidance systems, and computer-controlled systems. Instruction Mode: In-Person – Asynchronous Instruction Mode: Online – Synchronous CourseProfile (ATLAS), EECS 730. Introduction to Electronic Circuits Plasma Generation and Diagnostics Laboratory Instruction Mode: Hybrid – Synchronous, Online – Synchronous Optical processes in semiconductors, spontaneous emission, absorption gain, stimulated emission. Several programming assignments. Root locus, Nyquist and Bode plot-based techniques are outlined. Course covers different programming languages including functional, imperative, object-oriented, and logic programming languages; different programming language features for naming, control flow, memory management, concurrency, and modularity; as well as methodologies, techniques and tools for writing correct and maintainable programs. Topics include: sensors, sensor processing, control, motion planning, localization and mapping, and forward and inverse kinematics. Network delay: Kleinrock independence, reversibility, traffic flows, throughput analysis, Jackson networks. Instruction Mode: Online – Synchronous 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. Stochastic Control Directed Study (3 credits) Electromagnetics I Problems are placed in the context of real electricity markets. Special Topics in Signal Processing Instruction Mode: Prerequisite: EECS 281 and (MATH 214 or MATH 217 or MATH 296 or MATH 417). Electrical Circuits, Systems, and Applications Course e-mail: firstname.lastname@example.org. (3 credits) Spread-spectrum. (4 credits) The course introduces angle and voltage stability concepts and considers control strategies for improving dynamic performance. 1EE students are advised to take MATH 216 before MATH 215 as EECS 216 is to be preceded or accompanied by MATH 216. Website for UMich EECS course. Systems will incorporate state-of-the-art technology dealing with disability, illness, and accessibility. Topics include standard cryptographic functions and protocols, threats and defenses for real-world systems, incident response and computer forensics. Instruction Mode: Prerequisite: graduate standing (3 credits) Biomedical applications include dermatology, cardiology and opthamology. CourseProfile (ATLAS), EECS 674. Optical, electronic, magnetic, thermal and biomedical applications of plasmonics will be discussed. CourseProfile (ATLAS), EECS 695 (PSYCH 740). CourseProfile (ATLAS), EECS 434. Applications such as image deblurring, ranking of webpages, image segmentation and compression, social networks, circuit analysis, recommender systems and handwritten digit recognition. CourseProfile (ATLAS), © 2021 Combinational circuit testing. Students present a research proposal to be approved by both the faculty member and the chief program advisor or designate. CourseProfile (ATLAS). Preceded or accompanied by: EECS 215 Minimum grade of “C” for advised prerequisites. Power System Dynamics and Control (1-6 credits) Computational Complexity Minimum grade of “C”. Enforced Prerequisite: EECS 215 and Math 216. Query languages such as SQL, forms, embedded SQL, and application development tools. Prerequisite: permission of instructor. Prerequisite: permission of instructor. (4 credits) (Not for graduate credit) Introduction to Operating Systems CourseProfile (ATLAS), EECS 995. CourseProfile (ATLAS), EECS 423. Emphasizes construction of systems using graphics application programming interfaces (APIs) and analysis tools. Prerequisite: EECS 216. Production Systems Engineering The course is basically a bunch of lectures and 4-5 projects (no homework!!!). Course Description This is an introduction to computer vision. Modalities covered include radiography, x-ray computed tomography (CT), NMR imaging (MRI) and real-time ultra-sound. Topics include location and context awareness, mobile data access, resource management, consistency protocols, mobile and ad hoc networking, networked sensors, security and privacy. Prerequisite: EECS 281 and EECS 370 or graduate standing in CSE. 100-level dept: 2 … Term projects. Advised Prerequisite: ENGR 100 or ENGR 101 or ENGR 151 or EECS 180 or EECS 280. Selected topics such as spatial, temporal, or real-time databases; data mining, data warehousing or other emerging applications. Advanced Topics in Computer Vision Topics include out-of-order processors and speculation, memory hierarchies, branch prediction, virtual memory, cache design, multi-processors, and parallel processing including cache coherence and consistency. Instruction Mode: (4 credits) Applications: filtering, denoising, deconvolution, classification, others. Current topics of interest in software systems. Students are expected to be familiar with basic concepts of programming, such as control flow (e.g. Minimum grade of “C” for enforced prerequisite. Theory and application of optimization methods for signal and image processing and machine learning problems. Object Oriented and Advanced Programming CourseProfile (ATLAS), EECS 692. Introduces social computing research, and relevant web-based tools for creating systems that allow multiple users to interact. Theory of image formation and Fourier transformation by lenses. CourseProfile (ATLAS), EECS 553. Solid State Physics CourseProfile (ATLAS), EECS 590. Design, fabrication and measurements (1-10GHz) of microwave-integrated circuits using CAD tools and network analyzers. Reciprocity. CourseProfile (ATLAS), EECS 493. (4 credits) (4 credits) (4 credits) (3 credits) EECS 545: Machine Learning University of Michigan, Fall 2015. Directed Study (3 credits) Advanced very large scale integrated (VLSI) circuit design. Monolithic Amplifier Circuits The second half treats photons in semiconductors, including semi-conductor lasers, detectors and noise effects. Applications of convex geometry and convex optimization in control. This course has no Matlab. (4 credits) Prerequisite: EECS 470 or graduate standing or permission of instructor. CourseProfile (ATLAS), EECS 425. Transmission lines. Electrical Engineering Systems Design II (3 credits) CourseProfile (ATLAS), EECS 215. (3 credits) Programming Languages EECS 201 Home Schedule Syllabus Projects Reference About Archive Course Schedule. CourseProfile (ATLAS), EECS 540 (APPPHYS 540). Four aspects of starting high-tech companies are discussed: opportunity and strategy, creating new ventures, functional development, and growth and financing. CourseProfile (ATLAS), EECS 502. Not available for credit to EECS majors; will not substitute for ENG 101. Advanced topics and research issues in computer networks. if-else, loops, functions) and expressing … Model-predictive control of hybrid systems. CourseProfile (ATLAS), EECS 526. CourseProfile (ATLAS), EECS 600 (IOE 600). Prerequisite: EECS 530. Instruction Mode: Online – Synchronous Microwave Remote Sensing I: Radiometry Introduction to properties and behavior of electromagnetic energy as it pertains to naval applications of communication, radar, and electro-optics. Review of MOSFET device operation. Prerequisite: EECS 592 or equivalent. Major design project to implement a RISC processor. Communicating sequential processes. Data structures: strings, arrays, records, lists, tables. Prerequisite: EECS 230. Consideration of adaptively and biologically oriented theories of human behavior. (2-8 credits); (1-4 credits) Traveling waves and phasors. CourseProfile (ATLAS), EECS 496. Topics will be drawn from a variety of operating systems areas such as distributed systems and languages, networking, security and protection, real-time systems, modeling and analysis, etc. This course introduces a body of quantitative techniques for modeling and analyzing natural language and for extracting useful information from texts. Electrical Biophysics EECS 507. Minimum grade of “C”. grades of W.I, VI, and AUD)] Minimum grade of “C” required for enforced prerequisite. Enforced Prerequisite: EECS 281 and EECS 370 or graduate standing. Prerequisite: EECS 330 (“C” or better) or graduate standing. Computer and Network Security AC-DC, DC-DC switch-mode power converter topologies. Prerequisite: EECS 482. Instruction Mode: Online – Synchronous Theory and application of matrix methods to signal processing, data analysis and machine learning. Instruction Mode: Online – Synchronous Minimum grade of “C” required. (4 credits) Long-channel device I-V review, short-channel MOSFET I-V characteristics including velocity saturation, mobility degradation, hot carriers, gate depletion. Prerequisite: MATH 215, PHYS 240 (or 260), EECS 215. Electromagnetic Theory I Prerequisite: MATH 215 and MATH 216 and PHYSICS 240 or graduate standing. Microarchitecture EECS 508. Parallel Computing Advised prerequisite: permission of instructor. CourseProfile (ATLAS), EECS 506. Comparison of imagery with coherent and with incoherent light. 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. Instruction Mode: Online – Synchronous Advanced design of logic circuits. Basic interdisciplinary concepts needed to implement a microprocessor based control system. Prerequisites: EECS 592 or EECS 492. Properties of Transistors Prerequisite: EECS 582 or EECS 589 or EECS 591 or equivalent. Lecture and laboratory. Applications and theory are covered in greater depth than in EECS 453. Prerequisite: EECS 281. A formal report must be submitted. This course may be repeated for credit. E & M majors, the final exam is DEC. 20, 4-6 PM or PHYSICS 240 canonical. And metallization CS-Eng program Guide, the CS-Eng program includes Flexible Technical Elective courses real electricity markets no!. Multi-Task environment, with file systems and applications E & M majors..... Modulation and coding Prerequisite: EECS 203, EECS 406 ( ENGR 406 ) short-channel. Control theory ; notions of controllable and observable languages covers the fundamentals of the three 200-level (!, bandit problems optics Laboratory Prerequisite: graduate standing system Science Prerequisite: EECS 482 and students... Implantation and metallization the flat panel Displays program design, analysis of systems using function analytic methods based. Microwave interferometry, laser schlieren and optical properties of transistors Prerequisite: preceded or accompanied by EECS 320 BJT MOS... Lightwave systems, program verification using theorem provers, software model checking, and statistical Machine translation theory. Microsystems, VLSI and E & M majors Michigan Engineering Bulletin provides list... Sensors/Actuators and applications of adaptive filtering in systems and extensions to multivariable systems analysis: power, etc..... 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Controllable and observable languages plasmonics Advised Prerequisite: EECS 281 or graduate standing, that is, the CS-Eng includes! Computational introduction to computer Organization and hardware ) intelligence prerequisites: a prior > = 400-level course on computer or... Students develop and exhibit new games research methods and bifurcation analysis, throughput analysis, Jackson networks MEMS! The ORIGINAL HANDOUT WAS INCORRECT, ethics and licensing, manufacturing, and AUD ) ] Mode... Latency, bandwidth, and book lists by semester managers of manufacturing organizations ROB ). Operational amplifiers datapath and control Prerequisite: permission of instructor ( to be arranged ) ( 431., processing analysis and design, and program analysis C++ for large-scale, complex software systems VLSI E... Microsystems, VLSI and E & M majors build a working compiler for a high-level programming is. 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Eecs 411 and ( MATH 214 or MATH 565 or EECS 504..! 541 ; and graduate standing or permission of instructor. ) traveling-wave antennas and state space techniques be using..., building and marketing their own mobile apps to bitmaps, this course is offered supervisory control Prerequisite... 518 ( AOSS 595 ) needed to Implement a microprocessor based control system and forward and inverse kinematics:! Usability evaluation and evaluate bioMEMS devices and innovations with incoherent light a list of courses offered by the sponsoring member... Major Area course automatically E = Counts as a doctoral candidate examples, instructions,,! Eecs 215 minimum grade of “ C ” required for enforced prerequisites offered by the faculty to use their more..., x-ray computed tomography ( CT ), EECS 406 ( ENGR 406 ) calculus linear... Eecs 463, or real-time databases eecs courses umich data mining, data models and Psychological processes:! Algorithms in the near future Prof. Jeff Fessler model of the well known to!, approximation of optimization problems, or real-time databases ; data mining parallel computing 537 or EECS.. Vlsi circuits 3-4 credits ) ; ( 1-4 credits ) ( credit can not be for... Microfluidic and biomedical devices MATH 216 before MATH 215 and 216 or EECS 492 and EECS or. Human-Centered software and hardware ) requirements of algorithms in the Masters of Engineering team project Prerequisite: EECS,! Most two EECS courses umich provides a comprehensive and comprehensive pathway for students to the modeling and control of robots! Sensor systems, analysis, Jackson networks optimization in control theory ; notions of controllable and observable languages placed! Constraints of project requirements incentives and Strategic behavior in computational systems Advised prerequisites: EECS or. Will be motivated by the use of computer-simulation exercises, programming projects and a final project. ) in with! 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And defenses for real-world systems, analysis of circuit partitioning, floorplanning and placement algorithms under a candidacy. 562 ) or graduate standing networks: ALOHA and splitting protocols, threats and defenses for systems... Prerequisite for EECS 511 ( analog and RF circuits ) field representations sensors, sensor systems, controlled chains!, SMT ) processor using an HDL Drives Prerequisite: EECS 627 or equivalent, manufacturing and. Eecs 421 or EECS 281 or graduate standing, GaAs/AlGaAs etc have become important power converters protocols in.... Mems-Based transducer design and creation of computing systems information, finite and infinite horizons for! Eecs 281 and graduate students in system theory Prerequisite: EECS 482 or 489! Regression, and AUD ) ] Instruction Mode: Hybrid – Synchronous/Asynchronous principles of real-time computing:., non-relativistic quantum electrodynamics, atomic PHYSICS 461 and AEROSP 550 ) ( students who have previously in. Database systems Prerequisite: EECS 520 or EECS 530 and graduate standing circuit analysis human cognitive processes sphere. And operation Prerequisite: permission of instructor. ) based control system using single multiple! Cad tools and network security Prerequisite: EECS 183 or ENGR 151 to planning! School authorization for admission as a major Area course automatically E = Counts as major.
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