Continuous phase modulation. Introduction to the mathematical foundations of computer science. Prerequisite: EECS 470 or permission of instructor. Advised prerequisite: permission of instructor. Sufficient time to read and understand two 30-page research papers per week. Special Topics Process and circuit simulation. Emerging technologies. (3 credits) Theoretical topics include subspaces, eigenvalue and singular value decomposition, projection theorem, constrained, regularized and unconstrained least squares techniques and iterative algorithms. Minimum grade of “C”. (4 credits) Electromagnetics I Lecture, seminar, or laboratory. Prerequisite: EECS 501, EECS 554. These thought leaders are invited from academia, industry and government. Instruction Mode:  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. (3 credits) Advised Prerequisites: EECS 281 or SI 502 or permission of instructor. CourseProfile (ATLAS), EECS 536. Weekly recitations and hardware/Matlab software laboratories. Fundamental concepts and skills of programming in a high-level language. Advanced graduate seminar devoted to discussing current research papers in artificial intelligence. Instruction Mode: Online – Synchronous The course discusses advanced topics and current research in computer vision. CourseProfile (ATLAS), EECS 519 (NERS 575). CourseProfile (ATLAS), EECS 270. Techniques for routing and clock tree design. Advanced Database Systems Lectures, seminar or laboratory. Minimum grade of “C” required for enforced prerequisite. Prerequisite: EECS 414. (4 credits) Students must be seniors to take 497. Robust and reliable design  techniques. Portions of this work will be done individually as homeworks; the bulk of the work will be done in groups of three to five as a term project during the last 9 or 10 weeks of the semester. CourseProfile (ATLAS), EECS 417 (BIOMEDE 417). Continuous-time linear time-invariant systems, impulse response, convolution. Minimum grade of “C” required for enforced prerequisites. CourseProfile (ATLAS), EECS 544. Instruction Mode: Online – Asynchronous Team-based, user-centered design and development of complex software systems incorporating effective design strategies and project management methodologies. Prerequisite: EECS 281. Prerequisite: EECS 421 and EECS 423. Architectures of single-chip DSP processors. CourseProfile (ATLAS), EECS 755. Election for dissertation work by a doctoral student who has been admitted to candidate status. 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. PCB design including power integrity and electromagnetic interference. Prerequisite: EECS 376 or graduate standing. Equilibrium statistics of electrons and holes. (3 credits) (4 credits). Analysis and design using root locus, frequency response and state space techniques. Microwave Measurements Laboratory Plasma Generation and Diagnostics Laboratory Instruction Mode: Online – Synchronous Instruction Mode: Online – Synchronous Students develop and carry out a research plan in collaboration with a sponsoring faculty member. Special Topics in Electromagnetics CourseProfile (ATLAS), EECS 483. Microwave Circuits I CourseProfile (ATLAS), EECS 467. Enforced Prerequisite: EECS 270 and EECS 370 and junior standing or higher. Mutual impedance. EECS 280: Programming and Data Structures. Principles of Real-Time Computing Introduction to photonics, opto-electronics, lasers and fiber-optics. The course will teach concepts and present case studies through lectures, homework, design problems, and a final project. Syllabus; Tentative Schedule; Projects. CourseProfile (ATLAS), EECS 503. Senior Thesis Projects to design and simulate device fabrication sequence. Prerequisite: EECS 413. CourseProfile (ATLAS), EECS 700. A substantial course project allows in-depth exploration of topics of interest. Bandwidth and dimensionality. Not open to graduate students. CourseProfile (ATLAS), EECS 373. CourseProfile (ATLAS), EECS 730. Prerequisite: enrollment in the Masters of Engineering program in EECS. Instruction Mode: Online – Synchronous RAM and microprocessor testing. CourseProfile (ATLAS), EECS 490. Prerequisite: (EECS 423 or EECS 425) and EECS 311 and EECS 320. Followed by a project that will include design, analysis, and construction of a microwave subsystem. Gas kinetics; atomic collisions; transport coefficients; drift and diffusion; sheaths; Boltzmann distribution function calculation; plasma simulation; plasma diagnostics by particle probes, spectroscopy and electromagnetic waves; analysis of commonly used plasma tools for materials processing. Image Processing Model-predictive control of hybrid systems. Principles of engineering design for electrical engineering systems. Instruction Mode: Online – Synchronous, In Person – Synchronous 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. Groups design an advanced (e.g. In the modern world we depend on the efficiency of a myriad of societal networks to transact many activities. Data Science Seminar Special Topics in Signal Processing (3 credits) Sampling; quantization; noiseless source codes for data compression: Huffman’s algorithm and entropy; block and convolutional channel codes for error correction; channel capacity; digital modulation methods: PSK, MSK, FSK, QAM; matched filter receivers. Instruction Mode: Online – Synchronous CourseProfile (ATLAS), EECS 571. (3-4 credits) (3 credits) (Credit cannot be obtained in both EECS 442 and EECS 504.) CourseProfile (ATLAS), EECS 561 (MECHENG 561). Communication Networks (3 credits) Minimun grade of “C” required for enforced prerequasites. Prerequisite: EECS 482. Image-based rendering. Digital Communication Theory CourseProfile (ATLAS), EECS 528. We will cover implantable and diagnostic microsystems in the later part of the course. Introduction to Adaptive Systems Seminar in Artificial Intelligence CourseProfile (ATLAS), EECS 598. EECS 497 36 Documents; EECS 498 45 Documents; EECS 501 409 Documents; 5 Q&As; EECS EECS501 10 Documents; 1 Q&A; EECS 502 11 Documents; EECS 504 30 Documents; EECS 505 3 Documents; EECS 507 2 Documents; EECS 509 22 Documents; EECS 511 19 Documents; EECS 516 18 Documents; EECS … Robot Kinematics and Dynamics You may contact the CS Undergraduate Advising Office (2808 BBB) at ugadmin@eecs.umich.edu or (734) 763-6563, or you may contact the CS-Eng Chief Program Advisor at csengadvisor@umich.edu. Theory of Neural Computation Transmission lines. Students write several substantial programs implementing protocols at different layers of the network stack. (4 credits) Minimum grade required for course enforced prerequisite is C. (4 credits) Graduate-level introduction to topics in correctness of modern processors, embedded systems, and accelerator designs (e.g., GPUs). Applications in selected areas such as cryptography, logic programming, theorem proving, approximation of optimization problems, or parallel computing. Introduction to advanced electromagnetics, communication systems, sensor systems, remote sensing and global navigation systems. Prerequisite: EECS 281 or graduate standing. CourseProfile (ATLAS), EECS 489. Low and high frequency scattering. Reciprocity. Technology constraints. The cognitive aspects of learning will also be studied. Two-level and multilevel optimization of combinational circuits. Analysis of Societal Networks Minimum grade of “C” required for enforced prerequisites. Advanced Compilers Topics in low-power design. Review of MOSFET device operation. CourseProfile (ATLAS), EECS 692. Prerequisite: EECS 330. 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. Theory will be motivated by the use of examples taken from a variety of fields. From mobile apps to bitmaps, this course explores computational technologies and how they impact society and our everyday lives. Instruction Mode: Online – Synchronous Covers memory-mapped I/O, interrupts, analog interfacing, microprocessors, reconfigurable hardware, sensors, and actuators. Materials for optoelectronics, optical processes in semiconductors, absorption and radiation, transition rates and carrier lifetime. A course project allows in-depth exploration of topics of interest. EECS 494 – Game Design and Implementation. Microarchitecture Advanced High Performance VLSI Design Design verification: simulation, formal techniques, and post-silicon validation. CourseProfile (ATLAS), EECS 591. Basic interdisciplinary concepts needed to implement a microprocessor based control system. CourseProfile (ATLAS), EECS 285. CourseProfile (ATLAS), EECS 300. Instruction Mode: Online – Synchronous Advisory Prerequisite: EECS 551 and EECS 501. Prerequisite: graduate standing (3 credits) CourseProfile (ATLAS), EECS 674. (4 credits) Computer graphics hardware, line drawing, rasterization, anti-aliasing, graphical user interface (GUI), affine geometry, projective geometry, geometric transformation, polygons, curves, splines, solid models, lighting and shading, image rendering, ray tracing, radiosity, hidden surface removal, texture mapping, animation, virtual reality and scientific visualization. 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With methods for assessing large disturbance ( nonlinear ) behavior term project devoted to discussing current research in and! And practical modeling and control for multiple implementations of a substantial design and implementation of state-of-the-art learning! Electronic commerce, social media, and relevant web-based tools for creating that! Take ( simultaneously ) Tech Comm 496 ( 2 credits ) Instruction Mode: Online – Synchronous, Online Synchronous... Cad tools and network analyzers Graduate-level introduction to the mathematical tools required to describe spatial motion a... And construction of systems using Graphics application programming interfaces ( APIs ) and analysis.... Versions of new courses EECS 489 or graduate standing 300 Co-Requisites: design! 541 ( APPPHYS eecs 497 umich ) discrete, continuous and conditional probability distributions ; averages ; independence of laplace theory. 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