Flat Panel Displays Emphasis on using these concepts in systems problems. CourseProfile (ATLAS), EECS 597 (SI 760) (LING 702). Detailed study of static current-voltage characteristics and models for small and large signal behavior. Datapath and control for multiple implementations of a processor. Prerequisite: EECS 470, EECS 482 or permission of instructor. Prerequisite: Senior standing. CourseProfile (ATLAS), EECS 700. At least 27 credits must be upper-level. Data Science Seminar Amorphous and Microcrystalline Semiconductor Thin Film Devices Computer-based experiment and discussion sessions are included in the course. CourseProfile (ATLAS), EECS 591. Instead, mobile applications will be created using a novel visual programming environment. Prerequisite: none. Applications such as image deblurring, ranking of webpages, image segmentation and compression, social networks, circuit analysis, recommender systems and handwritten digit recognition. Students are expected to work in project teams. Carrier dynamics; continuity, drift and diffusion currents; generation and recombination processes, including important optical processes. (3 credits) Materials for optoelectronics, optical processes in semiconductors, absorption and radiation, transition rates and carrier lifetime. Relations between complexity classes, NP-completeness, P-completeness, and randomized computation. (2-4 credits) Prerequisite: EECS 489. A course project allows in-depth exploration of topics of interest. Advised Prerequisite: EECS 501; Corequisite:  EECS 453 or EECS 551. Theory, systems and applications of active and passive microwave remote sensing:  radiative transfer; blackbody radiation; microwave radiometry; atmospheric propagation and emission; radiometer receivers; surface and volume scattering and emission; radar systems; resolution techniques; calibration; synthetic aperture radar; scatterometers; applications to meteorology, oceanography and hydrology. Magnetostatics. Instruction Mode: In Person – Asynchronous, Hybrid – Synchronous, Online – Synchronous Topics of current interest in electrical engineering and computer science. Instruction Mode: Online – Synchronous Gaussian beams and ABCD law. The cognitive aspects of learning will also be studied. Theory and applications of adaptive filtering in systems and signal processing. Introduction to the description and analysis of systems using function analytic methods. Greater emphasis on applications than in EECS 551. Foundations of Artificial Intelligence Root locus, Nyquist and Bode plot-based techniques are outlined. Minimum grade of “C” required for enforced prerequisites. CMOS circuit delay and power analysis. Topics include: social networks, creative computing, algorithms, security and digital privacy. Current topics of interest in software systems. To be graded on satisfactory/unsatisfactory basis ONLY. Enforced Prerequisite: EECS 203, EECS 270, and senior standing or graduate standing. Discussion of major programming approaches used in the design and development of knowledge-based systems. Applied Quantum Mechanics II CourseProfile (ATLAS), EECS 491. Instruction Mode: Online – Synchronous Prerequisite: EECS 482 or EECS 489 or graduate standing. Knowledge-Based Systems 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 180. Fundamental concepts and methods in data mining, and practical skills for mining massive, real data on distributed frameworks (e.g., Hadoop). CourseProfile (ATLAS), EECS 376. (4 credits) (Students who have previously enrolled in 505 or 551 cannot get credit for 453.) Research issues in database systems chosen for in-depth study. Prerequisite: EECS 414. CourseProfile (ATLAS), EECS 522. This course covers the fundamentals of patents for engineers. Aggressive branch prediction. CourseProfile (ATLAS), EECS 480. Uniform plane waves. Quantum Theory of Light CourseProfile (ATLAS), EECS 560 (AEROSP 550) (CEE 571) (MECHENG 564). Introduction to Autonomous Robotics Iterative methods of optimization and their convergence properties: transversal filters; LMS (gradient) algorithms. CourseProfile (ATLAS), EECS 481. Uniqueness, duality, equivalence, reciprocity and Babinet’s theorems. Prerequisite: graduate standing. Prerequisite: EECS 460 or AEROSP 348 or MECHENG 461 and AEROSP 550 (EECS 560). (4 credits) CourseProfile (ATLAS), EECS 370. Laboratory techniques for plasma ionization and diagnosis relevant to plasma processing, propulsion, vacuum electronics, and fusion. CourseProfile (ATLAS), EECS 600 (IOE 600). Minimum grade of “C” required for enforced prerequisite. (4 credits) This course covers most of the well known analog to digital conversion schemes. Prerequisite: EECS 484 or permission of instructor. Cannot receive credit if student has credit for EECS 183 or ENGR 101 or ENGR 151 (3-4 credits). CourseProfile (ATLAS), EECS 531. Instruction Mode: Online – Synchronous Prerequisite: EECS 330 and EECS 334. Instruction Mode: Online – Synchronous Course discusses advanced topics and research issues in operating systems. Research Work in Electrical Engineering and Computer Science DC motors. Design project(s). Instruction Mode: Online – Synchronous Design project using CAD and report preparation. Correct Operation for Processors and Embedded Systems A student can receive credit for only one: EECS 334 or PHYSICS 402. Prerequisite: Enforced: EECS 281. CourseProfile (ATLAS), EECS 627. Our excellence and impact comes through in the work of our two divisions. (4 credits) Prerequisite: EECS 463 or graduate standing. Wire antennas: dipoles, loops and traveling-wave antennas. CourseProfile (ATLAS), EECS 892. Prerequisite: EECS 330 or Physics 438. Introduction to theory of computation. Continuous-time linear time-invariant systems, impulse response, convolution. Stochastic Control Topics include customer discovery, contextual inquiry, prototyping, process models, creative problem solving, inclusive thinking, team dynamics, social concerns, and testing strategies. (4 credits) (Credit cannot be obtained for both EECS 442 and EECS 504.) (4 credits) Drive, snubber circuits. Instruction Mode: Online – Synchronous Emphasizes team-based development of large, complex, software systems using established software development methodology. Introduction and fundamentals to the passive, active, reflective and emissive flat panel display technologies. CourseProfile (ATLAS), EECS 381. Fundamental limits in coding and modulation. Linear Systems Theory Advanced Lasers and Optics Laboratory This course may be repeated for credit. Minimum grade of “C” required for enforced prerequisites. Decidable and undecidable problems. (2 credits)  Analog Integrated Circuits Current courses in this category are listed here. (1-4 credits) Optical, electronic, magnetic, thermal and biomedical applications of plasmonics will be discussed. Advanced angular momentum theory, second quantization, non-relativistic quantum electrodynamics, advanced scattering theory, density matrix formalism, reservoir theory. Prerequisite: EECS 330. Minimum grade of C required for enforced prerequisites. EECS Grading & Repeat Policies A computational introduction to the modeling and control of autonomous robots and mobile manipulators. Introduction to communications, control and signal processing. Prerequisite: None. CourseProfile (ATLAS), EECS 458 (BIOMEDE 458). Instruction Mode: Online – Synchronous Prerequisite: Enforced: EECS 301 or MATH 425 or STATS 425 or STATS 412 or STATS 426 or IOE 265 or equivalent. Techniques: scalar and vector quantization; transform and differential coding; variable-length, Lempel-Ziv and arithmetic lossless coding. Minimum grade of “C”. Instruction Mode: In Person – Synchronous, Online – Synchronous, In Person – Asynchronous (4 credits) Lectures and laboratory. Wide-issue processors, in-order vs. out-of-order execution, instruction retirement. To be graded on a satisfactory/unsatisfactory basis ONLY. (4 credits)  Samuel’s strategies, realistic neural networks, connectionist systems, classifier systems and related models of cognition. Design techniques for full-custom VLSI circuits. Minimum grade of “C” required for enforced prerequisites. Advanced Operating Systems Minimum grade of “C” required for enforced prerequisites. Computer Game Design and Development Prerequisite: Senior Standing. (3 credits) Instruction Mode: Online – Synchronous Special Topics in Communication and Information Theory Hybrid Systems, Analysis, and Control Principles of designing application-specific computer systems that interact with the physical world. A satisfactory grade is obtained in this course by regular attendance at the weekly seminar. CourseProfile (ATLAS), EECS 554. Prerequisite: EECS 330. Instruction Mode: Online – Synchronous Pragmatic aspects of the production of software systems, dealing with structuring principles, design methodologies and informal analysis. Advised prerequisite: EECS 230, Physics 240, graduated standing or permission of instructor. Advanced Embedded Systems Instruction Mode: In-Person – Synchronous, Online – Asynchronous/Synchronous Design of hardware and software for modern embedded systems. 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. Instruction Mode: Online – Synchronous, Hybrid – Synchronous (3 credits) Instruction Mode: Online – Synchronous Operating system design and implementation: multi-tasking; concurrency and synchronization; inter-process communication; deadlock; scheduling; resource allocation; memory and storage management; input-output; file systems; protection and security. 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. (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. Basic passive and active electronic filters. Instruction Mode: Hybrid – Synchronous, Online – Synchronous Principles of real-time computing based on high performance, ultra reliability and environmental interface. Apply electrical engineering concepts in circuits, computing, control, sensors, optics, power, signal processing, and wireless communications to a system such as a robot, and adapt the system to achieve competition objectives within defined engineering constraints. Instruction Mode: Online – Synchronous In the modern world we depend on the efficiency of a myriad of societal networks to transact many activities. 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. Hands-on Robotics This course may be repeated for credit. Error correcting codes; linear, cyclic and convolutional codes; encoding and decoding algorithms; performance evaluation of codes on a variety of channels. Detailed analysis and design of analog integrated circuits, including power amplifiers, voltage references, voltage regulators, rectifiers, oscillators, multipliers, mixers, phase detectors and phase-locked loops. CoE Bulletin > ECE Course Overviews> EECS Special Topics Courses > EECS New Course Announcements > (4 credits) Analysis of Electric Power Distribution Systems and Loads Autocode generation for rapid prototyping. (1 credit) (3 credits)  Master of Engineering Team Project Instruction Mode: Online – Synchronous Tutorial Lecture Series in System Science Prerequisite: none. Theoretical treatment and concrete examples, e.g., feature learning, segmentation image stitching, both covered. And observable languages, communication systems, ultra-high-peak power lasers and ultrahigh power lasers and fiber-optics instructor ; satisfactory/... Applications will be stressed realistic neural networks, connectionist systems, Lyapunov methods and applications computation... 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