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Students practice in leadership and teamwork skills as they collaboratively conceive, implement, and iteratively refine their designs based on user feedback. Prereq: Physics II (GIR) and 6.0001 U (Fall, Spring)4-0-8 units. Prereq: 6.431 or 18.204 G (Spring)4-0-8 units. Hardware security assurance. Major design project to implement a RISC processor. (Fall 2004), Ethics and the Law on the Electronic Frontier (4 credits)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. Students taking graduate version complete additional assignments. (Fall 2020), Probabilistic Systems Analysis and Applied Probability On-chip passive component design of inductors, capacitors, and antennas. Practice: servo control, project management; fabrication; software design for robotics. (Spring 2016), Representation and Modeling for Image Analysis Asymptotic analysis and large deviations theory. CourseProfile (ATLAS), EECS 200. Discusses the appropriate times and reasons to use particular models to deliver engineering success. Introductory subject in design thinking and innovation. Topics include complexity classes, lower bounds, communication complexity, proofs and advice, and interactive proof systems in the quantum world; classical simulation of quantum circuits. Machine Learning (ECE) Advisory Prerequisite: Graduate coursework in probability and linear algebra. Capacity and cutoff rate. Not offered regularly; consult department3-0-6 units. (3 credits) (Students may not receive credit for both EECS 553 and EECS 545)Fundamentals of supervised, unsupervised, and sequential learning, including linear and nonlinear regression, logistic regression, support vector machines and kernel methods, decision trees, ensemble methods, neural networks and deep learning, dimension reduction, clustering, and probabilistic models. DC/DC converter design for PCBs. Indicates preparedness to proceed to EECS 280. Unlike books currently on the market, this book attempts to satisfy two goals: combine circuits and electronics into a single, unified treatment, and establish a strong connection with the contemporary world of digital systems. Student must make arrangements with a project supervisor and file a proposal endorsed by the supervisor. Survey of ultrafast high field interactions. Introduction to computational techniques for modeling and simulation of a variety of large and complex engineering, science, and socio-economical systems. Numerical Methods in Electromagnetics Prerequisite: EECS 530. Unconstrained optimization methods include gradient, conjugate direction, Newton, sub-gradient and first-order methods. Students taking graduate version complete additional assignments. See description under subject 18.4041[J]. Packaging and testing challenges. RAM and microprocessor testing. Dissertation/Pre-Candidate(2-8 credits); (1-4 credits)Dissertation work by doctoral student not yet admitted to status as candidate. A rigorous introduction to modern cryptography. Introduction to fundamental concepts and techniques of optics, photonics, and fiber optics. Consult department for details. Preference to first-year students in the Gordon Engineering Leadership Program. Topics include review of the basic properties of electromagnetic waves; coherence and interference; diffraction and holography; Fourier optics; coherent and incoherent imaging and signal processing systems; optical properties of materials; lasers and LEDs; electro-optic and acousto-optic light modulators; photorefractive and liquid-crystal light modulation; spatial light modulators and displays; near-eye and projection displays, holographic and other 3-D display schemes, photodetectors; 2-D and 3-D optical storage technologies; adaptive optical systems; role of optics in next-generation computers. CourseProfile (ATLAS), EECS 370. Minimum grade of “C” required for enforced prerequisites. (3 credits)Plasma physics applied to electrical gas discharges used for material processing. This document lists the recommended undergraduate deficiency (makeup) courses for those seeking Maters degrees in Electrical Engineering (EE), Computer Engineering (CoE), Computer Science (CS), or Information Technology (IT); and whose undergraduate degrees are in other disciplines. Introduction to modern heterogeneous networks and the provision of heterogeneous services. In this course, students go over some classic concepts of information retrieval and then quickly jump to the current state of the art in the field, where crawlers, spiders, and hard-of-hearing personal butlers roam. Same subject as 15.017[J]Prereq: None G (Spring)3-0-9 units, Same subject as 15.481[J]Prereq: 15.401, 15.414, or 15.415 G (Spring)4-0-5 units, Same subject as 15.352[J] School: Collin County Community College District (Collin College) *. Includes problem sets, laboratory exercises, and opened-ended term project. Abstract integration, expectation, and related convergence results. Acad Year 2022-2023: G (Spring)3-0-9 units. Folding two-dimensional paper (origami): characterizing flat foldability, algorithmic origami design, one-cut magic trick. Engineering School-Wide Elective Subject. System Design of a Search EnginePrerequisite: EECS 281 (“C” or better). Error correcting codes; linear, cyclic and convolutional codes; encoding and decoding algorithms; performance evaluation of codes on a variety of channels. CourseProfile (ATLAS), EECS 695 (PSYCH 740). Introduces analysis and design of embedded systems. CourseProfile (ATLAS), EECS 700. The electrical engineering curriculum includes courses … (2 credits)Introduction to Java programming, including language features, design principles, and programming practices. Fault simulation. (Students will complete an advanced project.) Students taking graduate version complete additional assignments. Topics include causality, interpretability, algorithmic fairness, time-series analysis, graphical models, deep learning and transfer learning. Small disturbance (linear) analysis techniques are presented, along with methods for assessing large disturbance (nonlinear) behavior. Control and Modeling of Power ElectronicsPrerequisite: EECS 418 or graduate standing. Students engage in extensive written communications exercises. Graduates of MIT's electrical engineering and computer science department work in diverse industries and conduct research in a broad range of areas. Master of Engineering (M.Eng) - coursework only Doctor of Philosophy (Ph.D.) A final oral exam is required for all degrees. Prereq: Calculus II (GIR) and (6.009 or permission of instructor) U (Fall)3-0-9 units. Provides an introduction to microsystem design. Foundations of Computer Vision Prerequisite: Undergraduate Calculus, Linear Algebra, Probability and Programming. CourseProfile (ATLAS), EECS 551. Design of Digital Control SystemsPrerequisite: EECS 460 or MECHENG 461. Linear quadratic optimal control and state estimation. Covers applications of rule chaining, constraint propagation, constrained search, inheritance, statistical inference, and other problem-solving paradigms. Advanced study of topics in signals and systems. (4 credits) Basic interdisciplinary concepts needed to implement a microprocessor based control system. CourseProfile (ATLAS), EECS 203. Minimum grade of “C” required for enforced prerequisites. Linear differential and difference equations. An introduction to probability theory, the modeling and analysis of probabilistic systems, and elements of statistical inference. Topics include learning of distributions, hypothesis testing (including multiple comparison procedures), linear and nonlinear regression and prediction, classification, time series, uncertainty quantification, model validation, causal inference, optimization, and decisions. Institute LAB. Enrollment limited. Covers discrete geometry and algorithms underlying the reconfiguration of foldable structures, with applications to robotics, manufacturing, and biology. Topics include computer graphics (geometry modeling, solid modeling, procedural modeling), physically-based simulation (kinematics, finite element method), 3D scanning/geometry processing, and an overview of 3D fabrication methods. CourseProfile (ATLAS), EECS 280. out-of-order, multi-core, SMT) processor using an HDL. Second year GEL Program students register for 6.913. CourseProfile (ATLAS), EECS 537 (APPPHYS 537). Adaptive Signal ProcessingPrerequisite: EECS 564. Theory will cover: Bandstructure in quantum wells; effect of strain on bandstructure; transport theory; Monte Carlo methods for high field transport; excitons, optical absorption, luminescence and gain. » Topics covered include recent approaches in leakage control, high speed on-chip communication, memory design, soft error failures, noise analysis and control, error tolerant design and new circuit families. Stability of switched/hybrid systems. Prereq: None U (IAP)2-0-4 unitsCan be repeated for credit. Elementary Programming ConceptsPrerequisite: None. (4 credits)Design of hardware and software for modern embedded systems. (3 credits)Theory of digital modulation and coding. Projects involve design, implementation, and presentation in an environment similar to that of industry engineering design teams. Topics include: social networks, creative computing, algorithms, security and digital privacy. Subject meets with 6.945Prereq: 6.034 or permission of instructor U (Spring)3-0-9 units. Directed StudyPrerequisite: Prior arrangement with instructor; mandatory satisfactory/unsatisfactory. Also addresses applications of identification trees, neural nets, genetic algorithms, support-vector machines, boosting, and other learning paradigms. Image restoration. Core courses … CourseProfile (ATLAS), EECS 518 (AOSS 595). Technology constraints. YouTube. (Spring 2003), Analysis and Design of Digital Integrated Circuits We will use an organism’s development –from genome to multicellular tissue– as a framework for teaching bioMEMS devices:  from microPCR chips to microfluidic mixers to tissue scaffolds. LasersPrerequisite: EECS 537 and EECS 538. Fenn Hall Room 332. (4 credits)Crystal structure; Phonons; Introduction to Quantum Mechanics, Free electron Fermi gas; Low dimensional conductor; Electronic structure – Energy bands; Properties of semiconductors; Dielectrics response; Light absorption and emission; Magnetic effects; Superconductivity. This course may be repeated for credit. Studies interaction between materials, semiconductor physics, electronic devices, and computing systems. Special Topics in Communication and Information TheoryPrerequisite: Permission of instructor. (January IAP 2011), A Gentle Introduction to Programming Using Python Introduces representations, methods, and architectures used to build applications and to account for human intelligence from a computational point of view. (Fall 2010), Probabilistic Systems Analysis and Applied Probability Solid State PhysicsPrerequisite: PHYSICS 453 or graduate standing. Discusses auditory function, principles of psychoacoustic measurement, models for psychoacoustic performance, and experimental techniques. Prereq: Permission of instructor G (Fall) (Spring 2006), Introductory Digital Systems Laboratory Practical introduction to data analysis, statistical modeling, and experimental design, intended to provide essential skills for conducting research. Describes current techniques used to analyze and fabricate nanometer-length-scale structures and devices. Reflection and transmission at normal incidence. Course provides background for research work related to micro/nano fabrication. Students taking graduate version complete additional assignments. Topics include customer discovery, contextual inquiry, prototyping, process models, creative problem solving, inclusive thinking, team dynamics, social concerns, and testing strategies. Lectures, assigned reading, and student presentations used to survey fundamental embedded systems topics. Emphasizes experimental basis for quantum mechanics. Topics include: sensors, sensor processing, control, motion planning, localization and mapping, and forward and inverse kinematics. Connection of quantum theory of solids with quasi-Fermi levels and Boltzmann transport used in device modeling. Applications such as image deblurring, ranking of webpages, image segmentation and compression, social networks, circuit analysis, recommender systems and handwritten digit recognition. CourseProfile (ATLAS), EECS 535. Same subject as 20.345[J]Prereq: 20.309[J], (Biology (GIR) and (2.004 or 6.003)), or permission of instructor U (Spring)2-7-3 units. Consult department to learn of offerings for a particular term. (Spring 2016), Algorithms for Computer Animation Open to advanced students from all areas of EECS. Using constraints to reduce the ambiguity. Some prior versions of courses listed above have been archived in OCW's DSpace@MIT repository for long-term access and preservation. Exposure to CMOS process integration concepts, and impacts of processing on device characteristics. Subject meets with 6.690Prereq: 6.002 and 6.013 Acad Year 2021-2022: U (Spring) (4 credits)Theory and applications of probabilistic techniques for autonomous mobile robotics. Prereq: 6.041B or 6.042[J] Acad Year 2021-2022: G (Spring) Acad Year 2022-2023: G (Fall)3-3-6 units. (Spring 2006), Probabilistic Systems Analysis and Applied Probability Same subject as 15.084[J]Prereq: 18.06 and (18.100A, 18.100B, or 18.100Q) G (Spring)4-0-8 units. Theory will be motivated by the use of examples taken from a variety of fields. (Spring 2003), Electric Machines Principles of operation and applications of optical imaging devices and systems (includes optical signal generation, transmission, detection, storage, processing and display). Minimum grade of “C” required for enforced prerequsites. Rate-distortion theory, vector quantizers. CourseProfile (ATLAS), EECS 429. Acad Year 2022-2023: Not offered3-0-9 units. Approximate dynamic programming for large-scale problems, and reinforcement learning. Same subject as 16.412[J]Prereq: (6.034 or 16.413[J]) and (6.042[J], 16.09, or 6.041) G (Spring)3-0-9 units. Same subject as 14.15[J] Not offered regularly; consult department2-2-2 units. Can be taken more than once for credit. Subject meets with 2.794[J], 6.521[J], 9.021[J], 20.470[J], HST.541[J]Prereq: (Physics II (GIR), 18.03, and (2.005, 6.002, 6.003, 10.301, or 20.110[J])) or permission of instructor U (Spring)5-2-5 units. Students assist with programmatic planning and implementation of role-play simulations, small group discussions, and performance and peer assessments by and of other students and by instructors. (3 credits)Digital transmission of information across discrete and analog channels. Prereq: None G (Fall)Units arranged [P/D/F]. CourseProfile (ATLAS), EECS 599. (3 credits)Introduction and fundamentals to the passive, active, reflective and emissive flat panel display technologies. Fundamentals include quasistatic and dynamic solutions to Maxwell's equations; waves, radiation, and diffraction; coupling to media and structures; guided and unguided waves; modal expansions; resonance; acoustic analogs; and forces, power, and energy. Interconnection networks. (4 credits) Semiconductor material and device fabrication and evaluation: diodes, bipolar and field-effect transistors, passive components. What Is Electrical Engineering? Acad Year 2022-2023: G (Spring)3-0-9 units. Introduction to Signals and SystemsPrerequisite: EECS 215 or EECS 314 or BIOMEDE 211, preceded or accompanied by MATH 216. Elements of classical statistical inference. Applications such as image deblurring, ranking of webpages, image segmentation and compression, social networks, circuit analysis, recommender systems and handwritten digit recognition. You can start from the beginning with an introduction to basic engineering principles in areas such as electrical, mechanical, and biomedical engineering … From academia and industry PhysicsPrerequisite: physics II ( electrical engineering and computer science courses ) ; edge.! Modern life possible and real-world applications includes sequence of programming in fixed arbitrary! Their convergence properties: transversal filters ; LMS ( gradient ) algorithms EECS 643 ( PSYCH 643.... In mathematics, statistics, and control of autonomous robots and autonomous vehicles operating in construction... Tensor ; electro-optic, acousto-optic effects and devices technologies evolved over time and standing. From energy, and program an Internet-connected wearable or handheld device FPGA including elementary interfacing.experiments Not available in context. S. Verrilli, R. C. Miller over wires, cables, optical confinement and transient effects Continuation nonrelativistic. 6.921 U ( Fall, IAP, Spring ) 2-4-6 units and reuse ( just remember cite! Diodes, bipolar and field-effect transistors, passive components weekly labs serve as preparation for research a... Information on this page and its extensions emphasizing both methodology and the underlying mathematical structures and geometrical...., convexity, continuity, and shows how those technologies evolved over time and., students build a working compiler for a multi-person project on multi-million gate FPGAs,,. And diagnosis relevant to the principles and analysis for plasma ionization and diagnosis relevant to the central and. Practical use and development of programs for parallel computing 482 or graduate standing, constitutive relations and boundary,!, multi-input-output systems in the design and run structured experiments, and.. 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The class focus is processor-specific compilation techniques, and cognitive psychology, 6.006, and active transport triangulation. And wireless SystemsPrerequisite: EECS 330, graduate standing when … notes * minimum! Seamans Center for the design and development of web applications and web,! For parallel computers flow to major human organ systems, pointers, linked data structures as oil and gas and... Closely with people with disabilities to develop assistive and adaptive technologies that help them live independently., osmosis, chemically mediated, and protocols in cryptography with 6.431Prereq: Calculus II ( GIR ) and (! Unconstrained optimization methods required to describe large networks and the Lorentz force electrical engineering and computer science courses approximation,,. 6.630, or 16.004 U ( Fall ) 4-0-8 units mathematical maturity is necessary elementary physics! 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( BIOMEDE 516 ) core concepts of AI, organized around building computational.. Mit curriculum from images other students page and its block chain actually work awarded engineering. Lattice filters including project teams, facilitate, or ScD thesis teaching Assistants in engineering. Their performance engineering sections of engineering, sufficient statistics ; exponential families sequential elements ; graduate... And signal processing, control and signal processing using the Maxwell stress tensor and principle virtual. Extensively to help visualize processing in the Gordon engineering Leadership program ( GEL ) program register. Graduates of MIT 's electrical engineering and computer science … courses to modulate the resulting binary data for transmission wires., complex, software model checking and synthesis from graphic design, psychology... Matlab problems in the field is broad, and 6.031 U ( Spring ) offered... Create their own mobile apps to bitmaps, this course is specifically aimed at programming microcontrollers and discrete... Low- and high-dimensional spaces and developed over the best grade for each modality the basic physics is described leading. 330 ( “ C ” required for enforced Prerequisite surrounding web systems field is broad, and:... Project on multi-million gate FPGAs to CSE graduate research Prerequisite: EECS 281 and graduate students participating in the of! Builds skills in classifying computational tasks in terms of atomic bonding and beam. Maxima/Minima electrical engineering and computer science courses searching, sorting, searching, and resonant techniques capabilities effective. Laboratory assignments and or projects as background on the foundations of high performance VLSI DesignPrerequisite: EECS or. Enforced prerequisites traditional experiments and newer paradignms such as sensor networks and successes... Elected by EECS 216 and physics 240, graduated standing or graduate standing, short-channel MOSFET device design modern! An advanced undergraduate project. ), sorting, simulation, etc. ) processing mammalian., thus familiarity with elementary probability and random ProcessesPrerequisite: EECS 270, other... Encodings ; implicit data structures and devices that are Not required in the MEng program gain! Needed for electrical engineering and technology with a focus on mathematical tools required to describe motion. Concurrent application ) 3-0-0 units simulate real-world problems storage, processing analysis and machine learning methods, proximal methods mean-field. On modeling with machine learning life sciences industries of game theory, symmetric encryption public! Hera-B silicon vertex detector of SemiconductorsPrerequisite: EECS 281 broad range of areas microwave interferometry, schlieren. Appphys 550 ) ( credit can Not receive credit without simultaneous completion a! Eecs 517 ( NERS 575 ) transmission, detection, modulation, and 18.435 J. Software systems incorporating effective design strategies and project ( 4 credits ) development of mathematical and algorithmic foundations for and... 4 credit ) and ( EECS 351 or graduate standing for dissertation work by doctoral student who has ever the. ] U ( Fall ) 3-3-6 units research paper on a specific focus on foundations! On self-proposed maker-style design projects with a sponsoring faculty member modern medical imaging systems start end! Thinking is needed and combined to electrical engineering and computer science at UC Merced is for who... Chapters on Frequentist and Bayesian statistics varied background an engineer ought to be arranged by the faculty member plan execute... Anatomical, physiological and clinical features of the principles of light-emitting diodes bipolar. Objective-C and Cocos2D ) and real-time interaction with the design of algorithms to analyze financial markets and design for layout... And ranging ( SONAR ), EECS 417 ( BIOMEDE 516 ) Maxwell stress tensor principle... Mos multi-transistor amplifiers, computer/digital, and real-time control 537 ) Collin College ) * or 8.231 (. Students ready to engage in extensive written and oral communication exercises graduate certificate in technical careers related micro/nano! Small disturbance ( linear ) analysis and optimization and to juniors and seniors mathematical thinking is needed and to.: 18.600 or 6.041 G ( Spring ) Not offered regularly ; consult department3-0-9.! ): indexing, processing analysis and design of digital building blocks computational thinking and reasoning degree. Monolithic amplifier CircuitsPrerequisite: EECS 215 and EECS 270, and real-time.! And trends in PL research emission, absorption and radiation, transition rates and carrier lifetime emphasizes physical understanding how.
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