uk: Комп'ютерні науки

uk: вхід без авторизації


Massachusetts Institute of Technology

addressCountry: US

addressLocality: Cambridge

addressRegion: Massachusetts

type: Organization

Charles Leiserson

honorificPrefix: Prof.

type: Person

keywords:
Engineering
Computer Science
Systems Engineering
Software Design and Engineering
Algorithms and Data Structures
Systems Optimization

cs: Informatika

de: Informatik

fi: tietojenkäsittelytiede

uk: Комп'ютерні науки

en: Computer Science

fr: Informatique

da: Datalogi

es: Ciencias de la Computación

nl: Informatica

cs: Technické vědy

de: Ingenieurwissenschaften

fi: tekniikka

uk: Інженерія

en: Engineering Sciences

fr: Ingénierie

da: Ingeniørvidenskab

es: Ingeniería

nl: Engineering

MIT OpenCourseWare

type: Service

type: WebContent

name: Performance Engineering of Software Systems

@language: en

cs: přihlášení není vyžadováno

de: keine Anmeldung erforderlich

uk: вхід без авторизації

en: no login required

nl: geen login vereist

name: Lecture 17: Synchronization Without Locks

cs: Video

de: Video

fi: Video

uk: Відео

en: Video

fr: Vidéo

da: Video

nl: Video

es: Video


uk: Комп'ютерні науки

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name: Lecture 18: Domain Specific Languages and Autotuning


Lecture 19: Leiserchess Codewalk

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uk: Комп'ютерні науки

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name: Lecture 2: Bentley Rules for Optimizing Work


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name: Lecture 20: Speculative Parallelism & Leiserchess


Lecture 21: Tuning a TSP Algorithm

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Lecture 22: Graph Optimization

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uk: Комп'ютерні науки

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name: Lecture 23: High Performance in Dynamic Languages


Lecture 3: Bit Hacks

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uk: Комп'ютерні науки

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name: Lecture 4: Assembly Language & Computer Architecture


Lecture 5: C to Assembly

uk: Комп'ютерні науки

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Lecture 6: Multicore Programming

uk: Комп'ютерні науки

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Lecture 7: Races and Parallelism

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uk: Комп'ютерні науки

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name: Lecture 8: Analysis of Multithreaded Algorithms


uk: Комп'ютерні науки

uk: вхід без авторизації

name: Lecture 9: What Compilers Can and Cannot Do


uk: Комп'ютерні науки

uk: вхід без авторизації

name: 6.172 Performance Engineering of Software Systems, Practice Quiz 1

cs: Cvičení

de: Übung

fi: Harjoitus

uk: Практика

en: Drill and Practice

fr: Apprentissage par Répétition

da: Øvelse

nl: Oefenen

es: Práctica


uk: Комп'ютерні науки

uk: вхід без авторизації

name: 6.172 Performance Engineering of Software Systems, Practice Quiz 1 Solutions


uk: Комп'ютерні науки

uk: вхід без авторизації

name: 6.172 Performance Engineering of Software Systems, Practice Quiz 2


uk: Комп'ютерні науки

uk: вхід без авторизації

name: 6.172 Performance Engineering of Software Systems, Practice Quiz 2 Solutions


uk: Комп'ютерні науки

uk: вхід без авторизації

name: 6.172 Performance Engineering of Software Systems, Practice Quiz 3


uk: Комп'ютерні науки

uk: вхід без авторизації

name: 6.172 Performance Engineering of Software Systems, Practice Quiz 4


uk: Комп'ютерні науки

uk: вхід без авторизації

name: 6.172 Performance Engineering of Software Systems, Practice Quiz 4 Solutions


Operating System Engineering

keywords:
Engineering
Computer Science
Operating Systems

uk: Комп'ютерні науки

description: This is a course on the design and implementation of operating systems and their use as a foundation for systems programming. Topics covered include virtual memory; file systems; threads; context switches; kernels; interrupts; system calls; and interprocess communication, coordination, and interaction between software and hardware. A multi-processor operating system for RISC-V, xv6, is used to illustrate these topics. Individual laboratory assignments involve extending the xv6 operating system, for example to support sophisticated virtual memory features and networking.

uk: вхід без авторизації

cs: Kurz

de: Kurs

fi: Kurssi

uk: Курс

en: Course

fr: Cours

da: Kursus

nl: Cursus

es: Curso


Mobile Autonomous Systems Laboratory

keywords:
Engineering
Computer Science
Artificial Intelligence
Mechanical Engineering
Electrical Engineering
Robotics and Control Systems

uk: Комп'ютерні науки

de: Maschinenbau/Verfahrenstechnik

uk: Машинобудування/Технологія

en: Mechanical Engineering / Process Engineering

de: Elektrotechnik und Informationstechnik

uk: Електротехніка та інформаційні технології

en: Electrical Engineering and Information Engineering

description:
MASLab (Mobile Autonomous System Laboratory), also known as 6.186, is a robotics contest. The contest takes place during MIT's Independent Activities Period and participants earn 6 units of P/F credit and 6 Engineering Design Points. Teams of three to four students have less than a month to build and program sophisticated robots which must explore an unknown playing field and perform a series of tasks.

MASLab provides a significantly more difficult robotics problem than many other university-level robotics contests. Although students know the general size, shape, and color of the floors and walls, the students do not know the exact layout of the playing field. In addition, MASLab robots are completely autonomous, or in other words, the robots operate, calculate, and plan without human intervention. Finally, MASLab is one of the few robotics contests in the country to use a vision based robotics problem.

uk: вхід без авторизації


keywords:
Engineering
Computer Science
Software Design and Engineering
Programming Languages

uk: Комп'ютерні науки

description:
This course will provide a gentle introduction to programming using Python™ for highly motivated students with little or no prior experience in programming computers. The course will focus on planning and organizing programs, as well as the grammar of the Python programming language. Lectures will be interactive featuring in-class exercises with lots of support from the course staff.

This course is offered during the Independent Activities Period (IAP), which is a special 4-week term at MIT that runs from the first week of January until the end of the month.

uk: вхід без авторизації

name: A Gentle Introduction to Programming Using Python


uk: Комп'ютерні науки

description:
This course will provide a gentle, yet intense, introduction to programming using Python for highly motivated students with little or no prior experience in programming. The course will focus on planning and organizing programs, as well as the grammar of the Python programming language.

The course is designed to help prepare students for [_6.01 Introduction to EECS I_](/courses/6-01sc-introduction-to-electrical-engineering-and-computer-science-i-spring-2011/). 6.01 assumes some knowledge of Python upon entering; the course material for 6.189 has been specially designed to make sure that concepts important to 6.01 are covered.

This course is offered during the Independent Activities Period (IAP), which is a special 4-week term at MIT that runs from the first week of January until the end of the month.

uk: вхід без авторизації


uk: Комп'ютерні науки

description: This resource is a supporting file for exam.

uk: вхід без авторизації


uk: Комп'ютерні науки

description: This resource contains information related to programming problems.

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Multicore Programming Primer

Rodric Rabbah

honorificPrefix: Dr.

keywords:
Engineering
Computer Science
Software Design and Engineering
Programming Languages
Theory of Computation

uk: Комп'ютерні науки

description:
The course serves as an introductory course in parallel programming. It offers a series of lectures on parallel programming concepts as well as a group project providing hands-on experience with parallel programming. The students will have the unique opportunity to use the cutting-edge PLAYSTATION 3 development platform as they learn how to design and implement exciting applications for multicore architectures. At the end of the course, students will have an understanding of:

- Fundamental design philosophies that multicore architectures address.
- Parallel programming philosophies and emerging best practices.

This course is offered during the Independent Activities Period (IAP), which is a special 4-week term at MIT that runs from the first week of January until the end of the month. The course can be tailored to a normal semester time line.

Acknowledgements

The course instructors are extremely grateful to [Sony](https://www.sony.com/en/), [IBM](http://www.ibm.com/us/), and [Toshiba](http://www.toshiba.com/tai/) for their support.

uk: вхід без авторизації


Mini-Quiz #1

uk: Комп'ютерні науки

description: Quiz on multicore programming.

uk: вхід без авторизації


Mini-Quiz #1 Solutions

uk: Комп'ютерні науки

description: Solutions to a quiz on multicore programming.

uk: вхід без авторизації


Mini-Quiz #2

uk: Комп'ютерні науки

description: Quiz on multicore programming.

uk: вхід без авторизації


Mini-Quiz #2 Solutions

uk: Комп'ютерні науки

uk: вхід без авторизації


Mini-Quiz #3

uk: Комп'ютерні науки

description: Quiz on multicore programming.

uk: вхід без авторизації


Mini-Quiz #3 Solutions

uk: Комп'ютерні науки

uk: вхід без авторизації


Mini-Quiz #4

uk: Комп'ютерні науки

description: Quiz on multicore programming.

uk: вхід без авторизації


Mini-Quiz #4 Solutions

uk: Комп'ютерні науки

uk: вхід без авторизації


Mini-Quiz #5

uk: Комп'ютерні науки

description: Quiz on multicore programming.

uk: вхід без авторизації


Mini-Quiz #5 Solutions

uk: Комп'ютерні науки

uk: вхід без авторизації


Mini-Quiz #6

uk: Комп'ютерні науки

description: Quiz on multicore programming.

uk: вхід без авторизації


Mini-Quiz #6 Solutions

uk: Комп'ютерні науки

uk: вхід без авторизації


keywords:
Engineering
Computer Science
Mathematics
Systems Engineering
Probability and Statistics
Electrical Engineering
Theory of Computation
Robotics and Control Systems
Systems Optimization
Discrete Mathematics

name: 6.231 Dynamic Programming and Stochastic Control, Complete Supplemental Notes

name: 6.231 Dynamic Programming and Stochastic Control, Supplemental Lecture 4

name: 6.231 Dynamic Programming and Stochastic Control, Supplemental Lecture 5

name: 6.231 Dynamic Programming and Stochastic Control, Supplemental Lecture 6

name: Approximate Dynamic Programming, Lecture 3

name: Approximate Dynamic Programming, Lecture 1

name: Approximate Dynamic Programming, Lecture 2

name: Monte Carlo Linear Algebra:  A Review and Recent Results

name: Approximate Dynamic Programming, Lecture 4

name: Approximate Dynamic Programming, Lecture 5

name: Approximate Dynamic Programming, Lecture 6

name: 6.231 Dynamic Programming and Stochastic Control, Supplemental Lecture 1

name: 6.231 Dynamic Programming and Stochastic Control, Supplemental Lecture 2

name: 6.231 Dynamic Programming and Stochastic Control, Supplemental Lecture 3

name: 6.231 Dynamic Programming and Stochastic Control, Fall 2008 Midterm and Solutions

name: 6.231 Dynamic Programming and Stochastic Control, Fall 2009 Midterm

name: 6.231 Dynamic Programming and Stochastic Control, Fall 2009 Solutions

name: 6.231 Dynamic Programming and Stochastic Control, Fall 2011 Midterm and Solutions

name: 6.231 Dynamic Programming and Stochastic Control, Fall 2015 Midterm

name: 6.231 Dynamic Programming and Stochastic Control, Fall 2015 Solutions

name: Approximate Dynamic Programming, Lecture Notes

uk: Комп'ютерні науки

cs: Matematika

de: Mathematik

fi: matematiikka

uk: Математика

en: Mathematics

fr: Mathématiques

da: Matematik

es: Matemáticas

nl: Wiskunde

de: Mathematik, Naturwissenschaften

uk: Математика, природничі науки

en: Mathematics, Natural Sciences

description: The course covers the basic models and solution techniques for problems of sequential decision making under uncertainty (stochastic control). We will consider optimal control of a dynamical system over both a finite and an infinite number of stages. This includes systems with finite or infinite state spaces, as well as perfectly or imperfectly observed systems. We will also discuss approximation methods for problems involving large state spaces. Applications of dynamic programming in a variety of fields will be covered in recitations.

uk: вхід без авторизації


uk: Комп'ютерні науки

uk: Математика, природничі науки

uk: вхід без авторизації

name: 6.231 Dynamic Programming and Stochastic Control, Complete Supplemental Notes


uk: Комп'ютерні науки

uk: Математика, природничі науки

name: Dynamic Programming and Stochastic Control

uk: вхід без авторизації

name: Approximate Dynamic Programming, Lecture 1


uk: Комп'ютерні науки

uk: Математика, природничі науки

uk: вхід без авторизації

name: Approximate Dynamic Programming, Lecture 2


uk: Комп'ютерні науки

uk: Математика, природничі науки

uk: вхід без авторизації

name: Approximate Dynamic Programming, Lecture 3


uk: Комп'ютерні науки

uk: Математика, природничі науки

uk: вхід без авторизації

name: Approximate Dynamic Programming, Lecture 4


uk: Комп'ютерні науки

uk: Математика, природничі науки

uk: вхід без авторизації

name: Approximate Dynamic Programming, Lecture 5


uk: Комп'ютерні науки

uk: Математика, природничі науки

uk: вхід без авторизації

name: Approximate Dynamic Programming, Lecture 6


uk: Комп'ютерні науки

uk: Математика, природничі науки

uk: вхід без авторизації

name: Monte Carlo Linear Algebra:  A Review and Recent Results


uk: Комп'ютерні науки

uk: Математика, природничі науки

uk: вхід без авторизації

name: 6.231 Dynamic Programming and Stochastic Control, Supplemental Lecture 1


uk: Комп'ютерні науки

uk: Математика, природничі науки

uk: вхід без авторизації

name: 6.231 Dynamic Programming and Stochastic Control, Supplemental Lecture 2


uk: Комп'ютерні науки

uk: Математика, природничі науки

uk: вхід без авторизації

name: 6.231 Dynamic Programming and Stochastic Control, Supplemental Lecture 3


uk: Комп'ютерні науки

uk: Математика, природничі науки

uk: вхід без авторизації

name: 6.231 Dynamic Programming and Stochastic Control, Supplemental Lecture 4


uk: Комп'ютерні науки

uk: Математика, природничі науки

uk: вхід без авторизації

name: 6.231 Dynamic Programming and Stochastic Control, Supplemental Lecture 5


uk: Комп'ютерні науки

uk: Математика, природничі науки

uk: вхід без авторизації

name: 6.231 Dynamic Programming and Stochastic Control, Supplemental Lecture 6


uk: Комп'ютерні науки

uk: Математика, природничі науки

description: This resource contains information regarding dynamic programming and stochastic control midterm 2008 solution.

uk: вхід без авторизації

name: 6.231 Dynamic Programming and Stochastic Control, Fall 2008 Midterm and Solutions


uk: Комп'ютерні науки

uk: Математика, природничі науки

description: This resource contains information regarding dynamic programming and stochastic control midterm 2009.

uk: вхід без авторизації

name: 6.231 Dynamic Programming and Stochastic Control, Fall 2009 Midterm


uk: Комп'ютерні науки

uk: Математика, природничі науки

description: This resource contains information regarding dynamic programming and stochastic control midterm 2009 solution.

uk: вхід без авторизації

name: 6.231 Dynamic Programming and Stochastic Control, Fall 2009 Solutions


uk: Комп'ютерні науки

uk: Математика, природничі науки

description: This resource contains information regarding dynamic programming and stochastic control midterm 2011 solution.

uk: вхід без авторизації

name: 6.231 Dynamic Programming and Stochastic Control, Fall 2011 Midterm and Solutions


uk: Комп'ютерні науки

uk: Математика, природничі науки

description: This resource contains information regarding dynamic programming and stochastic control midterm 2015.

uk: вхід без авторизації

name: 6.231 Dynamic Programming and Stochastic Control, Fall 2015 Midterm


uk: Комп'ютерні науки

uk: Математика, природничі науки

description: This resource contains information regarding dynamic programming and stochastic control midterm 2015 solution.

uk: вхід без авторизації

name: 6.231 Dynamic Programming and Stochastic Control, Fall 2015 Solutions


uk: Комп'ютерні науки

uk: Математика, природничі науки

name: Dynamic Programming and Stochastic Control

uk: вхід без авторизації

name: Approximate Dynamic Programming, Lecture Notes


Dynamic Systems and Control

uk: Комп'ютерні науки

uk: Математика, природничі науки

description:
The course addresses dynamic systems, i.e., systems that evolve with time. Typically these systems have inputs and outputs; it is of interest to understand how the input affects the output (or, vice-versa, what inputs should be given to generate a desired output). In particular, we will concentrate on systems that can be modeled by Ordinary Differential Equations (ODEs), and that satisfy certain linearity and time-invariance conditions.

We will analyze the response of these systems to inputs and initial conditions. It is of particular interest to analyze systems obtained as interconnections (e.g., feedback) of two or more other systems. We will learn how to design (control) systems that ensure desirable properties (e.g., stability, performance) of the interconnection with a given dynamic system.

uk: вхід без авторизації


uk: Комп'ютерні науки

uk: Математика, природничі науки

description: This resource contains final exam.

uk: вхід без авторизації


uk: Комп'ютерні науки

uk: Математика, природничі науки

description: This resource contains midterm exam.

uk: вхід без авторизації


uk: Комп'ютерні науки

uk: Математика, природничі науки

description: This resource contains solutions to midterm exam.

uk: вхід без авторизації


Dynamics of Nonlinear Systems

keywords:
Engineering
Computer Science
Systems Engineering
Electrical Engineering
Theory of Computation
Robotics and Control Systems

uk: Комп'ютерні науки

description: This course provides an introduction to nonlinear deterministic dynamical systems. Topics covered include: nonlinear ordinary differential equations; planar autonomous systems; fundamental theory: Picard iteration, contraction mapping theorem, and Bellman-Gronwall lemma; stability of equilibria by Lyapunov's first and second methods; feedback linearization; and application to nonlinear circuits and control systems.

uk: вхід без авторизації


uk: Комп'ютерні науки

uk: вхід без авторизації


Multivariable Control Systems

uk: Комп'ютерні науки

description: This course uses computer-aided design methodologies for synthesis of multivariable feedback control systems. Topics covered include: performance and robustness trade-offs; model-based compensators; Q-parameterization; ill-posed optimization problems; dynamic augmentation; linear-quadratic optimization of controllers; H-infinity controller design; Mu-synthesis; model and compensator simplification; and nonlinear effects. The assignments for the course comprise of computer-aided (MATLAB®) design problems.

uk: вхід без авторизації


keywords:
Engineering
Computer Science
Mathematics
Systems Engineering
Applied Mathematics
Software Design and Engineering
Algorithms and Data Structures
Discrete Mathematics

uk: Комп'ютерні науки

uk: Математика, природничі науки

description: This course is an introduction to linear optimization and its extensions emphasizing the underlying mathematical structures, geometrical ideas, algorithms and solutions of practical problems. The topics covered include: formulations, the geometry of linear optimization, duality theory, the simplex method, sensitivity analysis, robust optimization, large scale optimization network flows, solving problems with an exponential number of constraints and the ellipsoid method, interior point methods, semidefinite optimization, solving real world problems problems with computer software, discrete optimization formulations and algorithms.

uk: вхід без авторизації

name: Introduction to Mathematical Programming


Nonlinear Programming

keywords:
Engineering
Computer Science
Systems Engineering
Theory of Computation
Systems Optimization

uk: Комп'ютерні науки

description: 6.252J is a course in the department's "Communication, Control, and Signal Processing" concentration. This course provides a unified analytical and computational approach to nonlinear optimization problems. The topics covered in this course include: unconstrained optimization methods, constrained optimization methods, convex analysis, Lagrangian relaxation, nondifferentiable optimization, and applications in integer programming. There is also a comprehensive treatment of optimality conditions, Lagrange multiplier theory, and duality theory. Throughout the course, applications are drawn from control, communications, power systems, and resource allocation problems.

uk: вхід без авторизації


Convex Analysis and Optimization

keywords:
Engineering
Computer Science
Mathematics
Algorithms and Data Structures
Mathematical Analysis

name: 6.253 Convex Analysis and Optimization, Spring 2010 Midterm Solutions

name: 6.253 Convex Analysis and Optimization, Spring 2012 Midterm Solutions

uk: Комп'ютерні науки

uk: Математика, природничі науки

description: This course will focus on fundamental subjects in convexity, duality, and convex optimization algorithms. The aim is to develop the core analytical and algorithmic issues of continuous optimization, duality, and saddle point theory using a handful of unifying principles that can be easily visualized and readily understood.

uk: вхід без авторизації


uk: Комп'ютерні науки

uk: Математика, природничі науки

description: This resource contains information regarding 2010 midterm with solutions.

uk: вхід без авторизації


uk: Комп'ютерні науки

uk: Математика, природничі науки

description: This resource contains information regarding 2012 midterm with solutions.

uk: вхід без авторизації


keywords:
Engineering
Mechanical Engineering
Social Science
Game Theory

de: Sozialwissenschaften/Soziologie

uk: Суспільні науки та соціологія

en: Social Sciences/Sociology

uk: Машинобудування/Технологія

de: Rechts-, Wirtschafts- und Sozialwissenschaften

uk: Право, економіка та суспільні науки

en: Law, Economics and Social Sciences

description: This course is an introduction to the fundamentals of game theory and mechanism design. Motivations are drawn from engineered/networked systems (including distributed control of wireline and wireless communication networks, incentive-compatible/dynamic resource allocation, multi-agent systems, pricing and investment decisions in the Internet), and social models (including social and economic networks). The course emphasizes theoretical foundations, mathematical tools, modeling, and equilibrium notions in different environments.

uk: вхід без авторизації

name: Game Theory with Engineering Applications


uk: Суспільні науки та соціологія

uk: Машинобудування/Технологія

uk: Право, економіка та суспільні науки

description: This resource contains 3 problem about one symmetric Nash equilibrium, strategic form game and war of attrition.

uk: вхід без авторизації


uk: Суспільні науки та соціологія

uk: Машинобудування/Технологія

uk: Право, економіка та суспільні науки

description: This resource contains 3 problem about pure strategy Nash equilibria, the payoff function for firm i and Consider a two-player game with payoff structure.

uk: вхід без авторизації


uk: Суспільні науки та соціологія

uk: Машинобудування/Технологія

uk: Право, економіка та суспільні науки

description: This resource contains 3 problem about consider a game with two players, Consider the oligopoly competition model and consider a two-player game with payoff structure.

uk: вхід без авторизації


uk: Суспільні науки та соціологія

uk: Машинобудування/Технологія

uk: Право, економіка та суспільні науки

description: This resource contains 3 problem about the set of correlated equilibria is the same as the set of Nash equilibria, Patent Race for a New Market and parameterized prisoner’s dilemma.

uk: вхід без авторизації


Discrete Stochastic Processes

keywords:
Mathematics
Probability and Statistics
Discrete Mathematics

name: Lecture 4: Poisson (The Perfect Arrival Process)

name: Lecture 5: Poisson Combining and Splitting

name: Lecture 7: Finite-state Markov Chains; The Matrix Approach

name: Lecture 8: Markov Eigenvalues and Eigenvectors

name: Lecture 9: Markov Rewards and Dynamic Programming

name: Lecture 1: Introduction and Probability Review

name: Lecture 10: Renewals and the Strong Law of Large Numbers

name: Lecture 11: Renewals: Strong Law and Rewards

name: Lecture 12: Renewal Rewards, Stopping Trials, and Wald's Inequality

name: Lecture 13: Little, M/G/1, Ensemble Averages

name: Lecture 16: Renewals and Countable-state Markov

name: Lecture 17: Countable-state Markov Chains

name: Lecture 18: Countable-state Markov Chains and Processes

name: Lecture 19: Countable-state Markov Processes

name: Lecture 2: More Review; The Bernoulli Process

name: Lecture 20: Markov Processes and Random Walks

name: Lecture 21: Hypothesis Testing and Random Walks

name: Lecture 23: Martingales (Plain, Sub, and Super)

name: Lecture 24: Martingales: Stopping and Converging

name: Lecture 3: Law of Large Numbers, Convergence

uk: Математика, природничі науки

description: Discrete stochastic processes are essentially probabilistic systems that evolve in time via random changes occurring at discrete fixed or random intervals. This course aims to help students acquire both the mathematical principles and the intuition necessary to create, analyze, and understand insightful models for a broad range of these processes. The range of areas for which discrete stochastic-process models are useful is constantly expanding, and includes many applications in engineering, physics, biology, operations research and finance.

uk: вхід без авторизації


uk: Математика, природничі науки

uk: вхід без авторизації


uk: Математика, природничі науки

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uk: Математика, природничі науки

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uk: Математика, природничі науки

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uk: Математика, природничі науки

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Lecture 14: Review

uk: Математика, природничі науки

uk: вхід без авторизації


Lecture 15: The Last Renewal

uk: Математика, природничі науки

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uk: Математика, природничі науки

uk: вхід без авторизації


uk: Математика, природничі науки

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uk: Математика, природничі науки

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uk: Математика, природничі науки

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uk: Математика, природничі науки

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uk: Математика, природничі науки

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uk: Математика, природничі науки

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Lecture 22: Random Walks and Thresholds

uk: Математика, природничі науки

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uk: Математика, природничі науки

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uk: Математика, природничі науки

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Lecture 25: Putting It All Together

uk: Математика, природничі науки

uk: вхід без авторизації


uk: Математика, природничі науки

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uk: Математика, природничі науки

uk: вхід без авторизації

name: Lecture 4: Poisson (The Perfect Arrival Process)


uk: Математика, природничі науки

uk: вхід без авторизації

name: Lecture 5: Poisson Combining and Splitting


Lecture 6: From Poisson to Markov

uk: Математика, природничі науки

uk: вхід без авторизації


uk: Математика, природничі науки

uk: вхід без авторизації

name: Lecture 7: Finite-state Markov Chains; The Matrix Approach


uk: Математика, природничі науки

uk: вхід без авторизації

name: Lecture 8: Markov Eigenvalues and Eigenvectors


uk: Математика, природничі науки

uk: вхід без авторизації

name: Lecture 9: Markov Rewards and Dynamic Programming


uk: Математика, природничі науки

description: This resource contains problems related to Markov process.

uk: вхід без авторизації


uk: Математика, природничі науки

description: This resource contains solution to the problem Markov chain.

uk: вхід без авторизації


uk: Математика, природничі науки

description: This resource contains problems related to countable state Markov process.

uk: вхід без авторизації


uk: Математика, природничі науки

description: This resource contains solution to the problem Yule process.

uk: вхід без авторизації


uk: Математика, природничі науки

description: This resource contains problems related to random vector.

uk: вхід без авторизації


uk: Математика, природничі науки

description: This resource contains solution to the problem birth-death chain.

uk: вхід без авторизації


uk: Математика, природничі науки

description: This resource contains problems related to finite state Markov chain.

uk: вхід без авторизації


uk: Математика, природничі науки

description: This resource contains solution to the problem finite state Markov chain.

uk: вхід без авторизації


uk: Математика, природничі науки

description: This resource contains problems related to queueing system.

uk: вхід без авторизації


uk: Математика, природничі науки

description: This resource contains solution to the problem self-loop transition.

uk: вхід без авторизації


Data Communication Networks

keywords:
Engineering
Computer Science
Electrical Engineering
Telecommunications
Computer Networks

uk: Комп'ютерні науки

description: 6.263J / 16.37J focuses on the fundamentals of data communication networks. One goal is to give some insight into the rationale of why networks are structured the way they are today and to understand the issues facing the designers of next-generation data networks. Much of the course focuses on network algorithms and their performance. Students are expected to have a strong mathematical background and an understanding of probability theory. Topics discussed include: layered network architecture, Link Layer protocols, high-speed packet switching, queueing theory, Local Area Networks, and Wide Area Networking issues, including routing and flow control.

uk: вхід без авторизації


Autonomous Robot Design Competition

keywords:
Engineering
Computer Science
Artificial Intelligence
Electrical Engineering
Robotics and Control Systems
Computer Design and Engineering

uk: Комп'ютерні науки

description:
6.270 is a hands-on, learn-by-doing class, in which participants design and build a robot that will play in a competition at the end of January. The goal for the students is to design a machine that will be able to navigate its way around the playing surface, recognize other opponents, and manipulate game objects. Unlike the machines in Design and Manufacturing I ([2.007](/courses/2-007-design-and-manufacturing-i-spring-2009)), 6.270 robots are totally autonomous, so once a round begins, there is no human intervention.

The goal of 6.270 is to teach students about robotic design by giving them the hardware, software, and information they need to design, build, and debug their own robot. The subject includes concepts and applications that are related to various MIT classes (e.g. [6.001](/courses/6-001-structure-and-interpretation-of-computer-programs-spring-2005), [6.002](/courses/6-002-circuits-and-electronics-spring-2007), [6.004](/courses/6-004-computation-structures-spring-2009), and [2.007](/courses/2-007-design-and-manufacturing-i-spring-2009)), though there are no formal prerequisites for 6.270.

uk: вхід без авторизації


Solid-State Circuits

keywords:
Engineering
Electronics
Electrical Engineering

description: 6.301 is a course in analog circuit analysis and design. We cover the tools and methods necessary for the creative design of useful circuits using active devices. The class stresses insight and intuition, applied to the design of transistor circuits and the estimation of their performance. We concentrate on circuits using the bipolar junction transistor, but the techniques that we study can be equally applied to circuits using JFETs, MOSFETs, MESFETs, future exotic devices, or even vacuum tubes.

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description: This resource contains information related to midband gain.

uk: вхід без авторизації


description: This resource contains information related to transfer functions.

uk: вхід без авторизації


description: This resource contains information related to incremental input current.

uk: вхід без авторизації


description: This resource contains information related to thevenin output resistance.

uk: вхід без авторизації


description: This resource contains information related to infinite power gain.

uk: вхід без авторизації


description: This resource contains information related to general equations.

uk: вхід без авторизації


Feedback Systems

keywords:
Engineering
Electronics
Electrical Engineering
Robotics and Control Systems

description: This course provides an introduction to the design of feedback systems. Topics covered include: properties and advantages of feedback systems, time-domain and frequency-domain performance measures, stability and degree of stability, root locus method, Nyquist criterion, frequency-domain design, compensation techniques, application to a wide variety of physical systems, internal and external compensation of operational amplifiers, modeling and compensation of power converter systems, and phase lock loops.

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description: Final exam on Feedback Systems from Fall 2003.

uk: вхід без авторизації


description: Final exam on Feedback Systems from Fall 2004.

uk: вхід без авторизації


description: Final exam on Feedback Systems from Fall 2005.

uk: вхід без авторизації


description: Final exam on Feedback Systems from Fall 2007.

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uk: вхід без авторизації


description: Quiz on Feedback Systems from Fall 2004.

uk: вхід без авторизації


Advanced Circuit Techniques

keywords:
Engineering
Electronics
Electrical Engineering
Electric Power

description: Following a brief classroom discussion of relevant principles, each student in this course completes the paper design of several advanced circuits such as multiplexers, sample-and-holds, gain-controlled amplifiers, analog multipliers, digital-to-analog or analog-to-digital converters, and power amplifiers. One of each student's designs is presented to the class, and one may be built and evaluated. Associated laboratory assignments emphasize the use of modern analog building blocks. This course is worth 12 Engineering Design Points.

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Power Electronics

description: 6.334 examines the application of electronics to energy conversion and control. Topics covered include: modeling, analysis, and control techniques; design of power circuits including inverters, rectifiers, and DC-DC converters; analysis and design of magnetic components and filters; and characteristics of power semiconductor devices. Numerous application examples will be presented such as motion control systems, power supplies, and radio-frequency power amplifiers. The course is worth 6 engineering design points.

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keywords:
Engineering
Systems Engineering
Numerical Simulation

description:
6.336J is an introduction to computational techniques for the simulation of a large variety of engineering and physical systems. Applications are drawn from aerospace, mechanical, electrical, chemical and biological engineering, and materials science. Topics include: mathematical formulations; network problems; sparse direct and iterative matrix solution techniques; Newton methods for nonlinear problems; discretization methods for ordinary, time-periodic and partial differential equations, fast methods for partial differential and integral equations, techniques for dynamical system model reduction and approaches for molecular dynamics.

This course was also taught as part of the [Singapore-MIT Alliance](http://web.mit.edu/sma/) (SMA) programme as course number SMA 5211 (Introduction to Numerical Simulation).

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name: Introduction to Numerical Simulation (SMA 5211)


Discrete-Time Signal Processing

keywords:
Engineering
Mathematics
Electrical Engineering
Signal Processing
Discrete Mathematics
Digital Systems

uk: Математика, природничі науки

description:
This class addresses the representation, analysis, and design of discrete time signals and systems. The major concepts covered include: Discrete-time processing of continuous-time signals; decimation, interpolation, and sampling rate conversion; flowgraph structures for DT systems; time-and frequency-domain design techniques for recursive (IIR) and non-recursive (FIR) filters; linear prediction; discrete Fourier transform, FFT algorithm; short-time Fourier analysis and filter banks; multirate techniques; Hilbert transforms; Cepstral analysis and various applications.

Acknowledgements
----------------

I would like to express my thanks to **Thomas Baran**, **Myung Jin Choi**, and **Xiaomeng Shi** for compiling the lecture notes on this site from my individual lectures and handouts and their class notes during the semesters that they were students in the course. These lecture notes, the text book and included problem sets and solutions will hopefully be helpful as you learn and explore the topic of Discrete-Time Signal Processing.

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backexam.pdf

uk: Математика, природничі науки

description: This resource contains problems based on time-invariant, LTI system, continuous-time signal, transfer function, and normalized frequency.

uk: вхід без авторизації


uk: Математика, природничі науки

description: This resource contains solutions for background exams file.

uk: вхід без авторизації


uk: Математика, природничі науки

description: This resource contains problems based on discrete-time system, LTI system, and filters.

uk: вхід без авторизації


uk: Математика, природничі науки

description: This resource contains solutions for backexam file.

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uk: Математика, природничі науки

uk: вхід без авторизації


uk: Математика, природничі науки

description: This resource contains problems based on discrete-time system, and LTI system.

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uk: Математика, природничі науки

description: This resource contains solutions for final exams file.

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midexam.pdf

uk: Математика, природничі науки

description: This resource contains problems based on equivalent continuous-time frequency response, LTI system, and grading.

uk: вхід без авторизації


uk: Математика, природничі науки

description: This resource contains solutions for midtermexam file.

uk: вхід без авторизації


Automatic Speech Recognition

keywords:
Engineering
Humanities
Electrical Engineering
Linguistics
Signal Processing

de: Geisteswissenschaften

uk: Гуманітарні науки

en: Humanities

description: 6.345 introduces students to the rapidly developing field of automatic speech recognition. Its content is divided into three parts. Part I deals with background material in the acoustic theory of speech production, acoustic-phonetics, and signal representation. Part II describes algorithmic aspects of speech recognition systems including pattern classification, search algorithms, stochastic modelling, and language modelling techniques. Part III compares and contrasts the various approaches to speech recognition, and describes advanced techniques used for acoustic-phonetic modelling, robust speech recognition, speaker adaptation, processing paralinguistic information, speech understanding, and multimodal processing.

uk: вхід без авторизації


Robocraft Programming Competition

keywords:
Engineering
Computer Science
Artificial Intelligence
Electrical Engineering
Fine Arts
Software Design and Engineering
Robotics and Control Systems
Game Design

uk: Комп'ютерні науки

de: Bildende Kunst

uk: Образотворче мистецтво

en: Fine Arts

de: Kunst, Kunstwissenschaft

uk: Мистецтво, мистецтвознавство

en: Art, Art Theory

description: The 6.370 Robocraft programming competition is a unique challenge that combines battle strategy and software engineering. In short, the objective is to write the best player program for the computer game Robocraft.

uk: вхід без авторизації


The Battlecode Programming Competition

keywords:
Engineering
Computer Science
Artificial Intelligence
Fine Arts
Programming Languages
Game Design

name: Lecture 8: Lessons from the Sprint Tournament

uk: Комп'ютерні науки

uk: Образотворче мистецтво

uk: Мистецтво, мистецтвознавство

description:
This course is conducted as an artificial intelligence programming contest in Java. Students work in teams to program virtual robots to play Battlecode, a real-time strategy game. Optional lectures are provided on topics and programming practices relevant to the game, and students learn and improve their programming skills experientially. The competition culminates in a live Battlecode tournament.

This course is offered during the Independent Activities Period (IAP), which is a special 4-week term at MIT that runs from the first week of January until the end of the month.

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Lecture 1: Introduction to Battlecode

uk: Комп'ютерні науки

uk: Образотворче мистецтво

uk: Мистецтво, мистецтвознавство

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Lecture 2: Writing Your First Player

uk: Комп'ютерні науки

uk: Образотворче мистецтво

uk: Мистецтво, мистецтвознавство

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Lecture 3: Navigation

uk: Комп'ютерні науки

uk: Образотворче мистецтво

uk: Мистецтво, мистецтвознавство

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Lecture 4: Git Repository

uk: Комп'ютерні науки

uk: Образотворче мистецтво

uk: Мистецтво, мистецтвознавство

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Lecture 5: Swarms, Artillery, and Mines

uk: Комп'ютерні науки

uk: Образотворче мистецтво

uk: Мистецтво, мистецтвознавство

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Lecture 6: Numerical Strategy

uk: Комп'ютерні науки

uk: Образотворче мистецтво

uk: Мистецтво, мистецтвознавство

uk: вхід без авторизації


Lecture 7: The Lost Lecture

uk: Комп'ютерні науки

uk: Образотворче мистецтво

uk: Мистецтво, мистецтвознавство

uk: вхід без авторизації


uk: Комп'ютерні науки

uk: Образотворче мистецтво

uk: Мистецтво, мистецтвознавство

uk: вхід без авторизації


keywords:
Engineering
Computer Science
Electronics
Electrical Engineering
Computer Design and Engineering
Digital Systems

uk: Комп'ютерні науки

description: 6.374 examines the device and circuit level optimization of digital building blocks. Topics covered include: MOS device models including Deep Sub-Micron effects; circuit design styles for logic, arithmetic and sequential blocks; estimation and minimization of energy consumption; interconnect models and parasitics; device sizing and logical effort; timing issues (clock skew and jitter) and active clock distribution techniques; memory architectures, circuits (sense amplifiers) and devices; testing of integrated circuits. The course employs extensive use of circuit layout and SPICE in design projects and software labs.

uk: вхід без авторизації

name: Analysis and Design of Digital Integrated Circuits


uk: Комп'ютерні науки

uk: вхід без авторизації


Robotic Manipulation

keywords:
Engineering
Computer Science
Artificial Intelligence
Electrical Engineering
Robotics and Control Systems

uk: Комп'ютерні науки

description:
Introduces the fundamental algorithmic approaches for creating robot systems that can autonomously manipulate physical objects in unstructured environments such as homes and restaurants. Topics include perception (including approaches based on deep learning and approaches based on 3D geometry), planning (robot kinematics and trajectory generation, collision-free motion planning, task-and-motion planning, and planning under uncertainty), as well as dynamics and control (both model-based and learning-based).

Homework assignments will guide students through building a software stack that will enable a robotic arm to autonomously manipulation objects in cluttered scenes (like a kitchen). A final project will allow students to dig deeper into a specific aspect of their choosing. The class has hardware available for ambitious final projects, but will also make heavy use of simulation using cloud resources.

uk: вхід без авторизації


keywords:
Engineering
Mathematics
Probability and Statistics
Electrical Engineering
Applied Mathematics
Signal Processing

uk: Математика, природничі науки

description: This course examines the fundamentals of detection and estimation for signal processing, communications, and control. Topics covered include: vector spaces of random variables; Bayesian and Neyman-Pearson hypothesis testing; Bayesian and nonrandom parameter estimation; minimum-variance unbiased estimators and the Cramer-Rao bounds; representations for stochastic processes, shaping and whitening filters, and Karhunen-Loeve expansions; and detection and estimation from waveform observations. Advanced topics include: linear prediction and spectral estimation, and Wiener and Kalman filters.

uk: вхід без авторизації

name: Stochastic Processes, Detection, and Estimation


System Identification

keywords:
Engineering
Mathematics
Systems Engineering
Applied Mathematics
Computational Science and Engineering
Numerical Simulation

uk: Математика, природничі науки

description: This course is offered to graduates and includes topics such as mathematical models of systems from observations of their behavior; time series, state-space, and input-output models; model structures, parametrization, and identifiability; non-parametric methods; prediction error methods for parameter estimation, convergence, consistency, and asymptotic distribution; relations to maximum likelihood estimation; recursive estimation; relation to Kalman filters; structure determination; order estimation; Akaike criterion; bounded but unknown noise model; and robustness and practical issues.

uk: вхід без авторизації


Fundamentals of Probability

keywords:
Mathematics
Probability and Statistics

name: 6.436J / 15.085J Fundamentals of Probability, Midterm

name: 6.436J / 15.085J Fundamentals of Probability, Final Exam

uk: Математика, природничі науки

description: This is a course on the fundamentals of probability geared towards first or second-year graduate students who are interested in a rigorous development of the subject. The course covers sample space, random variables, expectations, transforms, Bernoulli and Poisson processes, finite Markov chains, and limit theorems. There is also a number of additional topics such as: language, terminology, and key results from measure theory; interchange of limits and expectations; multivariate Gaussian distributions; and deeper understanding of conditional distributions and expectations.

uk: вхід без авторизації


uk: Математика, природничі науки

uk: вхід без авторизації


uk: Математика, природничі науки

uk: вхід без авторизації


Algorithms for Inference

keywords:
Engineering
Computer Science
Mathematics
Probability and Statistics
Algorithms and Data Structures
Graphics and Visualization

uk: Комп'ютерні науки

uk: Математика, природничі науки

description: This is a graduate-level introduction to the principles of statistical inference with probabilistic models defined using graphical representations. The material in this course constitutes a common foundation for work in machine learning, signal processing, artificial intelligence, computer vision, control, and communication. Ultimately, the subject is about teaching you contemporary approaches to, and perspectives on, problems of statistical inference.

uk: вхід без авторизації


Algorithms for Inference, Exam 1, 2011

uk: Комп'ютерні науки

uk: Математика, природничі науки

description: This file contains information regarding quiz 1.

uk: вхід без авторизації


Algorithms for Inference, Exam 2, 2011

uk: Комп'ютерні науки

uk: Математика, природничі науки

description: This file contains information regarding quiz 2.

uk: вхід без авторизації


Algorithms for Inference, Exam 2, 2013

uk: Комп'ютерні науки

uk: Математика, природничі науки

uk: вхід без авторизації


Algorithms for Inference, Exam 1, 2014

uk: Комп'ютерні науки

uk: Математика, природничі науки

uk: вхід без авторизації


Algorithms for Inference, Exam 2, 2014

uk: Комп'ютерні науки

uk: Математика, природничі науки

uk: вхід без авторизації


Information Theory

keywords:
Engineering
Computer Science
Electrical Engineering
Signal Processing
Theory of Computation
Telecommunications

uk: Комп'ютерні науки

description: 6.441 offers an introduction to the quantitative theory of information and its applications to reliable, efficient communication systems. Topics include mathematical definition and properties of information, source coding theorem, lossless compression of data, optimal lossless coding, noisy communication channels, channel coding theorem, the source channel separation theorem, multiple access channels, broadcast channels, Gaussian noise, and time-varying channels.

uk: вхід без авторизації


keywords:
Engineering
Computer Science
Mathematics
Probability and Statistics
Applied Mathematics
Computation
Theory of Computation

uk: Комп'ютерні науки

uk: Математика, природничі науки

description: This is a graduate-level introduction to mathematics of information theory. We will cover both classical and modern topics, including information entropy, lossless data compression, binary hypothesis testing, channel coding, and lossy data compression.

uk: вхід без авторизації


6.441S16: Final

uk: Комп'ютерні науки

uk: Математика, природничі науки

description: This resource contains the information regarding Final.

uk: вхід без авторизації


6.441S16: Midterm Exam

uk: Комп'ютерні науки

uk: Математика, природничі науки

description: This resource contains the information regarding Midterm Exam.

uk: вхід без авторизації


Principles of Digital Communication I

keywords:
Engineering
Electrical Engineering
Telecommunications
Digital Systems

description:
The course serves as an introduction to the theory and practice behind many of today's communications systems. 6.450 forms the first of a two-course sequence on digital communication. The second class, _6.451 Principles of Digital Communication II_, is offered in the spring.

Topics covered include: digital communications at the block diagram level, data compression, Lempel-Ziv algorithm, scalar and vector quantization, sampling and aliasing, the Nyquist criterion, PAM and QAM modulation, signal constellations, finite-energy waveform spaces, detection, and modeling and system design for wireless communication.

uk: вхід без авторизації


Final Exam

description: Final exam on the principles of digital communication.

uk: вхід без авторизації


Quiz 1

description: Quiz on the principles of digital communication.

uk: вхід без авторизації


Principles of Digital Communications I

name: Lecture 14: Jointly Gaussian Random Vectors

name: Lecture 16: Review; Introduction to Detection

name: Lecture 17: Detection for Random Vectors and Processes

name: Lecture 20: Introduction of Wireless Communication

name: Lecture 22: Discrete-Time Baseband Models for Wireless Channels

name: Lecture 23: Detection for Flat Rayleigh Fading and Incoherent Channels

name: Lecture 24: Case Study on Code Division Multiple Access

name: Lecture 4: Entropy and Asymptotic Equipartition Property

name: Lecture 7: High Rate Quantizers and Waveform Encoding

name: Lecture 9: Discrete-Time Fourier Transforms

description:
The course serves as an introduction to the theory and practice behind many of today's communications systems. 6.450 forms the first of a two-course sequence on digital communication. The second class, 6.451, is offered in the spring.

Topics covered include: digital communications at the block diagram level, data compression, Lempel-Ziv algorithm, scalar and vector quantization, sampling and aliasing, the Nyquist criterion, PAM and QAM modulation, signal constellations, finite-energy waveform spaces, detection, and modeling and system design for wireless communication.

uk: вхід без авторизації


Lecture 1: Introduction

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Lecture 10: Degrees of Freedom

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Lecture 11: Signal Space

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Lecture 12: Nyquist Theory

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Lecture 13: Random Processes

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Lecture 15: Linear Functionals

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Lecture 18: Theory of Irrelevance

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Lecture 19: Baseband Detection

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Lecture 2: Discrete Source Encoding

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Lecture 21: Doppler Spread

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Lecture 3: Memory-less Sources

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Lecture 5: Markov Sources

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Lecture 6: Quantization

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Lecture 8: Measure

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description: Practice Quiz 1 from Fall 2001.

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description: Solutions to Quiz 1.

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description: Practice Quiz 1 from Fall 2003.

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description: Practice Quiz 1 from Fall 2004.

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description: Quiz 1 from Fall 2006.

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description: Quiz 2 from Fall 2006.

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description: Solutions to Quiz 2.

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Principles of Digital Communication II

name: Lecture 4: Hard-decision and Soft-decision Decoding

name: Lecture 5: Introduction to Binary Block Codes

name: Lecture 6: Introduction to Binary Block Codes

name: Lecture 7: Introduction to Finite Fields

name: Lecture 8: Introduction to Finite Fields

name: Lecture 9: Introduction to Finite Fields

name: Lecture 1: Introduction Sampling Theorem

name: Lecture 13: Introduction to Convolutional Codes

name: Lecture 14: Introduction to Convolutional Codes

name: Lecture 15: Trellis Representations of Binary Linear Block Codes

name: Lecture 16: Trellis Representations of Binary Linear Block Codes

name: Lecture 2: Performance of Small Signal Constellations

name: Lecture 3: Hard-decision and Soft-decision Decoding

description:
This course is the second of a two-term sequence with 6.450. The focus is on coding techniques for approaching the Shannon limit of additive white Gaussian noise (AWGN) channels, their performance analysis, and design principles. After a review of 6.450 and the Shannon limit for AWGN channels, the course begins by discussing small signal constellations, performance analysis and coding gain, and hard-decision and soft-decision decoding. It continues with binary linear block codes, Reed-Muller codes, finite fields, Reed-Solomon and BCH codes, binary linear convolutional codes, and the Viterbi algorithm.

More advanced topics include trellis representations of binary linear block codes and trellis-based decoding; codes on graphs; the sum-product and min-sum algorithms; the BCJR algorithm; turbo codes, LDPC codes and RA codes; and performance of LDPC codes with iterative decoding. Finally, the course addresses coding for the bandwidth-limited regime, including lattice codes, trellis-coded modulation, multilevel coding and shaping. If time permits, it covers equalization of linear Gaussian channels.

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description: This resource provides definition of Trellis representations of binary linear block codes, notes on minimal trellises and the state space theorem, and permutation and sectionalization problems.

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description: This resource contains notes on elementary realizations of linear block codes, general linear behavioral realizations, graph-theoretic properties of graphical realizations, and classes of graphical realizations.

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description: This resource contains algorithm on cycle-free graphs, BCJR, min-sum algorithm and ML decoding, sum-product algorithm on graphs with cycles.

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description: This resource provides notes on LDPC codes, turbo codes, Repeat-accumulate codes, analysis of LDPC codes on the binary erasure channel, and LDPC code analysis on symmetric binary-input channels.

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description: This resource provides introduction to lattice and trellis codes. It talks about lattices, lattice constellations, shaping gain and shaping techniques, coding gains of dense lattices, trellis codes, sequential decoding in the high-SNR regime and multilevel codes and multistage decoding.

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description: This resource contains notes on Discrete-time AWGN channel model, two normalized measures of SNR, power-limited and bandwidth-limited channels, and performance of M-PAM and (M ? M )-QAM.

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description: This resource talks about binary signal constellations, binary linear block codes as binary vector spaces, Euclidean-space images of binary linear block codes, reed-Muller codes, and decoding of binary block codes.

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description: This resource contains notes on integers, groups, fields, polynomials, a construction of a field with pm elements, the multiplicative group of Fq is cyclic, every finite field is isomorphic to a field Fg(x), and finite fields Fpm exist for all prime p and m = 1.

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description: This resource contains linear codes over finite fields, singleton bount and MDS codes, Reed-Solomon codes , introduction to RS codes, applications of RS codes, and binary BCH codes.

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description: This resource provides notes on linear time-invariant systems over finite fields, Rate-1/n binary linear convolutional codes, terminated convolutional codes, maximum likelihood sequence detection: The VA,and  performance analysis of convolutional codes.

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description: This resource provides introduction to Shannon?s grand challenge and brief history of codes for deep-space missions and telephone-line modems. It also provides exercise and references for the above topics covered.

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description: This resource provides notes on continuous-time AWGN channel model, signal spaces, sampling theorem, white Gaussian noise (WGN), continuous time to discrete time, and orthonormal PAM and QAM modulation.

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description: This resource provides outline of proof of the capacity theorem, notes on laws of large numbers, and geometric interpretation and converse.

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description: This resource contains notes on signal constellations for the AWGN channel, probability of decision error, performance analysis in the power-limited regime, orthogonal and related signal sets, performance in the bandwidth-limited regime, design of small signal constellations, and summary of performance analysis and coding gain.

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description: This resource gives some tables containing useful data to solve the given problems and three problems on convolution code over the quaternary field, graphical representations and decoding of the (32; 16; 8) binary Reed-Muller code RM(2; 5) and various propositions. It also provides instructions for how to take the closed book exam.

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description: This resource gives solutions for the three problems for the final exam 2002.

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description: This resource gives the instructions on how to take the closed book exam, it also gives the breakup of marks for each problem and its parts. It cotains three problems on: coded modulation schemes based on a one-to-one mapping, the (16, 7, 6) binary linear block code C generated by the generator matrix and various propositions and proof for it.

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description: This resource contains solutions for the three problems given for final exam 2003.

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Lecture 10: Reed-Solomon Codes

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Lecture 11: Reed-Solomon Codes

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Lecture 12: Reed-Solomon Codes

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Lecture 17: Codes on Graphs

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Lecture 18: Codes on Graphs

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Lecture 19: The Sum-Product Algorithm

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Lecture 20: Turbo, LDPC, and RA Codes

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Lecture 21: Turbo, LDPC, and RA Codes

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Lecture 22: Lattice and Trellis Codes

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Lecture 23: Lattice and Trellis Codes

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Lecture 24: Linear Gaussian Channels

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Lecture 25: Linear Gaussian Channels

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description: This resource gives the instructions on how to take the closed book exam, it also gives the breakup of marks for each problem and its parts. It cotains two problems on: study of a class of codes called product codes, and various propositions and state if they are true or false, with data tables useful to solve the problems.

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description: This resource gives the instructions on how to take the closed book exam, it also gives the breakup of marks for each problem and its parts. It cotains two problems on: M -simplex signal set is a set of M signals and various propositions and statement for if they are true or false.

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description: This resource gives the instructions on how to take the closed book exam, it also gives the breakup of marks for each problem and its parts. It cotains two problems on: feasibility study for a digital communication system and propositions with data tables useful to solve the problems.

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description: This resource gives solutions for the two problems for the midterm exam 2003 and the scores for the problems.

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description: This resource gives solutions for the two problems for the midterm exam 2005 and the scores for the problems.

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description: This resource gives solutions for the two problems for the midterm exam 2002 and the scores for the problems.

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Principles of Wireless Communications

description: This course is an introduction to the design, analysis, and fundamental limits of wireless transmission systems. Topics to be covered include: wireless channel and system models; fading and diversity; resource management and power control; multiple-antenna and MIMO systems; space-time codes and decoding algorithms; multiple-access techniques and multiuser detection; broadcast codes and precoding; cellular and ad-hoc network topologies; OFDM and ultrawideband systems; and architectural issues.

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Quantum Optical Communication

keywords:
Engineering
Science
Physics
Electrical Engineering
Atomic, Molecular, Optical Physics
Quantum Mechanics
Telecommunications
Digital Systems

name: 6.453 Quantum Optical Communication: Midterm Exam

name: 6.453 Quantum Optical Communication: Solutions to Midterm Exam

de: Physik

uk: Фізика

en: Physics

uk: Математика, природничі науки

de: Physik, Astronomie

fi: fysiikka, tähtitiede

uk: Фізика, Астрономія

en: Physics, Astronomy

fr: Physique, Astronomie

da: Fysik, Astronomi

es: Física, Astronomía

nl: Natuurkunde, Astronomie

description: _6.453 Quantum Optical Communication_ is one of a collection of MIT classes that deals with aspects of an emerging field known as quantum information science. This course covers Quantum Optics, Single-Mode and Two-Mode Quantum Systems, Multi-Mode Quantum Systems, Nonlinear Optics, and Quantum System Theory.

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uk: Математика, природничі науки

uk: Фізика, Астрономія

description: This file contains information regarding midterm exam.

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uk: Математика, природничі науки

uk: Фізика, Астрономія

description: This file contains information regarding solutions to midterm exam.

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Foundations of Information Policy

keywords:
Engineering
Computer Science
Social Science
Public Administration
Science and Technology Policy

de: Verwaltungswissenschaften

uk: Управління та адміністрування

en: Administrative Sciences

de: Informatik

uk: Комп'ютерні науки

en: Computer Science

uk: Суспільні науки та соціологія

uk: Право, економіка та суспільні науки

description:
In this class, we will consider the interaction between law, policy, and technology as they relate to the evolving controversies over control of the internet. Our goal is for participants to develop the technical, legal, and rhetorical skills to analyze and participate in the evolution of the global public policy environments that govern human behavior on the internet.

Topics include history of internet policy, the relationship between technical architecture and law, privacy, cybersecurity, freedom of expression, intellectual property, electronic surveillance, trade policy, and international affairs.

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Algorithm Engineering

keywords:
Engineering
Computer Science
Algorithms and Data Structures

uk: Комп'ютерні науки

de: Ingenieurwissenschaften

en: Engineering Sciences

description: This is a research-oriented course on algorithm engineering, which will cover both the theory and practice of algorithms and data structures. Students will learn about models of computation, algorithm design and analysis, and performance engineering of algorithm implementations. We will study the design and implementation of sequential, parallel, cache-efficient, external-memory, and write-efficient algorithms for fundamental problems in computing. Many of the principles of algorithm engineering will be illustrated in the context of parallel algorithms and graph problems.

de: keine Anmeldung erforderlich

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en: no login required


Speech Communication

keywords:
Engineering
Humanities
Electrical Engineering
Health and Medicine
Linguistics
Speech Pathology
Signal Processing

de: Humanmedizin/Gesundheitswissenschaften

uk: Медицина / Науки про здоров'я

en: Human Medicine / Health Sciences

uk: Гуманітарні науки

description: 6.541J surveys the structural properties of natural languages, with special emphasis on the sound pattern. Topics covered include: representation of the lexicon; physiology of speech production; articulatory phonetics; acoustical theory of speech production; acoustical and articulatory descriptions of phonetic features and of prosodic aspects of speech; perception of speech; models of lexical access and of speech production and planning; and applications to recognition and generation of speech by machine, and to the study of speech disorders.

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keywords:
Engineering
Humanities
Electrical Engineering
Health and Medicine
Linguistics
Speech Pathology
Anatomy and Physiology
Signal Processing

uk: Медицина / Науки про здоров'я

uk: Гуманітарні науки

description:
The course focuses on experimental investigations of speech processes. Topics include: measurement of articulatory movements, measurements of pressures and airflows in speech production, computer-aided waveform analysis and spectral analysis of speech, synthesis of speech, perception and discrimination of speechlike sounds, speech prosody, models for speech recognition, speech disorders, and other topics.

*   Two 1-hour lectures per week
*   Two labs per week
*   Brief lab reports
*   Term project, with short term paper
*   No exams

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name: Laboratory on the Physiology, Acoustics, and Perception of Speech

de: Kurs

en: Course


Acoustics of Speech and Hearing

keywords:
Engineering
Science
Electrical Engineering
Health and Medicine
Anatomy and Physiology
Biology
Signal Processing
Biophysics

uk: Медицина / Науки про здоров'я

de: Biologie

uk: Біологія

en: Biology

uk: Математика, природничі науки

description:
The Acoustics of Speech and Hearing is an H-Level graduate course that reviews the physical processes involved in the production, propagation and reception of human speech. Particular attention is paid to how the acoustics and mechanics of the speech and auditory system define what sounds we are capable of producing and what sounds we can sense. Areas of discussion include:

1.  the acoustic cues used in determining the direction of a sound source,
2.  the acoustic and mechanical mechanisms involved in speech production and

3.  the acoustic and mechanical mechanism used to transduce and analyze sounds in the ear.

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uk: Медицина / Науки про здоров'я

de: Elektrotechnik und Informationstechnik

en: Electrical Engineering and Information Engineering

uk: Математика, природничі науки

description: The resource includes a quiz on Acoustics of Speech and Hearing.

uk: вхід без авторизації

de: Übung

en: Drill and Practice


uk: Медицина / Науки про здоров'я

de: Mathematik, Naturwissenschaften

uk: Математика, природничі науки

en: Mathematics, Natural Sciences

description: This resource is a quiz on Acoustics of Speech and Hearing.

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Advanced Topics in Cryptography

keywords:
Engineering
Computer Science
Cryptography

name: Lecture 1: Interactive Proofs and the Sum-Check Protocol, Part 1

name: Lecture 1: Interactive Proofs and the Sum-Check Protocol, Part 2

name: Lecture 2: Doubly Efficient Interactive Proofs, Part 1

name: Lecture 2: Doubly Efficient Interactive Proofs, Part 2

name: Lecture 3: Continuation of the GKR Protocol and Corollaries

name: Lecture 4: PCP via GKR and Interactive Arguments, Part 1

name: Lecture 4: PCP via GKR and Interactive Arguments, Part 2

name: Lecture 5: The Kilian-Micali Protocol, Part 1

name: Lecture 5: The Kilian-Micali Protocol, Part 2

name: Lecture 6: Fiat-Shamir Paradigm and Zero-Knowledge Proofs, Part 1

name: Lecture 6: Fiat-Shamir Paradigm and Zero-Knowledge Proofs, Part 2

name: Lecture 7: Soundness of the Fiat-Shamir Paradigm in the Standard Model, Part 1

name: Lecture 7: Soundness of the Fiat-Shamir Paradigm in the Standard Model, Part 2

name: Lecture 8: Succinct Non-Interactive Arguments for Batch NP (BARGs) from LWE, Part 1

name: Lecture 8: Succinct Non-Interactive Arguments for Batch NP (BARGs) from LWE, Part 2

name: Lecture 9: BARGs Implies SNARGs and Connection to Non-Signaling PCPs, Part 1

name: Lecture 9: BARGs Implies SNARGs and Connection to Non-Signaling PCPs, Part 2

uk: Комп'ютерні науки

description: This course is about the evolution of proofs in computer science. We will learn about the power of interactive proofs, multi-prover interactive proofs, and probabilistically checkable proofs.  We will then show how to use cryptography to convert these powerful proof systems into computationally sound non-interactive arguments (SNARGs).

uk: вхід без авторизації


uk: Комп'ютерні науки

uk: вхід без авторизації

name: Lecture 1: Interactive Proofs and the Sum-Check Protocol, Part 1

de: Video

en: Video


uk: Комп'ютерні науки

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name: Lecture 1: Interactive Proofs and the Sum-Check Protocol, Part 2


uk: Комп'ютерні науки

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name: Lecture 2: Doubly Efficient Interactive Proofs, Part 1


uk: Комп'ютерні науки

uk: вхід без авторизації

name: Lecture 2: Doubly Efficient Interactive Proofs, Part 2


uk: Комп'ютерні науки

uk: вхід без авторизації

name: Lecture 3: Continuation of the GKR Protocol and Corollaries


uk: Комп'ютерні науки

uk: вхід без авторизації

name: Lecture 4: PCP via GKR and Interactive Arguments, Part 1


uk: Комп'ютерні науки

uk: вхід без авторизації

name: Lecture 4: PCP via GKR and Interactive Arguments, Part 2


uk: Комп'ютерні науки

uk: вхід без авторизації

name: Lecture 5: The Kilian-Micali Protocol, Part 1


uk: Комп'ютерні науки

uk: вхід без авторизації

name: Lecture 5: The Kilian-Micali Protocol, Part 2


uk: Комп'ютерні науки

uk: вхід без авторизації

name: Lecture 6: Fiat-Shamir Paradigm and Zero-Knowledge Proofs, Part 1


uk: Комп'ютерні науки

uk: вхід без авторизації

name: Lecture 6: Fiat-Shamir Paradigm and Zero-Knowledge Proofs, Part 2


uk: Комп'ютерні науки

uk: вхід без авторизації

name: Lecture 7: Soundness of the Fiat-Shamir Paradigm in the Standard Model, Part 1


uk: Комп'ютерні науки

uk: вхід без авторизації

name: Lecture 7: Soundness of the Fiat-Shamir Paradigm in the Standard Model, Part 2


uk: Комп'ютерні науки

uk: вхід без авторизації

name: Lecture 8: Succinct Non-Interactive Arguments for Batch NP (BARGs) from LWE, Part 1


uk: Комп'ютерні науки

uk: вхід без авторизації

name: Lecture 8: Succinct Non-Interactive Arguments for Batch NP (BARGs) from LWE, Part 2


uk: Комп'ютерні науки

uk: вхід без авторизації

name: Lecture 9: BARGs Implies SNARGs and Connection to Non-Signaling PCPs, Part 1


uk: Комп'ютерні науки

uk: вхід без авторизації

name: Lecture 9: BARGs Implies SNARGs and Connection to Non-Signaling PCPs, Part 2


Computer Systems Security

keywords:
Engineering
Computer Science
Software Design and Engineering
Computer Design and Engineering

uk: Комп'ютерні науки

description:
This course covers design and implementation of secure computer systems. The lectures cover attacks that compromise security as well as techniques for achieving security, based on recent research papers. Topics include operating system security, privilege separation, capabilities, language-based security, cryptographic network protocols, trusted hardware, and security in web applications and mobile phones. The labs involve implementing and compromising a web application that sandboxes arbitrary code, supporting TLS certificates, and adding two-factor authentication.

The course materials, which can be accessed via the external link to the left, are available for reuse under a Creative Commons [Attribution 3.0](https://creativecommons.org/licenses/by/3.0/us/) license.

uk: вхід без авторизації


Database Systems

uk: Комп'ютерні науки

description: This course relies on primary readings from the database community to introduce graduate/undergraduate students to the foundations of database systems, focusing on basics such as the relational algebra and data model, schema normalization, query optimization, transactions, and other more advanced topics. No prior database experience is assumed, though students who have taken an undergraduate course in databases are encouraged to attend.

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Power Electronics

keywords:
Engineering
Electronics
Electrical Engineering
Energy
Electricity

name: Lecture 1: Introduction to Power Electronics

name: Lecture 2: Analysis Methods and Rectifiers

name: Lecture 13: Isolated DC/DC Converters, Part 1

name: Lecture 14: Isolated DC/DC Converters, Part 2

name: Lecture 15: Switching Losses and Snubbers

name: Lecture 16: Thermal Modeling and Heat Sinking

name: Lecture 30: EMI Filters, Part 3: CM + DM

name: Lecture 31: Switched-Capacitor Convertors, Part 1

name: Lecture 32: Switched-Capacitor Convertors, Part 2

name: Lecture 37: Resonant Converters: Matching Networks

name: Lecture 35: Resonant Power Conversion, Part 1

name: Lecture 36: Resonant Power Conversion, Part 2

name: Lecture 38: Gate Drive, Level Shift, Layout

description: 6.622 covers modeling, analysis, design, control, and application of circuits for energy conversion and control. As described by the Institute of Electrical and Electronics Engineers (IEEE), power electronics technology "encompasses the use of electronic components, the application of circuit theory and design techniques, and the development of analytical tools toward efficient electronic conversion, control, and conditioning of electric power." Students taking this class will come away with an understanding of the fundamental principles of power electronics, and knowledge of how to both analyze and design power electronic components and systems.

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Assessment 1

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Assessment 2

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Assessment 3

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Assessment 4

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Assessment 5

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Assessment 6

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Assessment 7

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Assessment 8

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Assessment 9

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Assessment 10

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Lecture 3: Load Regulation

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Lecture 4: Power Factor

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Lecture 5: Intro to DC/DC, Part 1

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Lecture 6: DC/DC, Part 2

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Lecture 7: DC/DC, Part 3

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Lecture 8: DC/DC, Part 4

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Lecture 9: Magnetics, Part 1

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Lecture 10: Magnetics, Part 2

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Lecture 11: Magnetics, Part 3

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Lecture 12: Magnetics, Part 4

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Lecture 17: Inverters, Part 1

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Lecture 18: Inverters, Part 2

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Lecture 19: Inverters, Part 3

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Lecture 20: Switched-Mode Rectifiers

uk: вхід без авторизації


Lecture 21: Three-Phase Systems, Part 1

uk: вхід без авторизації


Lecture 22: Three-Phase Systems, Part 2

uk: вхід без авторизації


Lecture 23: Three-Phase Inverters

uk: вхід без авторизації


Lecture 24: Control, Part 1

uk: вхід без авторизації


Lecture 25: Control, Part 2

uk: вхід без авторизації


Lecture 26: Control, Part 3

uk: вхід без авторизації


Lecture 27: Current-Mode Control

uk: вхід без авторизації


Lecture 28: EMI Filters, Part 1

uk: вхід без авторизації


Lecture 29: EMI Filters, Part 2

uk: вхід без авторизації


uk: вхід без авторизації


uk: вхід без авторизації


uk: вхід без авторизації


Lecture 33: Soft Switching, Part 1

uk: вхід без авторизації


Lecture 34: Soft Switching, Part 2

uk: вхід без авторизації


uk: вхід без авторизації


uk: вхід без авторизації


uk: вхід без авторизації


uk: вхід без авторизації


Electromagnetics

keywords: Science Physics Electromagnetism

uk: Математика, природничі науки

uk: Фізика, Астрономія

description: 6.630 is an introductory subject on electromagnetics, emphasizing fundamental concepts and applications of Maxwell equations. Topics covered include: polarization, dipole antennas, wireless communications, forces and energy, phase matching, dielectric waveguides and optical fibers, transmission line theory and circuit concepts, antennas, and equivalent principle. Examples deal with electrodynamics, propagation, guidance, and radiation of electromagnetic waves.

uk: вхід без авторизації


uk: Математика, природничі науки

uk: Фізика, Астрономія

description: This resource contains problems to test students understanding of course material.

uk: вхід без авторизації


Electromagnetic Wave Theory

keywords:
Science
Physics
Mathematics
Applied Mathematics
Electromagnetism

de: Mathematik

en: Mathematics

uk: Математика, природничі науки

uk: Фізика, Астрономія

description: 6.632 is a graduate subject on electromagnetic wave theory, emphasizing mathematical approaches, problem solving, and physical interpretation. Topics covered include: waves in media, equivalence principle, duality and complementarity, Huygens' principle, Fresnel and Fraunhofer diffraction, dyadic Green's functions, Lorentz transformation, and Maxwell-Minkowski theory. Examples deal with limiting cases of Maxwell's theory and diffraction and scattering of electromagnetic waves.

uk: вхід без авторизації


Quiz No. 1

uk: Математика, природничі науки

uk: Фізика, Астрономія

description: Quiz on electromagnetic theory.

uk: вхід без авторизації


Quiz No. 2

uk: Математика, природничі науки

uk: Фізика, Астрономія

description: Quiz on electromagnetic theory.

uk: вхід без авторизації


Advanced Electromagnetism

keywords:
Science
Physics
Atomic, Molecular, Optical Physics
Quantum Mechanics
Electromagnetism

uk: Математика, природничі науки

uk: Фізика, Астрономія

description: In 6.635, topics covered include: special relativity, electrodynamics of moving media, waves in dispersive media, microstrip integrated circuits, quantum optics, remote sensing, radiative transfer theory, scattering by rough surfaces, effective permittivities, random media, Green's functions for planarly layered media, integral equations in electromagnetics, method of moments, time domain method of moments, EM waves in periodic structures: photonic crystals and negative refraction.

uk: вхід без авторизації


Optical Signals, Devices, and Systems

keywords:
Engineering
Science
Physics
Electronics
Electrical Engineering
Signal Processing
Atomic, Molecular, Optical Physics

uk: Математика, природничі науки

uk: Фізика, Астрономія

description:
6.637 covers the fundamentals of optical signals and modern optical devices and systems from a practical point of view. Its goal is to help students develop a thorough understanding of the underlying physical principles such that device and system design and performance can be predicted, analyzed, and understood.

Most optical systems involve the use of one or more of the following: sources (e.g., lasers and light-emitting diodes), light modulation components (e.g., liquid-crystal light modulators), transmission media (e.g., free space or fibers), photodetectors (e.g., photodiodes, photomultiplier tubes), information storage devices (e.g., optical disk), processing systems (e.g., imaging and spatial filtering systems) and displays (LCOS microdisplays). These are the topics covered by this course.

uk: вхід без авторизації


uk: Математика, природничі науки

uk: Фізика, Астрономія

description:
6.641 examines electric and magnetic quasistatic forms of Maxwell's equations applied to dielectric, conduction, and magnetization boundary value problems. Topics covered include: electromagnetic forces, force densities, and stress tensors, including magnetization and polarization; thermodynamics of electromagnetic fields, equations of motion, and energy conservation; applications to synchronous, induction, and commutator machines; sensors and transducers; microelectromechanical systems; propagation and stability of electromechanical waves; and charge transport phenomena.

##### Acknowledgement

The instructor would like to thank Thomas Larsen for transcribing into LaTeX selected homework problems, homework solutions, and exams.

uk: вхід без авторизації

name: Electromagnetic Fields, Forces, and Motion


Quiz 1 - Solutions 2003

uk: Математика, природничі науки

uk: Фізика, Астрономія

description: Solutions to a quiz on electromagnetic fields, forces, and motion.

uk: вхід без авторизації


Quiz 2 - Solutions 2003

uk: Математика, природничі науки

uk: Фізика, Астрономія

uk: вхід без авторизації


Final - Solutions 2004

uk: Математика, природничі науки

uk: Фізика, Астрономія

description: Solutions to final exam on electromagnetic fields, forces, and motion.

uk: вхід без авторизації


Quiz 1 - Solutions 2004

uk: Математика, природничі науки

uk: Фізика, Астрономія

uk: вхід без авторизації


Quiz 2 - Solutions 2004

uk: Математика, природничі науки

uk: Фізика, Астрономія

uk: вхід без авторизації


Final Exam - 2003

uk: Математика, природничі науки

uk: Фізика, Астрономія

description: Final exam on electromagnetic fields, forces, and motion.

uk: вхід без авторизації


Final Exam - 2004

uk: Математика, природничі науки

uk: Фізика, Астрономія

uk: вхід без авторизації


Final Exam: Solution

uk: Математика, природничі науки

uk: Фізика, Астрономія

uk: вхід без авторизації


Final Review Packet

uk: Математика, природничі науки

uk: Фізика, Астрономія

description: Review packet for a final exam on electromagnetic fields, forces, and motion.

uk: вхід без авторизації


Final Exam - Solutions 2003

uk: Математика, природничі науки

uk: Фізика, Астрономія

uk: вхід без авторизації


2005 Final Exam Review Packet

uk: Математика, природничі науки

uk: Фізика, Астрономія

description: Review materials on potential distributions, surface charge densities, perfect conductors, Maxwell stress tensors, natural frequency, and displacement.

uk: вхід без авторизації


Final Exam - 2005

uk: Математика, природничі науки

uk: Фізика, Астрономія

uk: вхід без авторизації


Formula Sheet

uk: Математика, природничі науки

uk: Фізика, Астрономія

description: Formula sheet on differential operators in cylindrical and spherical coordinates and solutions of Laplace's equations.

uk: вхід без авторизації


Quiz 1 - 2005

uk: Математика, природничі науки

uk: Фізика, Астрономія

description: Quiz on electromagnetic fields, forces, and motion.

uk: вхід без авторизації


Quiz 1 - Solutions 2005

uk: Математика, природничі науки

uk: Фізика, Астрономія

uk: вхід без авторизації


Quiz 2 - 2005

uk: Математика, природничі науки

uk: Фізика, Астрономія

uk: вхід без авторизації


Quiz 1 - 2003

uk: Математика, природничі науки

uk: Фізика, Астрономія

uk: вхід без авторизації


Quiz 1 - 2004

uk: Математика, природничі науки

uk: Фізика, Астрономія

uk: вхід без авторизації


Quiz 1 - Solutions 2003

uk: Математика, природничі науки

uk: Фізика, Астрономія

uk: вхід без авторизації


Quiz 1 - Solutions 2004

uk: Математика, природничі науки

uk: Фізика, Астрономія

uk: вхід без авторизації


Quiz 2 - 2003

uk: Математика, природничі науки

uk: Фізика, Астрономія

uk: вхід без авторизації


Quiz 2 - 2004

uk: Математика, природничі науки

uk: Фізика, Астрономія

uk: вхід без авторизації


Quiz 2 - Solutions 2004

uk: Математика, природничі науки

uk: Фізика, Астрономія

uk: вхід без авторизації


Quiz 2 - Solutions 2003

uk: Математика, природничі науки

uk: Фізика, Астрономія

uk: вхід без авторизації


Quiz 2 - Solutions 2004

uk: Математика, природничі науки

uk: Фізика, Астрономія

uk: вхід без авторизації


uk: Математика, природничі науки

uk: Фізика, Астрономія

description:
This course examines electric and magnetic quasistatic forms of Maxwell's equations applied to dielectric, conduction, and magnetization boundary value problems. Topics covered include: electromagnetic forces, force densities, and stress tensors, including magnetization and polarization; thermodynamics of electromagnetic fields, equations of motion, and energy conservation; applications to synchronous, induction, and commutator machines; sensors and transducers; microelectromechanical systems; propagation and stability of electromechanical waves; and charge transport phenomena.

##### Acknowledgments

The instructor would like to thank Thomas Larsen and Matthew Pegler for transcribing into LaTeX the homework problems, homework solutions, and exam solutions.

uk: вхід без авторизації


Final Exam

uk: Математика, природничі науки

uk: Фізика, Астрономія

uk: вхід без авторизації


Final Review Packet

uk: Математика, природничі науки

uk: Фізика, Астрономія

uk: вхід без авторизації


Quiz 1

uk: Математика, природничі науки

uk: Фізика, Астрономія

uk: вхід без авторизації


Quiz 2

uk: Математика, природничі науки

uk: Фізика, Астрономія

uk: вхід без авторизації


Quiz 1

uk: Математика, природничі науки

uk: Фізика, Астрономія

uk: вхід без авторизації


Mid-Term Exam

uk: Математика, природничі науки

uk: Фізика, Астрономія

description: Mid-term exam on electromagnetic fields, forces, and motion.

uk: вхід без авторизації


Final - Solutions - Spring 2006

uk: Математика, природничі науки

uk: Фізика, Астрономія

description: Solutions to a final exam on electromagnetic fields, forces, and motion.

uk: вхід без авторизації


Final - Solutions - Spring 2008

uk: Математика, природничі науки

uk: Фізика, Астрономія

uk: вхід без авторизації


Final - Solutions - Spring 2009

uk: Математика, природничі науки

uk: Фізика, Астрономія

uk: вхід без авторизації


Quiz 1 - Solutions - Spring 2006

uk: Математика, природничі науки

uk: Фізика, Астрономія

uk: вхід без авторизації


Quiz 2 - Solutions - Spring 2006

uk: Математика, природничі науки

uk: Фізика, Астрономія

uk: вхід без авторизації


Quiz 1 - Solutions - Spring 2008

uk: Математика, природничі науки

uk: Фізика, Астрономія

uk: вхід без авторизації


Quiz 1 - Solutions - Spring 2009

uk: Математика, природничі науки

uk: Фізика, Астрономія

uk: вхід без авторизації


Formula Sheet #1

uk: Математика, природничі науки

uk: Фізика, Астрономія

description: Formula sheet on differential operators in Cartesian, cylindrical, and spherical coordinates, geometric relations between coordinates and unit vectors in Cartesian, cylindrical, and spherical coordinate systems, vector identities, integral theorems, Maxwell's equations, and physical constants.

uk: вхід без авторизації


Formula Sheet

uk: Математика, природничі науки

uk: Фізика, Астрономія

description: Formula sheet on differential operators in Cartesian, cylindrical, and spherical coordinates.

uk: вхід без авторизації


Formula Sheet - Spring 2009

uk: Математика, природничі науки

uk: Фізика, Астрономія

description: Formula sheet on differential operators in cylindrical and spherical coordinates, and solutions of Laplace’s equations.

uk: вхід без авторизації


Continuum Electromechanics

keywords:
Engineering
Science
Physics
Mechanical Engineering
Electrical Engineering
Quantum Mechanics
Electromagnetism

de: Maschinenbau/Verfahrenstechnik

uk: Машинобудування/Технологія

en: Mechanical Engineering / Process Engineering

uk: Математика, природничі науки

uk: Фізика, Астрономія

description:
This course focuses on laws, approximations and relations of continuum electromechanics. Topics include mechanical and electromechanical transfer relations, statics and dynamics of electromechanical systems having a static equilibrium, electromechanical flows, and field coupling with thermal and molecular diffusion. Also covered are electrokinetics, streaming interactions, application to materials processing, magnetohydrodynamic and electrohydrodynamic pumps and generators, ferrohydrodynamics, physiochemical systems, heat transfer, continuum feedback control, electron beam devices, and plasma dynamics.

##### Acknowledgements

The instructor would like to thank Xuancheng Shao and Anyang Hou for transcribing into LaTeX the problem set solutions and exam solutions, respectively.

uk: вхід без авторизації


Final Exam

uk: Машинобудування/Технологія

uk: Математика, природничі науки

uk: Фізика, Астрономія

description: Final exam on continuum electromechanics.

uk: вхід без авторизації


Final Exam - Solutions

uk: Машинобудування/Технологія

uk: Математика, природничі науки

uk: Фізика, Астрономія

description: Solutions to a final exam on continuum electromechanics.

uk: вхід без авторизації


Mid-Term Exam

uk: Машинобудування/Технологія

uk: Математика, природничі науки

uk: Фізика, Астрономія

description: Midterm exam on continuum electromechanics.

uk: вхід без авторизації


Mid-Term - Solutions

uk: Машинобудування/Технологія

uk: Математика, природничі науки

uk: Фізика, Астрономія

description: Solutions to a midterm exam on continuum electromechanics.

uk: вхід без авторизації


Receivers, Antennas, and Signals

keywords:
Engineering
Electronics
Electrical Engineering
Signal Processing
Telecommunications

description: This course explores the detection and measurement of radio and optical signals encountered in communications, astronomy, remote sensing, instrumentation, and radar. Topics covered include: statistical analysis of signal processing systems, including radiometers, spectrometers, interferometers, and digital correlation systems; matched filters and ambiguity functions; communications channel performance; measurement of random electromagnetic fields, angular filtering properties of antennas, interferometers, and aperture synthesis systems; and radiative transfer and parameter estimation.

uk: вхід без авторизації


Electric Machines

keywords:
Engineering
Electronics
Electrical Engineering
Energy
Technology
Electricity

name: 6.685 Electric Machines, Quiz 1 Solutions

name: 6.685 Electric Machines, Quiz 2 Solutions

description: This course teaches the principles and analysis of electromechanical systems. Students will develop analytical techniques for predicting device and system interaction characteristics as well as learn to design major classes of electric machines. Problems used in the course are intended to strengthen understanding of the phenomena and interactions in electromechanics, and include examples from current research.

uk: вхід без авторизації


6.685 Electric Machines, Quiz 1

description: This file contains information regarding quiz 1.

uk: вхід без авторизації


description: This file contains information regarding quiz 1 solution.

uk: вхід без авторизації


6.685 Electric Machines, Quiz 2

description: This file contains information regarding quiz 2.

uk: вхід без авторизації


description: This file contains information regarding quiz 2 solution.

uk: вхід без авторизації


Seminar in Electric Power Systems

keywords:
Engineering
Electrical Engineering
Energy
Electric Power
Electricity

description: This course comprises of a seminar on planning and operation of modern electric power systems. Content varies with current interests of instructor and class; emphasis on engineering aspects, but economic issues may be examined too. Core topics include: overview of power system structure and operation; representation of components, including transmission lines, transformers, generating plants, loads; power flow analysis, dynamics and control of multimachine systems, steady-state and transient stability, system protection; economic dispatch; mobile and isolated power systems; computation and simulation.

uk: вхід без авторизації


Introduction to Nanoelectronics

keywords:
Engineering
Science
Physics
Chemistry
Electronics
Electrical Engineering
Nanotechnology
Energy
Technology
Quantum Mechanics
Physical Chemistry

de: Chemie

fi: kemia

uk: Хімія

en: Chemistry

fr: Chimie

da: Kemi

es: Química

nl: Scheikunde

uk: Математика, природничі науки

uk: Фізика, Астрономія

description: Traditionally, progress in electronics has been driven by miniaturization. But as electronic devices approach the molecular scale, classical models for device behavior must be abandoned. To prepare for the next generation of electronic devices, this class teaches the theory of current, voltage and resistance from atoms up. To describe electrons at the nanoscale, we will begin with an introduction to the principles of quantum mechanics, including quantization, the wave-particle duality, wavefunctions and Schrödinger's equation. Then we will consider the electronic properties of molecules, carbon nanotubes and crystals, including energy band formation and the origin of metals, insulators and semiconductors. Electron conduction will be taught beginning with ballistic transport and concluding with a derivation of Ohm's law. We will then compare ballistic to bulk MOSFETs. The class will conclude with a discussion of possible fundamental limits to computation.

uk: вхід без авторизації


uk: Математика, природничі науки

uk: Фізика, Астрономія

description: This resource contains information related to singlet molecule two-terminal device, bilayer atomic sheet, seesaw logic and NAND gate.

uk: вхід без авторизації


uk: Математика, природничі науки

uk: Фізика, Астрономія

description: This resource contains problem statements related to born-oppenheimer approximation, and tight binding approximation.

uk: вхід без авторизації


uk: Математика, природничі науки

uk: Фізика, Астрономія

description: This resource contains information related to singlet molecule two-terminal device, ballistic quantum wire FET and bilayer atomic sheet.

uk: вхід без авторизації


Integrated Microelectronic Devices

keywords:
Engineering
Science
Physics
Electronics
Mechanical Engineering
Electrical Engineering
Nanotechnology
Microtechnology
Electromagnetism

uk: Машинобудування/Технологія

uk: Математика, природничі науки

uk: Фізика, Астрономія

description:
6.720 examines the physics of microelectronic semiconductor devices for silicon integrated circuit applications. Topics covered include: semiconductor fundamentals, p-n junction, metal-oxide semiconductor structure, metal-semiconductor junction, MOS field-effect transistor, and bipolar junction transistor. The course emphasizes physical understanding of device operation through energy band diagrams and short-channel MOSFET device design. Issues in modern device scaling are also outlined. The course is worth 2 Engineering Design Points.

Acknowledgments
---------------

Prof. Jesús del Alamo would like to thank Prof. Harry Tuller for his support of and help in teaching the course.

uk: вхід без авторизації


uk: Машинобудування/Технологія

uk: Математика, природничі науки

uk: Фізика, Астрономія

description: Final exam on Integrated Micro Electronic Devices from December 20, 2002.

uk: вхід без авторизації


uk: Машинобудування/Технологія

uk: Математика, природничі науки

uk: Фізика, Астрономія

description: Quiz on Integrated Micro Electronic Devices from October 10, 2002.

uk: вхід без авторизації


uk: Машинобудування/Технологія

uk: Математика, природничі науки

uk: Фізика, Астрономія

description: Quiz on Integrated Micro Electronic Devices from November 5, 2002.

uk: вхід без авторизації


vssver.scc

uk: Машинобудування/Технологія

uk: Математика, природничі науки

uk: Фізика, Астрономія

uk: вхід без авторизації


Applied Quantum and Statistical Physics

keywords:
Science
Physics
Mathematics
Probability and Statistics
Quantum Mechanics
Classical Mechanics

uk: Математика, природничі науки

uk: Фізика, Астрономія

description: 6.728 is offered under the department's "Devices, Circuits, and Systems" concentration. The course covers concepts in elementary quantum mechanics and statistical physics, introduces applied quantum physics, and emphasizes an experimental basis for quantum mechanics. Concepts covered include: Schrodinger's equation applied to the free particle, tunneling, the harmonic oscillator, and hydrogen atom, variational methods, Fermi-Dirac, Bose-Einstein, and Boltzmann distribution functions, and simple models for metals, semiconductors, and devices such as electron microscopes, scanning tunneling microscope, thermonic emitters, atomic force microscope, and others.

uk: вхід без авторизації