Courses found: 164

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Course
Description
Dates
1
15-072js06-
15-072js06-
Prof. David Gamarnik
MIT OpenCourseWare
Business & Management Computer Science
Gb Free
Course added: long ago
In selections:
System-of-communications-262x136
This class deals with the modeling and analysis of queueing systems, with applications in communications, manufacturing, computers, call centers, service industries and transportation. Topics include birth-death processes and simple Markovian queues, networks of queues and product form networks, single...
Free schedule
2
15-083jf09
15-083jf09
Prof. Dimitris Bertsimas
MIT OpenCourseWare
Business & Management Computer Science
Gb Free
Course added: long ago
In selections:
6-055js08
The course is a comprehensive introduction to the theory, algorithms and applications of integer optimization and is organized in four parts: formulations and relaxations, algebra and geometry of integer optimization, algorithms for integer optimization, and extensions of integer optimization.
Free schedule
3
15-084jf04
15-084jf04
Prof. Robert Freund
MIT OpenCourseWare
Business & Management Computer Science
Gb Free
Course added: long ago
In selections:
6-055js08
This course introduces students to the fundamentals of nonlinear optimization theory and methods. Topics include unconstrained and constrained optimization, linear and quadratic programming, Lagrange and conic duality theory, interior-point algorithms and theory, Lagrangian relaxation, generalized programming...
Free schedule
4
15-093jf09
15-093jf09
Prof. Dimitris Bertsimas
MIT OpenCourseWare
Business & Management Computer Science
Gb Free
Course added: long ago
In selections:
6-055js08
This course introduces the principal algorithms for linear, network, discrete, nonlinear, dynamic optimization and optimal control. Emphasis is on methodology and the underlying mathematical structures. Topics include the simplex method, network flow methods, branch and bound and cutting plane methods...
Free schedule
Favored by 1 person
5
16-412js05
16-412js05
Prof. Brian Williams
MIT OpenCourseWare
Computer Science Engineering & Technology
Gb Free
Course added: long ago
Cognitive robotics addresses the emerging field of autonomous systems possessing artificial reasoning skills. Successfully-applied algorithms and autonomy models form the basis for study, and provide students an opportunity to design such a system as part of their class project. Theory and application...
Free schedule
Favored by 1 person
6
16-920js03
16-920js03
A presentation of the fundamentals of modern numerical techniques for a wide range of linear and nonlinear elliptic, parabolic and hyperbolic partial differential equations and integral equations central to a wide variety of applications in science, engineering, and other fields. Topics include: Mathematical...
Free schedule
7
2-996f07
2-996f07
Dr. Hongshen Ma
MIT OpenCourseWare
Computer Science Engineering & Technology
Gb Free
Course added: long ago
This course provides intensive coverage of the theory and practice of electromechanical instrument design with application to biomedical devices. Students will work with MGH doctors to develop new medical products from concept to prototype development and testing. Lectures will present techniques for...
Free schedule
8
6-00f08
6-00f08
Prof. Eric Grimson
MIT OpenCourseWare
Computer Science
Gb Free
Course added: long ago
This subject is aimed at students with little or no programming experience. It aims to provide students with an understanding of the role computation can play in solving problems. It also aims to help students, regardless of their major, to feel justifiably confident of their ability to write small programs...
Free schedule
9
6-001s05
6-001s05
Prof. Eric Grimson
MIT OpenCourseWare
Computer Science
Gb Free
Course added: long ago
In selections:
Small-icon.hover Small-icon.hover
This course introduces students to the principles of computation. Upon completion of 6.001, students should be able to explain and apply the basic methods from programming languages to analyze computational systems, and to generate computational solutions to abstract problems. Substantial weekly programming...
Free schedule
Favored by 1 person
10
6-002s07
6-002s07
Prof. Anant Agarwal
MIT OpenCourseWare
Computer Science
Gb Free
Course added: long ago
In selections:
6-055js08 Embedded-systems_shape-the-world_378x225 06fd4a4d-2fc7-4fd8-a987-0d180c3015ac-b0aaf51816d6.small
6.002 is designed to serve as a first course in an undergraduate electrical engineering (EE), or electrical engineering and computer science (EECS) curriculum. At MIT, 6.002 is in the core of department subjects required for all undergraduates in EECS. The course introduces the fundamentals of the lumped...
Free schedule
11
6-003f11
6-003f11
Prof. Dennis Freeman
MIT OpenCourseWare
Computer Science
Gb Free
Course added: long ago
In selections:
6-055js08
6.003 covers the fundamentals of signal and system analysis, focusing on representations of discrete-time and continuous-time signals (singularity functions, complex exponentials and geometrics, Fourier representations, Laplace and Z transforms, sampling) and representations of linear, time-invariant...
Free schedule
12
6-004s09
6-004s09
Prof. Steve Ward
MIT OpenCourseWare
Computer Science
Gb Free
Course added: long ago
6.004 offers an introduction to the engineering of digital systems. Starting with MOS transistors, the course develops a series of building blocks — logic gates, combinational and sequential circuits, finite-state machines, computers and finally complete systems. Both hardware and software mechanisms...
Free schedule
13
6-005f11
6-005f11
Prof. Robert Miller
MIT OpenCourseWare
Computer Science
Gb Free
Course added: long ago
This course introduces fundamental principles and techniques of software development. Students learn how to write software that is safe from bugs, easy to understand, and ready for change. Topics include specifications and invariants; testing, test-case generation, and coverage; state machines; abstract...
Free schedule
14
6-005f11
6-005f11
Prof. Robert Miller
MIT OpenCourseWare
Computer Science
Gb Free
Course added: long ago
This course introduces fundamental principles and techniques of software development. Students learn how to write software that is safe from bugs, easy to understand, and ready for change. Topics include specifications and invariants; testing, test-case generation, and coverage; state machines; abstract...
Free schedule
15
6-006f11
6-006f11
Prof. Erik Demaine
MIT OpenCourseWare
Computer Science
Gb Free
Course added: long ago
In selections:
6-046jf05 Cs191x-listing-banner_0 Vyyjayfzd3pynkssdhnqwcrx4bk4ennc1-ren956ujr2e1pya9umefxe-z08yngaz4nptzjr4nqcte0whwul=s0#w=1724&h=1060
This course provides an introduction to mathematical modeling of computational problems. It covers the common algorithms, algorithmic paradigms, and data structures used to solve these problems. The course emphasizes the relationship between algorithms and programming, and introduces basic performance...
Free schedule
Favored by 1 person
16
6-006s08
6-006s08
Prof. Erik Demaine
MIT OpenCourseWare
Computer Science
Gb Free
Course added: long ago
This course provides an introduction to mathematical modeling of computational problems. It covers the common algorithms, algorithmic paradigms, and data structures used to solve these problems. The course emphasizes the relationship between algorithms and programming, and introduces basic performance...
Free schedule
17
6-007f11
6-007f11
Prof. Vladimir Bulovic
MIT OpenCourseWare
Computer Science
Gb Free
Course added: long ago
In selections:
6-055js08
This course discusses applications of electromagnetic and equivalent quantum mechanical principles to classical and modern devices. It covers energy conversion and power flow in both macroscopic and quantum-scale electrical and electromechanical systems, including electric motors and generators, electric...
Free schedule
18
6-00scf11
6-00scf11
Prof. John Guttag
MIT OpenCourseWare
Computer Science
Gb Free
Course added: long ago
In selections:
Csci52
This subject is aimed at students with little or no programming experience. It aims to provide students with an understanding of the role computation can play in solving problems. It also aims to help students, regardless of their major, to feel justifiably confident of their ability to write small programs...
Free schedule
Favored by 1 person
19
6-011s05
6-011s05
Prof. George Verghese
MIT OpenCourseWare
Computer Science
Gb Free
Course added: long ago
This course is taken mainly by undergraduates, and explores ideas involving signals, systems and probabilistic models in the context of communication, control and signal processing applications. The material expands out from the basics in 6.003 and 6.041. The treatment involves aspects of analysis, synthesis...
Free schedule
20
6-011s10
6-011s10
Prof. Alan V. Oppenheim
MIT OpenCourseWare
Computer Science
Gb Free
Course added: long ago
In selections:
6-055js08
This course examines signals, systems and inference as unifying themes in communication, control and signal processing. Topics include input-output and state-space models of linear systems driven by deterministic and random signals; time- and transform-domain representations in discrete and continuous...
Free schedule



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