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Kataloget dækker alt fra data science og machine learning til Azure, Google Ads, Meta Business, ledelse og strategi. De fleste kurser er på engelsk, og mange tilbyder gratis certifikater eller diplomer.

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Science & Math5642 Engineering4201 Mathematics2293 Social Sciences2144 Data Science, Analytics & Computer Technology2067 Physics1776 Computer Science1714 Humanities1549 Business & Management1464 Systems Engineering894 Literature861 Art, Design & Architecture797 Electrical Engineering797 Biology785 Chemistry696 Economics684 Energy, Climate & Sustainability660 Communication603 Health & Medicine586 AI564 Education & Teaching543 Algorithms and Data Structures493 Mechanical Engineering458 Materials Science and Engineering455 Software Design and Engineering449 Machine Learning427 Management421 Chemical Engineering366 Energy365 Policy and Administration347 Cognitive Science345 Operations334 Pedagogy and Curriculum331 Digital Learning328 Digital Business & IT326 History306 Media Studies306 Sociology304 Biomedical Technologies295 Earth Science278 Organizations & Leadership278 Urban Studies273 Visual Arts251 Programming & Coding250 Climate Science233 Biological Engineering207 Public Health205 Philosophy196 Systems Thinking186 Political Science185 Innovation & Entrepreneurship184 Educational Technology180 Psychology180 Adaptation and Resilience172 Anthropology171 Aerospace Engineering161 Finance & Accounting159 Language159 Architecture153 Game Design149 Climate and Energy Policy144 Strategy & Innovation143 Visualization143 Networks and Security142 Data Science138 Environmental Engineering129 Pathology and Pathophysiology124 Music121 Entrepreneurship118 Linguistics108 International Development104 Supply Chain96 Civil Engineering90 Nuclear Engineering88 Startups/New Enterprises86 Imaging71 Mental Health69 Faculty Leadership67 Ocean Engineering65 Gender Studies60 User Experience58 Environmental Design51 Immunology42 Built Environment41 Manufacturing35 Product Innovation35 Health Care Management34 Performing Arts34 Geography30 Marketing28 Sustainable Business28 Education Policy26 Innovation Process26 Law24 Real Estate24 Ecosystems22 Business Analytics21 Corporate Innovation21 Art History17 AR/VR/MR/XR12 Religion11 CyberSecurity6 Blockchain4 Natural Systems4 Negotiation & Communication4 Inventions & Patents3 Environmental and Climate Justice1 Innovation Ecosystems1

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MIT

Signals, Systems and Information for Media Technology

This class teaches the fundamentals of signals and information theory with emphasis on modeling audio/visual messages and physiologically derived signals, and the human source or recipient. Topics include linear systems, difference equations, Z-transforms, sampling and sampling rate conversion, convolution, filtering, modulation, Fourier analysis, entropy, noise, and Shannon’s fundamental theorems. Additional topics may include data compression, filter design, and feature detection. The undergraduate subject MAS.160 meets with the two half-semester graduate subjects MAS.510 and MAS.511, but assignments differ.

Gratis

MIT

Organizing for Innovative Product Development

This course introduces new product development. Topics include technology transfer, relations between science and technology, and the innovation process.

Gratis

MIT

Logistics and Supply Chain Management

This course surveys operations research models and techniques developed for a variety of problems arising in logistical planning of multi-echelon systems. There is a focus on planning models for production/inventory/distribution strategies in general multi-echelon multi-item systems. Topics include vehicle routing problems, dynamic lot sizing inventory models, stochastic and deterministic multi-echelon inventory systems, the bullwhip effect, pricing models, and integration problems arising in supply chain management. Probability and linear programming experience required.

Gratis

MIT

Numerical Computation for Mechanical Engineers

This class introduces elementary programming concepts including variable types, data structures, and flow control. After an introduction to linear algebra and probability, it covers numerical methods relevant to mechanical engineering, including approximation (interpolation, least squares and statistical regression), integration, solution of linear and nonlinear equations, ordinary differential equations, and deterministic and probabilistic approaches. Examples are drawn from mechanical engineering disciplines, in particular from robotics, dynamics, and structural analysis. Assignments require MATLAB® programming.

Gratis

MIT

Network Optimization

15.082J/6.855J/ESD.78J is a graduate subject in the theory and practice of network flows and its extensions. Network flow problems form a subclass of linear programming problems with applications to transportation, logistics, manufacturing, computer science, project management, and finance, as well as a number of other domains. This subject will survey some of the applications of network flows and focus on key special cases of network flow problems including the following: the shortest path problem, the maximum flow problem, the minimum cost flow problem, and the multi-commodity flow problem. We will also consider other extensions of network flow problems.

Gratis

MIT

Introduction to Convex Optimization

This course aims to give students the tools and training to recognize convex optimization problems that arise in scientific and engineering applications, presenting the basic theory, and concentrating on modeling aspects and results that are useful in applications. Topics include convex sets, convex functions, optimization problems, least-squares, linear and quadratic programs, semidefinite programming, optimality conditions, and duality theory. Applications to signal processing, control, machine learning, finance, digital and analog circuit design, computational geometry, statistics, and mechanical engineering are presented. Students complete hands-on exercises using high-level numerical software. Acknowledgements The course materials were developed jointly by Prof. Stephen Boyd (Stanford), who was a visiting professor at MIT when this course was taught, and Prof. Lieven Vanderberghe (UCLA).

Gratis

MIT

Laboratory Fundamentals in Biological Engineering

This course introduces experimental biochemical and molecular techniques from a quantitative engineering perspective. Experimental design, data analysis, and scientific communication form the underpinnings of this subject. Three discovery-based experimental modules focus on RNA engineering, protein engineering, and cell-biomaterial engineering. This OCW site is based on the source OpenWetWare class Wiki, 20.109(S10): Laboratory Fundamentals of Biological Engineering.

Gratis

MIT

Seminar in Electric Power Systems

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.

Gratis

MIT

Finite Element Procedures for Solids and Structures

Finite element analysis is now widely used for solving complex static and dynamic problems encountered in engineering and the sciences. In these two video courses, Professor K. J. Bathe, a researcher of world renown in the field of finite element analysis, teaches the basic principles used for effective finite element analysis, describes the general assumptions, and discusses the implementation of finite element procedures for linear and nonlinear analyses. These videos were produced in 1982 and 1986 by the MIT Center for Advanced Engineering Study.

Gratis

MIT

Special Topics in Media Technology: Cooperative Machines

This course examines the issues, principles, and challenges toward building machines that cooperate with humans and with other machines. Philosophical, scientific, and theoretical insights into this subject will be covered, as well as how these ideas are manifest in both natural and artificial systems (e.g. software agents and robots).

Gratis

MIT

Numerical Computation for Mechanical Engineers

Gratis

MIT

Engineering Risk-Benefit Analysis

ERBA (ESD.72) emphasizes three methodologies - reliability and probabilistic risk assessment (RPRA), decision analysis (DA), and cost-benefit analysis (CBA). In this class, the issues of interest are: the risks associated with large engineering projects such as nuclear power reactors, the International Space Station, and critical infrastructures; the development of new products; the design of processes and operations with environmental externalities; and infrastructure renewal projects.

Gratis

MIT

Network and Computer Security

6.857 Network and Computer Security is an upper-level undergraduate, first-year graduate course on network and computer security. It fits within the Computer Systems and Architecture Engineering concentration.

Gratis

MIT

Introduction to Civil and Environmental Engineering Design I

In this sophomore design course, you will be challenged with three design tasks: a first concerning water resources/treatment, a second concerning structural design, and a third focusing on the conceptual (re)design of a large system, Boston’s Back Bay. The first two tasks require the design, fabrication and testing of hardware. Several laboratory experiments will be carried out and lectures will be presented to introduce students to the conceptual and experimental basis for design in both domains. This course was based in large part on the Fall 2005 offering of 1.101, developed by Prof. Harold Hemond.

Gratis

MIT

Machine Vision

Machine Vision provides an intensive introduction to the process of generating a symbolic description of an environment from an image. Lectures describe the physics of image formation, motion vision, and recovering shapes from shading. Binary image processing and filtering are presented as preprocessing steps. Further topics include photogrammetry, object representation alignment, analog VLSI and computational vision. Applications to robotics and intelligent machine interaction are discussed.

Gratis

MIT

Introduction to Design Computing

This course will introduce students to architectural design and computation through the use of computer modeling, rendering and digital fabrication. The course focuses on teaching architectural design with CAD drawing, 3-D modeling, rendering and rapid prototyping. Students will be required to build computer models that will lead to a full package of architectural explorations with computers. Each semester we will explore the design process of a particular building type and building material. The course also investigates a few design processes of selected architects. The course is critical of design principles and building production methods. Student assignments are graded based on the quality of design, representation and constructability. Great design input is always encouraged.

Gratis

MIT

Algorithmic Aspects of Machine Learning

This course is organized around algorithmic issues that arise in machine learning. Modern machine learning systems are often built on top of algorithms that do not have provable guarantees, and it is the subject of debate when and why they work. In this class, we focus on designing algorithms whose performance we can rigorously analyze for fundamental machine learning problems.

Gratis

MIT

Use of Joint Fact Finding in Science Intensive Policy Disputes, Part I

11.941 and 11.942 make up a one-year seminar. The goal of this seminar is to explore the role of science and scientists in ecosystems and natural resources management focusing on joint fact finding as a new approach to environmental policy-making. Increasingly scientists and science organizations are confronting a conundrum: Why is science often ignored in important societal decisions even as the call for decisions based on sound science escalates? One reason is that decision-making is often driven by a variety of nonscientific, adversarial, and stakeholder dynamics. Thus, even though science helps inform choices, it is only one of many values and interests considered by each stakeholder. In response to this emerging challenge, scientists, and science agencies such as the U.S. Geological Survey, are embarking upon research that explores the problems of incorporating science into value-laden societal decisions. This research includes designing experiments that will assess the appropriateness of using the new and emerging approach of Joint Fact Finding to address some of the Nation’s most contentious environmental conflicts. In the first few sessions we will examine the problems of using science in environmental disputes. In following sessions, students will analyze and discuss cases that involved or that should have involved Joint Fact Finding of various kinds.

Gratis

MIT

System Design and Analysis based on AD and Complexity Theories

This course studies what makes a good design and how one develops a good design. Students consider how the design of engineered systems (such as hardware, software, materials, and manufacturing systems) differ from the “design” of natural systems such as biological systems; discuss complexity and how one makes use of complexity theory to improve design; and discover how one uses axiomatic design theory (AD theory) in design of many different kinds of engineered systems. Questions are analyzed using Axiomatic Design Theory and Complexity Theory. Case studies are presented including the design of machines, tribological systems, materials, manufacturing systems, and recent inventions. Implications of AD and complexity theories on biological systems discussed.

Gratis

MIT

Information Theory

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.

Gratis

MIT

Quantum Computation

This course provides an introduction to the theory and practice of quantum computation. Topics covered include: physics of information processing, quantum logic, quantum algorithms including Shor’s factoring algorithm and Grover’s search algorithm, quantum error correction, quantum communication, and cryptography.

Gratis

MIT

Applications of System Dynamics

15.875 is a project-based course that explores how organizations can use system dynamics to achieve important goals. In small groups, students learn modeling and consulting skills by working on a term-long project with real-life managers. A diverse set of businesses and organizations sponsor class projects, from start-ups to the Fortune 500. The course focuses on gaining practical insight from the system dynamics process, and appeals to people interested in system dynamics, consulting, or managerial policy-making.

Gratis

MIT

Advanced Circuit Techniques

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.

Gratis

MIT

Desalination and Water Purification

Water supply is a problem of worldwide concern: more than 1 billion people do not have reliable access to clean drinking water. Water is a particular problem for the developing world, but scarcity also impacts industrial societies. Water purification and desalination technology can be used to convert brackish ground water or seawater into drinking water. The challenge is to do so sustainably, with minimum cost and energy consumption, and with appropriately accessible technologies. This subject will survey the state-of-the-art in water purification by desalination and filtration. Fundamental thermodynamic and transport processes which govern the creation of fresh water from seawater and brackish ground water will be developed. The technologies of existing desalination systems will be discussed, and factors which limit the performance or the affordability of these systems will be highlighted. Energy efficiency will be a focus. Nanofiltration and emerging technologies for desalination will be considered. A student project in desalination will involve designing a well-water purification system for a village in Haiti.

Gratis

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4201

Mathematics2293

Social Sciences2144

Data Science, Analytics & Computer Technology2067

Physics1776

Computer Science1714

Humanities1549

Business & Management1464

Systems Engineering894

Literature861

Art, Design & Architecture797

Electrical Engineering797

Biology785

Chemistry696

Economics684

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