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Science & Math5636 Engineering4162 Mathematics2293 Social Sciences2121 Data Science, Analytics & Computer Technology1992 Physics1771 Computer Science1700 Humanities1549 Business & Management1312 Systems Engineering888 Literature861 Art, Design & Architecture796 Electrical Engineering796 Biology785 Chemistry696 Economics683 Energy, Climate & Sustainability644 Communication581 Health & Medicine577 Education & Teaching543 AI517 Algorithms and Data Structures483 Mechanical Engineering458 Materials Science and Engineering455 Software Design and Engineering449 Management404 Machine Learning390 Chemical Engineering366 Energy364 Policy and Administration347 Cognitive Science345 Pedagogy and Curriculum331 Digital Learning328 Operations310 History306 Media Studies306 Sociology304 Digital Business & IT291 Biomedical Technologies290 Earth Science278 Urban Studies273 Visual Arts251 Programming & Coding247 Climate Science233 Organizations & Leadership222 Biological Engineering205 Public Health204 Philosophy196 Political Science185 Systems Thinking181 Educational Technology180 Psychology180 Adaptation and Resilience172 Anthropology171 Aerospace Engineering161 Language159 Finance & Accounting156 Architecture153 Game Design149 Climate and Energy Policy144 Visualization143 Networks and Security141 Innovation & Entrepreneurship140 Data Science130 Environmental Engineering129 Pathology and Pathophysiology124 Music121 Entrepreneurship112 Linguistics108 Strategy & Innovation108 International Development104 Supply Chain93 Civil Engineering90 Nuclear Engineering88 Startups/New Enterprises86 Imaging71 Mental Health69 Faculty Leadership67 Ocean Engineering65 Gender Studies60 User Experience58 Environmental Design51 Immunology42 Built Environment41 Performing Arts34 Health Care Management32 Geography30 Education Policy26 Innovation Process26 Law24 Real Estate23 Ecosystems22 Marketing19 Manufacturing18 Art History17 Sustainable Business13 AR/VR/MR/XR12 Business Analytics12 Religion11 Product Innovation5 CyberSecurity4 Natural Systems4 Inventions & Patents3 Corporate Innovation2 Negotiation & Communication2 Environmental and Climate Justice1 Innovation Ecosystems1

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MIT

Science Writing and New Media: Writing and the Environment

Environmentalists have traditionally relied upon the power of their prose to transform the thoughts and behavior of their contemporaries. In 1963, Rachel Carson, a marine biologist with a penchant for writing, described a world without wildlife in Silent Spring and altered the way Americans understood their impact on the landscape. Like other writers we will encounter this semester, Carson realized that she could alter the perceptions of her contemporaries only if she was able to transmit her knowledge in engaging and accessible language. We will do our best to follow in her footsteps.

Gratis

MIT

Topics in Algebraic Number Theory

This course provides an introduction to algebraic number theory. Topics covered include dedekind domains, unique factorization of prime ideals, number fields, splitting of primes, class group, lattice methods, finiteness of the class number, Dirichlet’s units theorem, local fields, ramification, discriminants.

Gratis

MIT

Differential Analysis II: Partial Differential Equations and Fourier Analysis

In this course, we study elliptic Partial Differential Equations (PDEs) with variable coefficients building up to the minimal surface equation. Then we study Fourier and harmonic analysis, emphasizing applications of Fourier analysis. We will see some applications in combinatorics / number theory, like the Gauss circle problem, but mostly focus on applications in PDE, like the Calderon-Zygmund inequality for the Laplacian, and the Strichartz inequality for the Schrodinger equation. In the last part of the course, we study solutions to the linear and the non-linear Schrodinger equation. All through the course, we work on the craft of proving estimates.

Gratis

MIT

Physics II: Electricity and Magnetism

This freshman-level course is the second semester of introductory physics. The focus is on electricity and magnetism. The subject is taught using the TEAL (Technology Enabled Active Learning) format which utilizes small group interaction and current technology. The TEAL/Studio Project at MIT is a new approach to physics education designed to help students develop much better intuition about, and conceptual models of, physical phenomena. Staff List Visualizations: Prof. John Belcher Instructors: Dr. Peter Dourmashkin Prof. Bruce Knuteson Prof. Gunther Roland Prof. Bolek Wyslouch Dr. Brian Wecht Prof. Eric Katsavounidis Prof. Robert Simcoe Prof. Joseph Formaggio Course Co-Administrators: Dr. Peter Dourmashkin Prof. Robert Redwine Technical Instructors: Andy Neely Matthew Strafuss Course Material: Dr. Peter Dourmashkin Prof. Eric Hudson Dr. Sen-Ben Liao Acknowledgements The TEAL project is supported by The Alex and Brit d’Arbeloff Fund for Excellence in MIT Education, MIT iCampus, the Davis Educational Foundation, the National Science Foundation, the Class of 1960 Endowment for Innovation in Education, the Class of 1951 Fund for Excellence in Education, the Class of 1955 Fund for Excellence in Teaching, and the Helena Foundation. Many people have contributed to the development of the course materials. (PDF)

Gratis

MIT

Introduction to Nuclear and Particle Physics

This is an introductory graduate-level course on the phenomenology and experimental foundations of nuclear and particle physics, including the fundamental forces and particles, as well as composites. Emphasis is on the experimental establishment of the leading models, and the theoretical tools and experimental apparatus used to establish them.

Gratis

MIT

Single Variable Calculus

This introductory calculus course covers differentiation and integration of functions of one variable, with applications.

Gratis

MIT

Statistical Mechanics II: Statistical Physics of Fields

This is the second term in a two-semester course on statistical mechanics. Basic principles are examined in this class, such as the laws of thermodynamics and the concepts of temperature, work, heat, and entropy. Topics from modern statistical mechanics are also explored, including the hydrodynamic limit and classical field theories.

Gratis

MIT

Project Laboratory in Mathematics

Project Laboratory in Mathematics is a course designed to give students a sense of what it’s like to do mathematical research. In teams, students explore puzzling and complex mathematical situations, search for regularities, and attempt to explain them mathematically. Students share their results through professional-style papers and presentations. This course site was created specifically for educators interested in offering students a taste of mathematical research. This site features extensive description and commentary from the instructors about why the course was created and how it operates.

Gratis

MIT

Topics in Theoretical Computer Science: Probabilistically Checkable Proofs

In this course, we will present the theory of Probabilistically Checkable Proofs (PCPs), and prove some fundamental consequences of it as well as more recent advances. More specifically, the first half of the course will be devoted to the (algebraic) proof of the basic PCP Theorem and basic relation to approximation problems. We will then move on to more advanced topics, such as hardness amplification, the long-code framework, the Unique-Games Conjecture and its implications, and the 2-to-2 Games Theorem.

Gratis

MIT

Time Series Analysis

The course provides a survey of the theory and application of time series methods in econometrics. Topics covered will include univariate stationary and non-stationary models, vector autoregressions, frequency domain methods, models for estimation and inference in persistent time series, and structural breaks. We will cover different methods of estimation and inferences of modern dynamic stochastic general equilibrium models (DSGE): simulated method of moments, Maximum likelihood and Bayesian approach. The empirical applications in the course will be drawn primarily from macroeconomics.

Gratis

MIT

Laboratory Fundamentals in Biological Engineering

This course introduces experimental biochemical and molecular techniques from a quantitative engineering perspective. Experimental design, rigorous data analysis, and scientific communication form the underpinnings of this subject. Three discovery-based experimental modules focus on genome engineering, expression engineering, and biomaterial engineering. This OCW site is based on the source OpenWetWare class Wiki, found at 20.109(F07): Laboratory Fundamentals of Biological Engineering.

Gratis

MIT

Structure of Earth Materials

This course provides a comprehensive introduction to crystalline structure, crystal chemistry, and bonding in rock-forming minerals. It introduces the theory relating crystal structure and crystal symmetry to physical properties such as refractive index, elastic modulus, and seismic velocity. It surveys the distribution of silicate, oxide, and metallic minerals in the interiors and on the surfaces of planets, and discusses the processes that led to their formation. It also addresses why diamonds are hard and why micas split into thin sheets.

Gratis

MIT

Economic & Environmental Issues in Materials Selection

Choice of material has implications throughout the life-cycle of a product, influencing many aspects of economic and environmental performance. This course will provide a survey of methods for evaluating those implications. Lectures will cover topics in material choice concepts, fundamentals of engineering economics, manufacturing economics modeling methods, and life-cycle environmental evaluation.

Gratis

MIT

Photon and Neutron Scattering Spectroscopy and Its Applications in Condensed Matter

The purpose of this course is to discuss modern techniques of generation of x-ray photons and neutrons and then follow with selected applications of newly developed photon and neutron scattering spectroscopic techniques to investigations of properties of condensed matter which are of interest to nuclear engineers.

Gratis

MIT

Molecular Biology and Genetics in Modern Medicine

This course provides a foundation for understanding the relationship between molecular biology, developmental biology, genetics, genomics, bioinformatics, and medicine. It develops explicit connections between basic research, medical understanding, and the perspective of patients. Principles of human genetics are reviewed. We translate clinical understanding into analysis at the level of the gene, chromosome and molecule; we cover the concepts and techniques of molecular biology and genomics, and the strategies and methods of genetic analysis, including an introduction to bioinformatics. Material in the course extends beyond basic principles to current research activity in human genetics.

Gratis

MIT

Introduction to Functional Analysis

Functional analysis helps us study and solve both linear and nonlinear problems posed on a normed space that is no longer finite-dimensional, a situation that arises very naturally in many concrete problems. Topics include normed spaces, completeness, functionals, the Hahn-Banach Theorem, duality, operators; Lebesgue measure, measurable functions, integrability, completeness of Lᵖ spaces; Hilbert spaces; compact and self-adjoint operators; and the Spectral Theorem.

Gratis

MIT

Computing and Data Analysis for Environmental Applications

This subject is a computer-oriented introduction to probability and data analysis. It is designed to give students the knowledge and practical experience they need to interpret lab and field data. Basic probability concepts are introduced at the outset because they provide a systematic way to describe uncertainty. They form the basis for the analysis of quantitative data in science and engineering. The MATLAB® programming language is used to perform virtual experiments and to analyze real-world data sets, many downloaded from the web. Programming applications include display and assessment of data sets, investigation of hypotheses, and identification of possible casual relationships between variables. This is the first semester that two courses, Computing and Data Analysis for Environmental Applications (1.017) and Uncertainty in Engineering (1.010), are being jointly offered and taught as a single course.

Gratis

MIT

Structural Geology

Structural geology is the study of processes and products of rock deformation. This course introduces the techniques of structural geology through a survey of the mechanics of rock deformation, a survey of the features and geometries of faults and folds, and techniques of strain analysis. Regional structural geology and tectonics are introduced. Class lectures are supplemented by lab exercises and demonstrations as well as field trips to local outcrops.

Gratis

MIT

How to Win at Texas Hold'em Poker

Offered during MIT’s Independent Activites Period (IAP), this short course covers the poker concepts, math concepts, and general concepts needed to play the game of Texas Hold’em on a professional level. IAP is a special 4-week term in January that provides members of the MIT community including students, faculty, staff, and alums with an opportunity to organize, sponsor and participate in a wide variety of activities and topics that are often outside of the regular MIT curriculum. Faculty Advisor: Paul Mende

Gratis

MIT

Tribology

This course addresses the design of tribological systems: the interfaces between two or more bodies in relative motion. Fundamental topics include: geometric, chemical, and physical characterization of surfaces; friction and wear mechanisms for metals, polymers, and ceramics, including abrasive wear, delamination theory, tool wear, erosive wear, wear of polymers and composites; and boundary lubrication and solid-film lubrication. The course also considers the relationship between nano-tribology and macro-tribology, rolling contacts, tribological problems in magnetic recording and electrical contacts, and monitoring and diagnosis of friction and wear. Case studies are used to illustrate key points.

Gratis

MIT

Plasma Transport Theory

This course describes the processes by which mass, momentum, and energy are transported in plasmas, with special reference to magnetic confinement fusion applications. The Fokker-Planck collision operator and its limiting forms, as well as collisional relaxation and equilibrium, are considered in detail. Special applications include a Lorentz gas, Brownian motion, alpha particles, and runaway electrons. The Braginskii formulation of classical collisional transport in general geometry based on the Fokker-Planck equation is presented. Neoclassical transport in tokamaks, which is sensitive to the details of the magnetic geometry, is considered in the high (Pfirsch-Schluter), low (banana) and intermediate (plateau) regimes of collisionality.

Gratis

MIT

Electrical, Optical & Magnetic Materials and Devices

This course explores the relationships which exist between the performance of electrical, optical, and magnetic devices and the microstructural characteristics of the materials from which they are constructed. The class uses a device-motivated approach which emphasizes emerging technologies. Device applications of physical phenomena are considered, including electrical conductivity and doping, transistors, photodetectors and photovoltaics, luminescence, light emitting diodes, lasers, optical phenomena, photonics, ferromagnetism, and magnetoresistance.

Gratis

MIT

Petrology

This undergraduate petrology course surveys the distribution, chemical composition, and mineral associations in rocks of the earth’s crust and upper mantle, and establishes its relation to tectonic environment. The emphasis of the course is on the use of chemistry and physics to interpret rock forming processes.

Gratis

MIT

Complex Variables with Applications

The following topics are covered in the course: complex algebra and functions; analyticity; contour integration, Cauchy’s theorem; singularities, Taylor and Laurent series; residues, evaluation of integrals; multivalued functions, potential theory in two dimensions; Fourier analysis and Laplace transforms.

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Data Science, Analytics & Computer Technology1992

Physics1771

Computer Science1700

Humanities1549

Business & Management1312

Systems Engineering888

Literature861

Art, Design & Architecture796

Electrical Engineering796

Biology785

Chemistry696

Economics683

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De fleste kurser er på engelsk. Kataloget på freelio.dk er på dansk, men selve undervisningen foregår på udbyderens originalsprog. Typisk engelsk for MIT, Microsoft, Google og Meta.

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