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Science & Math5661 Engineering4186 Mathematics2318 Social Sciences2120 Data Science, Analytics & Computer Technology1993 Physics1771 Computer Science1700 Humanities1550 Business & Management1313 Systems Engineering913 Literature861 Art, Design & Architecture797 Electrical Engineering795 Biology785 Chemistry696 Economics682 Energy, Climate & Sustainability642 Communication581 Health & Medicine578 Education & Teaching541 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 Operations311 History307 Media Studies306 Sociology304 Digital Business & IT291 Biomedical Technologies290 Earth Science278 Urban Studies273 Visual Arts252 Programming & Coding247 Climate Science232 Organizations & Leadership223 Biological Engineering205 Public Health204 Philosophy196 Political Science185 Systems Thinking181 Educational Technology180 Psychology180 Adaptation and Resilience171 Anthropology171 Aerospace Engineering162 Language159 Finance & Accounting156 Architecture153 Game Design149 Climate and Energy Policy143 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 Engineering87 Startups/New Enterprises86 Imaging71 Mental Health69 Faculty Leadership67 Ocean Engineering65 Gender Studies60 User Experience58 Environmental Design51 Immunology42 Built Environment41 Performing Arts34 Health Care Management33 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

Darwin and Design

Humans are social animals; social demands, both cooperative and competitive, structure our development, our brain and our mind. This course covers social development, social behaviour, social cognition and social neuroscience, in both human and non-human social animals. Topics include altruism, empathy, communication, theory of mind, aggression, power, groups, mating, and morality. Methods include evolutionary biology, neuroscience, cognitive science, social psychology and anthropology.

Gratis

MIT

Cognitive Processes

This undergraduate course is designed to introduce students to cognitive processes. The broad range of topics covers each of the areas in the field of cognition, and presents the current thinking in this discipline. As an introduction to human information processing and learning, the topics include the nature of mental representation and processing, the architecture of memory, pattern recognition, attention, imagery and mental codes, concepts and prototypes, reasoning and problem solving.

Gratis

MIT

Neural Basis of Learning and Memory

This course highlights the interplay between cellular and molecular storage mechanisms and the cognitive neuroscience of memory, with an emphasis on human and animal models of hippocampal mechanisms and function. Class sessions include lectures and discussion of papers.

Gratis

MIT

Experimental Molecular Neurobiology

Designed for students without previous experience in techniques of cellular and molecular biology, this class teaches basic experimental techniques in cellular and molecular neurobiology. Experimental approaches covered include tissue culture of neuronal cell lines, dissection and culture of brain cells, DNA manipulation, synaptic protein analysis, immunocytochemistry, and fluorescent microscopy.

Gratis

MIT

Physical Intelligence

For all of the bodies attached to the many great minds that walk the Institute’s halls, in the work that goes on at MIT the body is present as an object of study, but is all but unrecognized as an important dimension of our intelligence and experience. Yet the body is the basis of our experience in the world; it is the very foundation on which cognitive intelligence is built. Using the MIT gymnastics gym as our laboratory, the Physical Intelligence activity will take an innovative, hands-on approach to explore the kinesthetic intelligence of the body as applicable to a wide range of disciplines. Via exercises, activities, readings and discussions designed to excavate our physical experience, we will not only develop balance, agility, flexibility and strength, but a deep appreciation for the inherent unity of mind and body that suggests physical intelligence as a powerful complement to cognitive intelligence.

Gratis

MIT

Advanced Animal Behavior

The course includes survey and special topics designed for graduate students in the brain and cognitive sciences. It emphasizes ethological studies of natural behavior patterns and their analysis in laboratory work, with contributions from field biology (mammology, primatology), sociobiology, and comparative psychology. It stresses mammalian behavior but also includes major contributions from studies of other vertebrates and of invertebrates. It covers some applications of animal-behavior knowledge to neuropsychology and behavioral pharmacology.

Gratis

MIT

The Development of Object and Face Recognition

This course takes a ‘back to the beginning’ view that aims to better understand the end result. What might be the developmental processes that lead to the organization of ‘booming, buzzing confusions’ into coherent visual objects? This course examines key experimental results and computational proposals pertinent to the discovery of objects in complex visual inputs. The structure of the course is designed to get students to learn and to focus on the genre of study as a whole; to get a feel for how science is done in this field.

Gratis

MIT

Neuroscience of Morality

How do we decide whether an action is morally wrong? How do we choose to do what is right? When and why do we punish wrong-doers? Moral behavior and moral evaluation are functions of the human brain. It is just becoming possible to use neuroscientific methods to understand how they work. This course will consider the mechanisms of morality as a question for neuroscientists.

Gratis

MIT

fMRI Bootcamp

This video lecture series begins with an introduction to the basics of anatomical and functional MRI and the time course of the fMRI signal, then delves into several methods for analyzing fMRI data. The series emphasizes how to think about fMRI data and the steps of analysis rather than the technical execution of each step. Lecture Topics: fMRI Bootcamp Part 1 - Basics of fMRI fMRI Bootcamp Part 2 - fMRI timecourse fMRI Bootcamp Part 3 - Univariate analysis fMRI Bootcamp Part 4 - Multivariate analysis fMRI Bootcamp Part 5 - Multivoxel pattern analysis (MVPA) fMRI Bootcamp Part 6 - Classification fMRI Bootcamp Part 7 - Representational similarity fMRI Bootcamp Part 8 - fMRI & multiple comparisons fMRI Bootcamp Part 9 - Hyperalignment Additional Resources: Rebecca Saxe’s Lab website Analyzing fMRI Data page in Modeling and Data Analysis Tools and Datasets Poldrack R. A., Mumford J. A., Nichols T. E. (2011) Handbook of Functional MRI Data Analysis, Cambridge University Press. ISBN: 9780521517669 [hardcover, eBook, Google Books preview]

Gratis

MIT

Computational Cognitive Science

An introduction to computational theories of human cognition. Emphasizes questions of inductive learning and inference, and the representation of knowledge. Project required for graduate credit. This class is suitable for intermediate to advanced undergraduates or graduate students specializing in cognitive science, artificial intelligence, and related fields.

Gratis

MIT

AFNI Training Bootcamp

This training course is an introduction to the use of the AFNI software suites for the analysis of functional MRI (fMRI) data. It is not intended as an introduction to how fMRI works but is aimed at people who are already doing fMRI data analysis, or those who will be in the near future. AFNI (Analysis of Functional NeuroImages) is a leading software suite of C, Python, and R programs and shell scripts, primarily developed for the analysis and display of anatomical and fMRI data. It is freely available for research purposes. This event was organized by the Center for Brains, Minds, and Machines (CBMM) Trainee Leadership Council. CBMM is a multi-institutional NSF Science and Technology Center headquartered at MIT that is dedicated to developing a computationally based understanding of human intelligence and establishing an engineering practice based on that understanding. CBMM brings together computer scientists, cognitive scientists, and neuroscientists to create a new field—the science and engineering of intelligence.

Gratis

MIT

Special Topics in Vision Science

An advanced seminar on issues of current interest in human and machine vision. Topics vary from year to year. This year, the class will involve studying the perception of materials. Participants discuss current literature as well as their ongoing research. Topics are tackled from multiple standpoints, including optics, psychophysics, computer graphics and computer vision.

Gratis

MIT

Sensation And Perception

This course provides an introduction to important philosophical questions about the mind, specifically those that are intimately connected with contemporary psychology and neuroscience. Are our concepts innate, or are they acquired by experience? (And what does it even mean to call a concept ‘innate’?) Are ‘mental images’ pictures in the head? Is color in the mind or in the world? Is the mind nothing more than the brain? Can there be a science of consciousness? The course will include guest lectures by Professors.

Gratis

MIT

Feeling and Imagination in Art, Science, and Technology

This course is a seminar on creativity in art, science, and technology. We discuss how these pursuits are jointly dependent on affective as well as cognitive elements in human nature. We study feeling and imagination in relation to principles of idealization, consummation, and the aesthetic values that give meaning to science and technology as well as literature and the other arts. Readings in philosophy, psychology, and literature are part of the course.

Gratis

MIT

Pattern Recognition for Machine Vision

The applications of pattern recognition techniques to problems of machine vision is the main focus for this course. Topics covered include, an overview of problems of machine vision and pattern classification, image formation and processing, feature extraction from images, biological object recognition, bayesian decision theory, and clustering.

Gratis

MIT

Probability and Causality in Human Cognition

Probability theory captures a number of essential characteristics of human cognition, including aspects of perception, reasoning, belief revision, and learning. Expressions of degree of belief were used in language long before people began codifying the laws of probability theory. This course explores the history and debates over codifying the laws of probability, how probability theory applies to specific cognitive processes, how it relates to the human understanding of causality, and how new computational approaches to causal modeling provide a framework for understanding human probabilistic reasoning. This class is suitable for advanced undergraduates or graduate students specializing in cognitive science, artificial intelligence, and related fields.

Gratis

MIT

The Human Brain

This course surveys the core perceptual and cognitive abilities of the human mind and asks how they are implemented in the brain. Key themes include the representations, development, and degree of functional specificity of these components of mind and brain. The course will take students straight to the cutting edge of the field, empowering them to understand and critically evaluate empirical articles in the current literature.

Gratis

MIT

Darwin and Design

This subject offers a broad survey of texts (both literary and philosophical) drawn from the Western tradition and selected to trace the immediate intellectual antecedents and some of the implications of the ideas animating Darwin’s revolutionary On the Origin of Species. Darwin’s text, of course, is about the mechanism that drives the evolution of life on this planet, but the fundamental ideas of the text have implications that range well beyond the scope of natural history, and the assumptions behind Darwin’s arguments challenge ideas that go much further back than the set of ideas that Darwin set himself explicitly to question - ideas of decisive importance when we think about ourselves, the nature of the material universe, the planet that we live upon, and our place in its scheme of life. In establishing his theory of natural selection, Darwin set himself, rather self-consciously, to challenge a whole way of thinking about these things. The main focus of attention will be Darwin’s contribution to the so-called “argument from design” - the notion that innumerable aspects of the world (and most particularly the organisms within it) display features directly analogous to objects of human design and, since design implies a designer, that an intelligent, conscious agency must have been responsible for their organization and creation. Previously, it had been argued that such features must have only one of two ultimate sources - chance or conscious agency. Darwin proposed and elaborated a third source, which he called Natural Selection, an unconscious agency capable of outdoing the most complex feats of human intelligence. The course of study will not only examine the immediate inspiration for this idea in the work of Adam Smith and Thomas Malthus and place Darwin’s Origin and the theory of Natural Selection in the history of ensuing debate, but it will also touch upon related issues.

MIT

Statistical Learning Theory and Applications

This course is for upper-level graduate students who are planning careers in computational neuroscience. This course focuses on the problem of supervised learning from the perspective of modern statistical learning theory starting with the theory of multivariate function approximation from sparse data. It develops basic tools such as Regularization including Support Vector Machines for regression and classification. It derives generalization bounds using both stability and VC theory. It also discusses topics such as boosting and feature selection and examines applications in several areas: Computer Vision, Computer Graphics, Text Classification, and Bioinformatics. The final projects, hands-on applications, and exercises are designed to illustrate the rapidly increasing practical uses of the techniques described throughout the course.

Gratis

MIT

The Lexicon and Its Features

This course provides an overview of the distinctive features which distinguish sound categories of languages of the world. Theories which relate these categories to their acoustic and articulatory correlates, both universally and in particular languages, are covered. Models of word recognition by listeners, features, and phonological structure are also discussed. In addition, the course offers a variety of perspectives on these issues, drawn from Electrical Engineering, Linguistics and Cognitive Science.

Gratis

MIT

Common Sense Reasoning for Interactive Applications

This course will explore the state of the art in common sense knowledge, and class projects will design and build interfaces that can exploit this knowledge to make more usable and helpful interfaces. This year’s theme will be about how common sense knowledge differs in different languages and cultures, and how machine understanding of this knowledge can help increase communication between people, and between people and machines.

Gratis

MIT

The Brain and Cognitive Sciences II

This class is the second half of an intensive survey of cognitive science for first-year graduate students. Topics include visual perception, language, memory, cognitive architecture, learning, reasoning, decision-making, and cognitive development. Topics covered are from behavioral, computational, and neural perspectives.

Gratis

MIT

Cellular Neurobiology

This course serves as an introduction to the structure and function of the nervous system. Emphasis is placed on the cellular properties of neurons and other excitable cells. Topics covered include the structure and biophysical properties of excitable cells, synaptic transmission, neurochemistry, neurodevelopment, and the integration of information in simple systems and the visual system.

Gratis

MIT

Neuroscience and Behavior

This course covers the relation of structure and function at various levels of neuronal integration. Topics include functional neuroanatomy and neurophysiology, sensory and motor systems, centrally programmed behavior, sensory systems, sleep and dreaming, motivation and reward, emotional displays of various types, “higher functions” and the neocortex, and neural processes in learning and memory.

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Data Science, Analytics & Computer Technology1993

Physics1771

Computer Science1700

Humanities1550

Business & Management1313

Systems Engineering913

Literature861

Art, Design & Architecture797

Electrical Engineering795

Biology785

Chemistry696

Economics682

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Får jeg et diplom eller certifikat?

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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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