Introductory MIT Courses The following courses and resources have been selected to help you explore different types of engineering at MIT. Subjects Biology Chemistry Engineering Humanities & Social Sciences Mathematics Physics Exam Prep Biology Calculus Chemistry Physics More Intro for Students Intro for Teachers Other MIT Resources What is Highlights?
The human brain is the most complex, sophisticated, and powerful information-processing device known. Learn how to apply models for cellular materials to natural materials such as wood, cork, monocotyledon leaves, skulls, palm and bamboo. Learn how to design and optimize the physical, financial, and information flows of a supply chain to enhance business performance. Learn to create your own mobile app using HCI principles and how to report research findings in a formal CHI-style paper. Learn how electronic devices, such as diodes and transistors, are designed to exploit the electrical properties of materials. Learn how protein therapeutics are manufactured and explore the fundamental principles of biopharmaceutical manufacturing. Learn about the optical properties of materials, including how LEDs, lasers, and solar cell devices are designed.
This course provides a practical overview for selecting, implementing, and evaluating educational technology initiatives.
Learn how magnetic devices, such as hard drives and magneto-optical disks, are designed to exploit the magnetic properties of materials. Learn how to manage and harness the dynamics and interactions between firms and entities within a supply chain.
This project-based course explores the process of designing and developing educational games, including issues associated with assessment, implementation and marketing. Master and apply the core methodologies used in supply chain analysis and modeling, including statistics, regression, optimization and probability.
Learn how technology is used in supply chain systems from fundamental concepts to innovative applications. Taught by Eric von Hippel, the founding scholar of user innovation, this course will help you think about what problems you should choose to solve and how to share your innovations with others. Learn how to speed up digital circuits and build amplifiers in the design of microchips used in smartphones, computers, and the Internet. Learn about cool applications, op-amps and filters in the design of microchips used in smartphones, computers, and the internet. Understand how randomized evaluations can be used to evaluate social and development programs.
Learn about entanglement and Bell inequalities, representations and addition of angular momentum, and central potentials. A practical introduction to game design and game design concepts, emphasizing the basic tools of game design: paper and digital prototyping, design iteration, and user testing. Learn to create your own mobile app using HCI principles and discover how people use apps in their daily lives through user feedback and data analysis. Through inspiring examples and stories, discover the power of data and use analytics to provide an edge to your career and your life. Learn how to apply foam models to trabecular bones and osteoporosis as well as to scaffolds for tissue engineering.
Master the calculus of curves and coordinate systems; approximate functions with polynomials and infinite series.
Explore ways to improve job opportunities and develop a personal plan for lifelong career success. Learn about the Heisenberg uncertainty principle, quantum dynamics and two-state systems including applications to NMR and masers.

A course for those who are interested in the challenge posed by massive and persistent world poverty.
Learn fundamental concepts for logistics and supply chain management from both analytical and practical perspectives. Discover the concepts, theories, models, and methods used in the aerodynamic analysis and design of modern aircraft.
An introduction to probabilistic models, including random processes and the basic elements of statistical inference.
This is a college-level Introductory Newtonian Mechanics course designed for both students and teachers. Learn to create your own mobile app using methods from Mobile Human Computer Interaction (HCI). Learn the foundations of quantum mechanics, including wave mechanics, spin one-half states, linear algebra and bra-ket notation of Dirac. Learn how to model the mechanical properties of honeycombs and foams and to apply the models to material selection in engineering design.
This project-based course explores educational technologies and the theories underlying their development through interviews with experts in the field. Learn the business skills and startup mindset needed to embark on your entrepreneurial path from MIT’s entrepreneurship program, MIT Launch.
Fifth part of a course in modern atomic and optical physics: the physics of atomic coherence. Learn the theory and practice of controller design and build an electronic propeller-levitated arm in the Arduino platform. Fourth part of a course in modern atomic and optical physics: the physics of line shapes and two-photon transitions. In this interactive computer science course from MIT you’ll learn the basic principles of computer architecture. Third part of a course in modern atomic and optical physics: the physics of interactions of atoms with an electromagnetic field. Explore materials from the atomic to the continuum level, and apply your learning to mechanics and engineering problems.
Strengthen your scientific thinking and experimental design skills in this adventure through transcription and transposition. Learn about humanity’s rich architectural history on this journey around the globe – from 100,000 BCE to ca.
Using economic theory and data analysis, explore the economic lives of the poor, and the ways to design and implement effective development policy. First part of a course in modern atomic and optical physics: the physics of resonances, a central theme in atomic physics. Learn chemical principles by examining materials with examples from energy generation and storage to emerging technologies.
An in-depth adventure through DNA replication and repair to strengthen your scientific thinking and experimental design skills. Learn from an award-winning master photographer how to create stunning images of science and engineering. An introduction to highlights from the technical side of philosophy--from the higher infinite to Godel's Theorem.
15.662x explores how the next generation workforce can shape the future of work to realize its version of the American Dream. An upper-level undergraduate engineering course that explores the structure and symmetry of materials and the profound effect that structure has on physical properties of materials. The lists have been prepared by the OCW staff as a study aid, and are not official requirements of MITx programs.

MIT has announced a new program that will allow free online students to earn certificates from a program called MITx. The Massachusetts Institute of Technology (MIT) has announced a new program that will expand the university's free online courses and allow would-be students to earn official certificates from a program called MITx. The Internet courses will not only present course materials but will also offer student-to-student communication, interactive features, and online laboratories. So while the announcement of MITx won't diminish the prestige and cachet that goes along with an MIT degree, we are in fact witnessing what promises to be a new level of education certification that may pass muster for many employers looking for the next Mark Zuckerberg-like tech prodigy.
MIT also plans to share expected positive net income (gleaned from the certification fees and other sources) with faculty members who develop courses for the platform. Although initiatives like the Khan Academy are making great headway toward disrupting online education in a way that allows everyone to participate regardless of their economic circumstances, this aggressive new push by MIT is even more significant in that it puts a well-established name in higher education on the front lines of open-source education. To study its complexities, the Department of Brain and Cognitive Sciences at the Massachusetts Institute of Technology combines the experimental technologies of neurobiology, neuroscience, and psychology, with the theoretical power that comes from the fields of computational neuroscience and cognitive science.
To complement these MITx courses, we also provide short lists of related OCW courseware that may be helpful as study aids. It covers all of the topics and learning objectives specified in the College Board Course Description for Advanced Placement® Physics C (Mechanics) course.
Of course the immediate question that will jump to many minds will be: What does this make an MIT degree worth if anyone can start engaging the institution's materials for free? The Department was founded by Hans-Lukas Teuber in 1964 as a Department of Psychology, with the then-radical vision that the study of brain and mind are inseparable. Anyone on the planet with an Internet connection will be able to take the courses, which are slated to begin in the spring of 2012. To that question, MIT has made assurances that the distinction between an official MIT degree and an MITx certification will be significant.
They contain substantially more material than typical OCW courses, blending new content with existing material used in MIT classes. Today, at a time of increasing specialization and fragmentation, our goal remains to understand cognition- its processes, and its mechanisms at the level of molecules, neurons, networks of neurons, and cognitive modules. The primary difference will be the fact that MIT's normal credentialing body won't actually hand out the MITx certifications. In this section we have provided a collection of Engineering courses and resources from across MIT. We are unique among neuroscience and cognitive science departments in our breadth, and in the scope of our ambition. We span a very large range of inquiry into the brain and mind, and our work bridges many different levels of analysis including molecular, cellular, systems, computational and cognitive approaches. Since the field of brain and cognitive sciences is relatively young and extremely dynamic, there is no single text that encompasses the subject matter covered in most of the classes offered by the department. The resources listed below mostly are mostly within the Electrical Engineering and Computer Science and Mechanical Engineering departments. David Wallace, Barry Kudrowitz » Build a Small Radar Dr.
Michael Triantafyllou High School Courses Developed by MIT Students These courses were offered through the High School Studies Program (HSSP), a project of the MIT Educational Studies Program.

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