Online courses directory (19947)

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A hands-on, project-based training to help you quickly learn predictive modeling skills through real-world project work.

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A fully integrated TOEFL iBT Reading Comprehension focusing on strategies, tactics, guided video lessons and live class

Aprenda los diferentes recursos para improvisar y comenzar a crear música con la guitarra, todo visto desde el Jazz

An intermediate course on how to build a single HTML5 resume page based on the 960 grid system

Get a job in UX and improve your web site's UI design with this in-depth, hands-on user experience training course.

Go from novice to expert in the field of fitness! Each video will show you what to do!

This course will provide a generally non-technical introduction to learning analytics and how they are being deployed in various contexts in the education field. Additionally, the tools and methods, ethics and privacy, and systemic impact of analytics will be explored, presenting a broad overview of the current state and possible future directions of the field. Capturing and analyzing data has changed how decisions are made and resources are allocated in the fields of business, journalism, government, military, and intelligence. Through better use of data, leaders are able to plan and enact strategies with greater clarity and confidence. Data is a value point that drives increased organizational efficiency and a competitive advantage. Analytics provide new insight and actionable intelligence. Companies such as Microsoft, IBM, Google, and Amazon are investing heavily in technologies and techniques to help individuals and organizations make sense of and unlock the value within big data. In education, the use of data and analytics to improve learning is referred to as learning analytics. Software companies, researchers, educators, and university leaders are starting to recognize the value of data in improving not only teaching and learning, but the entire education industry. The growth of online learning and open online courses generates new sources of data for researchers and educators to better understand the learning experience.

This subject describes and illustrates computational approaches to solving problems in systems biology. A series of case-studies will be explored that demonstrate how an effective match between the statement of a biological problem and the selection of an appropriate algorithm or computational technique can lead to fundamental advances. The subject will cover several discrete and numerical algorithms used in simulation, feature extraction, and optimization for molecular, network, and systems models in biology.

This course examines the major aesthetic, social, and political elements which have shaped modern Japanese culture and society. There are readings on contemporary Japan and historical evolution of the culture are coordinated with study of literary texts, film, and art, along with an analysis of everyday life and leisure activities.

This class assesses current and potential future energy systems, covering resources, extraction, conversion, and end-use technologies, with emphasis on meeting regional and global energy needs in the 21st century in a sustainable manner. Instructors and guest lecturers will examine various renewable and conventional energy production technologies, energy end-use practices and alternatives, and consumption practices in different countries. Students will learn a quantitative framework to aid in evaluation and analysis of energy technology system proposals in the context of engineering, political, social, economic, and environmental goals. Students taking the graduate version, Sustainable Energy, complete additional assignments.

This course covers elementary statistical mechanics, transport properties, kinetic theory, solid state, reaction rate theory, and chemical reaction dynamics.

Acknowledgements

The staff for this course would like to acknowledge that these course materials include contributions from past instructors, textbooks, and other members of the MIT Chemistry Department affiliated with course #5.62. Since the following works have evolved over a period of many years, no single source can be attributed.

An introduction to the principles of tomographic imaging and its applications. It includes a series of lectures with a parallel set of recitations that provide demonstrations of basic principles. Both ionizing and non-ionizing radiation are covered, including x-ray, PET, MRI, and ultrasound. Emphasis on the physics and engineering of image formation.

This is a communication intensive supplement to Linear Algebra (18.06). The main emphasis is on the methods of creating rigorous and elegant proofs and presenting them clearly in writing. The course starts with the standard linear algebra syllabus and eventually develops the techniques to approach a more advanced topic: abstract root systems in a Euclidean space.

This course focuses on recent developments in econometrics, especially structural estimation. The topics include nonseparable models, models of imperfect competition, auction models, duration models, and nonlinear panel data. Results are illustrated with economic applications.

This course features a rigorous introduction to modern cryptography, with an emphasis on the fundamental cryptographic primitives of public-key encryption, digital signatures, pseudo-random number generation, and basic protocols and their computational complexity requirements.

This class surveys developmental entrepreneurship via case examples of both successful and failed businesses and generally grapples with deploying and diffusing products and services through entrepreneurial action. By drawing on live and historical cases, especially from South Asia, Africa, Latin America as well as Eastern Europe, China, and other developing regions, we seek to cover the broad spectrum of challenges and opportunities facing developmental entrepreneurs. Finally, we explore a range of established and emerging business models as well as new business opportunities enabled by developmental technologies developed in MIT labs and beyond.

You can build a wide range of practical electronic devices if you understand a few basic electronics concepts and follow some simple rules. These devices include light-activated and sound-activated toys and appliances, remote controls, timers and clocks, and motorized devices.

The subject begins with an overview of the fundamental concepts, followed by a series of laboratory exercises that demonstrate the basic rules, and a final project.

This course covers Lagrangian and Hamiltonian mechanics, systems with constraints, rigid body dynamics, vibrations, central forces, Hamilton-Jacobi theory, action-angle variables, perturbation theory, and continuous systems. It provides an introduction to ideal and viscous fluid mechanics, including turbulence, as well as an introduction to nonlinear dynamics, including chaos.