The Non-degree in Computational Probability and Inference at
Massachusetts Institute of Technology
is a
program for international students,
taught in English.
The Non-degree in Computational Probability and Inference at
Massachusetts Institute of Technology
is a
program for international students,
taught in English.
📖Introduction
Massachusetts Institute of Technology (MIT) is a private research university located in Cambridge, Massachusetts, United States. Established in 1861, MIT is devoted to the advancement of knowledge and education in science, technology, and other areas of scholarship that will best serve the nation and the world in the 21st century.
MIT is known for its strong emphasis on research and innovation, as well as its commitment to solving real-world problems through interdisciplinary collaboration. Its main campus spans over 160 acres and is home to five schools and one college, including the School of Architecture and Planning, the School of Engineering, the School of Humanities, Arts, and Social Sciences, the Sloan School of Management, the School of Science, and the MIT Schwarzman College of Computing.
Probability and inference are used everywhere. For example, they help us figure out which of your emails are spam, what results to show you when you search on Google, how a self-driving car should navigate its environment, or even how a computer can beat the best Jeopardy and Go players! What do all of these examples have in common? They are all situations in which a computer program can carry out inferences in the face of uncertainty at a speed and accuracy that far exceed what we could do in our heads or on a piece of paper. In this data analysis and computer programming course, you will learn the principles of probability and inference. We will put these mathematical concepts to work in code that solves problems people care about. You will learn about different data structures for storing probability distributions, such as probabilistic graphical models, and build efficient algorithms for reasoning with these data structures. By the end of this course, you will know how to model real-world problems with probability, and how to use the resulting models for inference.
The MIT community is driven by a shared purpose: to make a better world through education, research, and innovation. Founded to accelerate the nation’s industrial revolution, MIT is profoundly American. With ingenuity and drive, our graduates have invented fundamental technologies, launched new industries, and created millions of American jobs. At the same time, and without the slightest sense of contradiction, MIT is profoundly global. Our community gains tremendous strength as a magnet for talent from around the world. Through teaching, research, and innovation, MIT’s exceptional community pursues its mission of service to the nation and the world. The mission of MIT is to advance knowledge and educate students in science, technology, and other areas of scholarship that will best serve the nation and the world in the 21st century. The Institute is committed to generating, disseminating, and preserving knowledge, and to working with others to bring this knowledge to bear on the world’s great challenges. MIT is dedicated to providing its students with an education that combines rigorous academic study and the excitement of discovery with the support and intellectual stimulation of a diverse campus community. We seek to develop in each member of the MIT community the ability and passion to work wisely, creatively, and effectively for the betterment of humankind.
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