Massachusetts Institute of Technology is offering free online course on Introduction to Probability. This course requires a level of comfort with mathematical reasoning, familiarity with sequences, limits, infinite series, the chain rule, as well as the ability to work with ordinary or multiple integrals.
The contents of this course are essentially the same as those of the corresponding MIT class (Probabilistic Systems Analysis and Applied Probability). The course will start on January 17, 2017.
Course At A Glance
Length: 18 weeks Effort: 12 hours pw Subject: Data Analysis & Statistics Institution: Massachusetts Institute of Technolog and edx Languages: English Price: Free Certificate Available: Yes, Add a Verified Certificate for $99 Session: Course Starts on January 17, 2017
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About This Course
The world is full of uncertainty: accidents, storms, unruly financial markets, noisy communications. The world is also full of data. Probabilistic modeling and the related field of statistical inference are the keys to analyzing data and making scientifically sound predictions.
Probabilistic models use the language of mathematics. But instead of relying on the traditional “theorem – proof” format, we develop the material in an intuitive — but still rigorous and mathematically precise — manner. Furthermore, while the applications are multiple and evident, we emphasize the basic concepts and methodologies that are universally applicable.
The basic structure and elements of probabilistic models
Random variables, their distributions, means, and variances
Laws of large numbers and their applications
John Tsitsiklis Professor, Department of Electrical Engineering and Computer Science
Patrick Jaillet Professor, Electrical Engineering and Computer Science
Zied Ben Chaouch TA and 6.041x Instructor
Dimitri Bertsekas Professor, Electrical Engineering and Computer Science
Qing He Teaching Assistant
Jimmy Li Teaching Assistant
Jagdish Ramakrishnan Teaching Assistant
Katie Szeto Teaching Assistant
Kuang Xu Teaching Assistant
College-level calculus (single-variable and multivariable). Although this is not a mathematics course, it does rely on the language and some tools from mathematics. It requires a level of comfort with mathematical reasoning, familiarity with sequences, limits, infinite series, the chain rule, as well as the ability to work with ordinary or multiple integrals.
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