Free Online Course on Introduction to Probability

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

Providers’ Details

Massachusetts Institute of Technology — a coeducational, privately endowed research university founded in 1861 — is dedicated to advancing knowledge and educating students in science, technology, and other areas of scholarship that will best serve the nation and the world in the 21st century. Learn more about MIT. Through MITx, the Institute furthers its commitment to improving education worldwide.

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.

Learning Outcomes

  • The basic structure and elements of probabilistic models
  • Random variables, their distributions, means, and variances
  • Probabilistic calculations
  • Inference methods
  • Laws of large numbers and their applications
  • Random processes

Instructors            

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

Requirements

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.

How To Join This Course

  • Go to the course website link
  • Create an edX account to SignUp
  • Choose “Register Now” to get started.
  • EdX offers honor code certificates of achievement, verified certificates of achievement, and XSeries certificates of achievement. Currently, verified certificates are only available in some courses.
  • Once applicant sign up for a course and activate their account, click on the Log In button on the edx.org homepage and type in their email address and edX password. This will take them to the dashboard, with access to each of their active courses. (Before a course begins, it will be listed on their dashboard but will not yet have a “view course” option.)
Free Online Course on Introduction to Probability Free Online Course on Introduction to Probability Reviewed by Publisher on 11:14:00 PM Rating: 5

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