Introduction to Probability
RES.6-012 · Electrical Engineering and Computer Science · Undergraduate · Spring 2018
Prof. John Tsitsiklis, Prof. Patrick Jaillet
<p>The tools of probability theory, and of the related field of statistical inference, are the keys for being able to analyze and make sense of data. These tools underlie important advances in many fields, from the basic sciences to engineering and management.</p> <p>This resource is a companion site to 6.041SC Probabilistic Systems Analysis and Applied Probability. It covers the same content, using videos developed for an edX version of the course.</p>
The syllabus, on MIT OpenCourseWare
The full course — syllabus, assigned readings, problem sets, exams, and lecture notes — lives on OCW. These open the real thing:
Syllabus ↗
Course overview, grading, schedule
Readings ↗
The assigned reading list, session by session
Assignments ↗
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Attribution
Prof. John Tsitsiklis, Prof. Patrick Jaillet. RES.6-012 Introduction to Probability. Spring 2018. Massachusetts Institute of Technology: MIT OpenCourseWare, https://ocw.mit.edu. License: CC BY-NC-SA 4.0.
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