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Title : 6.041SC Probabilistic Systems Analysis and Applied Probability (MIT)

Title : 6.041SC Probabilistic Systems Analysis and Applied Probability (MIT)

Description : Includes audio/video content: AV lectures. This course introduces students to the modeling, quantification, and analysis of uncertainty.  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.

Description : Includes audio/video content: AV lectures. This course introduces students to the modeling, quantification, and analysis of uncertainty.  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.

Fromsemester : Fall

Fromsemester : Fall

Fromyear : 2013

Fromyear : 2013

Creator :

Creator :

Date : 2014-02-26T16:05:07+05:00

Date : 2014-02-26T16:05:07+05:00

Relation : 6.041SC

Relation : 6.041SC

Language : en-US

Language : en-US

Subject : probability

Subject : probability

Subject : probability models

Subject : probability models

Subject : bayes rule

Subject : bayes rule

Subject : discrete random variables

Subject : discrete random variables

Subject : continuous random variables

Subject : continuous random variables

Subject : bernoulli process

Subject : bernoulli process

Subject : poisson process

Subject : poisson process

Subject : markov chains

Subject : markov chains

Subject : central limit theorem

Subject : central limit theorem

Subject : statistical inference

Subject : statistical inference