Introduction to Probability for Computer Scientists

CS109

Stanford School of Engineering

  • Fee:
    Fee may apply

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Description

Examine the application of probability in the computer science field and how it is used in the analysis of algorithms. Learn how probability theory has become a powerful computing tool and what current trends are causing the need for probabilistic analysis. Acquire an important understanding about randomness and its influence on the computing decisions made every day.

Instructor(s)

Prerequisites

CS103 and CS106B or CS106X, multivariate calculus at the level of CME100 or MATH51 or equivalent.

Topics include

  • Counting and combinatorics
  • Conditional probability and independence
  • Discrete, normal, conditional and beta distributions
  • Point estimation
  • Limit theorems

Note on Course Availability

The course schedule is displayed for planning purposes – courses can be modified, changed, or cancelled. Course availability will be considered finalized on the first day of open enrollment. For quarterly enrollment dates, please refer to our graduate certificate homepage.

Faculty Spotlight

Professor Mehran Sahami

 

020 Summer 2017-18 Online

Enroll Now

Dates:June 25 - August 15, 2018
Days: Mon, Wed, Fri
Times:1:30 pm - 3:20 pm
Units: 3.00-5.00
Instructors: Lisa Yan
Delivery Option:
Online
Fees:
For Credit $6,300.00 ?

Notes

Enrollment Dates: April 8 to June 18, 2018

Computer Science Department Requirement
Students taking graduate courses in Computer Science must enroll for the maximum number of units and maintain a B or better in each course in order to continue taking courses under the Non Degree Option.