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Fee:
Fee may apply
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
| Dates: | April 1 - June 5, 2019 |
| Days: | Mon, Wed, Fri |
| Times: | 10:30 am - 11:50 am |
| Units: | 3.00-5.00 |
| Instructors: | Chris Piech |
| Delivery Option: |
Online
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| For Credit |
$6,300.00
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Provides Stanford University credit that may later be applied towards a graduate degree or certificate. Includes access to online course materials and videos for the duration of the academic quarter. Starting Autumn 2016 there is a $100 fee per course for courses dropped before the drop deadline. Click here for more information about our Registration Policies.
*Note: All amounts shown are in USD |
Notes
Enrollment Dates: February 10 to March 18, 2019Computer 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.
This course may not currently be available to residents of certain states.
