STAT 391 - Probability and Statistics for Computer Science

Institution:

University of Washington-Seattle Campus

Subject:

Statistics

Description:

Meila Fundamentals of probability and statistics from the perspective of the computer scientist. Random variables, distributions and densities, conditional probability, independence. Maximum likelihood, density estimation, Markov chains, classification. Applications in computer science.

Credits:

4.00

Credit Hours:

Prerequisites:

2.5 in MATH 126; 2.5 in MATH 308; either CSE 326, CSE 373, CSE 417, or CSE 421.

Corequisites:

Exclusions:

Level:

Instructional Type:

Lecture

Notes:

Additional Information:

Historical Version(s):

Institution Website:

www.washington.edu

Phone Number:

(206) 543-2100

Regional Accreditation:

Northwest Commission on Colleges and Universities

Calendar System:

Quarter

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