CSE 261 - Discrete Probability,Stochastic Processes,and Statistical Inference

Institution:

University of Pennsylvania

Subject:

Description:

Prerequisite(s): CSE 260 or equivalent. This course tightly integrates the theory and applications of discrete probability, discrete stochastic processes, and discrete statistical inference in the study of computer science. The course will introduce the Minimum Description Length Paradigm to unite basic ideas about randomness, inference and computation. Students will be expected to use the Maple programming environment in homework exercises which will include numerical and symbolic computations, simulations, and graphical displays.

Credits:

3.00

Credit Hours:

Prerequisites:

Corequisites:

Exclusions:

Level:

Instructional Type:

Lecture

Notes:

Additional Information:

Historical Version(s):

Institution Website:

www.upenn.edu

Phone Number:

(215) 898-5000

Regional Accreditation:

Middle States Association of Colleges and Schools

Calendar System:

Semester

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