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Course Offerings

Course Evaluation Results

Course Details

Fall 2017-2018
ELE 525   Graded A-F, P/D/F, Audit

Random Processes in Information Systems

Sergio Verdú

Fundamentals of probability and random processes relevant to information sciences and systems: radon-nikodym derivatives lebesgue integrals; laws of large numbers, central limit theorems, large deviations, marron chains, poisson point processes, measure concentration.

Sample reading list:
H. Kobayashi, B.L. Mark & W. Turin, Probability, Random Processes and Statistical Analysis
G.R. Grimmet & D.R Stirzaker, Probability and Random Processes
Chung, K.L., A Course in Probability Theory

Mid Term Exam - 25%
Final Exam - 40%
Other (See Instructor) - 35%

Other Requirements:
Not Open to Freshmen.

Prerequisites and Restrictions:
Students taking this course should have a prior course in applied probability at the undergraduate level..


Schedule/Classroom assignment:

Class numberSectionTimeDaysRoomEnrollmentStatus
23414 L01 11:00:00 am - 12:20:00 pm M W   Friend Center   110   Enrolled:4 Limit:25