CS-505 Probability and Stochastic Processes I


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Introduction

Axioms of probability; discrete and continuous random vectors; functions of random variables; expectations, moments, characteristic functions, and momentgenerating functions; inequalities, convergence concepts, and limit theorems; central limit theorem; and characterization of simple stochastic processes: widesense stationality and ergodicity.

Teacher

David Pfeffer
ADJUNCT PROFESSOR


Email: dpfeffer@stevens.edu

Education

Bachelors of Science in Computer Science
Stevens Institute of Technology
Hoboken, NJ
Honors; Minor in Law and Public Policy
Masters of Science in Computer Science
Stevens Institute of Technology
Hoboken, NJ
4.0 GPA; Graduate Certificates in Computer Systems, Databases & Service Oriented Architecture, Distributed Systems, Enterprise Computing, Quantitative Software Engineering, Service Oriented Computing
Professional Societies
Member of the IEEE Computer Society and ACM.
Courses
CS 521 TCP/IP Networking
CS 570 Introduction to Programming, Data Structures, and Algorithms
CS 465 Selected Topics in Computer Science
SSW 810 Selected Topics in Systems Centric Software Engineering

文章目錄
  1. 1. Introduction
  2. 2. Teacher
  3. 3. Education
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