ECE314_Syllabus_SP11

ECE314_Syllabus_SP11 - Gaussian r.v.'s. Parameter...

Info iconThis preview shows pages 1–2. Sign up to view the full content.

View Full Document Right Arrow Icon
Department of Electrical and Computer Engineering University of Massachusetts, Amherst ECE 314: Introduction to Probability and Random Processes Spring 2011 Course Webiste: Course offered on SPARK. Instructors: Prof. Hossein Pishro-Nik 215I Marcus Hall Phone: (413)577-0834 Email: pishro@ecs.umass.edu Role: Lectures, exams. Office hours: Wednesdays 11:15pm-12pm, 1:30pm - 2:15pm. Prof. Dennis Goeckel 215F Marcus Hall Phone: (413) 545 – 3514 Email: goeckel@ecs.umass.edu Role: Recitations, homework, quizzes. Office hours: Mondays, 2-3pm, Wednesdays 11-12. TAs: Tamara Sobers, tsobers@engin.umass.edu Office hours: Thursdays 4:00-5:30pm Kekai Hu,khu@ecs.umass.edu Office hours: Tuesdays 4:00-5:30pm Catalog Data: Probability space, conditional probability, Bayes theorem. Combinatorial analysis. Random variables (r.v.'s), distribution and density functions. Expected value, moments, characteristic function. Function of r.v.'s, Multiple r.v.'s, conditional distributions, independent r.v.'s. Multivariate
Background image of page 1

Info iconThis preview has intentionally blurred sections. Sign up to view the full version.

View Full DocumentRight Arrow Icon
Background image of page 2
This is the end of the preview. Sign up to access the rest of the document.

Unformatted text preview: Gaussian r.v.'s. Parameter estimation, confidence intervals, hypothesis testing. Introduction to random processes: mean, autocorrelation, power spectral density. Prerequisite: E&C-ENG 313. Prerequisites: Undergraduate courses in linear systems (such as ECE 313) Textbook : Probability and stochastic processes by Roy D. Yates, and David J. Goodman. ISBN: 0-471-27214, (recommended). Grades: Homework -10% Quizzes 10% Midterm Exam 1- 25% Midterm Exam 2 25% Final Exam 30% Topics covered: A. Probability 1. Experiments, Models, and Probabilities 2. Discrete Random Variables 3. Continuous Random Variables 4. Pairs of Random variables 5. Random Vectors 6. Sum of Random Variables B. Statistics 1. Parameter Estmination 2. Hypothesis Testing 3. Estimation of Random Variables C. Stochastic Processes 1. Introduction to stochastic processes...
View Full Document

This note was uploaded on 10/27/2011 for the course ECE 314 taught by Professor Idk during the Spring '07 term at UMass (Amherst).

Page1 / 2

ECE314_Syllabus_SP11 - Gaussian r.v.'s. Parameter...

This preview shows document pages 1 - 2. Sign up to view the full document.

View Full Document Right Arrow Icon
Ask a homework question - tutors are online