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ECE314_Syllabus_SP11

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

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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: [email protected]s.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: [email protected] Role: Recitations, homework, quizzes. Office hours: Mondays, 2-3pm, Wednesdays 11-12. TAs: Tamara Sobers, [email protected] Office hours: Thursdays 4:00-5:30pm Kekai Hu,[email protected] 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
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