AMS132: Classical and Bayesian Inference

*****COURSES ARE SUBJECT TO CHANGE*****

Introduction to statistical inference at a calculus-based level: maximum likelihood estimation, sufficient statistics, distributions of estimators, confidence intervals, hypothesis testing, and Bayesian inference. Students cannot receive credit for this course and course 206. Prerequisite(s): course 131 or Computer Engineering 107. (General Education Code(s): SR - Statistical Reasoning) A. Kottas, A. Rodriguez

5 Credits

Year	Fall	Winter
2017-18		Section 01 Staff
2016-17		Section 01 David Draper (draper) Section 50 David Draper (draper)
2015-16		Section 01 Rajarshi Guhaniyogi (rguhaniy) Section 50 Rajarshi Guhaniyogi (rguhaniy)
2014-15		Section 01 Athanasios Kottas (thanos) Section 50 Athanasios Kottas (thanos)
2013-14		Section 01 David Draper (draper) Section 50 David Draper (draper)
2012-13		Section 01 Athanasios Kottas (thanos)
2011-12		Section 01 Lelys Bravo De Guenni (lbravode)
2010-11	Section 01 Abel Rodriguez (abel.rod)
2009-10	Section 01 Athanasios Kottas (thanos)
2008-09	Section 01 Abel Rodriguez (abel.rod)
2007-08	Section 01 Abel Rodriguez (abel.rod)

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