STAT 430

Spring 2014 All Classes

All Classes

Topics in Applied Statistics

Credit: 3 OR 4 hours.

Formulation and analysis of mathematical models for random phenomena; extensive involvement with the analysis of real data; and instruction in statistical and computing techniques as needed.

Same as MATH 468. 3 undergraduate hours. 4 graduate hours. May be repeated with approval. prerequisite: STAT 410 or STAT 420; or consent of instructor.

My Favorites

My Schedule

Section Status updates every 10 minutes.

STAT 430 class schedule data for spring 2014
CRN	Type	Section	Time	Day	Location	Instructor	Section Details
60247	Lecture-Discussion	M1G	12:00PM -12:50PM	MWF	161 Noyes Laboratory	Park, T	Part of Term: 1 Date Range: 01/21/14-05/07/14 Credit: 4 hours Section Title: Applied Bayesian Analysis Section Info: Introduction to the concepts and methodology of Bayesian statistics, for students with fundamental knowledge of mathematical statistics. Topics include Bayes' rule, prior and posterior distributions, conjugacy, Bayesian point estimates and intervals, Bayesian hypothesis testing, noninformative priors, practical Markov Chain Monte Carlo, hierarchical models and model graphs, and more advanced topics as time permits. Implementations in R and OpenBUGS. Prerequisites: STAT 410 and knowledge of R. Restricted to students majoring in Statistics or Statistics & Computer Science until November 25, 2013. Restriction(s): Restricted to Graduate - Urbana-Champaign.
60249	Lecture-Discussion	M1U	12:00PM -12:50PM	MWF	161 Noyes Laboratory	Park, T	Part of Term: 1 Date Range: 01/21/14-05/07/14 Credit: 3 hours Section Title: Applied Bayesian Analysis Section Info: Introduction to the concepts and methodology of Bayesian statistics, for students with fundamental knowledge of mathematical statistics. Topics include Bayes' rule, prior and posterior distributions, conjugacy, Bayesian point estimates and intervals, Bayesian hypothesis testing, noninformative priors, practical Markov Chain Monte Carlo, hierarchical models and model graphs, and more advanced topics as time permits. Implementations in R and OpenBUGS. Prerequisites: STAT 410 and knowledge of R. Restricted to students majoring in Statistics or Statistics & Computer Science until November 25, 2013. Restriction(s): Restricted to Undergrad - Urbana-Champaign.
36200	Lecture-Discussion	S1G	1:00PM -1:50PM	MWF	G27 Foreign Languages Building	Glosemeyer, D	Part of Term: 1 Date Range: 01/21/14-05/07/14 Credit: 4 hours Section Title: Professional Statistics Skills Section Info: This project-based course emphasizes written, visual, and oral communication of statistical results and conclusions. An introduction to statistical consulting is also provided. Additional topics may include introductions to statistical methodologies in industry and aspects of careers in statistics. Prerequisite: STAT 420. Restricted to students majoring in Statistics or Statistics & Computer Science until November 25, 2013. Restriction(s): Restricted to Graduate - Urbana-Champaign.
36199	Lecture-Discussion	S1U	1:00PM -1:50PM	MWF	G27 Foreign Languages Building	Glosemeyer, D	Part of Term: 1 Date Range: 01/21/14-05/07/14 Credit: 3 hours Section Title: Professional Statistics Skills Section Info: This project-based course emphasizes written, visual, and oral communication of statistical results and conclusions. An introduction to statistical consulting is also provided. Additional topics may include introductions to statistical methodologies in industry and aspects of careers in statistics. Prerequisite: STAT 420. Restricted to students majoring in Statistics or Statistics & Computer Science until November 25, 2013. Restriction(s): Restricted to Undergrad - Urbana-Champaign.