CONTENTS
CHAPTER 1
Graduate Study
CHAPTER 2
Admission and
Registration
CHAPTER 3
Degree
Requirements
CHAPTER 4
Fields
of Study
CHAPTER 5
Members of
Graduate Studies
Committees
APPENDIX
Course
Abbreviations
Statistics
--continued
Graduate Courses
The faculty has approval to offer the following courses in the academic years 2001-2002 and 2002-2003; however, not all courses are taught each semester or summer session. Students should consult the Course Schedule to determine which courses and topics will be offered during a particular semester or summer session. The Course Schedule may also reflect changes made to the course inventory after the publication of this catalog.
Unless otherwise stated below, each course meets for three lecture hours a week for one semester.
Mathematics: M
384C. Mathematical Statistics.
Same as Computational and Applied Mathematics 384R. General theory of mathematical statistics. Hypothesis testing, estimation, decision theory. Prerequisite: Graduate standing, and Mathematics 378K or consent of instructor or the graduate adviser in mathematical statistics.
384D. Mathematical Statistics.
Same as Computational and Applied Mathematics 384S. Continuation of Mathematics 384C. Prerequisite: Graduate standing, consent of instructor, and Computational and Applied Mathematics 384R or Mathematics 384C.
384E. Analysis of Variance.
Analysis of variance, including one- and two-way layouts; components of variance; factorial experiments; balanced incomplete block designs; crossed and nested classifications; fixed, random, and mixed models; split plot designs. Prerequisite: Graduate standing, and Mathematics 378K or the equivalent or consent of instructor.
384F. Design of Experiments.
Design of experiments, including 2n and 3n factorial experiments, confounding, fractional factorials, sequential experimentation, orthogonal arrays, D-optimal experiments, and response surface methodology. Prerequisite: Graduate standing, and Mathematics 378K or the equivalent or consent of instructor.
384G. Regression Analysis.
Fitting linear models to data by the method of least squares, choosing best subsets of predictors, and related materials. Prerequisite: Graduate standing and consent of instructor.
384H. Multivariate Statistical Analysis.
Introduction to the general multivariate linear model; a selection of techniques, such as principle component, factor, and discriminant analysis. Prerequisite: Graduate standing and consent of instructor.
385C. Theory of Probability.
Same as Computational and Applied Mathematics 384K. Prerequisite: Graduate standing and consent of instructor.
385D. Theory of Probability.
Same as Computational and Applied Mathematics 384L. Continuation of Mathematics 385C. Prerequisite: Graduate standing, consent of instructor, and Computational and Applied Mathematics 384K or Mathematics 385C.
394C. Topics in Probability and Statistics.
Same as Computational and Applied Mathematics 394C. Recent topics have included nonparametric statistics, advanced probability. May be repeated for credit when the topics vary. Some topics are offered on the credit/no credit basis only; these are identified in the Course Schedule. Prerequisite: Graduate standing and consent of instructor.
Mathematical Statistics: MST
384J. Frequency Data.
Analysis of data from discrete probability models. Topics include logit and probit regression models and the analysis of complex contingency tables. Prerequisite: Graduate standing, and Mathematics 378K or the equivalent or consent of instructor.
384L. Applied Statistics.
Data analysis and statistical inference. Topics include contingency tables, logistic regression, and generalized linear models. Prerequisite: Graduate standing, and Mathematics 378K or the equivalent or consent of instructor.
384P. Quality Assurance.
Shewhart and cumulative sum control charts, acceptance sampling, off-line quality control; Taguchi methods. Prerequisite: Graduate standing, and Mathematics 378K or the equivalent or consent of instructor.
398R. Master's Report.
Preparation of a report to fulfill the requirement for the master's degree under the report option. The equivalent of three lecture hours a week for one semester. Offered on the credit/no credit basis only. Prerequisite: Graduate standing in statistics and consent of the supervising professor and the graduate adviser.
Graduate Catalog
Contents
Chapter 1 - Graduate Study
Chapter 2 - Admission and Registration
Chapter 3 - Degree Requirements
Chapter 4 - Fields of Study
Chapter 5 - Members of Graduate Studies Committees
Appendix - Course Abbreviations
Related Information
Catalogs
Course Schedules
Academic Calendars
Office of Admissions
Office of the Registrar
University of Texas at Austin
26 July 2001. Registrar's Web Team
Send comments to rgcat@utxdp.dp.utexas.edu