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Registrar

Rice Course Schedule, Spring 2000
Statistics (STAT)

Rice Course Schedule as of 01/03/2000. This schedule is maintained by the Office of the Registrar (reg@rice.edu).

NOTE: Course web pages are available for some STAT courses.



STAT 280   ELEMENTARY APPLIED STATISTICS            Credits 4.00  Spring 00
* RESTRICTED DISTRIBUTION COURSE: GROUP III
A noncalculus introduction to statistical methods with emphasis on techniques.
Includes computer laboratory.
001 TBA                                 Staff                     Enr: 0 Max: NA

STAT 300   MODEL BUILDING                           Credits 3.00  Spring 00
* DISTRIBUTION COURSE: GROUP III
Examples to illustrate mathematical formulation (modeling) of scientific
problems, their solution and interpretation.
Prereq- Math 211 or consent of instructor.
001 TBA - TTH 09:25AM - 10:40AM         Kimmel, Marek             Enr: 0 Max: NA

STAT 305   INTRODUCTION TO STATISTICS FOR BIOSCIENC Credits 4.00  Spring 00
* DISTRIBUTION COURSE: GROUP III
An introduction to statistics for Biosciences with emphasis on statistical
models and data analysis techniques.  Computer-assisted data analysis,
including biological examples, is explored in laboratory sessions.
Prereq- Math 101, 102.
001 TBA                                 Staff                     Enr: 0 Max: NA

STAT 310   PROBABILITY & STATISTICS                 Credits 3.00  Spring 00
Probability theory and the central concepts and methods of statistics.
Prereq- Math 102; Math 212 is recommended.
Also offered as ECON 382
001 TBA                                 Staff                     Enr: 0 Max: NA

STAT 381   INTRO APPLIED PROBABILITY                Credits 3.00  Spring 00
Concepts, interpretations, elementary techniques, and applications of modern
probability theory.
Prereq- Math 102.
Also offered as CAAM 381
001 TBA                                 Olofsson, Peter           Enr: 0 Max: NA

STAT 410   INTRO STATISTICAL COMPUTING & REGRESSION Credits 3.00  Spring 00
A survey of statistical methods with emphasis on computing and computing
environments, focusing on applied regression.
Prereq- Stat 310 or consent of instructor.
001 TBA                                 Staff                     Enr: 0 Max: NA

STAT 421   INTRO-TIME SERIES ANALYSIS               Credits 3.00  Spring 00
Time series modeling and forecasting.
Prereq- Stat 310 or consent of instructor.
Also offered as ELEC 432
001 TBA - TTH 10:50AM - 12:05PM         Ensor, Katherine          Enr: 0 Max: NA

STAT 432   INTRO MATHEMATICAL STAT II               Credits 3.00  Spring 00
This course covers the foundations of statistical inference.  Theory of point
estimation; Set estimation; Hypothesis testing; Linear models; Asymptotics;
Decision theory; Bayesian Theory.
Prereq- Stat 431.
001 TBA                                 Staff                     Enr: 0 Max: NA

STAT 450   PRACTICUM IN STATISTICAL MODELING        Credits 3.00  Spring 00
Prereq- Stat 310 and one of 305 or 410,421, 431, or 432 required.
001 TBA - MW 09:00AM - 09:50AM          Baggett, Larry Scott      Enr: 0 Max: NA

STAT 486   MARKET MODULS                            Credits 3.00  Spring 00
This course takes the classical efficient market models and superimposes upon
it models for other stochastic phenomena not generally accounted for in
efficient market theory. It shows how risk can be lessened by portfolios and
other mechanism. It discusses reasons why the Black-Scholes option pricing
model (which won the 1997 Nobel Prize in  Economics) is fragile to departures
from efficient market theory. The course is oriented toward using computer
simulations as an alternative to closed form solutions. Requirements: STAT 305,
310 or near equivalent.
Prereq- linear algebra and Stat 481.
001 TBA - TTH 10:50AM - 12:05PM         Thompson, James R.        Enr: 0 Max: NA

STAT 491   INDEPENDENT STUDY                        Credits   Spring 00
No description
001 TBA                                 Staff                     Enr: 0 Max: NA

STAT 503   TOPICS IN METH & DATA ANALYSIS           Credits   Spring 00
See Poli 503 schedule.
Also offered as POLI 503
001 TBA                                 Brace, Paul R.            Enr: 0 Max: NA

STAT 510   ADV PSYCHOLOGICAL STATISTICSII           Credits 3.00  Spring 00
See Psyc 503 for schedule.
Also offered as PSYC 503
001 TBA                                 Lane, David M.            Enr: 0 Max: NA

STAT 532   MATHEMATICAL STATISTICS                  Credits 3.00  Spring 00
Same as Stat 432 with advanced problem sets.  Required for graduate students in
statistics.
Prereq- Stat 531.
001 TBA                                 Staff                     Enr: 0 Max: NA

STAT 541   MULTIVARIATE ANALYSIS                    Credits 3.00  Spring 00
Study of multivariate normal theory, principal components, factor analysis,
discrimination, and hypothesis testing.
Prereq- Stat 431 or permission of instructor.
001 TBA                                 Staff                     Enr: 0 Max: NA

STAT 542   SIMULATION                               Credits 3.00  Spring 00
No description
Prereq- Stat 431 or consent of instructor.  Not offered every year.
001 TBA - TTH 02:30PM - 03:50PM         Thompson, James R.        Enr: 0 Max: NA

STAT 546   DESIGN & ANALYSIS OF EXPERIMENTS         Credits 3.00  Spring 00
Given a response Y, which is affected by some predictor variables X, we would
like to estimate the effects in as unequivocal a manner as possible.
Experimental design addresses the question of how to allocate a finite amount
of resources (experimental runs) so as to resolve the effects of each input as
quickly as possible.
Prereq- Stat 531 or 431.
001 TBA                                 TBA                       Enr: 0 Max:

STAT 553   SURVIVAL ANALYSIS                        Credits 3.00  Spring 00
Non-parametric method with medical applications.
Prereq- Stat 431 or consent of instructor.
001 TBA                                 Staff                     Enr: 0 Max: NA

STAT 557   BAYESIAN FOUNDATIONS OF STATISTICAL INFE Credits 3.00  Spring 00
The basic theory and philosophy of the Bayesian approach to Statistics will be
presented along with some comparison with other approaches.  Much of the course
will be spent on specific applications with an emphasis on recent developments
in computational methods.
Prereq- Stat 431/531 or permission of instructor.
001 TBA                                 Staff                     Enr: 0 Max: NA

STAT 582   MATHEMATICAL PROBABILITY II              Credits   Spring 00
Continuation of Stat 581.
Also offered as CAAM 582
001 TBA                                 Olofsson, Peter           Enr: 0 Max: NA

STAT 586   SPECTRAL ANALYSIS                        Credits 3.00  Spring 00
No description
Also offered as ELEC 532
001 TBA                                 Staff                     Enr: 0 Max: NA

STAT 591   INDEPENDENT STUDY                        Credits   Spring 00
No description
Prereq- permission of instructor.
001 TBA                                 Staff                     Enr: 0 Max: NA

STAT 600   GRADUATE SEMINAR IN STATISTICS           Credits   Spring 00
No description
001 TBA                                 Baggerly, Keith Alan      Enr: 0 Max: NA

STAT 610   ECONOMETRICS I                           Credits 5.00  Spring 00
See Econ 510 for schedule.
Also offered as ECON 510
001 TBA - TTH 02:10PM - 03:25PM         Brown, Bryan W.           Enr: 0 Max: NA

STAT 681   BRANCHING PROCESSING                     Credits 3.00  Spring 00
No description
001 TBA - TTH 01:00PM - 02:20PM         Kimmel, Marek             Enr: 0 Max: NA

STAT 682   CLUSTERING AND DISCRIMINATION            Credits 3.00  Spring 00
No description
001 TBA                                 TBA                       Enr: 0 Max:

STAT 684   LINEAR MODELS & CATEGORICAL DATA ANALYSI Credits 3.00  Spring 00
No description
001 TBA                                 Staff                     Enr: 0 Max: NA

STAT 685   SPATIAL STATISTICS                       Credits 3.00  Spring 00
No description
001 TBA                                 TBA                       Enr: 0 Max:

STAT 686   INTRO TO THEORY OF SEMIGROUPS OF LINEAR  Credits 3.00  Spring 00
Generation, representation, perturbation and approximation theorems.  Emphasis
will be placed on connections with Markov processes and differential equations
in Banach spaces.
001 TBA                                 TBA                       Enr: 0 Max:

STAT 800   THESIS                                   Credits   Spring 00
No description
001 TBA                                 Staff                     Enr: 0 Max: NA
Span 308   The Language of Medicine and Health      Credits   Spring 00
Internship
002 TBA                                 Albin, Veronica S.        Enr: 0 Max: 25



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