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Rice Course Schedule, Spring 2003 Statistics (STAT)
Rice Course Schedule as of 03/03/2003.
This schedule is maintained by the Office of the Registrar
(reg@rice.edu).
See also:
Building Codes
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Registration Information
NOTE: Course web pages are available for some STAT courses.
STAT 100 DATA, MODELS, AND REALITY: AN INTRO TO T Credits 3.00 Spring 03
* DISTRIBUTION COURSE: GROUP III
The formation of models of reality and the ways models are tested by their
analysis in the light of data are considered. We cover a variety of examples
from antiquity to the present time.
001 DH SYM LAB - TTH 01:00PM - 02:20PM Thompson, James R. Enr: 11 Max: 0
STAT 280 ELEMENTARY APPLIED STATISTICS Credits 4.00 Spring 03
* DISTRIBUTION COURSE: GROUP III
* RESTRICTED DISTRIBUTION COURSE: GROUP III
A noncalculus introduction to statistical methods with emphasis on techniques.
Includes computer laboratory.
001 DH 1070 - MWF 01:00PM - 01:50PM Guerra, Rudy Enr: 36 Max: NA
STAT 310 PROBABILITY & STATISTICS Credits 3.00 Spring 03
Probability theory and the central concepts and methods of statistics. Also
offered as Econ 382.
Prereq- Math 102; Math 212 is recommended.
001 SS 106 - TTH 01:00PM - 02:20PM Scott, David W. Enr: 50 Max: NA
STAT 339 STATISTICAL METHODS-PSYCHOLOGY Credits 4.00 Spring 03
Also offered as Psyc 339
001 TBA - TTH 01:00PM - 02:20PM Quinones, Miguel Angel Enr: 2 Max: 15
STAT 410 INTRO STATISTICAL COMPUTING & REGRESSION Credits 3.00 Spring 03
A survey of statistical methods with emphasis on computing and computing
environments, focusing on applied regression and experimental design.
Prereq- Stat 310 or consent of instructor.
001 DH 1046 - TTH 09:25AM - 10:40AM Guerra, Rudy Enr: 20 Max: 0
STAT 422 BAYESIAN DATA ANALYSIS Credits 3.00 Spring 03
This course will cover Bayesian methods for analyzing data. The emphasis will
be on applied data analysis rather than theoretical development. We will
consider a variety of models, including linear regression, hierarchical models,
and models for categorical data.
Prereq - Stat 310 or permission of instructor.
001 DH 1042 - TTH 02:30PM - 03:50PM Rosner, Gary Enr: 10 Max: 0
STAT 432 MATHEMATICAL STATISTICS II Credits 3.00 Spring 03
Continuation of STAT 431.
Prereq- Stat 431 or permission of instructor
001 TBA - TTH 01:00PM - 02:20PM Cox, Dennis D. Enr: 2 Max: 0
STAT 450 PRACTICUM IN STATISTICAL MODELING Credits 2.00 Spring 03
This course introduces current theoretical and applied problems encountered in
statistical practice. The content changes each semester in response to
contemporary topics.
Prereq- Stat 310 or 305 and one of 410, 421, 422, or 431 required.
001 KH 107 - WF 11:00AM - 12:00PM Baggett, Larry Scott Enr: 2 Max: 0
STAT 486 INTRODUCTION TO STOCHASTIC MARKET MODELS Credits 3.00 Spring 03
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.
Prereq- Stat 305, 310 or near equivalent.
001 SH 560 - TTH 10:50AM - 12:05PM Thompson, James R. Enr: 5 Max: 0
STAT 491 INDEPENDENT STUDY Credits Spring 03
No description
001 TBA - TBA Staff Enr: 0 Max: 0
STAT 503 TOPICS IN METH & DATA ANALYSIS Credits 3.00 Spring 03
See Poli 503 schedule.
001 TBA - F 01:30PM - 04:30PM Stevenson, Randolph T. Enr: 0 Max: 0
STAT 510 ADV PSYCHOLOGICAL STATISTICSII Credits 3.00 Spring 03
See Psyc 503 for schedule.
001 SH 562 - TTH 01:00PM - 02:20PM Lane, David M. Enr: 1 Max: 0
STAT 532 MATHEMATICAL STATISTICS II Credits 3.00 Spring 03
Continuation of Stat 531. Required for gradutate students in Statistics.
Pre-req Stat 531 or permission of instructor.
001 DH 1075 - TTH 01:00PM - 02:20PM Cox, Dennis D. Enr: 10 Max: 0
STAT 540 PRACTICUM IN STATISTICAL MODELING Credits 3.00 Spring 03
This course introduces current theoretical and applied problems encountered in
statistical practice. The content changes each semester in response to
contemporary topics.
Designed for graduate students in statistics.
Prereq- Stat 531 or consent of instructor.
001 KH 107 - WF 11:00AM - 12:00PM Baggett, Larry Scott Enr: 3 Max: 0
STAT 541 MULTIVARIATE ANALYSIS Credits 3.00 Spring 03
Study of multivariate normal theory, principal components, factor analysis,
discrimination, and hypothesis testing.
Prereq- Stat 431 or permission of instructor.
001 SH 207B - TTH 09:25AM - 10:40AM Boeckenhauer, Rachel Enr: 16 Max: 0
STAT 551 ADVANCED TOPICS IN TIME SERIES Credits 3.00 Spring 03
The course will cover current topics in both modeling and forecasting discrete
and continuous time series. A brief coverage will also be given to spatial and
spatial-temporal processes. Emphasis will be placed on applications in the area
of computational finance.
Prereq- STAT 531, 421, or permission of instructor.
001 TBA - MW 02:00PM - 03:20PM Ensor, Katherine Enr: 5 Max: NA
STAT 582 MATHEMATICAL PROBABILITY II Credits 3.00 Spring 03
Continuation of Stat 581.
001 DH 1046 - MWF 10:00AM - 10:50AM Olofsson, Peter Enr: 11 Max: 0
STAT 591 INDEPENDENT STUDY Credits Spring 03
No description
Prereq- permission of instructor.
001 TBA - TBA Staff Enr: 12 Max: 0
STAT 600 GRADUATE SEMINAR IN STATISTICS Credits Spring 03
No description
001 KH 107 - M 11:00AM - 11:50AM Guerra, Rudy Enr: 12 Max: NA
STAT 610 ECONOMETRICS I Credits 5.00 Spring 03
See Econ 510 for schedule.
001 BB 271 - TTH 02:10PM - 03:25PM El-Gamal, Mahmoud A. Enr: 2 Max: 0
STAT 650 NONPARAMETRIC BAYESIAN DATA ANALYSIS Credits 3.00 Spring 03
The course reviews the current state of nonparametric Bayesian inference
problems, including density estimation, regression, survival analysis,
hierarchical models and model validation.
Prereq- STAT 531, 420, or permission of instructor.
001 DH 1075 - TTH 04:00PM - 05:20PM Mueller, Peter Enr: 9 Max: NA
STAT 655 STATISTICAL METHODS IN BIOINFORMATICS Credits 3.00 Spring 03
Topics will include but are not limited to micro arrays, molecular evolution
and stochastic processes for genomics.
Prereq- Permission of instructor
001 DH 1075 - TWTH 08:30AM - 09:20AM Kimmel, Marek Enr: 17 Max: NA
STAT 800 THESIS Credits Spring 03
NO DESCRIPTION
001 TBA - TBA Staff Enr: 9 Max: NA
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