Back to Contents

Course Schedules
More Course Info
Registrar

Rice Course Schedule, Spring 2001
Statistics (STAT)

Rice Course Schedule as of 05/08/2001. This schedule is maintained by the Office of the Registrar (reg@rice.edu).

See also: Building Codes | 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 01
* 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.
* THE CLASS WILL BE HELD IN SYMONDS I
COMPUTING LAB ON THE SECOND FLOOR OF THE LIBRARY.
001 TBA - TTH 01:00PM - 02:20PM         Thompson, James R.        Enr: 3 Max: NA

STAT 280   ELEMENTARY APPLIED STATISTICS            Credits 4.00  Spring 01
* 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     Diaz-Saiz, Joaquin        Enr: 36 Max: NA

STAT 300   MODEL BUILDING                           Credits 3.00  Spring 01
* 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 HB 22 - TTH 09:25AM - 10:40AM       Wosniak, Werner           Enr: 10 Max: NA

STAT 305   INTRODUCTION TO STATISTICS FOR BIOSCIENC Credits 4.00  Spring 01
* 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 DH 1070 - MWF 09:00AM - 09:50AM     Cox, Dennis D.            Enr: 30 Max: NA

STAT 310   PROBABILITY & STATISTICS                 Credits 3.00  Spring 01
Probability theory and the central concepts and methods of statistics. Also
offered as Econ 382.
Prereq- Math 102; Math 212 is recommended.
001 DH 1064 - TTH 01:00PM - 02:20PM     Scott, David W.           Enr: 46 Max: NA

STAT 410   INTRO STATISTICAL COMPUTING & REGRESSION Credits 3.00  Spring 01
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 HZ 120 - TTH 09:25AM - 10:40AM      Mielniczuk, Jan           Enr: 13 Max: NA

STAT 420   EXP DESIGN QUAL&PROCESS CONTRL           Credits 3.00  Spring 01
An historical development of quality control including the approaches of Ford,
Pareto, Shewhart, Deming, Box and Tageuchi.
Prereq- Stat 310 or consent of instructor.
001 HB 453 - TTH 10:50AM - 12:05PM      Mielniczuk, Jan           Enr: 12 Max:

STAT 432   INTRO MATHEMATICAL STAT II               Credits 3.00  Spring 01
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 DH 1046 - TTH 01:00PM - 02:15PM     Thombs, Lori              Enr: 2 Max: NA

STAT 450   PRACTICUM IN STATISTICAL MODELING        Credits 2.00  Spring 01
No description.
Prereq- Stat 310 or 305 and one of 410, 421, or 431 required.
001 DH 1046 - MW 02:00PM - 02:50PM      Baggett, Larry Scott      Enr: 2 Max: NA

STAT 486   INTRODUCTION TO STOCHASTIC MARKET MODELS Credits 3.00  Spring 01
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 DH 1070 - TTH 02:30PM - 03:50PM     Thompson, James R.        Enr: 9 Max: NA

STAT 491   INDEPENDENT STUDY                        Credits 1.00  Spring 01
No description
001 TBA - TBA                           Staff                     Enr: 2 Max: NA

STAT 503   TOPICS IN METH & DATA ANALYSIS           Credits 3.00  Spring 01
See Poli 503 schedule.
001 HB 423 - TTH 10:50AM - 12:05PM      Brace, Paul R.            Enr: 0 Max: NA

STAT 510   ADV PSYCHOLOGICAL STATISTICS II          Credits 3.00  Spring 01
See Psyc 503 for schedule.
001 SH 133 - TTH 01:00PM - 02:20PM      Lane, David M.            Enr: 0 Max: NA

STAT 532   ADVANCED STATISTICAL INFERENCE I         Credits 3.00  Spring 01
This is the first semester of a two-semester sequence in advanced statistical
inference.  The foundation of statistical inference will be covered at the
measure theoretic leve.  Topics include: probability-based sampling, sampling
distributions, asymptotic theory, small sample inference, point and set
estimation, hypothesis testing, decision theory.
Prereq- Stat 431, 581, or permission of instructor.
001 DH 1046 - TTH 01:00PM - 02:20PM     Thombs, Lori              Enr: 10 Max: NA

STAT 540   PRACTICUM IN STATISTICAL MODELING        Credits 3.00  Spring 01
Designed for graduate students in statistics.
Prereq- Stat 431 or consent of instructor.
001 DH 1046 - MW 02:00PM - 02:50PM      Baggett, Larry Scott      Enr: 2 Max: NA

STAT 541   MULTIVARIATE ANALYSIS                    Credits 3.00  Spring 01
Study of multivariate normal theory, principal components, factor analysis,
discrimination, and hypothesis testing.
Prereq- Stat 431 or permission of instructor.
001 HZ 212 - TTH 09:25AM - 10:40AM      Scott, David W.           Enr: 7 Max: NA

STAT 546   DESIGN & ANALYSIS OF EXPERIMENTS AND SAM Credits 3.00  Spring 01
No description.
Prereq- Stat 531 or 431.
001 TBA - TTH 10:50AM - 12:05PM         Wosniak, Werner           Enr: 3 Max: NA

STAT 551   TIME SERIES ANALYSIS AND SPATIAL PROCESS Credits 3.00  Spring 01
A course in the theoretical & methodological contructs of linear dependent
stochastic processes. Specific emphasis is given to temporal, spatial, and
spatio-temporal dependence structure.
Prereq- Stat 431 or consent of instructor.  Not offered every year.
001 TBA - TTH 01:00PM - 02:20PM         Cox, Dennis D.            Enr: 3 Max: NA

STAT 582   MATHEMATICAL PROBABILITY II              Credits 3.00  Spring 01
Continuation of Stat 581.
001 DH 1046 - MWF 10:00AM - 10:50AM     Olofsson, Peter           Enr: 10 Max: NA

STAT 586   SPECTRAL ANALYSIS                        Credits 3.00  Spring 01
No description
001 DH 1075 - TBA                       Staff                     Enr: 0 Max: NA

STAT 591   INDEPENDENT STUDY                        Credits 4.00  Spring 01
No description
Prereq- permission of instructor.
001 TBA - TBA                           Staff                     Enr: 1 Max: NA

STAT 600   GRADUATE SEMINAR IN STATISTICS           Credits 1.00  Spring 01
No description
001 DH 1046 - MW 11:00AM - 11:50AM      Thombs, Lori              Enr: 13 Max: NA

STAT 610   ECONOMETRICS I                           Credits 5.00  Spring 01
See Econ 510 for schedule.
001 BB 271 - TTH 09:15AM - 10:30AM      Brown, Bryan W.           Enr: 0 Max: NA
                                        El-Gamal, Mahmoud A.

STAT 800   THESIS                                   Credits 0.00  Spring 01
Course may be repeated for credit.
001 TBA - TBA                           Staff                     Enr: 6 Max: NA
Span 308   THE LANGUAGE OF MEDICINE AND HEALTH CARE Credits   Spring 01
No Description.
001 TBA - TBA                           Albin, Veronica S.        Enr: 8 Max: NA



Navigational Links

To Rice Home Page © 1999 Rice University