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Rice Course Schedule, Spring 1999
Statistics (STAT)

Rice Course Schedule as of 03/26/1999. This schedule is maintained by the Office of the Registrar (reg@rice.edu).

Additional information about Rice courses is available on the Rice Academic Information page. NOTE: Course web pages are available for some STAT courses.


STAT   280 ELEMENTARY APPLIED STATISTICS            Credits 4.00  Spring 99
           * RESTRICTED DISTRIBUTION COURSE: GROUP III
A noncalculus introduction to statistical methods with emphasis on
techniques.  Includes computer laboratory.
001 MWF     01:00PM-01:50PM DH*1070  Olofsson, Peter                *CURRENT ENR: 65

STAT   300 MODEL BUILDING                           Credits 3.00  Spring 99
           * 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 TTH     09:25AM-10:40AM HB*22    Jona-Lasinio, Giovanna         *CURRENT ENR: 6

STAT   305 INTRO TO STATISTICS FOR BIOS.            Credits 3.00  Spring 99
           * 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 MWF     09:00AM-09:50AM DH*1070  Papadopoulos, Savas            *CURRENT ENR: 38

STAT   310 PROBABILITY & STATISTICS                 Credits 3.00  Spring 99
Probability theory and the central concepts and methods of statistics.
Prereq- Math 102; Math 212 is recommended.
Also offered as Econ 382.
001 TTH     01:00PM-02:20PM SH*309   Papadopoulos, Savas            *CURRENT ENR: 43

STAT   381 INTRO TO APPLIED PROBABILITY             Credits 3.00  Spring 99
Concepts, interpretations, elementary techniques, and applications of
modern probability theory.
Prereq- Math 102.
001 TTH     09:25AM-10:40AM DH*1075  TBA                            *CURRENT ENR: 4

STAT   410 INTRO STAT COMPUT & REGRESSION           Credits 3.00  Spring 99
A survey of statistical methods with emphasis on computing and computing
environments, focusing on applied regression.
Prereq- Stat 310 or consent of instructor.
001 TTH     09:25AM-10:40AM HB*21    Scott, David                   *CURRENT ENR: 9

STAT   421 INTRO TO TIME SERIES ANALYSIS            Credits 3.00  Spring 99
Time series modeling and forecasting.
Prereq- Stat 310 or consent of instructor.
Also offered as Elec 432.
001 TTH     10:50AM-12:05PM DH*1046  Cox, Dennis                    *CURRENT ENR: 8

STAT   432 INTRO MATHEMATICAL STAT II               Credits 3.00  Spring 99
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 TTH     02:30PM-03:50PM HB*423   Ensor, Katherine               *CURRENT ENR: 0

STAT   491 INDEPENDENT STUDY                        Credits 1.00  Spring 99
001                                  TBA                            *CURRENT ENR: 2

STAT   503 TOPICS IN METH & DATA ANALYSIS           Credits 3.00  Spring 99
See Poli 503 schedule.
001 TTH     10:50AM-12:05PM BB*283   Brace, Paul                    *CURRENT ENR: 0

STAT   510 ADV PSYCHOLOGICAL STATISTICSII           Credits 3.00  Spring 99
See Psyc 503 for schedule.
Also offered as Psyc 503.
001 TBA     TBA                      Lane, David                    *CURRENT ENR: 0

STAT   532 MATHEMATICAL STATISTICS                  Credits 3.00  Spring 99
Same as Stat 432 with advanced problem sets.  Required for graduate
students in statistics.
Prereq- Stat 531.
001 TTH     02:30PM-03:50PM HB*423   Ensor, Katherine               *CURRENT ENR: 3

STAT   546 DESIGN & ANALYSIS OF  EXPERIMENTS        Credits 3.00  Spring 99
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 TTH     10:50AM-12:05PM PL*119   Baggerly, Keith                *CURRENT ENR: 6

STAT   582 MATHEMATICAL PROBABILITY II              Credits 3.00  Spring 99
Continuation of Stat 581.
001 MWF     10:00AM-10:50AM DH*1046  Cox, Dennis                    *CURRENT ENR: 3

STAT   591 INDEPENDENT STUDY                        Credits 4.00  Spring 99
Prereq- permission of instructor.
001                                  TBA                            *CURRENT ENR: 1

STAT   600 GRADUATE SEMINAR IN STATISTICS           Credits 1.00  Spring 99
001 M       11:00AM-11:50AM          Baggerly, Keith                *CURRENT ENR: 11

STAT   610 ECONOMETRICS I                           Credits 5.00  Spring 99
See Econ 510 for schedule.
Also offered as Econ 510.
001 TTH     02:10PM-03:25PM BB*271   Brown, Bryan                   *CURRENT ENR: 0

STAT   682 PATTERN RECOGNITION AND CLUSTER ANALYSIS Credits 3.00  Spring 99
001 TTH     02:30PM-03:50PM AL*B209  Scott, David                   *CURRENT ENR: 3

STAT   684 STOCHASTIC MODELS IN GENETICS            Credits 3.00  Spring 99
001 TTH     09:25AM-10:40AM DH*1070  Kimmel, Marek                  *CURRENT ENR: 8

STAT   687 POISSON PROCESSES                        Credits 3.00  Spring 99
001 TTH     01:00PM-02:00PM DH*1075  Bobrowski, Adam                *CURRENT ENR: 4

STAT   800 THESIS                                   Credits 0.00  Spring 99
001 TBA     TBA                      TBA                            *CURRENT ENR: 7



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-- Course schedule information provided by reg@rice.edu. Web version administered by riceinfo@rice.edu. Updated: Fri Mar 26 11:57:12 1999

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