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Schedule of Classes - Office of the Registrar


2022 - Spring

College of Arts & Sciences (AS)

Statistics (STA)

STA 1380
Elementary Statistics
Introduction to traditional statistical concepts including descriptive statistics, binomial and normal probability models, tests of hypotheses, linear correlation and regression, two-way contingency tables, and one-way analysis of variance. Credit may not be obtained after receiving credit in STA 2381 or 3381.
Section:
01
Status:
Closed
Max Enroll:
25
Seats Avail:
0
Days & Time:
TR 1230PM - 0145PM
Room:
MMSCI 304 
Activity:
Class Instruction
Instructor(s):
Emmie Jenkins
Section:
02
Status:
Open
Max Enroll:
75
Seats Avail:
1
Days & Time:
TR 1100AM - 1215PM
Room:
MMSCI 301 
Activity:
Class Instruction
Instructor(s):
Amy Maddox
Section:
03
Status:
Open
Max Enroll:
45
Seats Avail:
5
Days & Time:
----
Room:
 
Activity:
Class Instruction
Instructor(s):
Amy Maddox
Section:
04
Status:
Closed
Max Enroll:
25
Seats Avail:
0
Days & Time:
TR 0330PM - 0445PM
Room:
MMSCI 304 
Activity:
Class Instruction
Instructor(s):
Ryan Hebdon
Section:
05
Status:
Closed
Max Enroll:
25
Seats Avail:
0
Days & Time:
TR 0930AM - 1045AM
Room:
MMSCI 304 
Activity:
Class Instruction
Instructor(s):
Rachel Gidaro
Section:
06
Status:
Open
Max Enroll:
25
Seats Avail:
3
Days & Time:
TR 0330PM - 0445PM
Room:
SDRICH 206 
Activity:
Class Instruction
Instructor(s):
Randy Nguyen
Section:
07
Status:
Closed
Max Enroll:
25
Seats Avail:
0
Days & Time:
TR 0200PM - 0315PM
Room:
SDRICH 206 
Activity:
Class Instruction
Instructor(s):
Rory Samuels
Section:
08
Status:
Closed
Max Enroll:
25
Seats Avail:
0
Days & Time:
TR 0330PM - 0445PM
Room:
MMSCI GL58 
Activity:
Class Instruction
Instructor(s):
Bradley Thompson
Section:
09
Status:
Open
Max Enroll:
45
Seats Avail:
2
Days & Time:
----
Room:
 
Activity:
Class Instruction
Instructor(s):
Victoria Sides

STA 2300
Intro to Data Science
Cross-listed as: CSI 2300
Cross-listed as: CSI 2300
Principles of data science, including problem workflow, variable types, visualization, modeling, programming, data management and cleaning, reproducibility, and big data.
Section:
01
Status:
Closed
Max Enroll:
15
Seats Avail:
-1
Days & Time:
TR 1100AM - 1215PM
Room:
 
Activity:
Class Instruction
Instructor(s):
Mandy Hering
Michael Poor

STA 2381
Intro Statistical Methods
Prerequisite(s): A grade of C or above in MTH 1321.
Parametric statistical methods. Topics range from descriptive statistics through regression and one-way analysis of variance. Applications are typically from biology and medicine. Computer data analysis is required.
Section:
01
Status:
Open
Max Enroll:
155
Seats Avail:
1
Days & Time:
MW 0100PM - 0215PM
Room:
MORRSN 100 
Activity:
Class Instruction
Instructor(s):
Joshua Patrick
Section:
02
Status:
Open
Max Enroll:
45
Seats Avail:
1
Days & Time:
----
Room:
ONLINE  
Activity:
Class Instruction
Instructor(s):
Victoria Sides
Section:
03
Status:
Open
Max Enroll:
155
Seats Avail:
2
Days & Time:
MW 0230PM - 0345PM
Room:
MORRSN 100 
Activity:
Class Instruction
Instructor(s):
Joshua Patrick
Section:
04
Status:
Open
Max Enroll:
35
Seats Avail:
1
Days & Time:
TR 0200PM - 0315PM
Room:
MMSCI GL51 
Activity:
Class Instruction
Instructor(s):
Dean M. Young

STA 3381
Probability and Statistics
Prerequisite(s): A grade of C or above in MTH 1322.
Introduction to the fundamentals of probability, random variables, discrete and continuous probability distributions, expectations, sampling distributions, topics of statistical inference such as confidence intervals, tests of hypotheses, and regression.
Section:
01
Status:
Closed
Max Enroll:
40
Seats Avail:
-1
Days & Time:
MWF 0905AM - 0955AM
Room:
MMSCI GL51 
Activity:
Class Instruction
Instructor(s):
Jeanne Hill
Section:
02
Status:
Closed
Max Enroll:
25
Seats Avail:
0
Days & Time:
TR 0930AM - 1045AM
Room:
MMSCI GL58 
Activity:
Class Instruction
Instructor(s):
Joon Song
Section:
03
Status:
Closed
Max Enroll:
40
Seats Avail:
0
Days & Time:
MWF 1010AM - 1100AM
Room:
MMSCI GL51 
Activity:
Class Instruction
Instructor(s):
Jeanne Hill
Section:
04
Status:
Closed
Max Enroll:
40
Seats Avail:
-2
Days & Time:
TR 0200PM - 0315PM
Room:
SDRICH 224 
Activity:
Class Instruction
Instructor(s):
Michael Gallaugher

STA 3386
Regression Analysis
Prerequisite(s): MTH 2311, MTH 2321, and STA 3381
A development of regression techniques including simple linear regression, multiple regression, logistic regression and Poisson regression with emphasis on model assumptions, parameter estimation, variable selection and diagnostics.
Section:
01
Status:
Closed
Max Enroll:
9
Seats Avail:
0
Days & Time:
MW 0230PM - 0345PM
Room:
MMSCI GL51 
Activity:
Class Instruction
Instructor(s):
Rodney Sturdivant

STA 4360
Bayesian Data Analysis
Prerequisite(s): STA 4385
An introduction to Bayesian inference emphasizing prior and posterior
distributions, estimation, prediction, hierarchical Bayesian analysis, and
applications with computer implemented data analysis.
Section:
01
Status:
Open
Max Enroll:
24
Seats Avail:
7
Days & Time:
MW 0100PM - 0215PM
Room:
MMSCI GL51 
Activity:
Class Instruction
Instructor(s):
James Stamey

STA 4362
Applied Time Series Analysis
Prerequisite(s): STA 3386.
Statistical methods of analyzing time series. Model identification, estimation, forecasting, and spectral analysis will be discussed.   Applications in a variety of areas including economics and environmental science will be considered.
Section:
01
Status:
Open
Max Enroll:
25
Seats Avail:
11
Days & Time:
TR 1230PM - 0145PM
Room:
MMSCI GL51 
Activity:
Class Instruction
Instructor(s):
Joshua Patrick

STA 4382
Interm Statistical Methods
Prerequisite(s): A minimum grade of C in either STA 2381 or STA 3381; or consent of instructor.
Development and application of two-sample inferences, analysis of variance, multiple comparison procedures, and nonparametric methods.
Section:
01
Status:
Closed
Max Enroll:
25
Seats Avail:
0
Days & Time:
TR 0200PM - 0315PM
Room:
MMSCI GL58 
Activity:
Class Instruction
Instructor(s):
Jack Tubbs

STA 4384
Applied Multivariate Methods
Prerequisite(s): STA 3386.
Numerical and graphical descriptive statistics for multivariate data,  principal components and factor analysis, canonical correlation, discriminant analysis, multivariate analysis of variance, multidimensional contingency tables, and cluster analysis.
Section:
01
Status:
Open
Max Enroll:
8
Seats Avail:
2
Days & Time:
MW 0400PM - 0515PM
Room:
MMSCI GL53 
Activity:
Class Instruction
Instructor(s):
Dean M. Young

STA 4386
Mathematical Statistics II
Prerequisite(s): STA 4385 with minimum grade of C.
Theory of statistical estimation and hypothesis testing. Topics include point and interval estimation, properties of estimators, properties of test of hypotheses including most powerful and likelihood ratios tests, and decision theory including Bayes and minimax criteria.
Section:
01
Status:
Open
Max Enroll:
28
Seats Avail:
4
Days & Time:
TR 1100AM - 1215PM
Room:
MMSCI GL58 
Activity:
Class Instruction
Instructor(s):
Jeanne Hill

STA 43C9
Capstone Statistics Course
Prerequisite(s): Approval of the statistics undergraduate faculty advisor.
Statistical concepts applied to written and oral reports for consulting. For students majoring in statistics.
Section:
01
Status:
Open
Max Enroll:
19
Seats Avail:
6
Days & Time:
M 0530PM - 0815PM
Room:
 
Activity:
Class Instruction
Instructor(s):
Dean M. Young

STA 4V90
Special Topics in Statistics
Prerequisite(s): STA 2381 or STA 3381.
Topics in probability and/or statistics not covered in other courses. May be repeated for a maximum of 6 hours if the content is different.
Section:
01
Status:
Closed
Max Enroll:
0
Seats Avail:
-1
Days & Time:
----
Room:
 
Activity:
Independent Study
Instructor(s):
Joshua Patrick
Section:
03
Status:
Closed
Max Enroll:
0
Seats Avail:
-6
Days & Time:
----
Room:
 
Activity:
Independent Study
Instructor(s):
Jeanne Hill

STA 5300
Statistical Methods
Introduction to descriptive and inferential statistics. Topics may be selected from the following: descriptive statistics and graphs, probability, regression, correlation, tests of hypotheses, interval estimation, measurement, reliability, experimental design, analysis of variance, nonparametric methods, and multivariate methods.
Section:
01
Status:
Open
Max Enroll:
34
Seats Avail:
7
Days & Time:
TR 0930AM - 1045AM
Room:
MMSCI GL51 
Activity:
Class Instruction
Instructor(s):
Amy Maddox

STA 5303
Applied Regression Analysis
Prerequisite(s):  STA 5300 or equivalent
Regression modeling, estimation, and diagnostics with emphasis on applications. Topics include simple linear regression, multiple regression, logistic regression, and Poisson regression. The statistical programming language R is used.
Section:
01
Status:
Open
Max Enroll:
17
Seats Avail:
7
Days & Time:
MW 0230PM - 0345PM
Room:
MMSCI GL51 
Activity:
Class Instruction
Instructor(s):
Rodney Sturdivant

STA 5353
Theory of Statistics II
Prerequisite(s): STA 5352.
Topics include sampling distributions, likelihood and sufficiency principles, point and interval estimation, loss functions, Bayesian analysis, asymptotic convergence, and test of hypothesis.
Section:
01
Status:
Open
Max Enroll:
12
Seats Avail:
3
Days & Time:
MWF 0905AM - 0955AM
Room:
MMSCI 176 
Activity:
Class Instruction
Instructor(s):
Jane Harvill

STA 5364
Survival & Reliability
Prerequisite(s): STA 5352.
Basic concepts of lifetime distributions. Topics include types of censoring, inference procedures for exponential, Weibull, extreme value distributions, parametric and nonparametric estimation of survival function and accelerated life testing.
Section:
01
Status:
Open
Max Enroll:
15
Seats Avail:
7
Days & Time:
MW 0400PM - 0515PM
Room:
MMSCI 176 
Activity:
Class Instruction
Instructor(s):
John W. Seaman

STA 5377
Spatial Statistics
Prerequisite(s): STA 5353; or consent of instructor.
Exploratory spatial data analysis using both graphical and quantitative descriptions of spatial data including the empirical variogram. Topics include several theoretical isotropic and anisotropic variogram models and various methods for fitting variogram models such as maximum likelihood, restricted maximum likelihood, and weighted least squares. Techniques for prediction of spatial processes will include simple, ordinary, universal and Bayesian kriging. Spatial sampling procedures, lattice data, and spatial point processes will also be considered. Existing software and case studies involving data from the environment, geological and social sciences will be discussed.
Section:
01
Status:
Open
Max Enroll:
10
Seats Avail:
4
Days & Time:
TR 0200PM - 0315PM
Room:
MMSCI 176 
Activity:
Class Instruction
Instructor(s):
Joon Song

STA 5381
Methods in Statistics II
Prerequisite(s): STA 5380 or consent of instructor.  
A continuation of STA 5380 with robust regression, quantile regression, and regression trees.  K population descriptive and inferential methods. A matrix approach to one-way analysis of variance and least squares in balanced designs with fixed and random effects.  Multiple comparison procedures, power, and sample size.  A brief introduction to generalized linear models.
Section:
01
Status:
Open
Max Enroll:
12
Seats Avail:
2
Days & Time:
TR 1100AM - 1215PM
Room:
MMSCI GL52 
Activity:
Class Instruction
Instructor(s):
Jack Tubbs

STA 5384
Multivariate Stat Method
Discriminant analysis, canonical correlation analysis, and multivariate analysis of variance.
Section:
01
Status:
Open
Max Enroll:
10
Seats Avail:
10
Days & Time:
MW 0400PM - 0515PM
Room:
MMSCI GL53 
Activity:
Class Instruction
Instructor(s):
Dean M. Young

STA 5388
Seminar in Statistics
Prerequisite(s): Consent of instructor.
Selected topics in Statistics. May be repeated once with change of topic.
Section:
01
Status:
Open
Max Enroll:
5
Seats Avail:
5
Days & Time:
M 0545PM - 0830PM
Room:
MMSCI 228 
Activity:
Class Instruction
Instructor(s):
STAFF

STA 5V85
Practice in Statistics
Consulting, research, and teaching in statistics.
Section:
01
Status:
Open
Max Enroll:
12
Seats Avail:
2
Days & Time:
MWF 0905AM - 0955AM
Room:
MMSCI 176 
Activity:
Internship/Practicum
Instructor(s):
Jane Harvill
Section:
02
Status:
Open
Max Enroll:
7
Seats Avail:
7
Days & Time:
----
Room:
 
Activity:
Internship/Practicum
Instructor(s):
STAFF

STA 5V95
Topics in Statistics
Prerequisite(s): Consent of instructor.
  Selected topics in statistics. May involve texts, current literature, or an applied data model analysis. This course may be repeated up to four times with change of topic.
Section:
01
Status:
Open
Max Enroll:
14
Seats Avail:
9
Days & Time:
MW 0230PM - 0345PM
Room:
SDRICH 321 
Activity:
Independent Study
Instructor(s):
David Kahle
Section:
02
Status:
Open
Max Enroll:
15
Seats Avail:
15
Days & Time:
TR 0200PM - 0315PM
Room:
DRAPER 150.01 
Activity:
Independent Study
Instructor(s):
STAFF

STA 6352
Bayesian Theory
Prerequisite(s): STA 5353 or equivalent.                                          
Bayesian statistical inference, including foundations, decision theory, prior construction, Bayesian point and interval estimation, and other inference topics. Comparisons between Bayesian and non-Bayesian methods are emphasized throughout.
Section:
01
Status:
Open
Max Enroll:
15
Seats Avail:
9
Days & Time:
MW 0230PM - 0345PM
Room:
MMSCI 176 
Activity:
Class Instruction
Instructor(s):
John W. Seaman

STA 6376
Computational Statistics II
Prerequisite(s): STA 6375.
A continuation of STA 6374 with an emphasis on computational and applied mathematics, pseudo-random variate generation, and Monte Carlo methods.  Credit cannot be received for this course and for STA 5373.
Section:
01
Status:
Open
Max Enroll:
15
Seats Avail:
6
Days & Time:
TR 0200PM - 0315PM
Room:
MMSCI GL60 
Activity:
Class Instruction
Instructor(s):
David Kahle

STA 6V99
Dissertation
Supervised research for the doctoral dissertation. maximum of nine semester hours will count for the degree. A student may register for one to six semester hours in one semester.
Section:
01
Status:
Open
Max Enroll:
5
Seats Avail:
3
Days & Time:
----
Room:
 
Activity:
Independent Study
Instructor(s):
John W. Seaman
Section:
02
Status:
Open
Max Enroll:
5
Seats Avail:
5
Days & Time:
----
Room:
 
Activity:
Independent Study
Instructor(s):
Dean M. Young
Section:
03
Status:
Open
Max Enroll:
5
Seats Avail:
1
Days & Time:
----
Room:
 
Activity:
Independent Study
Instructor(s):
Joon Song
Section:
04
Status:
Open
Max Enroll:
5
Seats Avail:
3
Days & Time:
----
Room:
 
Activity:
Independent Study
Instructor(s):
Jack Tubbs
Section:
06
Status:
Open
Max Enroll:
5
Seats Avail:
4
Days & Time:
----
Room:
 
Activity:
Independent Study
Instructor(s):
James Stamey
Section:
07
Status:
Open
Max Enroll:
5
Seats Avail:
2
Days & Time:
----
Room:
 
Activity:
Independent Study
Instructor(s):
Jane Harvill
Section:
08
Status:
Open
Max Enroll:
5
Seats Avail:
3
Days & Time:
----
Room:
 
Activity:
Independent Study
Instructor(s):
David Kahle
Section:
09
Status:
Open
Max Enroll:
5
Seats Avail:
3
Days & Time:
----
Room:
 
Activity:
Independent Study
Instructor(s):
Mandy Hering

Baylor University Campus