 | | Course ID: | STAT 1501. 3 hours. | | Course Title: | Introduction to Data Science | Course
Description: | An introduction to data science with an emphasis on conceptual understanding and interpretation. Surveys various statistical techniques for gaining insights about data. Topics include data visualization, using models to understand data, classification, and other machine learning techniques. Explores ethical considerations in data science. Students will learn to use basic computational tools for data exploration. | | Athena Title: | Introduction to Data Science | Semester Course
Offered: | Offered fall and spring semester every year. | | Grading System: | A-F (Traditional) |
| | | Course ID: | STAT 2000E. 4 hours. | | Course Title: | Introductory Statistics | Course
Description: | Introductory statistics, including the collection of data,
descriptive statistics, probability, and inference. Topics
include sampling methods, experiments, numerical and graphical
descriptive methods, correlation and regression, contingency
tables, probability concepts and distributions, confidence
intervals, and hypothesis testing for means and proportions. | | Athena Title: | Introductory Statistics | | Equivalent Courses: | Not open to students with credit in STAT 2000, STAT 2100H, BIOS 2010, BIOS 2010E | | Nontraditional Format: | This course will be taught 95% or more online. | Semester Course
Offered: | Offered summer semester every year. | | Grading System: | A-F (Traditional) |
| | | Course ID: | STAT 2000. 4 hours. 3 hours lecture and 2 hours lab per week. | | Course Title: | Introductory Statistics | Course
Description: | Introductory statistics, including the collection of data,
descriptive statistics, probability, and inference. Topics
include sampling methods, experiments, numerical and graphical
descriptive methods, correlation and regression, contingency
tables, probability concepts and distributions, confidence
intervals, and hypothesis testing for means and proportions. | | Athena Title: | Introductory Statistics | | Equivalent Courses: | Not open to students with credit in STAT 2000E, STAT 2100H, BIOS 2010, BIOS 2010E | Semester Course
Offered: | Offered fall, spring and summer semester every year. | | Grading System: | A-F (Traditional) |
| | | Course ID: | STAT 2010. 3 hours. | | Course Title: | Statistical Methods for Data Scientists | Course
Description: | In-depth introductory statistical methods, focusing on inference,
alignment between study design and conclusions, and real-world
decision making. Includes parametric and non-parametric
approaches to one- and two-sample inference for means and
proportions, Type I and II errors, power; chi-squared tests and
simple regression. Course will be implemented in R. | | Athena Title: | Stat Methods Data Scientists | Semester Course
Offered: | Offered fall and spring semester every year. | | Grading System: | A-F (Traditional) |
| | | Course ID: | STAT 2100H. 4 hours. | | Course Title: | Introduction to Statistics and Computing (Honors) | Course
Description: | Sampling theory including sample survey design; descriptive statistics; statistical distributions and their uses; estimation; introductory statistical inference including z-test and t-test for one sample (hypothesis testing); analysis of differences in two means; simple linear regression and correlation; goodness of fit tests and contingency tables. | | Athena Title: | Intro to Stat and Comput Hon | | Equivalent Courses: | Not open to students with credit in STAT 2000, STAT 2000E, BIOS 2010, BIOS 2010E | | Prerequisite: | Permission of Honors | Semester Course
Offered: | Offered fall and spring semester every year. | | Grading System: | A-F (Traditional) |
| | | Course ID: | STAT 2360-2360L. 4 hours. 3 hours lecture and 2 hours lab per week. | | Course Title: | Programming and Data Literacy Using R | Course
Description: | Elementary statistical analysis and data manipulation in R. Topics
include algorithms, programs, and computing in R. Fundamental
techniques of program development in R. Programming projects and
applications. Hands-on experience of data input/output and
formatting, brief introduction to object-oriented programming,
introduction to statistical computing and very elementary data
analysis and graphics. | | Athena Title: | Program and Data Lit Using R | | Prerequisite: | STAT 2000 or STAT 2100H or STAT 2010 | | Pre or Corequisite: | STAT 4210 | Semester Course
Offered: | Offered fall, spring and summer semester every year. | | Grading System: | A-F (Traditional) |
| | | Course ID: | STAT 3110E. 3 hours. | | Course Title: | Introduction to Statistics for Life Sciences | Course
Description: | Applied approach to statistical investigation, focusing on real-
world decision making in the face of uncertainty. Introduction to
central limit theorem and sampling distributions from
probabilistic and simulations frameworks for inference, including
one- and two-sample inference for means, proportions, simple
regression, and categorical data. Consequences of Type I, Type II
errors. | | Athena Title: | Intro to Stat for Life Science | | Equivalent Courses: | Not open to students with credit in STAT 3110 | | Nontraditional Format: | This course will be taught 95% or more online. | Semester Course
Offered: | Offered summer semester every year. | | Grading System: | A-F (Traditional) |
| | | Course ID: | STAT 3110. 3 hours. | | Course Title: | Introduction to Statistics for Life Sciences | Course
Description: | Applied approach to statistical investigation, focusing on real-
world decision making in the face of uncertainty. Introduction to
central limit theorem and sampling distributions from
probabilistic and simulations frameworks for inference, including
one- and two-sample inference for means, proportions, simple
regression, and categorical data. Consequences of Type I, Type II
errors. | | Athena Title: | Intro to Stat for Life Science | | Equivalent Courses: | Not open to students with credit in STAT 3110E | Semester Course
Offered: | Offered fall semester every year. | | Grading System: | A-F (Traditional) |
| | | Course ID: | STAT 3120. 3 hours. | | Course Title: | Introduction to Probability for Life Sciences | Course
Description: | An understanding of probability and uncertainty in real-world
situations. Case studies of the role of uncertainty in the
life sciences. Analyzing chance phenomena to identify the
underlying probabilistic principles and translating them into
probability distributions or simulations. Introduction to
random variables, expected values, and variance in applied
settings to understand decision making in the face of
variability. Introduction to common discrete and continuous
random variables and their applications to the life sciences.
Extensive use of computer simulations to aid in conceptual
understanding. | | Athena Title: | Intro to Prob for Life Science | | Prerequisite: | MATH 2250 or MATH 2250E or MATH 2300H or MATH 2400 or MATH 2400H | Semester Course
Offered: | Offered spring semester every year. | | Grading System: | A-F (Traditional) |
| | | Course ID: | STAT(EMAT) 4050/6050. 3 hours. | | Course Title: | Data Analysis for Elementary and Middle School Teachers | Course
Description: | Univariate analysis for measurement data using graphs and
numerical summaries; bivariate analysis for measurement data
using scatterplots, correlation, and fitting lines; describing
categorical data; sampling methods; observational and
experimental studies; describing random behavior; binomial and
normal distributions; sampling distributions; confidence
intervals and significance testing; pedagogy methods for
instruction and integrating technology. | | Athena Title: | Data Analysis for Teachers | | Equivalent Courses: | Not open to students with credit in STAT 4070 or STAT 6070 | | Prerequisite: | STAT 2000 | | Grading System: | A-F (Traditional) |
| | | Course ID: | STAT 4070/6070. 3 hours. 2 hours lecture and 1 hours lab per week. | | Course Title: | Probability and Statistics for Secondary Teachers | Course
Description: | Sampling and statistical studies; basic probability; random variables and their distributions; exploring data using graphical techniques and numerical summaries; exploring relationships between two variables: chi-sq. test of independence; correlation, linear regression; confidence intervals and hypothesis testing for means and proportions. Group projects and activities illustrating concepts will be utilized. | | Athena Title: | Statistics for Secondary Teach | | Equivalent Courses: | Not open to students with credit in STAT 4050, EMAT 4050 or STAT 6050, EMAT 6050 | | Prerequisite: | STAT 2000 | Semester Course
Offered: | Offered fall semester every year. | | Grading System: | A-F (Traditional) |
| | | Course ID: | STAT 4100/6100. 3 hours. | | Course Title: | Applied Stochastic Processes | Course
Description: | Stochastic processes including discrete, continuous and conditional probability concepts. Definitions and properties of stochastic processes. Markov processes and chains, basic properties, transition matrices and steady state properties. Reliability renewal and queueing processes, expected waiting times, single and multiserver queues. | | Athena Title: | Applied Stochastic Processes | | Prerequisite: | (MATH 2270 or MATH 2500) and (MATH 3300 or MATH 3000) and (STAT 4510/6510 or MATH 4600/6600) | Semester Course
Offered: | Offered spring semester every odd-numbered year. | | Grading System: | A-F (Traditional) |
| | | Course ID: | STAT 4110H. 3 hours. | | Course Title: | Honors Applied Statistics | Course
Description: | Analysis of variance including completely randomized design, randomized block design, factorial designs, and interaction; regression analysis including linear regression and multiple regression, model checking and analysis of residuals, and model building; nonparametric statistics; power of a test. Computer application by use of a statistical package with programming capabilities. Major project required. | | Athena Title: | HONORS APPL STAT | | Equivalent Courses: | Not open to students with credit in STAT 4110 or STAT 4210 | | Prerequisite: | STAT 2100H and permission of Honors | Semester Course
Offered: | Offered spring semester every year. | | Grading System: | A-F (Traditional) |
| | | Course ID: | STAT 4210. 3 hours. | | Course Title: | Statistical Methods | Course
Description: | A survey of statistical methods that introduces experimental
design and analysis of variance; multiple linear regression;
analysis of categorical data, including chi-squared tests of
independence and goodness-of-fit; non-parametric tests, including
tests based on resampling; and statistical power. Emphasizes
precise statistical communication and implementation using
statistical software. | | Athena Title: | Statistical Methods | | Equivalent Courses: | Not open to students with credit in STAT 4110H | | Prerequisite: | STAT 2000 or STAT 2000E or MSIT 3000 or MSIT 3000H or MSIT 3000E or BUSN 3000 or BUSN 3000E or BUSN 3000H | Semester Course
Offered: | Offered fall, spring and summer semester every year. | | Grading System: | A-F (Traditional) |
| | | Course ID: | STAT 4220. 3 hours. | | Course Title: | Applied Experimental Designs | Course
Description: | Constructing and analyzing statistical experimental designs;
blocking, randomization, replication, and interaction; complete
and incomplete block designs; factorial experiments; repeated
measures; confounding effects; orthogonal arrays; computer
experiments and simulations; design and analysis for generalized
linear models. | | Athena Title: | Applied Experimental Designs | | Prerequisite: | STAT 4230/6230 | Semester Course
Offered: | Offered fall, spring and summer semester every year. | | Grading System: | A-F (Traditional) |
| | | Course ID: | STAT 4230/6230. 3 hours. | | Course Title: | Applied Regression Analysis | Course
Description: | Applied methods in regression analysis with implementation in
R. Topics include linear regression with mathematical examination
of model assumptions and inferential procedures; multiple
regression and model building, including collinearity, variable
selection and inferential procedures; ANOVA as regression
analysis; analysis of covariance; diagnostic checking techniques;
generalized linear models, including logistic regression. | | Athena Title: | Applied Regression Analysis | | Undergraduate Prerequisite: | (STAT 4210 or STAT 4110H) and (MATH 2250 or MATH 2250E) and (STAT 2010 or STAT 2360-2360L) | | Graduate Prerequisite: | STAT 6210 or STAT 6310 or STAT 6315 or permission of department | Semester Course
Offered: | Offered fall, spring and summer semester every year. | | Grading System: | A-F (Traditional) |
| | | Course ID: | STAT 4240/6240. 3 hours. | | Course Title: | Sampling and Survey Methods | Course
Description: | Design of finite population sample surveys. Stratified, systematic, and multistage cluster sampling designs. Sampling with probability proportional to size. Auxiliary variables, ratio and regression estimators, non-response bias. | | Athena Title: | Sampling and Survey Methods | | Prerequisite: | STAT 2360-2360L and (STAT 4210 or STAT 4110H) | Semester Course
Offered: | Offered fall semester every year. | | Grading System: | A-F (Traditional) |
| | | Course ID: | STAT 4250/6250. 3 hours. | | Course Title: | Applied Multivariate Analysis and Statistical Learning | Course
Description: | The methodology of multivariate statistics and machine learning
for students specializing in statistics. Topics include inference
on multivariate means, multivariate analysis of variance,
principal component analysis, linear discriminant analysis,
factor analysis, linear discrimination, classification trees,
multi-dimensional scaling, canonical correlation analysis,
clustering, support vector machines, and ensemble methods. | | Athena Title: | Applied Multivariate Analysis | | Undergraduate Prerequisite: | (MATH 3300 or MATH 3300E or MATH 3000) and (MATH 2270 or MATH 2270H or MATH 2500 or MATH 2500E) and STAT 4230/6230 and (STAT 4360/6360 or STAT 4360E/6360E or STAT 4365/6365) | | Graduate Prerequisite: | STAT 6420 or permission of department | Semester Course
Offered: | Offered every year. | | Grading System: | A-F (Traditional) |
| | | Course ID: | STAT 4260/6260. 3 hours. | | Course Title: | Statistical Quality Assurance | Course
Description: | Basic graphical techniques and control charts. Experimentation in quality assurance. Sampling issues. Other topics include process capability studies, error analysis, SPRT, estimation and reliability. | | Athena Title: | QUALITY ASSURANCE | | Undergraduate Prerequisite: | STAT 4210 or STAT 4110H | | Graduate Prerequisite: | STAT 6220 or STAT 6310 or STAT 6315 or permission of department | Semester Course
Offered: | Offered spring semester every even-numbered year. | | Grading System: | A-F (Traditional) |
| | | Course ID: | STAT 4270/6270. 3 hours. | | Course Title: | Network Data Analysis and Graphical Models | Course
Description: | Network structures are increasingly common across the sciences, such as brain connectivity, gene-gene interaction, protein-protein interaction, the spread of diseases, social networks, etc. This course will introduce state-of-the-art concepts and algorithms concerning networks in statistics and machine learning. The presentation will entail a conscious balance of concepts, algorithms, and applications. | | Athena Title: | Network Data Graphical Models | | Undergraduate Prerequisite: | STAT 4230/6230 and STAT 4510/6510 | | Graduate Prerequisite: | STAT 6220 or STAT 4230/6230 or STAT 6315 or STAT 6420 or STAT 8200 or permission of department | Semester Course
Offered: | Offered fall, spring and summer semester every year. | | Grading System: | A-F (Traditional) |
| | | Course ID: | STAT 4280/6280. 3 hours. | | Course Title: | Applied Time Series Analysis | Course
Description: | Autoregressive, moving average, autoregressive-moving average, and integrated autoregressive-moving average processes, seasonal models, autocorrelation function, estimation, model checking, forecasting, spectrum, spectral estimators. | | Athena Title: | Applied Time Series Analysis | | Undergraduate Prerequisite: | STAT 4230/6230 | | Graduate Prerequisite: | [STAT 4360/6360 or STAT 4365/6365 or STAT 4360E/6360E and (STAT 4230/6230 or STAT 6315 or STAT 6420)] or permission of department | Semester Course
Offered: | Offered fall semester every year. | | Grading System: | A-F (Traditional) |
| | | Course ID: | STAT 4290/6290. 3 hours. | | Course Title: | Nonparametric Methods | Course
Description: | Techniques and applications of nonparametric statistical methods, estimates, confidence intervals, one sample tests, two sample tests, several sample tests, tests of fit, nonparametric analysis of variance, correlation tests, chi-square test of independence and homogeneity, sample size determination for some nonparametric tests. | | Athena Title: | Nonparametric Methods | | Undergraduate Prerequisite: | (MATH 3300 or MATH 3300E or MATH 3000) and STAT 4510/6510 and (STAT 4360/6360 or STAT 4360E/6360E or STAT 4365/6365) | | Graduate Prerequisite: | STAT 6220 or STAT 6315 or permission of department | Semester Course
Offered: | Offered spring semester every year. | | Grading System: | A-F (Traditional) |
| | | Course ID: | STAT 4350/6350. 3 hours. | | Course Title: | Applied Bayesian Statistics | Course
Description: | Introduction to theory and methods of the Bayesian approach to
statistical inference and data analysis. Covers components of
Bayesian analysis (prior, likelihood, posterior), computational
algorithms, and philosophical differences among various schools
of statistical thought. | | Athena Title: | Applied Bayesian Statistics | | Prerequisite: | STAT 4510/6510 and STAT 4230/6230 | Semester Course
Offered: | Offered spring semester every odd-numbered year. | | Grading System: | A-F (Traditional) |
| | | Course ID: | STAT 4360/6360. 3 hours. | | Course Title: | Statistical Software Programming | Course
Description: | Programming techniques in modern statistical software, including
SAS and R for students with some experience with computer
programming. Topics include data input/output; data formats and
types; data management; flow control, conditional execution, and
program design; statistical graphics and exploratory data
analysis; basic procedures, and functions for statistical
modeling and inference. | | Athena Title: | Statistical Software Program | | Equivalent Courses: | Not open to students with credit in STAT 4360E or STAT 6360E | | Undergraduate Prerequisite: | CSCI 1301-1301L and (STAT 4220 or STAT 4230/6230) | | Graduate Prerequisite: | STAT 6220 or STAT 4230/6230 or STAT 6320 or STAT 6420 or STAT 8200 or permission of department | Semester Course
Offered: | Offered spring and summer semester every year. | | Grading System: | A-F (Traditional) |
| | | Course ID: | STAT 4360E/6360E. 3 hours. | | Course Title: | Statistical Software Programming | Course
Description: | Programming techniques in modern statistical software, including
SAS and R for students with some experience with computer
programming. Topics include data input/output; data formats and
types; data management; flow control, conditional execution, and
program design; statistical graphics and exploratory data
analysis; basic procedures, and functions for statistical
modeling and inference. | | Athena Title: | Statistical Software Program | | Equivalent Courses: | Not open to students with credit in STAT 4360 or STAT 6360 | | Nontraditional Format: | This course will be taught 95% or more online. | | Undergraduate Prerequisite: | CSCI 1301-1301L and (STAT 4220 or STAT 4230/6230) | | Graduate Prerequisite: | STAT 6220 or STAT 4230/6230 or STAT 6320 or STAT 6420 or STAT 8200 or permission of department | | Grading System: | A-F (Traditional) |
| | | Course ID: | BIOS(STAT) 4380/6380. 3 hours. | | Course Title: | Survival Analysis | Course
Description: | Methods for comparing time-to-event data, including univariate parametric and nonparametric procedures, regression models, diagnostics, group comparisons, and use of relevant statistical computing packages. | | Athena Title: | SURVIVAL ANALYSIS | | Undergraduate Prerequisite: | [(STAT 4210 or STAT 4110H) and STAT 4510/6510] or permission of department | | Graduate Prerequisite: | [(STAT 6220 or STAT 4230/6230 or STAT 6320 or STAT 6420 or BIOS 7020) and STAT 4510/6510] or permission of department | Semester Course
Offered: | Offered spring semester every year. | | Grading System: | A-F (Traditional) |
| | | Course ID: | STAT 4440/6440. 3 hours. | | Course Title: | Design and Analysis of Complex Computer Models | Course
Description: | Rapid growth in computer power has made it possible to study complex physical phenomena that might otherwise be too time-consuming or expensive to observe. This course will introduce state-of-the-art concepts and algorithms concerning the design and analysis of computer experiments. | | Athena Title: | Computer Experiments | | Undergraduate Prerequisite: | (STAT 4220 and STAT 4510/6510) or permission of department | | Graduate Prerequisite: | STAT 6430 or permission of department | Semester Course
Offered: | Offered fall and spring semester every year. | | Grading System: | A-F (Traditional) |
| | | Course ID: | STAT 4510/6510. 3 hours. | | Course Title: | Mathematical Statistics I | Course
Description: | Concepts and basic properties of some special probability distributions, independence, moment generating functions, sampling distributions of statistics, limiting distributions. | | Athena Title: | MATH STATISTICS I | | Prerequisite: | MATH 2270 or MATH 2500 | Semester Course
Offered: | Offered fall semester every year. | | Grading System: | A-F (Traditional) |
| | | Course ID: | STAT 4520/6520. 3 hours. | | Course Title: | Mathematical Statistics II | Course
Description: | Introduction to the fundamentals of statistical inference.
Point estimation, including the properties of estimators and
ways of evaluating or comparing them, confidence intervals, and
hypothesis testing. Statistical inference in linear models,
including regression and analysis of variance, is also
discussed. | | Athena Title: | MATH STATISTICS II | | Undergraduate Prerequisite: | STAT 4510/6510 | | Graduate Prerequisite: | STAT 4510/6510 | Semester Course
Offered: | Offered spring semester every year. | | Grading System: | A-F (Traditional) |
| | | Course ID: | STAT 4530/6530. 3 hours. | | Course Title: | Statistical Inference for Data Scientists | Course
Description: | Mathematical and computational approaches to estimation and
inference from frequentist and Bayesian perspectives. Sampling
distributions; maximum likelihood estimation; computational
maximization of likelihoods, including grid search, Newton-
Raphson methods; likelihood ratio tests. Simulations of power
and error rates. Introduction to Bayesian inference; prior and
posterior distributions; model building; sampling from the
posterior distribution; MCMC algorithms. | | Athena Title: | Stat Inference Data Scientists | | Undergraduate Prerequisite: | CSCI 3360 and STAT 4510/6510 | | Graduate Prerequisite: | STAT 4510/6510 | Semester Course
Offered: | Offered spring semester every year. | | Grading System: | A-F (Traditional) |
| | | Course ID: | STAT 4620/6620. 3 hours. | | Course Title: | Applied Categorical Data Analysis | Course
Description: | The methodology of categorical data analysis and its
applications. The course covers descriptive and inferential
methods for contingency tables, an introduction to generalized
linear models, logistic regression, multinomial response models,
regression for counts, and methods for categorical data from
matched pairs. | | Athena Title: | Categorical Data Analysis | | Pre or Corequisite: | STAT 4220 and STAT 4510/6510 | | Grading System: | A-F (Traditional) |
| | | Course ID: | STAT 4660. 3 hours. | | Course Title: | Introduction to Quantitative Biology | Course
Description: | Applications of mathematics and statistics in biology. Topics
such as gene mapping, inference of evolutionary relationships,
epidemiological modeling, and brain imaging. Students will
conduct mini-projects on each topic. Emphasis on (1) thought
process of converting biological problems into mathematical ones,
and (2) writing computer programs to conduct analyses using real
data. | | Athena Title: | Intro Quantitative Biology | | Prerequisite: | STAT 2360-2360L | Semester Course
Offered: | Offered fall semester every even-numbered year. | | Grading System: | A-F (Traditional) |
| | | Course ID: | STAT 4710/6710. 3 hours. | | Course Title: | Introduction to Probability Theory I | Course
Description: | Probability axioms, combinatorial analysis, random variables, univariate and multivariate distributions, expectations, conditional distributions, independence, and laws of large numbers. | | Athena Title: | INTRO PROBABILITY I | | Equivalent Courses: | Not open to students with credit in STAT 8170 | | Prerequisite: | MATH 2500 or MATH 2270 | Semester Course
Offered: | Not offered on a regular basis. | | Grading System: | A-F (Traditional) |
| | | Course ID: | STAT 4720/6720. 3 hours. | | Course Title: | Introduction to Probability Theory II | Course
Description: | Central limit theorems, random walks, Markov chains and processes, Brownian motion, branching and renewal processes, diffusion processes and queueing processes and applications. | | Athena Title: | INTR PROBABILITY II | | Equivalent Courses: | Not open to students with credit in STAT 8170 | | Prerequisite: | STAT 4710/6710 | Semester Course
Offered: | Not offered on a regular basis. | | Grading System: | A-F (Traditional) |
| | | Course ID: | STAT 4800/6800. 3 hours. | | Course Title: | Tools for Statistical Theory | Course
Description: | Provides preparation for graduate study in statistics by
surveying topics in linear algebra and other areas chosen to
strengthen students' analytical and mathematical skills. | | Athena Title: | Tools for Statistical Theory | | Undergraduate Prerequisite: | [(MATH 2260 or MATH 2260E or MATH 2260H or MATH 2410 or MATH 2410H or MATH 3200 or MATH 3200W) and STAT 4230/6230 and STAT 4510/6510 and (MATH 3000 or MATH 3300 or MATH 3300E)] or permission of department | | Graduate Prerequisite: | Permission of department | Semester Course
Offered: | Offered fall semester every year. | | Grading System: | A-F (Traditional) |
| | | Course ID: | STAT 4950. 1-3 hours. Repeatable for maximum 6 hours credit. | | Course Title: | Undergraduate Directed Study in Statistics | Course
Description: | This course will allow students the opportunity for independent
study of one or more topics in statistics under the direction of
the instructor. | | Athena Title: | UG DIR STUDY STAT | | Nontraditional Format: | Students' workload and time commitment to the course per credit
hour will be commensurate with the per credit hour expectations
in traditional 4000-level courses offered by the Department of
Statistics. A minimum of one contact hour with the instructor
per credit hour per week is required. | | Prerequisite: | Permission of department | | Grading System: | A-F (Traditional) |
| | | Course ID: | STAT 4960R. 1-6 hours. Repeatable for maximum 16 hours credit. | | Course Title: | Faculty-Mentored Undergraduate Research I | Course
Description: | Faculty-supervised independent or collaborative inquiry into
fundamental and applied problems within a discipline that
requires
students to gather, analyze, synthesize, and interpret data and
to
present results in writing and other relevant communication
formats. | | Athena Title: | Undergraduate Research I | | Nontraditional Format: | This course belongs to a progressive research course sequence
to
promote a student's increasing skill development and depth of
inquiry, as well as growing independent research capability.
This course requires the close supervision of a faculty member
as the student undertakes a systematic and in-depth inquiry
into
unknown, fundamental, and applied problems. In some cases, the
student will work collaboratively as part of a research team.
The student will have to apply understanding of the discipline
to identify or shape research questions and apply skills and
techniques learned to the research project. Students will
gather
data, synthesize relevant literature, analyze, and interpret
data. The student will present results in writing or through
participation in research-group or program meetings and
meetings
with their faculty mentor. The student will receive feedback
from the faculty mentor on their research progress and written
or oral presentation of results. A minimum of 45 hours of work
per credit hour per semester is required. | | Prerequisite: | Permission of department | Semester Course
Offered: | Offered fall, spring and summer semester every year. | | Grading System: | A-F (Traditional) |
| | | Course ID: | STAT 4970R. 1-6 hours. Repeatable for maximum 8 hours credit. | | Course Title: | Faculty-Mentored Undergraduate Research II | Course
Description: | Faculty-supervised independent or collaborative inquiry into
fundamental and applied problems within a discipline that
requires
students to gather, analyze, synthesize, and interpret data and
to
present results in writing and other relevant communication
formats. | | Athena Title: | Undergraduate Research II | | Nontraditional Format: | These courses belong to a progressive research course sequence
to promote a student's increasing skill development and depth
of
inquiry, as well as growing independent research capability.
The
courses require the close supervision of a faculty member as
the
student undertakes a systematic and in-depth inquiry into
unknown, fundamental, and applied problems. In some cases, the
student will work collaboratively as part of a research team.
The student will have to apply understanding of the discipline
to identify or shape research questions and apply skills and
techniques learned to the research project. Students will
gather
data, synthesize relevant literature, analyze, and interpret
data. The student will present results in writing or through
participation in research-group or program meetings and
meetings
with their faculty mentor. The student will receive feedback
from the faculty mentor on their research progress and written
or oral presentation of results. A minimum of 45 hours of work
per credit hour per semester is required. | | Prerequisite: | Permission of department | Semester Course
Offered: | Offered fall, spring and summer semester every year. | | Grading System: | A-F (Traditional) |
| | | Course ID: | STAT 4980R. 1-6 hours. Repeatable for maximum 8 hours credit. | | Course Title: | Faculty-Mentored Undergraduate Research III | Course
Description: | Faculty-supervised independent or collaborative inquiry into
fundamental and applied problems within a discipline that
requires
students to gather, analyze, synthesize, and interpret data and
to
present results in writing and other relevant communication
formats. | | Athena Title: | Undergraduate Research III | | Nontraditional Format: | These courses belong to a progressive research course sequence
to promote a student's increasing skill development and depth
of
inquiry, as well as growing independent research capability.
The
courses require the close supervision of a faculty member as
the
student undertakes a systematic and in-depth inquiry into
unknown, fundamental, and applied problems. In some cases, the
student will work collaboratively as part of a research team.
The student will have to apply understanding of the discipline
to identify or shape research questions and apply skills and
techniques learned to the research project. Students will
gather
data, synthesize relevant literature, analyze, and interpret
data. The student will present results in writing or through
participation in research-group or program meetings and
meetings
with their faculty mentor. The student will receive feedback
from the faculty mentor on their research progress and written
or oral presentation of results. A minimum of 45 hours of work
per credit hour per semester is required. | | Prerequisite: | Permission of department | Semester Course
Offered: | Offered fall, spring and summer semester every year. | | Grading System: | A-F (Traditional) |
| | | Course ID: | STAT 4990R. 1-6 hours. Repeatable for maximum 8 hours credit. | | Course Title: | Undergraduate Research Thesis (or Final Project) | Course
Description: | Faculty-supervised independent or collaborative inquiry into
fundamental and applied problems within a discipline that
requires
students to gather, analyze, synthesize, and interpret data.
Students will write or produce a thesis or other professional
capstone product, such as a report or portfolio that describes
their systematic and in-depth inquiry. | | Athena Title: | Undergraduate Thesis | | Nontraditional Format: | This is a capstone course under the direct supervision of a
faculty member. This course may be the culmination of the
4960R-
4980R sequence. Students will write a thesis or other
professional capstone product, such as a report or portfolio,
that describes their systematic and in-depth inquiry into an
unknown, fundamental, or applied problem. The thesis or
capstone
product is written in close collaboration with the faculty
member and must be approved by that faculty member and/or the
department. The student will apply understanding of the
discipline to identify or shape the research question and
apply
skills and techniques learned to complete the research
project.
The student will have gathered data, synthesized relevant
literature and materials, analyzed, and interpreted data. The
student will demonstrate in writing the contribution of their
work to the discovery and interpretation of knowledge
significant to their field of study. The student will have
presented results in the form of a properly formatted,
professionally rigorous thesis document or other appropriate
professional capstone product and through the formal
presentation of the thesis or product to faculty and peers
during an approved event. The student will receive feedback
from
the faculty member on the overall execution of their thesis
project, the written thesis, and their presentation. | | Prerequisite: | Permission of department | Semester Course
Offered: | Offered fall, spring and summer semester every year. | | Grading System: | A-F (Traditional) |
| | | Course ID: | STAT(CSCI) 4990. 3 hours. | | Course Title: | Data Science Capstone Course | Course
Description: | Provides an exposure to advanced methods and technologies in data
science, including data acquisition, data quality, big data
management and analytics, data mining, data security and privacy,
and introduces the students to data science experience with a
real-world problem. In addition, effective oral and written
communication of technologies, methods, and results are
emphasized. | | Athena Title: | Data Science Capstone Course | | Prerequisite: | (CSCI 4360/6360 and CSCI 4370/6370) or (STAT 4220 and STAT 4230/6230) | Semester Course
Offered: | Offered spring semester every year. | | Grading System: | A-F (Traditional) |
| | | Course ID: | STAT 5010W. 3 hours. | | Course Title: | Statistical Capstone Course I | Course
Description: | Provides an exposure to advanced statistical methods, beyond
regression and analysis of variance, and introduces the
student to a data-analysis experience related to a real
scientific problem. In addition to learning and applying
statistical techniques, effective oral and written
communication of methods and results are emphasized. | | Athena Title: | Statistical Capstone Course I | | Equivalent Courses: | Not open to students with credit in STAT 5010 | | Nontraditional Format: | This version of the course will be taught as writing intensive,
which means that the course will include substantial and
ongoing writing assignments that a) relate clearly to course
learning; b) teach the communication values of a discipline—for
example, its practices of argument, evidence, credibility, and
format; and c) prepare students for further writing in their
academic work, in graduate school, and in professional life.
The written assignments will result in a significant and
diverse body of written work (the equivalent of 6000 words or
25 pages) and the instructor (and/or the teaching assistant
assigned to the course) will be closely involved in student
writing, providing opportunities for feedback and substantive
revision. | Semester Course
Offered: | Offered fall semester every year. | | Grading System: | A-F (Traditional) |
| | | Course ID: | STAT 5010. 3 hours. | | Course Title: | Statistical Capstone Course I | Course
Description: | Provides undergraduate statistics majors with an exposure to
advanced statistical methods, beyond regression and analysis of
variance, and introduces the student to a data-analysis
experience related to a real scientific problem. In addition to
learning and applying statistical techniques, effective oral and
written communication of methods and results are emphasized. | | Athena Title: | Statistical Capstone Course I | | Equivalent Courses: | Not open to students with credit in STAT 5010W | | Prerequisite: | STAT 4230/6230 and (STAT 4355/6355 or STAT 4365/6365) | Semester Course
Offered: | Offered fall semester every year. | | Grading System: | A-F (Traditional) |
| | | Course ID: | STAT 5020. 3 hours. | | Course Title: | Statistical Capstone Course II | Course
Description: | Provides students with an exposure to advanced statistical
methods, beyond regression and analysis of variance, and
introduces the student to a data-analysis experience related to
a real scientific problem. In addition to learning and applying
statistical techniques, effective oral and written
communication of methods and results are emphasized. | | Athena Title: | Statistical Capstone Course II | | Equivalent Courses: | Not open to students with credit in STAT 5020S, STAT 5020W | | Prerequisite: | (STAT 5010 or STAT 5010W) and (MATH 3000 or MATH 3300) | Semester Course
Offered: | Offered spring semester every year. | | Grading System: | A-F (Traditional) |
| | | Course ID: | STAT 5020W. 3 hours. | | Course Title: | Statistical Capstone Course II | Course
Description: | Provides an exposure to advanced statistical methods, beyond
regression and analysis of variance, and introduces the
student to a data-analysis experience related to a real
scientific problem. In addition to learning and applying
statistical techniques, effective oral and written
communication of methods and results are emphasized. | | Athena Title: | Statistical Capstone Course II | | Equivalent Courses: | Not open to students with credit in STAT 5020, STAT 5020S | | Nontraditional Format: | This version of the course will be taught as writing intensive,
which means that the course will include substantial and
ongoing writing assignments that a) relate clearly to course
learning; b) teach the communication values of a discipline—for
example, its practices of argument, evidence, credibility, and
format; and c) prepare students for further writing in their
academic work, in graduate school, and in professional life.
The written assignments will result in a significant and
diverse body of written work (the equivalent of 6000 words or
25 pages) and the instructor (and/or the teaching assistant
assigned to the course) will be closely involved in student
writing, providing opportunities for feedback and substantive
revision. | | Prerequisite: | STAT 5010 or STAT 5010W and (MATH 3000 or MATH 3300) | Semester Course
Offered: | Offered spring semester every year. | | Grading System: | A-F (Traditional) |
| | | Course ID: | STAT 5020S. 3 hours. | | Course Title: | Writing Intensive Statistical Capstone Course II | Course
Description: | Provides students with an exposure to advanced statistical
methods, beyond regression and analysis of variance, and
introduces the student to a data-analysis experience related to a
real scientific problem. In addition to learning and applying
statistical techniques, effective oral and written communication
of methods and results are emphasized. | | Athena Title: | Writing Intensive Stat Caps II | | Equivalent Courses: | Not open to students with credit in STAT 5020, STAT 5020W | | Nontraditional Format: | This version of the course will be taught as writing intensive, which means that the course will include substantial and ongoing writing assignments that a) relate clearly to course learning; b) teach the communication values of a discipline—for example, its practices of argument, evidence, credibility, and format; and c) prepare students for further writing in their academic work, in graduate school, and in professional life. The written assignments will result in a significant and diverse body of written work (the equivalent of 6000 words or 25 pages) and the instructor (and/or the teaching assistant assigned to the course) will be closely involved in student writing, providing opportunities for feedback and substantive revision. | Semester Course
Offered: | Offered spring semester every year. | | Grading System: | A-F (Traditional) |
| | | Course ID: | STAT 5700/7700. 3-15 hours. Repeatable for maximum 15 hours credit. | | Course Title: | Internship in Statistics | Course
Description: | Supervised practicum in a government agency or industry site. | | Athena Title: | STAT INTERNSHIP | | Nontraditional Format: | Students work within a statistics group under the direction of the group leader at the government or industry site. A report of the statistical consulting activity undertaken is submitted to the directing faculty member. | Semester Course
Offered: | Offered fall, spring and summer semester every year. | | Grading System: | S/U (Satisfactory/Unsatisfactory) |
| | | Course ID: | STAT 6210. 3 hours. | | Course Title: | Introduction to Statistical Methods I | Course
Description: | First course on statistics emphasizing applications in social,
behavioral sciences. Covers elementary topics, one and two
sample inference, simple linear regression, some categorical
data analysis. Uses point-and-click statistical software.
Provides preparation for Introduction to Statistical Methods II. | | Athena Title: | Intro to Statistical Methods I | | Equivalent Courses: | Not open to students with credit in STAT 6210E, STAT 6310, STAT 6315, STAT 6315E | Semester Course
Offered: | Offered fall, spring and summer semester every year. | | Grading System: | A-F (Traditional) |
| | | Course ID: | STAT 6210E. 3 hours. | | Course Title: | Introduction to Statistical Methods I | Course
Description: | First course on statistics emphasizing applications in social and behavioral sciences. Covers elementary topics, one and two
sample inference, simple linear regression, and some categorical data analysis. Uses point-and-click statistical software.
Provides preparation for Introduction to Statistical Methods II. | | Athena Title: | Intro to Statistical Methods I | | Equivalent Courses: | Not open to students with credit in STAT 6210, STAT 6310, STAT 6315, STAT 6315E | | Nontraditional Format: | This course will be taught 95% or more online. | Semester Course
Offered: | Offered summer semester every year. | | Grading System: | A-F (Traditional) |
| | | Course ID: | STAT 6220. 3 hours. | | Course Title: | Introduction to Statistical Methods II | Course
Description: | A continuation of Introduction to Statistical Methods I.
Introduces additional statistical methods not covered in the
first course. Emphasizes applications in the social and
behavioral sciences. Topics include inference for categorical
variables, multiple regression, logistic regression, one-way
ANOVA, two-way ANOVA, ANCOVA, and nonparametric methods. Uses
point-and-click statistical software. | | Athena Title: | Intro to Statistical Method II | | Prerequisite: | STAT 6210 | Semester Course
Offered: | Offered fall, spring and summer semester every year. | | Grading System: | A-F (Traditional) |
| | | Course ID: | STAT 6310. 3 hours. | | Course Title: | Statistical Analysis I | Course
Description: | Basic statistical analysis for students in quantitative
disciplines other than statistics. Topics include principles of
sampling and descriptive statistics, elementary probability and
probability distributions, discrete and continuous random
variables, normal distribution, sampling distributions,
statistical inference for one and two samples, simple linear
regression, basic nonparametrics, and chi-squared tests. | | Athena Title: | Statistical Analysis I | | Equivalent Courses: | Not open to students with credit in STAT 6210, STAT 6210E, STAT 6315, STAT 6315E | Semester Course
Offered: | Not offered on a regular basis. | | Grading System: | A-F (Traditional) |
| | | Course ID: | STAT 6320. 3 hours. | | Course Title: | Statistical Analysis II | Course
Description: | Linear regression, analysis of variance, and related
methodology for students in quantitative disciplines other than
statistics. Topics include multiple regression; associated
estimation and inference methods; model building, selection,
and diagnostics; the analysis of variance; completely
randomized and block designs; the analysis of covariance, and
relevant statistical computing packages. | | Athena Title: | Statistical Analysis II | | Prerequisite: | STAT 6310 or permission of department | Semester Course
Offered: | Not offered on a regular basis. | | Grading System: | A-F (Traditional) |
| | | Course ID: | STAT 6420. 3 hours. | | Course Title: | Applied Linear Models | Course
Description: | Introduction to data analysis via linear models. Regression topics include estimation, inference, variable selection, diagnostics, remediation, and Ridge and Lasso regression. Course covers basic design of experiments and an introduction to generalized linear models. Matrix formulations are used. Data analysis in R and Python and effective written communication are emphasized. | | Athena Title: | Applied Linear Models | | Prerequisite: | Permission of department | Semester Course
Offered: | Offered fall semester every year. | | Grading System: | A-F (Traditional) |
| | | Course ID: | STAT 6430. 3 hours. | | Course Title: | Design and Analysis of Experiments | Course
Description: | Theory and methods for constructing and analyzing designed experiments are considered. Basic concepts in the design of experiments, ANOVA, completely randomized designs, complete and incomplete block designs, cross-over designs, factorial designs, split-plot experiments, non-regular designs, designs for generalized linear models, online experiments, global optimization, computer experiments, and space-filling designs will be covered. | | Athena Title: | Design Analysis Experiments | | Prerequisite: | STAT 6420 or permission of department | Semester Course
Offered: | Offered spring semester every year. | | Grading System: | A-F (Traditional) |
| | | Course ID: | STAT 6810. 3 hours. | | Course Title: | Probability Distributions | Course
Description: | Builds the foundation in probability distribution theory that
is necessary to learn statistical inference. Emphasizes
mathematical rigor and includes topics such as probability
laws; random variables and probability distributions; joint,
marginal and conditional distributions; expectation and
conditional expectation; transformations; and properties of a
random sample. | | Athena Title: | PROBABILITY DIST | | Prerequisite: | STAT 4520/6520 or permission of department | Semester Course
Offered: | Offered fall semester every year. | | Grading System: | A-F (Traditional) |
| | | Course ID: | STAT 6820. 3 hours. | | Course Title: | Statistical Inference | Course
Description: | The principles and theory behind statistical inference. It
provides justification for many statistical procedures
routinely used in practice and discusses principles and theory
that can be used to develop reasonable solutions to new
statistical problems. | | Athena Title: | STATISTICAL INFER | | Prerequisite: | STAT 6810 | Semester Course
Offered: | Offered spring semester every year. | | Grading System: | A-F (Traditional) |
| | | Course ID: | STAT 7000. 1-9 hours. Repeatable for maximum 24 hours credit. | | Course Title: | Master's Research | Course
Description: | Research while enrolled for a master's degree under the direction of faculty members. | | Athena Title: | MASTER'S RESEARCH | | Nontraditional Format: | Independent research under the direction of a faculty member. | | Prerequisite: | Permission of department | Semester Course
Offered: | Offered fall, spring and summer semester every year. | | Grading System: | S/U (Satisfactory/Unsatisfactory) |
| | | Course ID: | STAT 7300. 1-9 hours. Repeatable for maximum 18 hours credit. | | Course Title: | Master's Thesis | Course
Description: | Thesis writing under the direction of the major professor. | | Athena Title: | MASTER'S THESIS | | Nontraditional Format: | Independent research and thesis preparation. | | Prerequisite: | Permission of department | Semester Course
Offered: | Offered fall, spring and summer semester every year. | | Grading System: | S/U (Satisfactory/Unsatisfactory) |
| | | Course ID: | STAT 7770. 1-5 hours. Repeatable for maximum 60 hours credit. | | Course Title: | Graduate Assistantship Teaching in Statistics | Course
Description: | Provides graduate teaching assistants with knowledge of pedagogical approaches and available support systems for teaching statistics courses. Special sections are reserved for international students, with focus on use of language, pedagogy, and cultural aspects of teaching in this country. | | Athena Title: | TEACHING IN STAT | | Prerequisite: | Permission of department | Semester Course
Offered: | Offered fall semester every year. | | Grading System: | A-F (Traditional) |
| | | Course ID: | STAT 8000. 3 hours. | | Course Title: | Introductory Statistical Collaboration | Course
Description: | Teaches students the communication skills necessary to
successfully collaborate with non-statisticians in an
interdisciplinary setting. Students will learn methods for
conducting successful interactions with non-statisticians and
will have opportunities to practice written and oral
communication skills related to the application of statistics in
other fields. | | Athena Title: | Intro Stat Collaboration | | Prerequisite: | STAT 6420 | Semester Course
Offered: | Offered spring and summer semester every year. | | Grading System: | A-F (Traditional) |
| | | Course ID: | STAT 8001. 3 hours. | | Course Title: | Advanced Statistical Collaboration | Course
Description: | Students will be matched with an active UGA researcher and be
responsible for all aspects of a collaborative project with this
researcher. In-class instruction will be provided to students on
project management, presentation, and writing. Students will
regularly present their progress, and the current literature on
statistical consulting will be reviewed. | | Athena Title: | Adv Statistical Collaboration | | Prerequisite: | STAT 8000 | Semester Course
Offered: | Offered fall semester every year. | | Grading System: | A-F (Traditional) |
| | | Course ID: | STAT 8040. 3 hours. | | Course Title: | Environmental Statistics | Course
Description: | Methods for sampling the environment and analysis of
environmental data are considered. Techniques are presented for
estimation, hypothesis testing, and regression when data are
non-normal and/or dependent. Statistical methods based on
generalized linear models, linear mixed models, time series
analysis, and spatial data analysis are surveyed from an applied
perspective. | | Athena Title: | ENVIRON STATIST | | Prerequisite: | STAT 6220 or STAT 4230/6230 or STAT 6315 or STAT 6320 or STAT 6420 or permission of department | Semester Course
Offered: | Offered fall semester every even-numbered year. | | Grading System: | A-F (Traditional) |
| | | Course ID: | BIOS(STAT) 8050. 3 hours. | | Course Title: | Intermediate Mathematical Statistics | Course
Description: | Calculus-based introduction to probability and mathematical
statistics for students in Biostatistics, Epidemiology and other
fields requiring a technical understanding of statistical
inference. Random variables, expectation, laws of large numbers
and central limit theorem. Point estimation, confidence
intervals, and hypothesis testing for statistical models with
public health and biomedical applications. | | Athena Title: | INTERMED MATH STAT | | Prerequisite: | MATH 2410 | Semester Course
Offered: | Offered spring semester every year. | | Grading System: | A-F (Traditional) |
| | | Course ID: | STAT 8060. 3 hours. | | Course Title: | Statistical Computing I | Course
Description: | Tools and methods of statistical computing beginning with
mathematical and computational underpinnings of statistical
computation and progressing through Monte Carlo simulation,
numerical linear algebra, optimization, numerical differentiation
and integration, and simulation-based statistical algorithms.
Students will learn methods, theory, and implementation via
existing functions and their own code. | | Athena Title: | Statistical Computing I | | Prerequisite: | (STAT 4510/6510 or STAT 6810) and STAT 6420 | Semester Course
Offered: | Offered fall semester every year. | | Grading System: | A-F (Traditional) |
| | | Course ID: | STAT 8070. 3 hours. | | Course Title: | Statistical Computing II | Course
Description: | Continuation of Statistical Computing I. Advanced statistical
computing techniques will be covered. Topics may include advanced
MCMC methods, Expectation-Maximization methods, machine-learning
algorithms, constrained optimization, density estimation,
nonparametric regression perfect sampling, data visualization, and
parallel computing. Students will learn methods, theory, and
implementation via existing functions and their own code. | | Athena Title: | Statistical Computing II | | Prerequisite: | STAT 8060 | Semester Course
Offered: | Offered spring semester every even-numbered year. | | Grading System: | A-F (Traditional) |
| | | Course ID: | STAT 8090. 3 hours. | | Course Title: | Statistical Analysis of Genetic Data | Course
Description: | Methods for analysis of genetic data, with an emphasis on gene
mapping. Topics include quantitative genetics, covariance
between relatives, estimation of genetic parameters, detection
of genetic linkage in crosses and natural populations,
association mapping, and QTL mapping. Emphasis on fitting
models, estimating parameters, and making inferences based on
genetic data. | | Athena Title: | STATIST GENETICS | | Prerequisite: | (STAT 6220 or STAT 4230/6230 or STAT 6315 or STAT 6320 or STAT 6420) and STAT 4510/6510 | Semester Course
Offered: | Offered spring semester every even-numbered year. | | Grading System: | A-F (Traditional) |
| | | Course ID: | BIOS(STAT) 8140. 3 hours. | | Course Title: | Multilevel and Hierarchical Models | Course
Description: | Multilevel and hierarchical models for social and biological
sciences. Empirical Bayes, James-Stein, maximum likelihood, and
Bayesian estimation of model parameters. Interpreting and
diagnosing multilevel models, model building, and uncertainty
assessment. | | Athena Title: | MULTILEVEL MODELS | | Prerequisite: | BIOS 7020 or STAT 6220 or STAT 6320 | Semester Course
Offered: | Offered fall semester every year. | | Grading System: | A-F (Traditional) |
| | | Course ID: | STAT 8170. 3 hours. | | Course Title: | Probability Theory I | Course
Description: | Measurable spaces and measures, Lebesgue-Stieljes measure, independence, almost sure and in probability convergence, integration in probability spaces, product measures, absolute continuity of measures, weak law of large numbers, strong law of large numbers, weak convergence. | | Athena Title: | PROBABILITY I | | Prerequisite: | STAT 6820 or permission of department | Semester Course
Offered: | Offered fall semester every year. | | Grading System: | A-F (Traditional) |
| | | Course ID: | STAT 8200. 3 hours. | | Course Title: | Design of Experiments for Research Workers | Course
Description: | Methods for constructing and analyzing designed experiments are considered. Concepts of experimental unit, randomization, blocking, replication, and orthogonal contrasts are introduced. Designs include completely randomized design, randomized complete block design, Latin squares design, split-plot design, repeated measures design, and factorial and fractional factorial designs. | | Athena Title: | EXPER DESIGNS | | Equivalent Courses: | Not open to students with credit in STAT 6430 | | Prerequisite: | STAT 6220 or STAT 4230/6230 or STAT 6320 or STAT 6420 or STAT 6315 | Semester Course
Offered: | Offered fall, spring and summer semester every year. | | Grading System: | A-F (Traditional) |
| | | Course ID: | STAT 8210. 3 hours. | | Course Title: | Multivariate: Theory and Methods | Course
Description: | An introduction to the theory and methodology of multivariate
statistics for students with training in linear models and
mathematical statistics. Topics include the multivariate normal
distribution, one and two population inference on population
mean vectors, MANOVA, principal component analysis, factor
analysis, discrimination, classification, and canonical
correlation. | | Athena Title: | Multivariate Theory and Method | | Equivalent Courses: | Not open to students with credit in STAT 4250, STAT 6250, BIOS 8530, HPRB 8530 | | Prerequisite: | STAT 6420 and STAT 4520/6520 | Semester Course
Offered: | Offered spring semester every year. | | Grading System: | A-F (Traditional) |
| | | Course ID: | BIOS(STAT) 8220. 3 hours. | | Course Title: | Clinical Trials | Course
Description: | Drug development and FDA approval procedures; randomization;
blindness; phase I-IV clinical trials; multicenter trials;
bioequivalency; sample size determination; design and analysis;
cross-over design; repeated measurements design; survival
analysis; meta analysis. | | Athena Title: | CLINICAL TRIALS | | Prerequisite: | STAT 6320 or STAT 6420 or BIOS 7020 | Semester Course
Offered: | Offered fall semester every year. | | Grading System: | A-F (Traditional) |
| | | Course ID: | STAT 8230. 3 hours. | | Course Title: | Applied Nonlinear Regression | Course
Description: | Statistical modeling using nonlinear regression is considered. Topics include fixed-effects nonlinear regression models, nonlinear least squares, computational methods and practical matters, growth models, and compartmental models. Nonlinear mixed-effects models are discussed, including model interpretation, estimation and inference. Examples will be drawn from forestry, pharmaceutical sciences, and other fields. | | Athena Title: | APPL NONLINEAR REG | | Prerequisite: | STAT 4230/6230 or STAT 6320 or STAT 6420 or permission of department | Semester Course
Offered: | Offered fall semester every odd-numbered year. | | Grading System: | A-F (Traditional) |
| | | Course ID: | STAT 8240. 3 hours. | | Course Title: | Sampling and Related Topics | Course
Description: | Recent development in model-based estimation in survey sampling. A super population approach to inference on finite population quantities will be taken. Both Bayesian and classical approaches to sampling and related applications including small area estimation will be emphasized. | | Athena Title: | SAMPLING | | Prerequisite: | (STAT 6240 and STAT 6820 and STAT 8260) or permission of department | Semester Course
Offered: | Not offered on a regular basis. | | Grading System: | A-F (Traditional) |
| | | Course ID: | STAT 8250. 3 hours. | | Course Title: | Multivariate Methods | Course
Description: | An introduction to the methodology of multivariate statistics
for quantitatively-oriented students from various disciplines
who have training in regression and analysis of variance.
Topics include the multivariate normal distribution, one and
two population inference on population mean vectors, MANOVA,
principal component analysis, factor analysis, discrimination,
classification, and canonical correlation. | | Athena Title: | Multivariate Methods | | Prerequisite: | STAT 4230/6230 or STAT 8200 or permission of department | Semester Course
Offered: | Not offered on a regular basis. | | Grading System: | A-F (Traditional) |
| | | Course ID: | STAT 8260. 3 hours. | | Course Title: | Theory of Linear Models | Course
Description: | Theory of the linear model is studied. Topics include a review
of linear algebra; distribution theory; full and non-full rank
linear models; ordinary and generalized least squares; maximum
and restricted maximum likelihood estimation; prediction,
inference, estimability, analysis of variance, restricted
models, reparameterization, and mixed-effect models. | | Athena Title: | Theory of Linear Models | | Prerequisite: | STAT 6420 or permission of department | | Pre or Corequisite: | STAT 6820 or STAT 4520/6520 | Semester Course
Offered: | Offered spring semester every year. | | Grading System: | A-F (Traditional) |
| | | Course ID: | STAT 8270. 3 hours. | | Course Title: | Spatial Statistics | Course
Description: | Models and theories in spatial data, including geostatistics,
lattice data, spatial point patterns, and space-time data. The
course will focus on random field theory, various spatial
regression models, model fitting, inferences and spatial
prediction, with applications to agriculture, environmental
sciences, forestry, and public health. | | Athena Title: | SPATIAL STATISTICS | | Prerequisite: | STAT 4520/6520 and STAT 8260 | Semester Course
Offered: | Offered spring semester every odd-numbered year. | | Grading System: | A-F (Traditional) |
| | | Course ID: | STAT 8280. 3 hours. | | Course Title: | Time Series Analysis | Course
Description: | Advanced topics in time series analysis and forecasting. Linear
and nonlinear time series will be discussed. Topics include
stationary processes, autocorrelation functions, various
univariate time series models, forecasting, and multivariate
time series. The focus is mostly on theoretical topics, but
some applications are covered. | | Athena Title: | TIME SERIES | | Prerequisite: | STAT 6820 or STAT 8260 | Semester Course
Offered: | Offered spring semester every odd-numbered year. | | Grading System: | A-F (Traditional) |
| | | Course ID: | STAT 8290. 3 hours. | | Course Title: | Advances in Experimental Designs | Course
Description: | Covers state-of-the-art knowledge on selected topics such as factorial experiments, fractional factorials, incomplete block designs, orthogonal arrays, crossover designs, response surface methodology, mixture experiments, optimal design theory for linear and nonlinear models, and design construction techniques. Computer experiments and associated space-filling designs will be covered. | | Athena Title: | Adv in Experimental Desig | | Prerequisite: | STAT 8260 and STAT 6430 | Semester Course
Offered: | Offered spring semester every odd-numbered year. | | Grading System: | A-F (Traditional) |
| | | Course ID: | STAT 8300. 3 hours. | | Course Title: | Multivariate Analysis | Course
Description: | Selected topics in the theory of multivariate analysis at an advanced level. | | Athena Title: | Multivariate Analysis | | Prerequisite: | STAT 6820 and STAT 8210 | Semester Course
Offered: | Not offered on a regular basis. | | Grading System: | A-F (Traditional) |
| | | Course ID: | STAT 8330. 3 hours. | | Course Title: | Advanced Statistical Applications and Computing | Course
Description: | Advanced programming and implementation of modern statistical
techniques using statistical software such as R. Topics include
Monte Carlo simulations, resampling techniques, penalized
regression, generalized linear models, robust methods, nonlinear
regression, multiple testing adjustment, and smoothing
techniques. | | Athena Title: | Adv Stat App and Comp | | Prerequisite: | [(STAT 6420 and (STAT 4360/6360 or STAT 4360E/6360E)] or permission of department | Semester Course
Offered: | Offered fall semester every year. | | Grading System: | A-F (Traditional) |
| | | Course ID: | STAT 8350. 3 hours. | | Course Title: | Bayesian Statistical Methodology with Applications | Course
Description: | The theory and methodology of Bayesian statistical inference.
Training in statistical modeling and data analysis under the
Bayesian paradigm. | | Athena Title: | Bayesian Stat Method with App | | Prerequisite: | STAT 6820 and STAT 8260 and STAT 8060 | Semester Course
Offered: | Offered spring semester every year. | | Grading System: | A-F (Traditional) |
| | | Course ID: | STAT 8440. 3 hours. | | Course Title: | Statistical Inference for Bioinformatics | Course
Description: | Course focuses on stochastic models in bioinformatics, including Hidden Markov models, continuous-time Markov chain (Poisson process, birth and death process, coalescent process) and their applications in sequence alignment, genome assembly, gene prediction, and phylogenetic tree reconstruction. Hands-on experience using innovative bioinformatics software for alignment, gene prediction, phylogenetic tree reconstruction, and network building. | | Athena Title: | Stat Inference Bioinformatics | | Prerequisite: | STAT 6220 or STAT 6315 or STAT 6315E or BINF 8441E | Semester Course
Offered: | Offered fall semester every even-numbered year. | | Grading System: | A-F (Traditional) |
| | | Course ID: | STAT 8460. 3 hours. | | Course Title: | Advanced Computational Biology and Bioinformatics | Course
Description: | Development of computational methods to infer biological
information from data, including DNA sequences, gene expression
levels, epigenome, and microbiome data. Students will read
research articles ranging from statistics to biology and conduct
extensive data analysis. Focus on raw data processing as well as
statistical learning methods for downstream analysis. | | Athena Title: | Adv Comp Bio and Bioinformatic | | Prerequisite: | STAT 8210 | Semester Course
Offered: | Offered spring semester every odd-numbered year. | | Grading System: | A-F (Traditional) |
| | | Course ID: | STAT 8470. 3 hours. | | Course Title: | Advanced Network Data Analysis and Graphical Models | Course
Description: | Network structures are increasingly common across the sciences, such as brain connectivity, gene-gene interaction, protein-protein interaction, and the spread of diseases. This course will introduce state-of-the-art concepts and algorithms concerning networks in statistics and machine learning. Students will read the latest research articles on novel theories, algorithms, and applications. | | Athena Title: | Adv Net Data Graph Model | | Prerequisite: | [STAT 6420 and (STAT 4510/6510 or STAT 6810)] or permission of department | Semester Course
Offered: | Offered fall and spring semester every even-numbered year. | | Grading System: | A-F (Traditional) |
| | | Course ID: | STAT 8530. 3 hours. | | Course Title: | Advanced Statistical Inference I | Course
Description: | The theory of statistical inference is presented at an advanced
level, including both frequentist and Bayesian perspectives.
This course provides justification of many statistical
procedures routinely used in good practice of statistics and
discusses principles and theory that can be used to derive
reasonable solutions to new statistical problems. | | Athena Title: | ADV STAT INFER I | | Prerequisite: | STAT 6820 | | Pre or Corequisite: | STAT 8170 | Semester Course
Offered: | Offered spring semester every year. | | Grading System: | A-F (Traditional) |
| | | Course ID: | STAT 8540. 3 hours. | | Course Title: | Advanced Statistical Inference II | Course
Description: | This is a course on large sample statistical methods. In many
situations exact properties of statistical procedures used are
not known and hence large sample approximations have to be made.
This course is concerned with asymptotic methods which can be
used to study tests and estimators based on large samples. | | Athena Title: | ADV STAT INFER II | | Prerequisite: | STAT 8530 | Semester Course
Offered: | Offered fall semester every odd-numbered year. | | Grading System: | A-F (Traditional) |
| | | Course ID: | STAT 8560. 3 hours. | | Course Title: | Advanced Theory of Nonparametric Statistics | Course
Description: | Nonparametric estimation and hypothesis testing, relative efficiency, exchangeable random variables, ranking and distribution free statistics, generalized U-Statistics, generalized linear rank statistics, limiting distributions of certain nonparametric statistics, density estimation and related topics. | | Athena Title: | ADV NONPARAMETRICS | | Prerequisite: | STAT 8540 | Semester Course
Offered: | Not offered on a regular basis. | | Grading System: | A-F (Traditional) |
| | | Course ID: | STAT 8620. 3 hours. | | Course Title: | Categorical Data Analysis and Generalized Linear Models | Course
Description: | Categorical data analysis and generalized linear models
beginning with contingency tables and their analysis. Theory of
generalized linear models will then be presented, followed by
more detailed and application-oriented discussions of special
cases, including logistic, log-linear models, and multinomial
response models. Overdispersion is also discussed. | | Athena Title: | CAT DATA & GLMS | | Prerequisite: | STAT 8260 and (STAT 4520/6520 or STAT 6820) | Semester Course
Offered: | Offered fall semester every year. | | Grading System: | A-F (Traditional) |
| | | Course ID: | STAT 8630. 3 hours. | | Course Title: | Mixed-Effect Models and Longitudinal Data Analysis | Course
Description: | Extensions of classical and generalized linear models with
emphasis on longitudinal data analysis. Course will focus on
linear mixed models, and marginal and mixed-effect versions of
generalized linear models for longitudinal discrete data.
Emphasis will be placed on the application of these models to
analyze real data. | | Athena Title: | LONG DATA ANALYSIS | | Prerequisite: | STAT 8260 | | Pre or Corequisite: | STAT 8620 | Semester Course
Offered: | Offered spring semester every odd-numbered year. | | Grading System: | A-F (Traditional) |
| | | Course ID: | STAT 8700. 3 hours. | | Course Title: | Stochastic Processes | Course
Description: | Discrete time Markov chains, continuous time Markov chains, queueing processes, renewal processes, Markov random fields, point processes, Brownian motion and diffusion. | | Athena Title: | STOCHAST PROCESSES | | Prerequisite: | STAT 8170 | Semester Course
Offered: | Offered fall semester every odd-numbered year. | | Grading System: | A-F (Traditional) |
| | | Course ID: | STAT 8900. 3 hours. Repeatable for maximum 27 hours credit. | | Course Title: | Special Topics in Statistics | Course
Description: | Selected topics concerning recent developments in statistics. | | Athena Title: | TOPICS IN STAT | | Prerequisite: | Permission of department | Semester Course
Offered: | Offered fall, spring and summer semester every year. | | Grading System: | A-F (Traditional) |
| | | Course ID: | STAT 8910. 1-3 hours. Repeatable for maximum 18 hours credit. | | Course Title: | Statistical Seminar | Course
Description: | Students will learn about current research topics in statistics.
Students will attend departmental colloquia and other
presentations concerning research. In addition, students will
meet with individual faculty members to discuss their current
research activities and open problems in statistics. | | Athena Title: | STAT SEMINAR | | Nontraditional Format: | None. | | Prerequisite: | Permission of department | Semester Course
Offered: | Offered fall and spring semester every year. | | Grading System: | S/U (Satisfactory/Unsatisfactory) |
| | | Course ID: | STAT 8920. 2 hours. | | Course Title: | Statistical Research and Professional Practice I | Course
Description: | Provides training in some of the skills, tools, and resources
essential for conducting statistical research and for
professional practice. Students will learn materials and methods
for conducting statistical research as well as written and oral
skills for communicating research. The course will also cover
professional ethics for the statistician. | | Athena Title: | Stat Research and Prof Pract I | | Prerequisite: | Permission of department | Semester Course
Offered: | Offered fall semester every year. | | Grading System: | A-F (Traditional) |
| | | Course ID: | STAT 8930. 2 hours. | | Course Title: | Statistical Research and Professional Practice II | Course
Description: | A continuation of Statistical Research and Professional
Practice I and provides training in the skills, tools, and
resources essential for conducting statistical research and for
being a successful practicing statistician. Students will
review statistical literature, formulate research and applied
problems in statistical terms, and develop writing and oral
presentation skills. | | Athena Title: | STAT RSRC & PRAC II | | Prerequisite: | STAT 8920 | Semester Course
Offered: | Offered spring semester every year. | | Grading System: | A-F (Traditional) |
| | | Course ID: | STAT 9000. 1-12 hours. Repeatable for maximum 84 hours credit. | | Course Title: | Doctoral Research | Course
Description: | Research while enrolled for a doctoral degree under the direction of faculty members. | | Athena Title: | Doctoral Research | | Nontraditional Format: | Independent research under the direction of a faculty member. | | Prerequisite: | Permission of department | Semester Course
Offered: | Offered fall, spring and summer semester every year. | | Grading System: | S/U (Satisfactory/Unsatisfactory) |
| | | Course ID: | STAT 9300. 1-12 hours. Repeatable for maximum 65 hours credit. | | Course Title: | Doctoral Dissertation | Course
Description: | Dissertation writing under the direction of the major professor. | | Athena Title: | Doctoral Dissertation | | Nontraditional Format: | Independent research and preparation of the doctoral dissertation. | | Prerequisite: | Permission of department | Semester Course
Offered: | Offered fall, spring and summer semester every year. | | Grading System: | S/U (Satisfactory/Unsatisfactory) |
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