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Special Education |
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SPED 6810 - Seminar in Special Education
1-3 credits
This course provides a focused study of selected topics.
Repeatable for credit.
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SPED 6900 - Independent Study
1-3 credits
This course allows undergraduate students to pursue personal research interests by formalizing an independent project under the guidance of a professor or faculty mentor.
Prerequisite/Restriction: Instructor permission
Repeatable for credit
Pass/Fail only
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SPED 6910 - Independent Research
1-3 credits
This course allows undergraduate students to pursue personal research interests by formalizing an independent project under the guidance of a professor or faculty mentor.
Prerequisite/Restriction: Instructor permission
Repeatable for credit
Pass/Fail only
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SPED 6930 - Internship in Special Education
2-10 credits
Professional and supervised intern experience for master’s program.
Prerequisite/Restriction: Instructor permission
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SPED 6960 - Creative Project
1-6 credits
Culminating experience of MEd program.
Prerequisite/Restriction: Proposal approval by supervisory committee
Repeatable for credit.
Pass/Fail only.
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SPED 6970 - Thesis
1-9 credits
Culminating experience of MS program.
Prerequisite/Restriction: Proposal approval by supervisory committee
Repeatable for credit.
Pass/Fail only.
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SPED 6990 - Continuing Graduate Advisement
1-8 credits
This course provides graduate students with continued support and advisement. It is usually taken following completion of all coursework required for the degree.
Repeatable for credit.
Pass/Fail only.
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SPED 7040 - Literature Review
1 credit
Guided experience in conducting a comprehensive and systematic review of literature on a topic related to special education.
Pass/Fail only.
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SPED 7050 - Internship in Program Evaluation
1-5 credits
Guided experience in evaluation of educational programs in schools, treatment centers, homes, and communities.
Prerequisite/Restriction: Instructor permission
Repeatable for credit.
Pass/Fail only.
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SPED 7060 - Research Internship
1 credit
Guided experience in conducting educational research.
Prerequisite/Restriction: Instructor permission
Repeatable for credit.
Pass/Fail only.
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SPED 7070 - SPED Grant Writing Internship
1-3 credits
Guided experience in preparation of grant proposals.
Prerequisite/Restriction: Instructor permission
Repeatable for credit.
Pass/Fail only.
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SPED 7080 - Writing for Publication
1-3 credits
In-depth individualized experience in which the student chooses a topic area, then writes a scholarly manuscript which is submitted for publication in a peer-reviewed academic journal.
Pass/Fail only.
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SPED 7090 - Conference Presentation
1-3 credits
Individualized, supervised experience in which the student identifies an important topic and appropriate conference, and then makes a professional conference presentation.
Pass/Fail only.
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SPED 7330 - Supervision Internship
1-5 credits
Guided experience in supervising undergraduate and master’s students during practica, student teaching, and other field experiences.
Repeatable for credit.
Pass/Fail only.
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SPED 7340 - College Teaching Internship
1-3 credits
Guided experience in teaching university courses.
Repeatable for credit.
Pass/Fail only.
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SPED 7400 - Cultural and Linguistic Diversity and Disability
3 credits
Surveys major issues, topics, and perspectives related to the intersection of cultural/linguistic diversity and disability.
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SPED 7420 - Evidence-Based Practice
3 credits
This course provides students with information about Evidence-Based Practice (EBP) and its implementation in various disciplines. Students study the purposes, definitions, history, components, and implications of EBP for research, personnel preparation, and service delivery.
Prerequisite/Restriction: Doctoral standing
This listing includes updates which are effective beginning Spring 2022.
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SPED 7430 - Educational Neuroscience
3 credits
This doctoral seminar focuses on the theoretical, conceptual, and methodological issues involved in translational and educational neuroscience. Through readings and projects, students explore ways to apply principles of behavioral and cognitive neuroscience to problems in disability-related disciplines.
Corequisite: Doctoral standing
This listing includes updates which are effective beginning Spring 2022.
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SPED 7500 - Leadership Education in Disabilities
1-3 credits
Workshop on current interdisciplinary issues and topics in special education and related fields.
Repeatable for credit.
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SPED 7700 - Single-Subject Research Methods and Designs
3 credits
Examines single-subject research methods for applied research, including measurement, design, and analysis issues.
Prerequisite/Restriction: or instructor permission
Repeatable for credit.
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SPED 7710 - Advanced Single-Subject Research Methods and Design
3 credits
Explores advanced concepts and procedures in within-subject research methods. Builds on knowledge and skills acquired in SPED 7700 regarding scientific questions, measures, research designs, data analysis, and inference. Students analyze research and design, conduct, and report a scientific study.
Prerequisite/Restriction: SPED 7700
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SPED 7720 - Advanced Applied Behavior Analysis
3 credits
Discussion of advanced topics in applied behavior analysis including: functional analysis, function-based interventions, behavioral acquisition procedures, and strategies for promoting generalization and maintenance of behavior. Specific discussion of how applied behavior analytic principles can be used in educational contexts.
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SPED 7730 - Advanced Topics in Behavior Analysis
3 credits
Discusses advanced topics and issues in behavior analysis, including generalization, higher-order learning, variability, novelty, rule-governed behavior, and private events.
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SPED 7740 - Verbal Behavior and Relational Responding
3 credits
This course explores and develops a functional analysis of language. It is based on B.F. Skinner’s book, Verbal Behavior, and integrates more recent work such as Relational Frame Theory.
Prerequisite/Restriction: Doctoral standing
This listing includes updates which are effective beginning Spring 2022.
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SPED 7750 - Social and Legal Context of Disability
3 credits
This course places the disability experience in its social and legal context by exploring models of disabilities. Key statutes and case law reflecting historical landmarks in disability law and policy will be discussed as the codification of societal values.
Cross-listed as: REH 7750
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SPED 7800 - Seminar: Issues in Special Education and Rehabilitation
1-3 credits
Critical analysis of variety of special education and rehabilitation issues and trends. Empirical and theoretical information presented in a seminar format.
Repeatable for credit.
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SPED 7810 - Research Seminar in Special Education and Rehabilitation
1-3 credits
Identification of research problems and discussion of research strategies and methods. Applications of research, data analysis, and statistical concepts.
Repeatable for credit.
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SPED 7820 - Seminar: Special Topics
1-3 credits
In-depth study of special topics in special education and rehabilitation. Seminars examine historical aspects, relevant research, and theoretical positions on selected topics.
Repeatable for credit.
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SPED 7830 - Personnel Preparation in Disability Disciplines
3 credits
Focuses on critical issues in preparing disability professionals in special education, rehabilitation counseling, speech and language, applied behavior analysis and disability studies. Includes an examination of current initiatives in clinical practice, supervision models, overall program development issues and emphasizes research and evidence-based practices.
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SPED 7840 - Preliminary Exams
1 credit
Preparation for, and successful completion of, written preliminary examinations. Students demonstrate methodological and analytical skills, as well as scientific foundations, for doctoral studies in special education or applied behavior analysis.
Pass/Fail only.
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SPED 7900 - Independent Study
1-3 credits
Prerequisite/Restriction: Instructor permission
Repeatable for credit.
Pass/Fail only.
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SPED 7910 - Independent Research
1-3 credits
Prerequisite/Restriction: Instructor permission
Repeatable for credit.
Pass/Fail only.
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SPED 7920 - Doctoral Program Professional Seminar
3 credits
Orients new students to doctoral program, utilizing five goals: (1) familiarize students with requirements of the program and of the Graduate School, (2) acquaint students with the faculty and the resources available, (3) initiate a career planning process, (4) teach students some fundamental concepts underlying scientific research, and (5) teach students to conduct literature reviews.
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SPED 7930 - Internship in Special Education
1-12 credits
Professional, supervised internship experience for doctoral students.
Prerequisite/Restriction: Instructor permission
Repeatable for credit.
Pass/Fail only.
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SPED 7940 - Journal Reading Group
1-2 credits
Seminar discussion of recent empirical and theoretical journal articles in special education and related fields.
Repeatable for credit.
Pass/Fail only.
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SPED 7970 - Dissertation
1-15 credits
Variable credit for dissertation project in connection with doctoral program in special education.
Repeatable for credit.
Pass/Fail only.
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SPED 7990 - Continuing Graduate Advisement
1-9 credits
This course provides graduate students with continued support and advisement. It is usually taken following completion of all coursework required for the degree.
Repeatable for credit.
Pass/Fail only.
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Statistics |
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STAT 1040 - Introduction to Statistics (QL)
QL Quantitative Literacy
3 credits
Descriptive and inferential statistical methods. Emphasis on conceptual understanding and statistical thinking. Examples presented from many different areas.
Prerequisite/Restriction: One of the following within the last year or three consecutive semesters (including summer): ACT Math score of 19 or higher or equivalent SAT Math score , AP Calculus AB score of at least 3, Grade of C- or better in MATH 0995 or MATH 1010 (a passing grade of P is acceptable), Grade of C- or better in MATH 1050 or MATH 1100 (a passing grade of P is acceptable), or satisfactory score on the ALEKS Math Placement Exam
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STAT 1045 - Introduction to Statistics with Elements of Algebra (QL)
QL Quantitative Literacy
5 credits
Intro to statistics with an emphasis on conceptual understanding and statistical reasoning. Foundational algebra, types of studies, summarizing data, probability, hypothesis testing. NOTE: This course does NOT meet the prerequisites for MATH 1050 .
Prerequisite/Restriction: One of the following within the last year or three consecutive semesters (including summer): ACT Math score of 16 or higher or equivalent SAT Math score , grade of C- or better in MATH 0950 (a passing grade of P is acceptable), or satisfactory score on the ALEKS Math Placement Exam
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STAT 2000 - Statistical Methods (QI)
QI Quantitative Intensive
4 credits
Introduction to statistical concepts, graphical techniques, probability, distributions, estimation, one and two sample testing, chi-square tests, and simple linear regression, one-way ANOVA.
Prerequisite/Restriction: One of the following within the last year or three consecutive semesters (including summer): ACT Math score of at least 25 or equivalent SAT Math score , grade of C- or better in MATH 1050 or MATH 1100 , or satisfactory score on the ALEKS Math Placement Exam
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STAT 2250 - Internship and Cooperative Studies
1-6 credits
Lower-division internship/cooperative work experience in statistics.
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STAT 2300 - Business Statistics (QL)
QL Quantitative Literacy
4 credits
Descriptive and inferential statistics, probability, sampling, estimation, tests of hypotheses, linear regression and correlation, chi-square tests, analysis of variance, and multiple regression.
Prerequisite/Restriction: One of the following within the last year or three consecutive semesters (including summer): ACT Math score of at least 25 or equivalent SAT Math score , grade of C- or better in MATH 1050 or MATH 1100 , or satisfactory score on the ALEKS Math Placement Exam
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STAT 2950 - Directed Reading and Conference
1-3 credits
Prerequisite/Restriction: Prior arrangement with specific instructor
Repeatable for credit.
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STAT 3000 - Statistics for Scientists (QI)
QI Quantitative Intensive
3 credits
Introduction to statistical concepts, graphical techniques, discrete and continuous distributions, parameter estimation, hypothesis testing, and chi-square tests.
Prerequisite/Restriction: C- or better in MATH 1100 or MATH 1210
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STAT 4010 - Probability and Statistics for Teachers
3 Credits
This course is an investigation of probability and statistics secondary school content from an advanced perspective and with attention to its historical development. Topics include probability, data summary techniques, parameter estimation, and inference.
Prerequisite/Restriction: STAT 3000 with a C- or better
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STAT 4250 - Advanced Internship/Co-op
1-6 credits
Advanced educational work experience in statistics.
Prerequisite/Restriction: Approval of instructor
Repeatable for credit.
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STAT 4500 - Methods of Teaching Statistics in Secondary and Middle School
3 credits
Teaching methods course required for all prospective mathematics and statistics composite teaching majors.
Prerequisite/Restriction: MATH 3110 ; MATH 4200 or MATH 4310 ; STAT 2000 or STAT 3000
Corequisite: MATH 4500 .
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STAT 4950 - Directed Reading and Conference
1-3 credits
This course consists of directed readings on specific topics.
Prerequisite/Restriction: Prior arrangement with specific instructor
Repeatable for credit.
This listing includes updates which are effective beginning Summer 2021.
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STAT 5050 - Introduction to R
1 credit
Students install and run R, RStudio and R Markdown; write reports using R Markdown; finding R functions, objects, and documentation; issue commands and save results; understand, manipulate, and subset data types (vectors, matrices, data frames, lists); and write simple functions.
Prerequisite/Restriction: STAT 2000 with a C- or better (or equivalent course)
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STAT 5080 - Data Technologies
2 credits
Modern data technologies, including the basics of simulation, resampling, bootstrap, regular expressions, web scraping, XML, data bases and SQL, and the Tidyverse (a collection of R packages for data science) are discussed. Students use unprocessed real-life data sets whenever possible. For graduate (6000-level) credit, a major project is required.
Prerequisite/Restriction:
Cross-listed as: STAT 6080
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STAT 5100 - Modern Regression Methods (CI/QI)
CI, QI Communications Intensive, Quantitative Intensive
3 credits
Students learn multiple linear regression, diagnostics for outliers and influential points, robust regression, quantile regression, collinearity, variable selection, ridge regression, the LASSO and elastic net, generalized linear models, and non-linear regression methods including generalized additive models and tree-based methods.
Prerequisite/Restriction: STAT 2000 or STAT 3000 with a grade of C- or better
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STAT 5120 - Statistical Methods for Rates and Proportions
2 credits
This course introduces the analysis of cross-tabulated and other categorical data, log-linear models for higher order cross-tabulations, independence graphs, logit models and logistic regression, generalized estimating equations, trend tests and other methods for ordinal classifications, and McNemar’s and Cochran-Mantel-Haenszal tests.
Prerequisite/Restriction: STAT 5100 with a grade of C- or better
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STAT 5150 - SAS Predictive Analytics
2 credits
This course introduces SAS® predictive analytics tools in SAS® Enterprise Miner™ and SAS® STAT™. Topics include principal components analysis; clustering observation and variables; regression with regularization and model selection; and classification including decision trees, random forests, and support vector machines.
Prerequisite/Restriction: STAT 5650 with a grade of C- or better
Cross-listed as: STAT 6150
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STAT 5170 - Time Series and Forecasting
2 credits
Students are introduced to linear time series analysis and ARIMA models. Topics include stationarity, differencing, AR, MA, and ARIMA models, modeling and forecasting with ARIMA models.
Prerequisite/Restriction:
One of the following:
- STAT 5100 with a grade of C- or better
- STAT 5050 with a grade of C- or better
- Previous experience programming in R
Cross-listed as: STAT 6170
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STAT 5200 - Analysis of Designed Experiments
3 credits
This course teaches analysis of balanced experimental designs with fixed, random, crossed, and nested factors; factorial, nested, nested factorial, split plot, split block, and repeated measures designs; and fixed and mixed effects models, residual analysis, and post hoc mean comparisons.
Prerequisite/Restriction: STAT 2000 , STAT 2300 , or STAT 3000 with a grade of C- or better
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STAT 5410 - Applied Spatial Statistics
2 credits
This course covers spatial data structures; spatial data exploration and visualization in R; spatial point patterns, spatially continuous data, and grid data; and nearest neighbor distances, K function, complete spatial randomness, variogram, kriging, and Moran’s I. For 6000-level credit a major project is required.
Prerequisite/Restriction:
Cross-listed as: STAT 6410
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STAT 5500 - Biostatistics Methods
3 credits
This is a survey of statistical methods and relevant theory frequently seen in biomedical applications, such as power calculations, multiple hypothesis testing, survival analysis, group sequential design, meta-analysis, and nonparametric tests. For graduate (6000-level) credit, additional work is required.
Prerequisite/Restriction: STAT 5100 or STAT 5200 with a grade of C- or better, or admission to the MPH program
Cross-listed as: STAT 6500
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STAT 5550 - Statistical Visualization I
2 credits
Students learn basic construction and refinement of statistical graphics for categorical and low-dimensional data via various R packages. They discuss good and bad graphics design principles with examples drawn from everyday sources and the scientific literature.
Prerequisite/Restriction: STAT 5050 with a C- or better
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STAT 5560 - Statistical Visualization II
2 credits
Students learn about statistical and scientific visualization of statistical maps and high-dimensional data; historic developments of graphics; current frontiers in visualization, including interactive, dynamic, and web-based graphics; and discuss effective use of color and motion in graphics. For graduate (6000-level) credit, a major project is required.
Prerequisite/Restriction: STAT 5050 and STAT 5550 with a grade of C- or better
Cross-listed as: STAT 6560
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STAT 5570 - Statistical Bioinformatics
2 credits
This course Introduces statistical methods for high dimensional biomedical data, primarily gene expression and sequence analysis, using Bioconductor tools. Topics include data visualization, differential expression (in high-dimensional count/continuous data), annotation testing, scoring alignments, HMMs, and phylogenetic trees. For graduate (6000-level) credit, additional work is required.
Prerequisite/Restriction: STAT 5100 or STAT 5200 with a grade of C- or better
Cross-listed as: STAT 6570
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STAT 5650 - Statistical Learning and Data Mining I
2 credits
Students learn principal components analysis, discriminant analysis, logistic regression, nearest neighbor classification, classification trees, random forests, and are introduced to AdaBoost, gradient boosting machines, and support vector machines. They also learn agglomerative and k-means clustering, canonical correlation, and multivariate regression.
Prerequisite/Restriction: STAT 5100 with a grade of C- or better
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STAT 5810 - Topics in Statistics
1-3 credits
Prerequisite/Restriction: Instructor permission
Repeatable for credit.
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STAT 5820 - Topics in Statistics
1-3 credits
This course explores a particular topic in greater depth and with narrower focus than a conventional course.
Prerequisite/Restriction: Instructor permission
Repeatable for credit.
This listing includes updates which are effective beginning Summer 2021.
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STAT 5940 - Directed Reading and Conference
1-3 credits
This course consists of directed readings on specific topics.
Prerequisite/Restriction: Prior arrangement with specific instructor
Repeatable for credit.
This listing includes updates which are effective beginning Summer 2021.
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STAT 5950 - Senior Honors Project
1-4 credits
A senior project, required for completion of the departmental honors program and developed under the direction of a departmental faculty member.
Prerequisite/Restriction: Instructor permission
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STAT 5970 - Seminar
1-3 credits
Review of current literature and developments in the field of statistics.
Repeatable for credit.
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STAT 6080 - Data Technologies
2 credits
Modern data technologies, including the basics of simulation, resampling, bootstrap, regular expressions, web scraping, XML, data bases and SQL, and the Tidyverse (a collection of R packages for data science) are discussed. Students use unprocessed real-life data sets whenever possible. For graduate (6000-level) credit, a major project is required.
Prerequisite/Restriction: Prerequisite/Restriction: C- or better in (
Cross-listed as: STAT 5080
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STAT 6100 - Advanced Regression Analysis
2 credits
Students explore modern linear and non-linear regression topics for regularization and prediction including ridge regression, LASSO, LAR, elastic net, principal components regression, partial least squares, generalized linear and additive models, MARS, regression trees, random forests, boosted trees, and support vector machines.
Prerequisite/Restriction:
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STAT 6110 - Theory of Linear Models
1 credit
Students learn mathematical development of linear models theory for estimation, hypothesis testing, and confidence regions in multiple linear regression; least squares estimation; the Gauss-Markov Theorem; distribution theory for quadratic forms in normal variables; derivation of the F-test; and confidence procedures.
Prerequisite/Restriction:
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STAT 6150 - SAS Predictive Analytics
2 credits
This course introduces SAS® predictive analytics tools in SAS® Enterprise Miner™ and SAS® STAT™. Topics include principal components analysis; clustering observation and variables; regression with regularization and model selection; and classification including decision trees, random forests, and support vector machines. For graduate (6000-level) credit, additional work is required.
Prerequisite/Restriction: STAT 5650 with a grade of C- or better
Cross-listed as: STAT 5150
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STAT 6170 - Time Series and Forecasting
2 credits
Students are introduced to linear time series analysis and ARIMA models. Topics include stationarity, differencing, AR, MA, and ARIMA models, modeling and forecasting with ARIMA models.
Prerequisite/Restriction:
One of the following:
- STAT 5100 with a grade of C- or better
- STAT 5050 with a grade of C- or better
- Previous experience programming in R
Cross-listed as: STAT 5170
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STAT 6180 - Financial Time Series
2 credits
This course introduces students to financial time series modeling covering the topics of asset volatility, GARCH models, high-frequency data, and risk management.
Prerequisite/Restriction: STAT 5170 or STAT 6170 with a grade of C- or better
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STAT 6250 - Graduate Internship/Co-op
1-8 credits
Educational work experience at the graduate level.
Prerequisite/Restriction: Instructor permission
Repeatable for credit.
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STAT 6410 - Applied Spatial Statistics
2 credits
This course covers spatial data structures; spatial data exploration and visualization in R; spatial point patterns, spatially continuous data, and grid data; and nearest neighbor distances, K function, complete spatial randomness, variogram, kriging, and Moran’s I. For 6000-level credit a major project is required.
Prerequisite/Restriction:
Cross-listed as: STAT 5410
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STAT 6500 - Biostatistics Methods
3 credits
This is a survey of statistical methods and relevant theory frequently seen in biomedical applications, such as power calculations, multiple hypothesis testing, survival analysis, group sequential design, meta-analysis, and nonparametric tests. For graduate (6000-level) credit, additional work is required.
Prerequisite/Restriction: STAT 5100 or STAT 5200 with a grade of C- or better, or admission to the MPH program
Cross-listed as: STAT 5500
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STAT 6550 - Statistical Computing
3 credits
Survey of algorithms and tools for modern statistical computing. Topics include simulation design and implementation, algorithms for linear regression and subset selection, smoothing algorithms, fast fourier transform, EM algorithm, numerical methods for maximum likelihood estimation, and neural networks.
Prerequisite/Restriction: C- or better in MATH 5720 and knowledge of a programming language
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STAT 6560 - Statistical Visualization II
2 credits
Students learn about statistical and scientific visualization of statistical maps and high-dimensional data; historic developments of graphics; current frontiers in visualization, including interactive, dynamic, and web-based graphics; and discuss effective use of color and motion in graphics. For graduate (6000-level) credit, a major project is required.
Prerequisite/Restriction: STAT 5050 and STAT 5550 with a grade of C- or better
Cross-listed as: STAT 5560
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STAT 6570 - Statistical Bioinformatics
2 credits
This course introduces statistical methods for high dimensional biomedical data, primarily gene expression and sequence analysis, using Bioconductor tools. Topics include data visualization, differential expression (in high-dimensional count/continuous data), annotation testing, scoring alignments, HMMs, and phylogenetic trees. For graduate (6000-level) credit additional work is required.
Prerequisite/Restriction: STAT 5100 or STAT 5200 with a grade of C- or better
Cross-listed as: STAT 5570
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STAT 6650 - Stat Learning: Multivariate Stat Analysis for Bioinformatics, Data Mining, and Machine Learning
3 credits
Explores supervised learning, linear methods for regression and classification, model assessment and selection, model inference and averaging, additive models, boosting, neural networks, support vector machines, and unsupervised learning.
Prerequisite/Restriction: C- or better in MATH 5720 and STAT 5100 Programming experience in R or a related language is strongly recommended
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STAT 6680 - Statistical Thinking for Big Data
2 credits
Students learn what Big Data is and how to visualize it. Topics include MapReduce, estimation and the bag of little bootstraps, and hypothesis testing, linear regression, classification, clustering, and nonlinear regression for Big Data.
Prerequisite/Restriction:
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STAT 6685 - Deep Learning Theory and Applications
3 credits
This course takes a principled and hands-on approach to deep learning with neural networks, covering machine learning basics, backpropagation, stochastic gradient descent, regularization and universality. Feedforward, convolutional, generative adversarial, and recurrent networks are discussed, as well as autoencoders, other modern architectures, and training techniques.
Prerequisite/Restriction:
Cross-listed as: CS 6685
This listing includes updates which are effective beginning Spring 2021.
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STAT 6710 - Mathematical Statistics I
3 credits
This course is an advanced mathematical statistics course covering the basics of measure-theoretic probability, random variables and random vectors, generating functions, and modes of stochastic convergence.
Prerequisite/Restriction: STAT 5710 with a C- or better
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STAT 6720 - Mathematical Statistics II
3 credits
This course is an advanced mathematical statistics course covering the basics of measure-theoretic probability, random variables and random vectors, generating functions, and modes of stochastic convergence.
Prerequisite/Restriction: STAT 6710 with a grade of C- or better
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STAT 6810 - Topics in Statistics (Topic)
1-3 credits
Topics vary by instructor each time course is offered.
Prerequisite/Restriction: Instructor permission
Repeatable
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STAT 6820 - Topics in Statistics (Topic)
1-3 credits
Topics vary by instructor each time the course is offered.
Prerequisite/Restriction: Instructor permission
Repeatable
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STAT 6910 - Seminar in Statistics
1-3 credits
Review of current literature and developments in statistics.
Prerequisite/Restriction: Instructor permission
Repeatable for credit.
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STAT 6950 - Directed Reading and Conference
1-4 credits
This course consists of directed readings on specific topics.
Prerequisite/Restriction: Prior arrangement with specific instructor
Repeatable for credit.
This listing includes updates which are effective beginning Summer 2021.
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STAT 6970 - Thesis and Research
1-6 credits
Outlining and conducting research in statistics. Thesis preparation.
Repeatable for credit.
Pass/Fail only.
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STAT 6990 - Continuing Graduate Advisement
1-9 credits
This course provides graduate students with continued advisement. It is usually taken following completion of all coursework required for the degree.
Repeatable for credit.
Pass/Fail only.
This listing includes updates which are effective beginning Summer 2021.
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STAT 7110 - Linear Models (Topic)
3 credits
This course explores a particular topic in greater depth and with narrower focus than a conventional course.
Repeatable for credit.
This listing includes updates which are effective beginning Summer 2021.
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STAT 7120 - Linear Models (Topic)
3 credits
This course explores a particular topic in greater depth and with narrower focus than a conventional course.
Repeatable for credit.
This listing includes updates which are effective beginning Summer 2021.
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STAT 7180 - Time Series Analysis (Topic)
3 credits
This course explores a particular topic in greater depth and with narrower focus than a conventional course.
Repeatable for credit.
This listing includes updates which are effective beginning Summer 2021.
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STAT 7190 - Time Series Analysis (Topic)
3 credits
This course explores a particular topic in greater depth and with narrower focus than a conventional course.
Repeatable for credit.
This listing includes updates which are effective beginning Summer 2021.
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STAT 7210 - Experimental Design (Topic)
3 credits
This course explores a particular topic in greater depth and with narrower focus than a conventional course.
Repeatable for credit.
This listing includes updates which are effective beginning Summer 2021.
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STAT 7220 - Experimental Design (Topic)
3 credits
This course explores a particular topic in greater depth and with narrower focus than a conventional course.
Repeatable for credit.
This listing includes updates which are effective beginning Summer 2021.
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STAT 7310 - Business and Industrial Statistics (Topic)
3 credits
This course explores a particular topic in greater depth and with narrower focus than a conventional course.
Repeatable for credit.
This listing includes updates which are effective beginning Summer 2021.
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STAT 7320 - Business and Industrial Statistics (Topic)
3 credits
This course explores a particular topic in greater depth and with narrower focus than a conventional course.
Repeatable for credit.
This listing includes updates which are effective beginning Summer 2021.
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STAT 7510 - Nonparametric Statistics (Topic)
3 credits
This course explores a particular topic in greater depth and with narrower focus than a conventional course.
Repeatable for credit.
This listing includes updates which are effective beginning Summer 2021.
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STAT 7520 - Nonparametric Statistics (Topic)
3 credits
This course explores a particular topic in greater depth and with narrower focus than a conventional course.
Repeatable for credit.
This listing includes updates which are effective beginning Summer 2021.
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