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Speech-Language Pathology |
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SPPA 2110 - American Sign Language I
Credits: 4
Basic comprehension and expression of American Sign Language (ASL), the language used by the Deaf community in the United States. ASL vocabulary, grammar, and pragmatics are taught through lecture, conversation, and storytelling. The direct experience method (using ASL with no voice) is utilized to enhance the learning process.
USP 2015 Code U5H
Former Course Number [4100]
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SPPA 2120 - American Sign Language II
Credits: 4
Second level of ASL comprehension and expression. ASL vocabulary, grammar, and pragmatics, along with increased fluency, are taught through lecture, conversation, and storytelling. Translation from English to ASL is addressed.
USP 2015 Code U5H
Former Course Number [4120]
Prerequisite: SPPA 2110 .
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SPPA 2210 - Phonetics
Credits: 3
Articulatory and acoustic description of speech sound production. Introduction to the International Phonetic Alphabet and phonetic transcription.
Former Course Number [3210]
Prerequisite: SPPA 1010 or consent of instructor.
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SPPA 3160 - Speech and Language Development
Credits: 4
Deals with the development of speech sound production, phonology, semantics, syntax, morphology, discourse, and pragmatics for typically-developing children from infancy to adolescence. Includes prelinguistic and paralinguistic communication, the cognitive correlates of communication, and written language. Considers the effects of sociocultural context and multiple langauge acquisition. Application component provides weekly experience in language sample analysis.
Former Course Number [4160]
Prerequisite: SPPA 2210 or instructor permission.
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SPPA 3265 - Anatomy and Physiology of Speech, Swallowing and Hearing
Credits: 4
Introduces the student to the anatomy of the normal speech and hearing systems as well as the physiologic underpinnings of the speech (respiration, phonation, articulation), swallowing, and hearing (external, middle, and inner ear) systems. Theories of speech production and speech perception are presented.
Former Course Number [3400]
Prerequisite: KIN 2040 or consent of instructor.
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SPPA 4000 - Workshop in Speech Pathology/Audiology
Credits: 1‑8
Varies with interests of student requests. Incorporates material relative to any area of speech and hearing.
When Offered (Offered based on sufficient demand and resources)
Prerequisite: consent of instructor.
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SPPA 4070 - Deaf Studies
Credits: 3
Studies deaf culture and deaf history in the United States. Culture topics will include deaf community dynamics, humor, behavior, emotional and social interaction, besides issues involving deaf children as a linguistic minority. History will be discussed from the 1700s to the present in the U. S.
USP 2003-2014 Code U3CS,U3D
USP 2015 Code U5H
A&S College Core 2015 ASD
Prerequisite: SPPA 2110 .
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SPPA 4130 - Advanced ASL
Credits: 4
Third level of ASL comprehension and expression. Addresses increased fluency in ASL; register variation for different conversational participants; and specialized vocabulary, including sexuality and religion. Translation from English to ASL is addressed.
Prerequisite: SPPA 2120 .
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SPPA 4140 - Undergraduate Teaching Assistant
Credits: 1
Max Credit (Max. 2)
Students assist instructor in major courses that they have successfully completed, including assisting with lab or practice sessions, providing individual student assistance, and participating in other student outreach activities on behalf of the Division. One semester credit hour requires 4 hours of work per week.
Prerequisite: consent of instructor/department and junior standing.
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SPPA 4150 - Aural Rehabilitation
Credits: 3
Examines basis for and characteristics of communication problems created by hearing loss and manage ment procedures to facilitate communication and adjustment to hearing loss. Includes acoustic and visual properties of speech, amplification devices and hearing loss in school children.
Prerequisite: SPPA 4340 or consent of instructor.
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SPPA 4200 - Audiology Internship
Credits: 1-2
Max Credit (Max. 4)
Audiology internship in the UW Speech and Hearing Clinic to further the student’s experience in an audiology clinic prior to their applying to an audiology graduate program.
Prerequisite: SPPA 4340 and consent of instructor.
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SPPA 4240 - Speech and Language Disorders Across the Lifespan
Credits: 3
The nature and causes of developmental and acquired speech and language disorders across the lifespan are examined. Principles of assessment and intervention are introduced.
Prerequisite: SPPA 3160 or consent of instructor.
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SPPA 4250 - Clinical Methods
Credits: 4
Introduction to clinical procedures, such as: collecting data, clinical writing and documentation, reviewing practice regulations, interviewing, and counseling. Students will obtain initial clinical experience (i. e. observation, simulation and/ or clinical assignment). Requirements (e. g. , background check, TB screen) must be met for involvement in the Speech & Hearing Clinic.
Prerequisite: SPPA 3265
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SPPA 4340 - Basic Audiology
Credits: 3
An introduction to audiology as a profession, with primary focus on screening and diagnostic methods for the clinical evaluation of hearing loss in children and adults.
When Offered (Normally offered spring semester)
Prerequisite: SPPA 3265 or concurrent enrollment.
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SPPA 4380 - Neurological Basis of Communication
Credits: 3
Studies details of human nervous system, including central and peripheral nervous systems, major motor and sensory pathways and special senses. Emphasizes neurology of various communication disorders.
Prerequisite: SPPA 3265 or consent of instructor.
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SPPA 4890 - Independent Study
Credits: 1-3
Max Credit (Max. 4)
An independent study will be developed by the instructor and undergraduate student. It will consist of activities such as: conducting a small research project, assisting in a research project, composing a systematic research review, participating in a clinical experience, or helping to develop a professional development or public awareness program.
Prerequisite: Consent of instructor.
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SPPA 5000 - Seminar in Communication Disorders
Credits: 1-8
Max Credit (Max. 8)
The participation in and discussion of special problems and/or research related to speech-language, pathology and audiology.
Prerequisite: B. S. degree and consent of instructor.
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SPPA 5020 - Phonological Assessment and Intervention
Credits: 3
Emphasis on normal phonetic and phonologic development, diagnosis and clinical management of articulatory and phonological disorders.
Prerequisite: SPPA 3210.
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SPPA 5030 - Clinical Practicum
Credits: 1-4
Max Credit (Max. 12)
Supervised clinical experience with speech, language, and hearing disordered children and adults under supervision of University of Wyoming Speech and Hearing Clinic faculty.
Prerequisite: matriculating graduate students only.
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SPPA 5100 - Motor Speech Disorders
Credits: 2
Evaluation and treatment of motor speech disorders. Topics will include characteristics of disordered speech associated with neurological impairments/diseases; methods for evaluating communication disorders associated with dysarthria, apraxia of speech, and other neurological and acquired conditions, and treatment approaches.
Prerequisite: SPPA 4380 or a course covering neuroanatomy/physiology of normal and disordered communication.
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SPPA 5110 - Craniofacial Disorders
Credits: 2
Studies communication disorders related to cleft lip and palate disorders and associated craniofacial sequences and syndromes. Assessment and treatment of these communication disorders is presented in the context of interdisciplinary management. Surgical and nonsurgical treatment procedures employed to manage speech problems associated with velopharyngeal insufficiency are included.
Prerequisite: SPPA 3265 , SPPA 2210 .
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SPPA 5120 - Stuttering
Credits: 2
Theories of etiology, symptoms of the problem, diagnosis and treatment of childhood non-fluency and various approaches to therapy for the adult stutterer.
Prerequisite: graduate level standing.
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SPPA 5130 - Adult Neurogenic Disorders
Credits: 4
This course will cover acquired neurogenic communication disorders. Topics include language disorders (focusing on Aphasia) as well as cognitive-communication disorders (i. e. , traumatic brain injury, Right Hemisphere Dysfunction, and Neurocognitive disorder). This graduate course provides 1) a basic understanding of the neuroanatomical/ physiological basis and 2) instruction regarding evaluation and treatment methods.
Prerequisite: SPPA 4380 .
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SPPA 5140 - EBP and Evaluation Procedures in Communication Disorders
Credits: 4
Focuses on research and evaluation procedures in speech-language pathology. Topics include evidence-based practice, evaluating research, an overview of models of disability across applied settings, assessment and evaluation processes including interviewing, understanding tool psychometrics, and using norm-based referenced tools, criterion-based measurements, and dynamic assessement.
Prerequisite: Acceptance to the University of Wyoming’s graduate SLP program.
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SPPA 5210 - Augmentative and Alternative Communication
Credits: 2
Selection, design, and application of augmentive and alternative communication (AAC) systems to enhance communication, education, and quality of life for individuals with development and acquired disorders.
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SPPA 5220 - Voice Disorders
Credits: 3
Study of the etiology, assessment, and remediation of voice disorders. Includes a discussion of preventing disorders, maintaining a healthy voice, and normal changes in voice. Presentation of rehabilitation options for laryngectomized speaker.
Prerequisite: SPPA 3265 .
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SPPA 5230 - Dysphagia
Credits: 3
Provides information regarding the anatomy and physiology of the adult and pediatric swallowing mechanisms, the diagnosis of dysphagia and feeding disorders using clinical and instrumental approaches, the medical diagnoses for which dysphagia is a common symptom, and methods that are commonly used to treat dysphagia and feeding disorders.
Prerequisite: SPPA 3265 .
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SPPA 5270 - Educational Practicum
Credits: 1-12
Max Credit (Max. 12)
Under supervision, the student is given increased responsibility for performing speech and language assessments, hearing screenings, and treatment of children in an educational setting. Students will relate to other educational personnel and counsel teachers and families about communication disorders.
Prerequisite: completion of at least two semesters (including summer) of approved graduate coursework and clinical practicum (SPPA 5030 ); and approval of faculty.
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SPPA 5280 - Early Language Intervention
Credits: 3
Principles and techniques of language assessment and intervention for preschoolers, infants, and low-functioning individuals.
Prerequisite: SPPA 3160 .
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SPPA 5290 - Medical Practicum
Credits: 1-12
Max Credit (Max. 12)
Under supervision, the student is given increased responsibility for performing speech and language assessments, hearing screenings and treatment of children and adults in a medical setting. Students relate to other medical and clinical personnel and counsel professionals and families about communication disorders.
Prerequisite: Completion of at least two semesters (including summer) of approved graduate coursework and clinical practicum; and approval of faculty.
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SPPA 5330 - School-Age Language Intervention
Credits: 3
Principles and techniques of language assessment and intervention for school-age children and adolescents with particular attention to service delivery issues in schools.
Prerequisite: SPPA 3160 .
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SPPA 5380 - Professional Practice
Credits: 3
Max Credit (Max. 9)
Emphasizes issues related to professional practice of speech-language pathology, such as professional ethics, scope of practice, professional standards, and techniques of counseling clients. This course applies to speech-language pathologists working in either the medical or school setting. This course prepares the speech-language pathologist to collaborate with other professional in the workplace through discussion and activities of inter-professional practice and education (IPP and IPE).
Prerequisite: graduate standing in Communication Disorders and consent of instructor.
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SPPA 5500 - Topics in Communication Disorders
Credits: 1-8
Max Credit (Max. 9)
Provides a critical review of recent theories and developments in area of communication disorders. This is a continuing seminar course dealing with various advanced topics in communication disorders.
Prerequisite: graduate standing.
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SPPA 5750 - Research Methods in Speech Pathology and Audiology
Credits: 3
Emphasizes the application of scientific methodologies to areas of Speech-Language Pathology and Audiology. Topics to be covered include: introduction to writing research papers; reviewing and critiquing the literature; experimental designs; techniques in data analyses.
Prerequisite: STAT 2070 or equivalent; B. S. degree in speech pathology audiology; and acceptance into the graduate program.
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SPPA 5890 - Independent Study
Credits: 1-3
Max Credit (Max. 4)
Graduate-level independent study will be developed by the instructor and student. It will consist of activities such as: conducting a research project of a smaller scale than a thesis, assisting in a research project, composing a systematic research review, or developing a professional education or public awareness program.
Prerequisite: graduate standing.
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SPPA 5900 - Practicum in College Teaching
Credits: 1-3
Max Credit (Max. 3)
Work in classroom with a major professor. Students are expected to give some lectures and gain classroom experience.
Prerequisite: graduate standing.
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SPPA 5920 - Continuing Registration: On Campus
Credits: 1-2
Max Credit (Max. 16)
Prerequisite: advanced degree candidacy.
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SPPA 5940 - Continuing Registration: Off Campus
Credits: 1-2
Max Credit (Max. 16)
Prerequisite: advanced degree candidacy.
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SPPA 5959 - Enrichment Studies
Credits: 1-3
Max Credit (Max. 99)
Designed to provide an enrichment experience in a variety of topics.
A&S College Core 2015 Note: credit in this course may not be included in a graduate program of study for degree purposes.
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SPPA 5960 - Thesis Research
Credits: 1-12
Max Credit (Max. 24)
Graduate level course designed for students who are involved in research for their thesis project. Also used for students whose coursework is complete and are writing their thesis.
Prerequisite: enrollment in a graduate degree program.
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SPPA 5961 - Graduate Projects
Credits: 1-4
Max Credit (Max. 4)
Limited to those students enrolled in a Plan B graduate program. Students should be involved in non-course scholarly activities in support of their Plan B project.
Prerequisite: must be enrolled in Plan B program and have departmental approval.
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SPPA 5990 - Internship
Credits: 1-12
Max Credit (Max. 24)
Prerequisite: graduate standing.
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Statistics |
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STAT 1101 - First-Year Seminar
Credits: 3
USP 2015 Code U5FY
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STAT 2000 - Statistics and the World
Credits: 3
Discusses statistical reasoning and methods as related to today’s society. Emphasizes ideas rather than specific techniques. Focuses on real examples of the use (and misuse) of statistics. Includes sampling, experimentation, descriptive statistics, elementary probability and statistical inference.
USP 2003-2014 Code U3QB,U3Q
Prerequisite: grade of C or better in MATH 0921 or level 2 on the Math Placement Exam or Math ACT of 21 or Math SAT of 600 or concurrent enrollment in MATH 1080 .
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STAT 2050 - Fundamentals of Statistics
Credits: 4
Presents central ideas and fundamental techniques of statistical inference on applications in the biological sciences. Includes probability models and inferences for means, variances and parameters of discrete distributions. Introduces statistical computer packages in biweekly labs. Credit cannot be earned in more than one of the following courses: STAT 2010, 2050, STAT 2070 , STAT 4220 and 5000.
USP 2003-2014 Code U3Q,U3QB
USP 2015 Code U5Q
Prerequisite: grade of C or better in MATH 1000 , MATH 1400 , or equivalent.
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STAT 2070 - Introductory Statistics for the Social Sciences
Credits: 4
Presents central ideas of descriptive statistics and statistical inference, as applied to questions in social sciences. Includes graphs, averages, sampling, estimation, hypothesis-testing and relationships between variables. Introduces associated computer skills. Credit cannot be earned in more than one of STAT 2010, STAT 2050 , 2070, STAT 4220 , 5000.
Cross Listed SOC 2070 .
USP 2003-2014 Code U3Q,U3QB
Prerequisite: grade of C or better in MATH 1000 , MATH 1400 , or equivalent.
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STAT 2110 - Statistical Methods for Business and Management Science
Credits: 3
Provides majors in various departments of the College of Business with training in use of statistical analysis techniques as they apply to business problems. Credit cannot be earned in more than one of the following: STAT 2110, STAT 3050 and STAT 5050 , STAT 5060, STAT 5070 , STAT 5080 .
Prerequisite: STAT 2010.
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STAT 3050 - Statistical Methods
Credits: 3
Provides undergraduate majors in the Colleges of Arts and Sciences, Agriculture and Education with training in statistical methodology for multiple variable situations. Integrates computer analysis packages such as R MINITAB, SAS and SPSSX into statistical topics. Credit cannot be earned in more than one of the following courses: STAT 2110 , 3050 and STAT 5050 , 5060, STAT 5070 , STAT 5080 .
Prerequisite: STAT 2050 , STAT 2070 or equivalent.
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STAT 4015 - Regression Analysis
Credits: 3
Contains standard topics, as well as some newer and more unconventional ones. Oriented towards analysts who use computer packages for problem solutions. Includes balance of application and theory.
Dual Listed STAT 5015 .
Former Course Number [4010, 4410]
Prerequisite: STAT 2050 or equivalent
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STAT 4025 - Design and Analysis of Experiments I
Credits: 3
Reviews design and analysis of one-factor experiments and introduces multifactor experiments, Latin squares, nested designs and random effects. Includes topics such as polynomial response curves, trend analysis, split plots and incomplete blocks as time permits.
Dual Listed STAT 5025 .
Former Course Number [4020, 4310]
Prerequisite: STAT 2050 or equivalent
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STAT 4045 - Categorical Data Analysis
Credits: 3
Applied methods for analyzing associations when some or all variables are measured in discrete categories, not continuous scales. Topics include the binomial, multinomial, and Poisson probability models, parameter estimation and hypothesis-testing about proportions, measures of association and tests for contingency tables, logistic regression, and log-linear models.
Dual Listed STAT 5045 .
Former Course Number [4040]
Prerequisite: STAT 2050 or equivalent
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STAT 4070 - Causal Models
Credits: 3
Applications of least-squares and iterative maximum-likelihood methods for drawing cause and effect conclusions from nonexperimental data. Topics include regression-based path analysis, reciprocal causation, confirmatory factor analysis, measurement error, and structural equation models with unmeasured (latent) variables.
Cross Listed SOC 4070.
Prerequisite: one of STAT 3050 , STAT 4015 , STAT 5050 , 5060, STAT 5070 , STAT 5080 or equivalent (regression methods).
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STAT 4115 - Time Series Analysis and Forecasting
Credits: 3
An applied introduction to time series and forecasting. Brief coverage of time series regression, decomposition methods, and smoothing will lead into a more detailed coverage of Box-Jenkins (ARIMA) modeling. Computer analyses using MINITAB and SAS will be an important part of the course.
Cross Listed ECON 5115
Dual Listed STAT 5115 .
Former Course Number [4110]
Prerequisite: STAT 4015 /5015
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STAT 4155 - Fundamentals of Sampling
Credits: 3
Develops methodology of simple random sampling, stratified sampling, and multistage sampling. Provides applications related to physical, social, and biological sciences. Discusses single and two-variable estimation techniques. Presents estimation based on subsamples from subpopulations.
Dual Listed STAT 5155 .
Former Course Number [4150]
Prerequisite: choice of STAT 2010, STAT 2050 , STAT 2070 or equivalent.
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STAT 4220 - Basic Engineering Statistics
Credits: 3
Introduces probability models, properties of distributions, statistical inference and development of statistical models for physical and engineering sciences. Credit cannot be earned in more than one of the following courses: STAT 2010, STAT 2050 , STAT 2070 , 4220 and 5000.
Former Course Number [4020]
Prerequisite: MATH 2205 , MATH 2355 or equivalent.
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STAT 4240 - Data Mining
Credits: 3
An introduction to statistical learning and data mining using techniques that have proven useful in recognizing patterns and making predictions. These techniques include both parametric and nonparametric models. Tools for computing and evaluating these techniques will also be studied.
Dual Listed STAT 5240 .
Prerequisite: STAT 4015 .
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STAT 4255 - Mathematical Theory of Probability
Credits: 3
Calculus-based. Introduces mathematical properties of random variables. Includes discrete and continuous probability distributions, independence and conditional probability, mathematical expectation, multivariate distributions and properties of normal probability law.
Cross Listed MATH 4255 .
Dual Listed STAT 5255 .
When Offered (Offered fall semester)
Former Course Number [4250]
Prerequisite: grade of C or better in MATH 2210 .
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STAT 4265 - Introduction to the Theory of Statistics
Credits: 3
Presents derivations of theoretical and sampling distributions. Introduces theory of estimation and hypothesis testing.
Cross Listed MATH 4265 .
Dual Listed STAT 5265 .
Former Course Number [4260, 4010]
Prerequisite: STAT 4255 /MATH 4255 .
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STAT 4270 - Applied Bayesian Statistics
Credits: 3
This course introduces Bayesian data analysis in an applied context. We will learn about Bayesian statistics primarily in a regression model context, taken broadly. A conceptual understanding of popular Markov Chain Monte Carlo algorithms will be provided.
Dual Listed STAT 5270 .
Prerequisite: STAT 4015 /5015
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STAT 4280 - Models for Hierarchical Data
Credits: 3
Provides an introduction to the modeling and analysis of correlated/hierarchical data from exponential family member distributions (i. e. presence/absence, count data, Gaussian data). Emphasis is on applications. Aimed to build off of a first course in regression analysis.
Dual Listed STAT 5280 .
Prerequisite: STAT 4015 .
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STAT 4300 - Applied Multivariate Analysis
Credits: 3
The application of multivariate statistical methods in behacioral science research. Topics include: multivariate regression, canonical correlation, discriminate analysis, factor analysis and multidimensional scaling. A wide range of computer assistance is incorporated.
Dual Listed STAT 5300 .
Prerequisite: STAT 4015 /5015 and STAT 4025 /5025
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STAT 4350 - Survey Construction and Analysis
Credits: 3
Examines the issues surrounding the construction (item wording, test theory, and numerical scales), assessment (sampling and psychometrics), and analysis (item analysis, qualitative data analysis, and factor analysis) of survey instruments. Roughly a third of the course is devoted to each of these areas.
Dual Listed STAT 5350 .
Prerequisite: STAT 4015 /5015 and STAT 4025 /5025
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STAT 4360 - Spatial Statistics
Credits: 3
Emphasis is on a generalized linear model approach to the modeling of continuous data, placing model building and the various kriging methods into a single conceptual framework.
Dual Listed STAT 5360 .
Prerequisite: STAT 4015 .
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STAT 4370 - Survival Analysis
Credits: 3
Introduction to the modeling of time to event data as it arises in epidemiological and medical research. Topics include parametric and non-parametric estimation for censored data without covariates, and for data with covariates, the proportional hazards regression model, additive hazards regression model and parametric regression models.
Dual Listed STAT 5370 .
Prerequisite: STAT 4015 and STAT 4025 .
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STAT 4460 - Statistical Software
Credits: 1
Max Credit 1
An introduction to the various statistical software programs currenlty in use at the University of Wyoming. Topics will include the structure of each language, I/O, programming the basic statistical applications, and a comparison of the other languages.
Former Course Number [5480]
Prerequisite: STAT 2050
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STAT 4870 - Senior Thesis
Credits: 3
Encompasses senior thesis research project under faculty member guidance and supervision. Faculty sponsorship must be obtained prior to registration.
Prerequisite: 18 hours in statistics and senior standing.
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STAT 4880 - Problems in Statistics
Credits: 1‑4
Encourages individual initiative on part of students who work on extending their knowledge through library research.
Former Course Number [4790]
Prerequisite: senior standing, 8 hours in statistics and consent of instructor.
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STAT 5015 - Regression Analysis
Credits: 3
Contains standard topics, as well as some newer and more unconventional ones. Oriented towards analysts who use computer packages for problem solutions. Includes balance of application and theory.
Dual Listed STAT 4015 .
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STAT 5025 - Design and Analysis of Experiments I
Credits: 3
Reviews design and anlysis of one-factor experiments and introduces multifactor experiments, Latin squares, nested designs and random effects. Includes topics such as poynomial response curves, trend analysis, spilt plots and incomplete block as time permits.
Dual Listed STAT 4025 .
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STAT 5045 - Categorical Data Analysis
Credits: 3
Applied methods for analyzing associations when some or all variable are measured in discrete categories, not continuous scales. Topics include the binomial, multinomial, and Poisson probability models, parameter estimation and hypothesis-testing about proportions, measures of association and tests for contingency tables, logistic regression, and log-linear models.
Dual Listed STAT 4045 .
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STAT 5050 - Statistical Methods for the Biological Science
Credits: 3
General statistical analyses and their application to the biological and behavioral sciences. Analysis of variance, regression and correlation methods are studied from a data analytic perspective, emphasizing the conceptual understanding of where and when these techniques should be used and the interpretation of their results. Available computer programs will be utilized. Credit cannot be earned in more than one of the following courses: STAT 3050 , 5050, 5060, STAT 5070 .
Cross Listed ZOO 5050 .
Prerequisite: one course in statistics (all introductory courses except 2000).
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STAT 5055 - Statistical Methods for the Biological Sciences II
Credits: 3
The statistical toolkit (regression and ANOVA-driven) of methods applicable to the biological and behavioral sciences will be extended to include multiple logistic regression, power and sample size considerations, and computer-intensive methods such as bootstrapping and randomization tests, which will considerably expand the repertoire of methods that a person could use.
Prerequisite: STAT 5050 or equivalent.
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STAT 5070 - Statistical Methods for the Social Sciences
Credits: 3
General statistical analyses and their application to the social sciences. Analysis of variance, regression and correlation methods are studied from a data analytic perspective, emphasizing the conceptual understanding of where and when these techniques should be used and the interpretation of their results. Available computer programs will be utilized. Credit cannot be earned in more that one of the following courses: STAT 2110 , STAT 3050 , STAT 5050 , 5060, 5070.
Cross Listed SOC 5070 .
Prerequisite: one course in statistics (all introductory courses except STAT 2000 ).
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STAT 5080 - Statistical Methods for the Agricultural and Natural Resource Sciences
Credits: 3
Brief review of statistical principles. Use of SAS programming. Numerous analysis of variance techniques along with commonly-used experimental designs. Multiple mean comparison, linear contrasts, power of F test, simple linear regression, polynomial regression, analysis of covariance, and some categorical data techniques for students in the agriculture and natural resources sciences. Credit cannot be earned in more that one of the following courses: STAT 2110 , STAT 3050 , STAT 5050 , 5060, STAT 5070 , 5080.
Cross Listed ENTO 5080 .
Prerequisite: STAT 2050 or equivalent.
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STAT 5115 - Time Series Analysis and Forecasting
Credits: 3
An applied introduction to time series and forecasting. Brief coverage of time series regression, decomposition methods, and smoothing will lead into a more detailed coverage of Box-Jenkins (ARIMA) modeling. Computer analysis using MINITAB and SAS will be an important part of the course.
Cross Listed ECON 4115
Dual Listed STAT 4115 .
Prerequisite: STAT 4015 /5015
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STAT 5155 - Fundamentals of Sampling
Credits: 3
Develops methodology of simple random sampling, stratified sampling, and multistage samples. Provides applications related to physical, social, and biological sciences. Discusses single and two-variable estimation techniques. Presents estimation based on subsamples from subpopulations.
Dual Listed STAT 4155 .
Prerequisite: STAT 2070 or equivalent.
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STAT 5185 - Analysis of Data
Credits: 3
Focuses on data collection, analysis, interpretation, and communication, using contexts relevant to everyday situations. Topics chosen integrate well with the concerns of middle-level teachers and connect with such curriculum areas as health, science, and social studies. This course is not a research methods course.
Cross Listed NASC 5180.
Prerequisite: graduate standing in either degree or non-degree seeking status, and acceptance into the Middle-level mathematics program.
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STAT 5210 - Advanced Regression
Credits: 3
Advanced methodologies, with particular focus on concepts and methods related to regression. Topics include generalized linear models, nonlinear regression, elementary linear model theory, and Data Science topics such as resampling inference, ridge regression and the lass, and k-fold cross-validation.
Prerequisite: MATH 4265 /STAT 4265 /STAT 5265 and STAT 4015 /STAT 5015 . STAT 4025 /STAT 5025 and STAT 4045 /STAT 5045 are recommended.
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STAT 5220 - Advanced Design
Credits: 3
Advanced study of experimental designs, observational designs, and mixed models. Topics include fixed and random effects, factorial, split-plot and repeated measures designs, and hierarchical models. Linear model methodology and Data Science concepts will also be emphasized.
Prerequisite: MATH 5265 /STAT 4265 /STAT 5265 , and at least one of STAT 4015 /STAT 5015 , STAT 4025 /STAT 5025 , or STAT 5210 .
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STAT 5230 - Statistic Methods III
Credits: 4
Continuation of topics in Statistical Methods from STAT 5220 ; aimed at preparing students for advanced topics courses in Statistics.
Prerequisite: STAT 5220 and STAT 5520 .
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STAT 5240 - Data Mining
Credits: 3
An introduction to statistical learning and data mining using techniques that have proven useful in recognizing patterns and making predictions. These techniques include both parametric and nonparametric models. Tools for computing and evaluating these techniques will also be studied.
Dual Listed STAT 4240 .
Prerequisite: STAT 5015 .
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STAT 5255 - Mathematical Theory of Probability
Credits: 3
Calculus-based. Introduces mathematical properties of random variables. Includes discrete and continuous probability distributions, independence and conditional probability distributions, independence and conditional probability, mathematical expectation, multivariate distributions and properties of normal probability law.
Cross Listed MATH 5255 .
Dual Listed STAT 4255 .
Prerequisite: grade of C or better in MATH 2210 or MATH 2355 .
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STAT 5265 - Introduction to the Theory of Statistics
Credits: 3
Presents derivations of theoretical and sampling distributions. Introduces theory of estimation and hypothesis testing.
Cross Listed MATH 5265 .
Dual Listed STAT 4265 .
Prerequisite: STAT 4255 /STAT 5255 .
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STAT 5270 - Applied Bayesian Statistics
Credits: 3
This course introduces Bayesian data analysis in an applied context. We will learn about Bayesian statistics primarily in a regression model context, taken broadly. A conceptual understanding of popular Markov Chain Monte Carlo algorithms will be provided.
Dual Listed STAT 4270 .
Prerequisite: STAT 4015 /5015
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STAT 5280 - Models for Hierarchical Data
Credits: 3
Provides an introduction to the modeling and analysis of correlated/hierarchical data from exponential family member distributions (i. e. presence/absence, count data, Gaussian data). Emphasis is on applications. Aimed to build off of a first course in regression analysis.
Dual Listed STAT 4280 .
Prerequisite: STAT 5015 .
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STAT 5300 - Applied Multivariate Analysis
Credits: 3
The application of multivariate statistical methods in behavioral science research. Topics include: multivariate regression, canonical correlation, discriminate analysis, factor analysis and multivariate regression, canonical correlation, discriminate analysis, factor analysis and multidimensional scaling. A wide range of computer assistance is incorporated.
Dual Listed STAT 4300 .
Prerequisite: STAT 4015 /5015 and STAT 4025 /5025
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STAT 5350 - Survey Construction and Analysis
Credits: 3
Examines the issues surrounding the construction (item wording, test theory, and numerical scales), assessment (sampling and psychometrics), and analysis (tem analysis, qualitative data analysis, and factor analysis) of survey instruments. Roughly a third of the course is devoted to each of these areas.
Dual Listed STAT 4350 .
Prerequisite: STAT 4015 /5015 and STAT 4025 /5025
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STAT 5360 - Spatial Statistics
Credits: 3
Emphasis is on a generalized linear model approach to the modeling of continuous data, placing model building and the various kriging methods into a single conceptual framework.
Dual Listed STAT 4360 .
Prerequisite: STAT 4015 .
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STAT 5370 - Survival Analysis
Credits: 3
Introduction to the modeling of time to event data as it arises in epidemiological and medical research. Topics include parametric and non-parametric estimation for censored data without covariates, and for data with covariates, the proportional hazards regression model, additive hazards regression model and parametric regression models.
Dual Listed STAT 4370 .
Prerequisite: STAT 4015 , STAT 4025 and STAT 4265 .
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STAT 5380 - Bayesian Data Analysis
Credits: 3
Bayesian statistical methods for analyzing various kinds of data. Topics include basic Bayesian ideas and model formulation (priors, posteriors, likelihoods), single- and multiple-parameter models, hierarchical models, generalized linear models, multivariate models, survival models and an introduction to computation methods.
Prerequisite: STAT 5255
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STAT 5470 - Data Analysis
Credits: 3
This course is designed to develop the skill of analyzing data sets using methods of classic statistical analysis, such as analysis of variance, regression, discrete models, descriptive analysis, non-parametrics, and multivariate methods. The focus will be on understanding the various models and methods, computer assisted data analysis, and communication of results (oral and written).
Prerequisite: 12 graduate level hours in statistics (excluding STAT 5000).
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STAT 5490 - Statistical Consulting
Credits: 1
An introduction to the art and practice of statistical consulting. Topics include active listening, ascertaining client knowledge level and ability, determining appropriate methods of analysis given limitations, and organizing and managing a consulting session.
Prerequisite: graduate standing in statistics, 15 hours in statistics.
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STAT 5510 - Distribution Theory
Credits: 4
Topics covered include probability theory, conditional probability, random variables, special distribution functions, functions of random variables, expectation, random samples, and limiting distributions.
Prerequisite: MATH 2210 , 3000 or MATH/STAT 4265 .
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STAT 5520 - Inference I
Credits: 4
Topics covered include Properties of a random sample, Sufficiency principle, Likelihood principle, point estimation (mle, mom, Bayes estimators, etc. and methods for evaluating estimators), some interval estimation.
Prerequisite: STAT 5510 .
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STAT 5530 - Inference II
Credits: 3
Topics covered include methods used in Bayesian, Likelihood, Frequentist inference; some methods for robust inference and some large sample theory as needed.
Prerequisite: STAT 5520 .
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STAT 5540 - Large Sample Theory
Credits: 3
Treats various limiting techniques which can be used to predict the behavior of statistics computed from large data sets. The characteristic function is used in deriving the law of large numbers and various forms of the central limit theorem, including the multivariate normal case. The central and noncentral chi-square distributions are derived as the probability law for certain statistics in the limit. Other topics discussed include modes of probabilistic convergence, speed of convergence, and large sample approximation procedures.
Prerequisite: STAT 5510 .
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STAT 5615 - Time Series Analysis II
Credits: 3
A treatment of theory and application of ARIMA modeling of times series. Frequency domain analysis is also introduced. Additional topics will be selected from intervention analysis, transfer function (ARMAX) models, outlier analysis, vector ARIMA models, ARCH, GARCH, and state-space models, according to the interests and abilities of the class.
Prerequisite: STAT 4015 /STAT 5015 , STAT 4115 and STAT 4265 /STAT 5265 .
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STAT 5620 - Theory of Linear Models
Credits: 3
A theoretical approach to estimation and testing in the general linear model. Topics include: special linear algebra results for statistics, para-meterizations, estimability, least squares, best linear unbiased estimation, and testing linear hypotheses.
Prerequisite: STAT 5520 , STAT 5630 , MATH 4500 .
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STAT 5630 - Multivariate Analysis
Credits: 3
The subject matter includes derivation of multi-variate normal distributions, the Wishart, and related sampling distributions, multivariate estimation, confidence regions, and hypothesis testing are covered including topics as Hotelling’s T squared, profile analysis, discriminate analysis, factor analysis, and cluster analysis.
Prerequisite: STAT 4265 , MATH 2250 .
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STAT 5650 - Theory of Sampling
Credits: 3
Consists of the theory of simple random sampling, stratified sampling, multistage sampling, and regression and ratio estimation. Recent developments in sampling are presented.
Prerequisite: STAT 4265 , STAT 4155 /STAT 5155 .
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