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Speech-Language Pathology: Graduate |
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SPPA 6064 - Fluency Disorders
Units: 4
Theories of etiology and therapeutic approaches to stuttering and cluttering disorders in adults and children. Prerequisites: SPPA 4852 or SPPA 6052 ; and graduate standing.
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SPPA 6066 - Clinical Internship in Speech-Language Pathology
Units: 6
Field placement in supervised and approved settings such as public schools, hospitals, and community speech-language and hearing clinics. Prerequisites: SPPA 4863 , SPPA 4866 , SPPA 6000 , SPPA 6020 , SPPA 6050 , SPPA 6056 , SPPA 6057 , SPPA 6060 , SPPA 6064 ; Internship Preference Form filed; and graduate standing. Must be repeated once for credit, for a maximum of 12 units.
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SPPA 6070 - Augmentative/Alternative Communication-Assistive Technology for Speech-Language Pathologists
Units: 4
Principles of augmentative/alternative communication for both children and adults. Hardware, software, and peripheral equipment for assessment, system fittings, and intervention. Open to SPPA graduate students and Speech Pathology professionals. Prerequisites: SPPA 4856 or SPPA 6056 ; SPPA 4865 ; and graduate standing.
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SPPA 6080 - Counseling Individuals with Speech, Language and Hearing Disorders
Units: 4
Counseling theory, models, processes, and strategies. Application of counseling strategies to individuals who present a variety of communicative disorders, and to the families of these individuals to assist them in living with communication disorders. Prerequisites: SPPA 4852 or SPPA 6052 , and graduate standing.
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SPPA 6156 - Practicum in Audiologic Assessment
Units: 2
Supervised clinical diagnosis of hearing disorders including history taking, test administration, data analysis, patient counseling, oral and written case presentation. Prerequisites: SPPA 4852 or SPPA 6052 ; SPPA 4861 ; and graduate standing.
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SPPA 6160 - Audiological Rehabilitation
Units: 4
Advanced study of the issues facing clinicians when providing audiological rehabilitation services in adult clinical settings. Emphasis on group formation and communication strategies training. Guided practical experience in group audiological rehabilitation. Two hrs. lect., 4 hrs. lab.
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SPPA 6220 - Dysphagia in Adults and Children
Units: 4
Principles and evidence-based clinical guidelines for screening, assessment, and treatment of dysphagia in adults and children. Anatomy and physiology of normal swallowing, bedside and instrument-based assessment of swallowing disorders, behavioral and instrument-based treatment techniques, and ethical issues in clinical practice. Prerequisites: SPPA 4867 , SPPA 4856 or SPPA 6056 ; and graduate standing.
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SPPA 6223 - Early Language Assessment and Intervention
Units: 2
Provides information and develops skills for working with the birth to 3 population at risk for speech and language delays and/or disorders including: children of substance abuse pregnancies, premature birth, chromosomal disorders, developmental delay, and pervasive developmental disorders. Topics include characteristics of these populations, appropriate assessment procedures, family-centered services, and transdisciplinary approaches. Prerequisites: SPPA 4856 or SPPA 6056 ; SPPA 6060 . Only open to SPPA majors.
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SPPA 6224 - Issues in Ethics
Units: 2
The American Speech-Language-Hearing Association’s (ASHA) Code of Ethics with specific discussion on conflict of interest, the effect of managed care, and insurance reimbursement. Prerequisites: SPPA 4852 or SPPA 6052 . Co-requisites: SPPA 4856 or SPPA 6056 .
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SPPA 6228 - School-based Issues in Speech-Language Pathology
Units: 2
Issues pertaining to public school setting: IEPs, fair hearings, reports, school personnel, federal and state regulations, qualification standards, dismissal criteria, bilingualism and second language acquisition, best practices, group treatment, data collection, working with parents and teachers, and behavior management. Prerequisites: SPPA 4852 or SPPA 6052 , and graduate standing.
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SPPA 6229 - Medical Speech-Language Pathology
Units: 2
Issues pertaining to medical settings; acute, subacute and chronic care, hospice, tracheostomy tubes and vents, genetic syndromes, unusual medical diagnoses, infection control, IHPs, chart documentation, productivity standards, federal and state regulations, best practices, and working with medical professionals as a team. Prerequisites: SPPA 4852 or SPPA 6052 , and graduate standing.
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SPPA 6854 - Diagnosis of Speech and Language Disorders
Units: 4
Theory and practice in the assessment of various pathologies of speech and language. Prerequisites: Graduate standing and consent of instructor. Two hrs. lect., 6 hrs. lab.
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SPPA 6898 - Cooperative Education
Units: 1-4
Supervised work experience in which student completes academic assignments integrated with off campus paid or volunteer activities. Prerequisites: at least a 3.0 GPA; departmental approval of activity. Not applicable to the Speech-Language Pathology, M.S. May be repeated once, for a maximum of 8 units.
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SPPA 6900 - Independent Study
Units: 1-5
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SPPA 6910 - University Thesis
Units: 2-8
Development and writing of a formal research paper for submission to the University in the specified bound format. Supervision by a departmental committee, at least one of whom must be a Cal State East Bay faculty member. Oral defense normally required. (See also, “University Thesis Writing Guide,” www.csueastbay.edu/thesiswritingguide.) Prerequisites: Graduate standing. Maximum of 8 units per student.
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SPPA 6999 - Issues in Speech Pathology and Audiology
Units: 4
Readings, discussion, and research on contemporary and/or significant issues in speech pathology and audiology. May be repeated for credit when content varies, for a maximum of 8 units.
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Statistics |
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STAT 1000 - Elements of Probability and Statistics
Units: 5
Descriptive statistics (measures of central tendency, dispersion, correlation), elementary discrete probability distributions. Introduction to tests of statistical hypotheses. Prerequisites: Completion of ELM requirement. Not open to students with credit for STAT 2010 or STAT 2008. Must complete course with a grade of “C-” or better in order to earn General Education, Area B4, credit.
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STAT 2010 - Elements of Statistics for Business and Economics
Units: 5
Introduction to modern probability, descriptive statistics, estimation, hypothesis testing, and linear regression. Applications to business and economics. Prerequisites: Completion of ELM requirement. Not open to students with credit for STAT 1000 or 2008. Must complete course with a grade of “C-” or better in order to earn General Education, Area B4, credit.
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STAT 3010 - Statistical Methods in the Social Sciences
Units: 4
Standard scores, t scores, ranked data, linear regression, correlation, measures of association, the normal distribution and its uses, paired comparisons, the uses of chi-squared, and introduction to design of experiments. Prerequisites: STAT 1000 or equivalent.
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STAT 3031 - Statistical Methods in Biology
Units: 4
Basic probability and statistical concepts. Introduction to the analysis of variance, correlation, and simple linear regression. Nonparametric techniques with application to biology. Prerequisites: MATH 1130 or consent of instructor.
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STAT 3050 - Statistics: from Data to Decisions
Units: 4
Fundamentals of statistical reasoning illustrated with real data from such fields as biology, psychology, geology, anthropology, physics, medical technology. How to decide on an appropriate statistical method. Graphical methods, computer assisted analysis of data. Drawing conclusions. Projects with written reports. Prerequisites: STAT 1000 or equivalent. Not for credit in Statistics B.S. degree. Acceptable for credit in statistics minor.
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STAT 3088 - Gambling and Games of Chance
Units: 4
A survey of popular gambling games, including dice games, card games, and horse racing. Discussion of odds and probabilities, and how to turn those into gambling strategies. Prerequisites: Lower division quantitative reasoning, General Education Area B4, satisfied. Not for credit in Statistics B.S. degree.
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STAT 3401 - Introduction to Probability Theory I
Units: 4
The theory of probability with applications to science and engineering. Sample spaces; random variables; joint, marginal, conditional distributions; expectations; important distributions (binomial, Poisson, normal, etc.); and moment generating functions.
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STAT 3402 - Introduction to Probability Theory II
Units: 4
Generating functions and multivariate distributions. Conditioning. Chebyshev inequality and limit theorems. Multidimensional transformations of random variables. Derivation of t and F distributions. Uses of probability theory in mathematical statistics. Prerequisites: STAT 3401 or STAT 4412 .
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STAT 3502 - Statistical Inference I
Units: 4
Random variables, sampling distributions (binomial, Poisson, normal, exponential), conditional probability. Estimation, hypothesis testing. Computer-aided computations. Topics include: t-tests, correlation, regression; proportions, chi-squared; ANOVA. Prerequisites: MATH 1305 .
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STAT 3503 - Statistical Inference II
Units: 4
General linear hypothesis with emphasis on design and analysis of experiments. Data from science, engineering, and quality management. Factorial designs: random effects, nesting. Optional topics: incomplete blocks, missing data, analysis of covariance. Computer-aided analysis. Prerequisites: STAT 3502 or STAT 3601 .
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STAT 3510 - Sampling Procedures for Surveys
Units: 4
Detailed investigation of sampling methods. Design and comparisons of stratified, systematic, and cluster sampling procedures. Techniques of multistage and multiphase sampling. Emphasis on applications to social science. Prerequisites: STAT 1000 or equivalent.
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STAT 3601 - Statistics and Probability for Science and Engineering I
Units: 4
Basic probability rules (independence, Bayes’ Theorem), distributions (binomial, Poisson, normal, exponential), reliability. Descriptive, inferential statistics (control charts, estimation, hypothesis testing: one, two samples), correlation, regression. Emphasizes: computer analysis, simulation; science, engineering applications. Prerequisites: MATH 1305 . Cross-listed INDE 3601 . Not open to students with credit for STAT 3502 /ENGR 3502.
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STAT 3602 - Statistics and Probability for Science and Engineering II
Units: 4
General linear model with emphasis on design and analysis of experiments. Fixed and random effects and nested models. Power and sample size considerations. Emphasizes: computer analysis, simulation; science, engineering applications. Prerequisites: STAT 3502 or STAT 3601 /INDE 3601 . Cross-listed INDE 3602 . Not open to those with credit for STAT 3503 .
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STAT 3898 - Cooperative Education
Units: 1-4
Supervised work experience in which student completes academic assignments integrated with off-campus paid or volunteer activities. Prerequisites: At least 2.0 GPA; departmental approval of activity. May be repeated for credit, for a maximum of 8 units. A maximum of 4 units will be accepted toward the Statistics major.
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STAT 3900 - Data Analysis Using Statistical Packages
Units: 4
Using computer packages (e.g., SPSS, SAS) and interpreting output. Data preparation, descriptive statistics, graphs, checks for normality, t-tests, F-tests, ANOVA, cross tabulations, chi-squared tests, correlation, and report preparation. Prerequisites: A previous course in statistics.
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STAT 3910 - Statistical Software Usage
Units: 4
Using program code in a statistical software package (e.g., SPSS, R or SAS), producing reformatted data and statistical analysis. Topics may include graphics, creating and managing data files, and simulations. Prerequisites: A previous Statistics course and skill in computer usage.
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STAT 3999 - Issues in Statistics
Units: 4
Readings, discussion, and research on contemporary and/or significant issues in statistics. May be repeated for credit when content varies, for a maximum of 8 units.
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STAT 4000 - Analysis of Variance in the Behavioral Sciences
Units: 4
Review of elementary analysis of variance. Factorial analysis of variance, multiple comparisons, and repeated measures designs. Prerequisites: STAT 3010 or STAT 3031 .
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STAT 4013 - Statistics, Data Analysis, and Probability
Units: 4
(See MATH 4013 for course description.)
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STAT 4401 - Introduction to Stochastic Processes
Units: 4
Theory of stochastic models with applications to science and engineering. Markov processes. Elementary birth-death processes, queues. Limit theorems. Computer simulation. Applications: e.g., inventory models, reliability, epidemiology. Prerequisites: STAT 3401 /MATH 3401 or STAT 3601 /INDE 3601 .
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STAT 4412 - Probability Theory
Units: 4
Same spaces; random variables, joint, marginal, conditional distributions; expectations for modeling data; related use of computer packages; moment generating functions; transforming a random variable. Prerequisites: MATH 1305 . Not open to students with credit for STAT 3401 .
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STAT 4515 - Applied Multivariate Analysis
Units: 4
MANOVA, repeated measures designs, discriminant functions. May include factor analysis, canonical correlation, and cluster analysis. Computer intensive with special emphasis on treatment of actual data. Written reports required. Prerequisite or Co-requisite: Prerequisites or corequisites: STAT 3010 and STAT 3900 .
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STAT 4601 - Regression
Units: 4
Computational methods in regression, including variable construction, and ANOVA. Selection methods. Attention to model assessment, graphical techniques, and assumption checking. Emphasis on real data from science, engineering, and business. Computer-assisted analysis. Report writing. Prerequisite or Co-requisite: STAT 3503 or STAT 4000 .
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STAT 4603 - Operations Research II
Units: 4
Theory of stochastic models with applications to engineering. Markov processes, queues, birth-death processes. Operations research applications. Inventory models, risk theory, fatigue failure, and reliability. Computer simulation. Prerequisites: STAT 3602 /INDE 3602 . Not open to students with credit for STAT 3602 /INDE 3602 or STAT 4401 .
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STAT 4610 - Introduction to Nonparametric Statistical Methods
Units: 4
Nonparametric methods and distribution-free tests. Sign, Wilcoxon, rank-correlation, independence and randomness tests. Approximate distributions under the null hypothesis, treatment of ties, some estimation procedures. Emphasis on social science data. Prerequisites: STAT 3010 .
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STAT 4860 - Undergraduate Seminar
Units: 4
Seminar in probability and/or statistics on topics extending beyond regular courses. Variable content, units, and prerequisites specified at the time of offering. May be repeated two times for credit when content varies, for a maximum 12 units.
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STAT 4861 - Undergraduate Seminar
Units: 4
Seminar in probability and/or statistics on topics extending beyond regular courses. Variable content, units, and prerequisites specified at the time of offering. May be repeated two times for credit when content varies, for a maximum 12 units.
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STAT 4862 - Undergraduate Seminar
Units: 4
Seminar in probability and/or statistics on topics extending beyond regular courses. Variable content, units, and prerequisites specified at the time of offering. May be repeated two times for credit when content varies, for a maximum 12 units.
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STAT 4863 - Undergraduate Seminar
Units: 4
Seminar in probability and/or statistics on topics extending beyond regular courses. Variable content, units, and prerequisites specified at the time of offering. May be repeated two times for credit when content varies, for a maximum 12 units.
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STAT 4864 - Undergraduate Seminar
Units: 4
Seminar in probability and/or statistics on topics extending beyond regular courses. Variable content, units, and prerequisites specified at the time of offering. May be repeated two times for credit when content varies, for a maximum 12 units.
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STAT 4865 - Undergraduate Seminar
Units: 4
Seminar in probability and/or statistics on topics extending beyond regular courses. Variable content, units, and prerequisites specified at the time of offering. May be repeated two times for credit when content varies, for a maximum 12 units.
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STAT 4866 - Undergraduate Seminar
Units: 4
Seminar in probability and/or statistics on topics extending beyond regular courses. Variable content, units, and prerequisites specified at the time of offering. May be repeated two times for credit when content varies, for a maximum 12 units.
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STAT 4867 - Undergraduate Seminar
Units: 4
Seminar in probability and/or statistics on topics extending beyond regular courses. Variable content, units, and prerequisites specified at the time of offering. May be repeated two times for credit when content varies, for a maximum 12 units.
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STAT 4868 - Undergraduate Seminar
Units: 4
Seminar in probability and/or statistics on topics extending beyond regular courses. Variable content, units, and prerequisites specified at the time of offering. May be repeated two times for credit when content varies, for a maximum 12 units.
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STAT 4869 - Undergraduate Seminar
Units: 4
Seminar in probability and/or statistics on topics extending beyond regular courses. Variable content, units, and prerequisites specified at the time of offering. May be repeated two times for credit when content varies, for a maximum 12 units.
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STAT 4900 - Independent Study
Units: 1-4
May be repeated for credit with consent of instructor, for a maximum of 12 units.
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STAT 4910 - Advanced Statistical Package Usage
Units: 4
Programming in an advanced statistical software package, producing reformatted data, advanced statistical analysis, and probability modeling. Topics may include graphics, spatial statistics, creating and managing data files, simulations, approximation algorithms. Prerequisites: STAT 3502 , CS 1160 .
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STAT 4950 - Advanced Statistical Packages for Data Analysis
Units: 4
Programming and applying computer packages (e.g., SAS, S+). Data preparation and transformation, macros, descriptive statistics. Topics from diagnostics, t-procedures, ANOVA; nonparametrics; cross-tabulation, chi-squared, correlation, regression. Report writing. Prerequisites: STAT 3502 .
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STAT 4960 - R Programing
Units: 4
Data input, data output, data manipulation, use of libraries, data analysis methods, programming interfaces, graphics, functions using R. Prerequisites: STAT 3502 . Not open to students with credit for STAT 6260.
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Statistics: Graduate |
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STAT 5300 - Quality Engineering
Units: 4
(See ENGR 5300 for course description.)
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STAT 5601 - Introductory Statistics and Probability for Science and Engineering
Units: 4
Basic probability rules (independence, Bayes’ Theorem), distributions (binomial, Poisson, normal, exponential), reliability. Descriptive, inferential statistics (control charts, estimation, hypothesis testing: one, two samples), correlation, regression. Emphasizes: computer analysis, simulation; science, engineering applications. Prerequisites: MATH 1305 or departmental approval. Cross-listed ENGR 5601 . Not open to students with credit for STAT 3502 /ENGR 3502/MATH 3502.
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STAT 6010 - Applied Analysis of Variance
Units: 4
Elementary analysis of variance including multiple comparisons. Factorial analysis of variance, interactions, repeated measures designs, random effects designs. Computer-facilitated analyses. Analysis of real data and written report required. Prerequisites: STAT 3010 , STAT 3031 , or STAT 3502 . Not for credit in Statistics M.S. degree.
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STAT 6011 - Statistical Modeling for Management and Economics
Units: 4
Concepts in statistics for management and economics. Probability and statistical models. Rare events, waiting time, qualitative and quantitative models. Bayes theorem. Estimation, inference. Linear and nonlinear models. Emphasis on computer estimation of models with statistical analysis of errors and attention to model assumptions. Restricted to post-baccalaureate students. Co-requisites: MATH 1810 . Not for credit toward M.S. in Mathematics or Statistics.
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STAT 6020 - Statistical Methods in Clinical Trials
Units: 4
Experimental designs, statistical analyses, and clinical-scientific-regulatory issues common to clinical trials research. Includes writing analysis plan, conducting statistical analysis meeting constraints of regulatory agencies, reporting results, and data monitoring. Prerequisites: STAT 3503 , STAT 4000 , or STAT 6010 . Not for credit in Statistics M.S. degree.
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STAT 6059 - Advanced Statistical Methods Using Computing Packages
Units: 4
Using computer packages (e.g., SPSS) and interpreting output applied to social science and education. Data preparation, descriptive statistics, graphs, checks for normality, t-tests, F-tests, ANOVA, cross tabulations, chi-squared tests, and correlation. Report preparation. Prerequisites: STAT 2010 , STAT 3010 , STAT 3031 , or STAT 3502 /MATH 3502; postbaccalaureate/graduate standing. Not for credit in Statistics graduate program.
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STAT 6204 - Probability Theory
Units: 4
Theory of probability. Random variables; joint, marginal, conditional distributions; important distributions (binomial, Poisson, normal, etc.); moments; moment generating functions. Multivariate distributions. Inequalities; limit theorems. Multidimensional transformations; derivation of random variables. Prerequisites: MATH 2304 or admission to the graduate program.
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STAT 6205 - Statistical Theory
Units: 4
Maximum likelihood and least squares estimation, applications to one-sample, two-sample and regression problems, hypothesis testing, confidence intervals, significance level, bias, precision. Prerequisites: STAT 6204 .
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STAT 6250 - SAS Programming
Units: 4
Professional SAS programming techniques. Data management and processing. Data integrity. Graphical presentation of data. Data reporting techniques. Topics in applied statistics and biostatistics. Introduction to SAS data step, SAS Macros, SAS Reports, SAS SQL, and other relevant programming topics. Report Writing. Prerequisites: Current enrollment or completion of a graduate level course in statistics.
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STAT 6260 - R Programing
Units: 4
Data input, data output, data manipulation, use of libraries, simulation, data analysis methods, programming interfaces, graphics, functions using R. Prerequisites: STAT 6304 or consent of intructor. Dual-listed: STAT 4960.
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STAT 6300 - Applied Quality Assurance
Units: 4
(See ENGR 6300 for course description.)
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STAT 6304 - Advanced Statistical Inference
Units: 4
Random variables, sampling distributions, conditional probability. Expectation. Estimation, method of moments, maximum likelihood. Confidence intervals. Hypothesis testing. Computer-aided computations and simulations. Topics include: t-tests, correlation, regression, proportions, chi-squared, ANOVA, nonparametrics, bootstrapping. Prerequisites: MATH 1305 or admission to graduate program.
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STAT 6305 - Analysis of Variance Models
Units: 4
Models for factorial designs: expected mean squares, random effects, nesting, power/sample size, missing data, ANOVA. Model assessment. Computer-aided analysis. Report writing. Prerequisites: STAT 6304 .
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STAT 6310 - Advanced Stochastic Processes and Simulation
Units: 4
Theory of stochastic models. Markov chains: classification, limiting behavior. Continuous-time Markov processes: Poisson, birth-death. Simulations of processes and probability modeling. May include: additional limit theorems, queues, renewal theory, applications. Prerequisites: STAT 6205 .
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STAT 6401 - Advanced Probability I
Units: 4
Advanced treatment of probability theory and its applications. May include: conditioning, generating/characteristic functions, modes of convergence, limit theorems, renewal theory, Markov processes, combinatorial techniques, measure and integration. Prerequisites: MATH 2304 and (either STAT 3402 or STAT 4401 ); or admission to graduate program and STAT 6204 . Cross-listed MATH 6401 .
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STAT 6501 - Mathematical Statistics I
Units: 4
Theory of point and interval estimation and hypothesis testing, from the Neyman-Pearson point of view. May include: decision theory, non-parametric inference, sequential analysis, multivariate analysis, robustness, Bayesian methods, computer intensive methods. Prerequisites: STAT 6205 or graduate standing in mathematics. Cross-listed MATH 6501 , MATH 6502 .
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STAT 6502 - Mathematical Statistics II
Units: 4
Theory of point and interval estimation and hypothesis testing, from the Neyman-Pearson point of view. May include: decision theory, non-parametric inference, sequential analysis, multivariate analysis, robustness, Bayesian methods, computer intensive methods. Prerequisites: STAT 6205 or graduate standing in mathematics. Cross-listed MATH 6501 , MATH 6502 .
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STAT 6509 - Theory and Application of Regression
Units: 4
Theory of least squares in model fitting. Computational methods in regression, including variable selection, ANOVA and ANCOVA. Model assessment, graphical techniques and assumption checking. Computer-assisted analysis. Report writing. Prerequisite or Co-requisite: Prerequisite or corequisite: STAT 6305 .
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STAT 6510 - Analysis of Variance
Units: 4
The theory and application of the general linear model, the analysis of variance and covariance, application of generalized inverses and decomposition theorems from linear algebra. Prerequisites: MATH 2101 , and either STAT 3503 or STAT 6305 . Cross-listed MATH 6510.
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STAT 6511 - Advanced Applied Econometrics
Units: 4
(See ECON 6511 for course description.)
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STAT 6515 - Advanced Multivariate Analysis
Units: 4
Advanced, computer-intensive applications of multivariate analysis. Applications of linear algebra. Topics may include ANOVA, canonical correlation, discriminant functions, factor/cluster/spatial analysis. Emphasis on actual data, report writing. Prerequisites: STAT 6305 , and STAT 4950 or STAT 6250 , and MATH 2101 .
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STAT 6550 - Bayesian Statistics
Units: 4
Bayes Theorem, subjective probability, conjugate priors, non-informative priors, posterior estimation, credible intervals, prediction, sensitivity analysis, comparison to classical procedures, MCMC, Gibbs sampling, hierarchical Bayesian analysis. Use of statistical software. Report writing. Prerequisites: A graduate level course in Statistics or probability and an upper division course in computational statistics or computer science or consent of instructor. Co-requisites: One of prerequisites allowed as co-requisite.
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STAT 6555 - Statistical Time Series Analysis
Units: 4
Analysis of correlated data in time, trends, seasonal patterns, periodicity, autocorrelation, spectral analysis, filtering, time domain versus spectral domain. Decomposition, autoregression, ARIMA, state-space models, forecasting. Applications to data in economics, engineering, seismology. Use of statistical software. Report writing. Prerequisites: One course in upper division statistics or probability and statistical computing or consent of instructor.
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STAT 6601 - Advanced Statistical Computing
Units: 4
Implementation of computationally-advanced statistical methods. Topics may include: bootstrap, EM algorithm, Bayesian methods, Markov Chain, Monte Carlo, neural networks, recent methodological advances. Prerequisites: Senior or graduate standing, previous programming experience and one of: STAT 4950 , STAT 6250 , or STAT 6260 .
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STAT 6610 - Data Visualization
Units: 4
Methods used in data visualization and interactive exploration of big data. Topics include data merging and exporting, interactive GIS maps, elements of visual perception, effective graphs and charts, and meaningful visual representations of complex statistics and large data sets. Strongly Recommended: Experience with R or STAT 6260 . Prerequisites: STAT 6304 or consent of instructor.
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STAT 6620 - Statistical Learning with R
Units: 4
Introduction to machine learning, including supervised learning such as regression, logistic regression and classification methods. Re-sampling methods such as cross-validation and bootstrap. Unsupervised learning. Applications to data mining, statistical pattern recognition, and data processing. Strongly Recommended: Experience with R. Prerequisites: STAT 6509 , STAT 6260 .
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STAT 6651 - Analysis of Categorical Data in Biostatistics
Units: 4
(See BSTA 6651 for course description.)
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STAT 6801 - Statistical Consulting
Units: 4
Professional statistical consulting skills. Technical methods such as design of experiments and analysis of complex data. Professional data management and software practices will be covered. Interpersonal consulting skills will be emphasized. Real-life applications will be explored. Prerequisites: STAT 6250 , STAT 6305 , STAT 6509 and completion of the University Writing Skills Requirement.
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STAT 6843 - Selected Topics in Biostatistics
Units: 4
(See BSTA 6843 -BSTA 6849 for course description.)
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STAT 6844 - Selected Topics in Biostatistics
Units: 4
(See BSTA 6843 -BSTA 6849 for course description.)
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STAT 6845 - Selected Topics in Biostatistics
Units: 4
(See BSTA 6843 -BSTA 6849 for course description.)
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STAT 6846 - Selected Topics in Biostatistics
Units: 4
(See BSTA 6843 -BSTA 6849 for course description.)
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STAT 6847 - Selected Topics in Biostatistics
Units: 4
(See BSTA 6843 -BSTA 6849 for course description.)
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STAT 6848 - Selected Topics in Biostatistics
Units: 4
(See BSTA 6843 -BSTA 6849 for course description.)
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STAT 6849 - Selected Topics in Biostatistics
Units: 4
(See BSTA 6843 -BSTA 6849 for course description.)
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STAT 6851 - Selected Topics in Actuarial and Decision Science
Units: 4
Methods in actuarial and decision science extending beyond regular courses. Variable content to be specified at time of offering. Prerequisites: STAT 3402 or STAT 4401 . May be repeated for credit when content varies, for a maximum of 8 units.
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STAT 6852 - Selected Topics in Actuarial and Decision Science
Units: 4
Methods in actuarial and decision science extending beyond regular courses. Variable content to be specified at time of offering. Prerequisites: STAT 3402 or STAT 4401 . May be repeated for credit when content varies, for a maximum of 8 units.
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STAT 6853 - Selected Topics in Actuarial and Decision Science
Units: 4
Methods in actuarial and decision science extending beyond regular courses. Variable content to be specified at time of offering. Prerequisites: STAT 3402 or STAT 4401 . May be repeated for credit when content varies, for a maximum of 8 units.
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STAT 6854 - Selected Topics in Actuarial and Decision Science
Units: 4
Methods in actuarial and decision science extending beyond regular courses. Variable content to be specified at time of offering. Prerequisites: STAT 3402 or STAT 4401 . May be repeated for credit when content varies, for a maximum of 8 units.
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STAT 6855 - Selected Topics in Actuarial and Decision Science
Units: 4
Methods in actuarial and decision science extending beyond regular courses. Variable content to be specified at time of offering. Prerequisites: STAT 3402 or STAT 4401 . May be repeated for credit when content varies, for a maximum of 8 units.
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STAT 6856 - Selected Topics in Actuarial and Decision Science
Units: 4
Methods in actuarial and decision science extending beyond regular courses. Variable content to be specified at time of offering. Prerequisites: STAT 3402 or STAT 4401 . May be repeated for credit when content varies, for a maximum of 8 units.
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STAT 6857 - Selected Topics in Actuarial and Decision Science
Units: 4
Methods in actuarial and decision science extending beyond regular courses. Variable content to be specified at time of offering. Prerequisites: STAT 3402 or STAT 4401 . May be repeated for credit when content varies, for a maximum of 8 units.
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STAT 6858 - Selected Topics in Actuarial and Decision Science
Units: 4
Methods in actuarial and decision science extending beyond regular courses. Variable content to be specified at time of offering. Prerequisites: STAT 3402 or STAT 4401 . May be repeated for credit when content varies, for a maximum of 8 units.
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STAT 6859 - Selected Topics in Actuarial and Decision Science
Units: 4
Methods in actuarial and decision science extending beyond regular courses. Variable content to be specified at time of offering. Prerequisites: STAT 3402 or STAT 4401 . May be repeated for credit when content varies, for a maximum of 8 units.
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STAT 6860 - Selected Topics in Graduate Probability and Statistics
Units: 4
Probability and/or Statistics extending beyond regular courses. Variable content to be specified at time of offering. Prerequisites: Graduate standing and consent of instructor. May be repeated once for credit with consent of department and when content varies, for a maximum of 8 units.
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