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    May 16, 2024  
2014-2015 Georgia Regents University Graduate Catalog 
    
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2014-2015 Georgia Regents University Graduate Catalog [ARCHIVED CATALOG]

Course Descriptions

 

Special Education
  

  • SPED 7022 - Adv Behavior Analy & Research


    This course is designed to provide a forum for learning and applying principles of applied behavior analysis. Students will read current research related to positive behavior change using database searches and required readings. Students will demonstrate knowledge and skills by completing multiple intervention projects that include objective assessment, analysis of potential interventions identified in peer reviewed research, and data collection for baseline, intervention, and generalization over the course of the semester. These intervention projects will address problems in areas of communication, social, and academic functioning of children with disabilities.

    Grade Mode: Normal, Audit

    Prerequisites: PREREQUISITES: SPED6003

    Credit Hours: 3
    Contact Hours: 3 Lecture Hours: 3 Lab Hours: 0

    Level Restrictions: Graduate-Semester


    Click here for the Schedule of Classes.
  

  • SPED 7023 - Ethics and Issues in Special Education


    This course is designed to provide special educators with an intensive study of the CEC Code of Ethics and Standards for professional practice. Students will analyze the role of professional standards as they impact Special Educators throughout their careers. Students will examine current issues in the field and will gain in depth knowledge through coursework and an applied research project. Prerequisite(s): Enrollment in the Educational Specialist program.

    Grade Mode: Normal, Audit

    Credit Hours: 3
    Contact Hours: 3 Lecture Hours: 3 Lab Hours: 0

    Level Restrictions: Graduate Semester


    Click here for the Schedule of Classes.
  

  • SPED 7024 - Technical and Professional Writing


    SPED 7024 is an advanced course in grant and technical writing for future education specialists which includes: (a) analysis of the components of educational grants, (b) systematic instruction and practice in grant writing, (c) analysis and examples of successful grants, (d) grant writing methodologies, strategies, and techniques, (e) in-depth analysis and practice in the research process, (f) detailed instruction in APA-format and dissemination of research results, and (g) completion of a grantwriting project.

    Grade Mode: Normal, Audit

    Credit Hours: 3
    Contact Hours: 3 Lecture Hours: 3 Lab Hours: 0

    Level Restrictions: Graduate Semester


    Click here for the Schedule of Classes.
  

  • SPED 7025 - Independent Research


    This course is designed as part of the exit requirements in the Educational Specialist in Special Education program. In this course a graduate research project will be produced. It incorporates a competency-based research-to-practice project using data-based strategies and interventions in a special applied setting. 20 hours of field experience is required. Must be completed in the student’s final semester. Prerequisite(s): Enrollment in the Educational Specialist program.

    Grade Mode: Normal, Audit

    Credit Hours: 3
    Contact Hours: 3 Lecture Hours: 3 Lab Hours: 0

    Level Restrictions: Graduate Semester


    Click here for the Schedule of Classes.
  

  • SPED 7026 - Theory & Prac-Students/Autism


    SPED 7026 includes readings, lecture, discussion, and assignments designed to familiarize candidates with a wide variety of issues related to providing services for students with autism. The course provides experienced teachers an introduction to theory and practice working with individuals with autism. The first half of SPED 7026 is designed to give candidates a historical perspective on the development of the field of autism theory and intervention. The second half of the course uses knowledge about autism theory to study multiple intervention approaches for teaching children with autism. Candidates will assess needs, choose appropriate strategies, implement strategies, and objectively evaluate results for individual students with autism in authentic settings. Prerequisite(s): Enrollment in the Educational Specialist program.

    Grade Mode: Normal, Audit

    Credit Hours: 3
    Contact Hours: 3 Lecture Hours: 3 Lab Hours: 0

    Level Restrictions: Graduate-Semester


    Click here for the Schedule of Classes.
  

  • SPED 7027 - Transition to Adulthood for Individuals with Disabilities


    A course for educators and administrators who work with students with disabilities which includes an overview of transition history and development in the field of special education, discussion of research and best practice in transition policy, interagency collaboration and community-based instruction, methods for improving transition outcomes for students with disabilities ranging from mild to severe, and current issues in transition policy and legislation in special education.

    Grade Mode: Normal, Audit

    Credit Hours: 3
    Contact Hours: 3 Lecture Hours: 3 Lab Hours: 0

    Level Restrictions: Graduate Semester


    Click here for the Schedule of Classes.
  

  • SPED 7028 - Adv Assessment & Dir Instruct


    SPED 7028 is an advanced course in the assessment and direct instruction of students with learning difficulties. This course is designed for future education specialists and emphasizes: (a) the components of direct instruction, (b) systematic analysis of direct instruction techniques in language, reading, writing, math, & behavior, (c) assessment of student response, (d) direct instruction methodologies, strategies, and techniques and troubleshooting, (e) formal & informal assessment, (f) linking information gathering to classroom decision making, and (g) adapting instruction to improve outcomes. Prerequisite(s): Enrollment in the Educational Specialist program.

    Grade Mode: Normal, Audit

    Credit Hours: 3
    Contact Hours: 3 Lecture Hours: 3 Lab Hours: 0

    Level Restrictions: Graduate-Semester


    Click here for the Schedule of Classes.
  

  • SPED 7500 - Advan. Studies in Sp. Ed


    This course is designed for the in-service teacher who is at the post masters’ level; it provides an in-depth study of the cross-categorical model of service delivery for students with emotional/behavioral disorders, mild intellectual disabilities, and learning disabilities. Emphasis is on the similarities and differences of the three categories in historical treatment, definition, characteristics, incidence, prevalence etiology, and implications for teaching. Current issues and trends in special education will be studied.

    Grade Mode: Normal, Audit

    Credit Hours: 3
    Contact Hours: 3 Lecture Hours: 3 Lab Hours: 0

    Level Restrictions: Graduate-Semester


    Click here for the Schedule of Classes.
  

  • SPED 7501 - Internship in Interrelated Special Education


    This practicum is for the master teacher to demonstrate competence in the inter-related special education classroom. This practicum will represent a synthesis of knowledge being put into practice at the Specialist’s level.

    Grade Mode: Normal, Audit

    Credit Hours: 3
    Contact Hours: 3 Lecture Hours: 0 Lab Hours: 3

    Level Restrictions: Graduate Semester


    Click here for the Schedule of Classes.
  

  • SPED 7502 - Advanced Assessment/Instructional Development


    This course is designed for the in-service teacher who is at the post‑masters’ level; a school/community project involving a model of teaching, in‑service training sessions, or innovative practice in the field of special education will be designed, implemented, and evaluated by the student under the supervision of the major professor. The course emphasizes state of the art methods for assessing/teaching students in interrelated classrooms.

    Grade Mode: Normal, Audit

    Credit Hours: 3
    Contact Hours: 3 Lecture Hours: 3 Lab Hours: 0

    Level Restrictions: Graduate Semester


    Click here for the Schedule of Classes.
  

  • SPED 7950 - Special Topics in Special Education


    A course for educators in special or general education which will cover: the history and development of special education as a civil rights initiative; current legislation, policies, procedures, and regulations governing special education practice; an examination of the Individuals with Disabilities Education Improvement Act (IDEA); current issues and controversies regarding inclusion and collaborative teaching; and accountability and assessment for students with disabilities. Prerequisite(s): Enrollment in the Educational Specialist program

    Grade Mode: Normal, Audit

    Credit Hours: 3
    Contact Hours: 3 Lecture Hours: 3 Lab Hours: 0

    Level Restrictions: Graduate Semester


    Click here for the Schedule of Classes.

Statistics
  

  • STAT 6300 - Introduction to Epidemiology and Biostatistics


    This course serves as an introduction to epidemiology and biostatistics. The epidemiology portion of this course is intended to introduce students to epidemiology and its application to public health research and practice. It provides a conceptual foundation for further study of epidemiology; especially study design, quantitative concepts and methods, analysis, and interpretation. The biostatistics portion of this course offers an introduction to the basic statistical techniques used to analyze and interpret data in the biomedical, health sciences and related fields. Emphasis is on applications of these methods, with probability, discrete and continuous distribution, inferential statistics (estimation and hypothesis testing) for numeric and categorical data, non-parametric methods, analysis of variance, regression, and correlation topics covered.

    Grade Mode: Normal, Audit

    Credit Hours: 3
    Contact Hours: 3 Lecture Hours: 3


    Click here for the Schedule of Classes.
  

  • STAT 7010 - Biostatistics I


    This course offers an introduction to the basic statistical techniques used to analyze and interpret data in the health sciences and related fields. Emphasis is on application of these methods, with the following topics covered: graphical methods, probability, discrete and continuous distribution, inferential statistics (estimation and hypothesis testing) for numeric and categorical data, non-parametric methods, analysis of variance, regression, correlation and critical reading of the research literature.

    Grade Mode: Normal, Audit

    Credit Hours: 3
    Contact Hours: 3 Lecture Hours: 3 Lab Hours: 0 Other Hours: 0

    College Restrictions: The Graduate School Level Restrictions: Graduate Semester Degree Restrictions: Doctor of Philosophy, Master of Public Health, Master of Science


    Click here for the Schedule of Classes.
  

  • STAT 7020 - Biostatistics II


    This course is the second course in a two-course sequence in Biostatistics that offers an introduction to some of the more advanced statistical techniques used to analyze and interpret data in the health sciences and related fields. Emphasis is on applications of these methods. Topics include factorial ANOVA, multiple linear regression and correlation, ANCOVA, logistic regression, longitudinal data analysis, survival analysis, clinical trials, experimental design, epidemiology, diagnostic tests, and critical reading of the research.

    Grade Mode: Normal, Audit

    Credit Hours: 3
    Contact Hours: 3 Lecture Hours: 3 Lab Hours: 0 Other Hours: 0

    College Restrictions: The Graduate School Level Restrictions: Graduate Semester Class Restrictions: Graduate-Semester Degree Restrictions: Doctor of Philosophy, Master of Science


    Click here for the Schedule of Classes.
  

  • STAT 7040 - Biomedical Statistics


    This survey course offers an introduction to the majority of statistical techniques used to analyze and interpret data in the biomedical sciences and related fields. Emphasis is on applications of these methods, with the following topics covered: graphical methods, probability, discrete and continuous distributions, inferential statistics (estimation and hypothesis testing for the one and two-sample case) for numeric and categorical data, non-parametric methods, one-way ANOVA, simple linear regression, correlation, factorial ANOVA (fixed and random effects), multiple linear regression and correlation, ANCOVA, logistic regression, longitudinal data analysis, and survival analysis and the critical reading of the research literature. Prerequisites: College Algebra (Calculus highly recommended) or prior approval of course director.

    Grade Mode: Normal, Audit

    Credit Hours: 3
    Contact Hours: 3 Lecture Hours: 3 Lab Hours: 0 Other Hours: 0

    College Restrictions: Graduate Studies Campus Restrictions: Main campus Level Restrictions: Graduate Semester Class Restrictions: Graduate Degree Restrictions: Doctor of Philosophy, Master of Science


    Click here for the Schedule of Classes.
  

  • STAT 7050 - Research Design and Statistics


    The primary objective of this course is to provide students with an understanding of basic concepts and methods of statistical inference in the biomedical health sciences. Upon completion of the course, students should be able to understand, interpret, and critique the results of application of statistical techniques as found in the health sciences literature. This course is comprised of eight modules with voice-overs and remote administration/testing. Prerequisites: College algebra or permission of the instructor.

    Grade Mode: Satisfactory, Audit

    Credit Hours: 1
    Contact Hours: 1 Lecture Hours: 1 Lab Hours: 0 Other Hours: 0

    College Restrictions: Graduate Studies , Residents Campus Restrictions: Main campus


    Click here for the Schedule of Classes.
  

  • STAT 7060 - Research Design and Statistics


    The primary objective of this course is to provide students with an understanding of basic concepts and methods of statistical inference in the biomedical health sciences. Upon completion of the course, students should be able to understand, interpret, and critique the results of application of statistical techniques as found in the health sciences literature. This course is comprised of eight WebCT modules with voice-overs and remote administration/testing capabilities. Prerequisites: College algebra or permission of the instructor.

    Grade Mode: Satisfactory/Unsatisfactory, Audit

    Credit Hours: 1
    Contact Hours: 1 Lecture Hours: 1


    Click here for the Schedule of Classes.
  

  • STAT 7070 - Biomedical Statistics


    This course offers an introduction to the basic statistical techniques used to analyze and interpret data in the biomedical, health sciences and related fields. Emphasis is on applications of these methods, with graphical methods, probability, discrete and continuous distributions, inferential statistics (estimation and hypothesis testing) for numeric and categorical data, non-parametric methods, analysis of variance, regression, and correlation. Students will learn to use the NCSS microcomputer statistical software package.

    Grade Mode: Normal, Audit

    Credit Hours: 3
    Contact Hours: 3 Lecture Hours: 3

    College Restrictions: The Graduate School Level Restrictions: Graduate Semester


    Click here for the Schedule of Classes.
  

  • STAT 8110 - Introduction to Biostatistics


    Prerequisites: Calculus This course offers an introduction to the basic statistical techniques used to analyze and interpret data in the health sciences and related fields. Emphasis is on applications of these methods, with graphical statistics (estimation and hypothesis testing for the one and two-sample case) for numeric categorical data, non-parametric methods, analysis of variance, regression, and correlation.

    Grade Mode: Normal, Audit

    Credit Hours: 3
    Contact Hours: 3 Lecture Hours: 3 Lab Hours: 0 Other Hours: 0

    College Restrictions: The Graduate School Campus Restrictions: Main campus Level Restrictions: Graduate Semester Class Restrictions: Graduate-Semester Degree Restrictions: Doctor of Philosophy, Master of Science


    Click here for the Schedule of Classes.
  

  • STAT 8120 - Probability & Distributions


    This course covers basic probability theory, the concepts of random variables, univariate and multivariate distributions, discrete and continuous joint, marginal, and conditional distributions in general. Several specific probability distributions are covered in detail: normal, binomial, multinomial, Student’s t, F, chi-square. Expectation theorems, the law of large numbers, and the central limit theorem are also covered. Prerequisites: Calculus.

    Grade Mode: Normal, Audit

    Credit Hours: 3
    Contact Hours: 3 Lecture Hours: 3 Lab Hours: 0 Other Hours: 0

    College Restrictions: Graduate Studies Campus Restrictions: Main campus Level Restrictions: Graduate Semester Class Restrictions: Graduate Degree Restrictions: Doctor of Philosophy, Master of Science


    Click here for the Schedule of Classes.
  

  • STAT 8130 - Introduction to Epidemiology


    This course serves as an introduction to epidemiology. Topics include basic concepts, types of studies, description and analysis of epidemiologic data, and epidemiology in disease control.

    Grade Mode: Normal, Audit

    Credit Hours: 3
    Contact Hours: 3 Lecture Hours: 3 Lab Hours: 0 Other Hours: 0

    College Restrictions: The Graduate School Level Restrictions: Graduate Semester


    Click here for the Schedule of Classes.
  

  • STAT 8140 - Programming for Data Analy


    This course provides a hands-on exposure to programming, data management and report generation with one of the most popular statistical software packages.

    Grade Mode: Normal, Audit

    Credit Hours: 2
    Contact Hours: 2 Lecture Hours: 2 Lab Hours: 0 Other Hours: 0

    Campus Restrictions: Main campus Level Restrictions: Graduate Semester Class Restrictions: Graduate Degree Restrictions: Doctor of Philosophy, Master of Science


    Click here for the Schedule of Classes.
  

  • STAT 8210 - Linear Models I


    This course is a study of the general linear statistical model and the linear hypothesis. Topics include the multivariate normal distributions of quadratic forms, and parameter estimation and hypothesis testing for full-rank regression models. Variable selection, regression diagnostics and “dummy” variable coding will also be covered. Prerequisites: Knowledge of linear algebra.

    Grade Mode: Normal, Audit

    Credit Hours: 3
    Contact Hours: 3 Lecture Hours: 3 Lab Hours: 0 Other Hours: 0

    College Restrictions: Graduate Studies Campus Restrictions: Main campus Level Restrictions: Graduate Semester Class Restrictions: Graduate Degree Restrictions: Doctor of Philosophy, Master of Science


    Click here for the Schedule of Classes.
  

  • STAT 8220 - Est & Hypothesis Testing


    Prerequisites: Multivariable Calculus and Probability & Distributions. STAT 8120. Introduction to the theoretical properties of point estimators and tests of hypotheses. Sufficient statistics, likelihood, best linear unbiased estimates, elements of statistical tests, the Neyman-Pearson Lemma, UMP tests, univariate normal inference, decision theory and multivariate distributions are covered.

    Grade Mode: Normal, Audit

    Prerequisites: Prerequisites: STAT8120

    Credit Hours: 3
    Contact Hours: 3 Lecture Hours: 3 Lab Hours: 0 Other Hours: 0

    College Restrictions: Graduate Studies Campus Restrictions: Main campus Level Restrictions: Graduate Semester Class Restrictions: Graduate Degree Restrictions: Doctor of Philosophy, Master of Science


    Click here for the Schedule of Classes.
  

  • STAT 8230 - Experimental Design


    This course covers the basic principles of experimental design. It covers the concepts of randomization, blocking, replication and interaction. Various designs are covered and their strengths and weaknesses are illuminated. These designs include factorials, complete and incomplete designs, Latin and Greco-Latin square designs, and split-plot designs. Confounding and fractional replication is also covered.

    Grade Mode: Normal, Audit

    Prerequisites: Prerequisites: (STAT8110 >= C)

    Credit Hours: 3
    Contact Hours: 3 Lecture Hours: 3 Lab Hours: 0 Other Hours: 0

    College Restrictions: The Graduate School Campus Restrictions: Main campus Level Restrictions: Graduate Semester Class Restrictions: Graduate-Semester Degree Restrictions: Doctor of Philosophy, Master of Science


    Click here for the Schedule of Classes.
  

  • STAT 8240 - Introduction to Clinical Trials


    This introductory course will address basic and advanced statistical techniques used in clinical trials. Material presented will include the principles underlying the planning, management and implementation of clinical trials, the application of basic statistical methods used in the analysis of data from clinical trials, and the interpretation of results.

    Grade Mode: Normal, Audit

    Prerequisites: Prerequisites: STAT8110

    Credit Hours: 3
    Contact Hours: 3 Lecture Hours: 3


    Click here for the Schedule of Classes.
  

  • STAT 8260 - Design Analysis and Observational Studies


    Advantages and disadvantages of prospective and retrospective study designs; design and analysis issues in both cohort and case-control studies, including proper selection of study subjects, data quality, sources and types of bias, controlling for confounding, maximizing participation and minimizing loss to follow-up in prospective studies, power and sample size; statistical methods including categorical data analysis, logistic regression, Cox regression; use of statistical packages such as SAS and StatXact for analysis. Review and discussion of current representative studies.

    Grade Mode: Normal, Audit

    Prerequisites: Prerequisites: or STAT6300 or STAT7040 or STAT7070)

    Credit Hours: 3
    Contact Hours: 3 Lecture Hours: 3


    Click here for the Schedule of Classes.
  

  • STAT 8270 - Categorical Data Analysis


    This course focuses on statistical methods for analyzing categorical data; topics include inference for a single proportion; inference for two-way contingency tables; models for categorical response variables, including logistic and loglinear models; analysis of matched-pairs data; power and sample size considerations. Emphasis will be placed on methods and models most useful in health-related research.

    Grade Mode: Normal, Audit

    Prerequisites: Prerequisites: STAT8110

    Credit Hours: 3
    Contact Hours: 3 Lecture Hours: 3


    Click here for the Schedule of Classes.
  

  • STAT 8310 - Linear Models II


    This course is a continuation of Linear Models I, and covers the analysis of experiments using linear models. Single- and multiple-factor analysis of variance and analysis of covariance will be examined, including types of factor effects and analysis involving missing data. Topics of experimental design relevant to biomedical research will also be covered.

    Grade Mode: Normal, Audit

    Prerequisites: Prerequisites: STAT8210

    Credit Hours: 3
    Contact Hours: 3 Lecture Hours: 3 Lab Hours: 0 Other Hours: 0

    College Restrictions: Graduate Studies Campus Restrictions: Main campus Level Restrictions: Graduate Semester Class Restrictions: Graduate Degree Restrictions: Doctor of Philosophy, Master of Science


    Click here for the Schedule of Classes.
  

  • STAT 8311 - Demo & Analy Rates & Prop


    This course introduces students to the basics of demographic estimation and analysis and introduces students to those statistical methods useful in the analysis of rates and proportions.

    Grade Mode: Normal, Audit

    Prerequisites: Prerequisites: STAT8130

    Credit Hours: 3
    Contact Hours: 3 Lecture Hours: 3 Lab Hours: 0 Other Hours: 0

    College Restrictions: Graduate Studies Campus Restrictions: Main campus Level Restrictions: Graduate Semester Class Restrictions: Graduate Degree Restrictions: Doctor of Philosophy, Master of Science


    Click here for the Schedule of Classes.
  

  • STAT 8320 - Time to Event Data Analysis


    This course serves as an introduction to time-to-event (survival) data analysis. Both theory and applications are covered and methods include non-parametric, parametric, and semi-parametric (Cox model) approaches.

    Grade Mode: Normal, Audit

    Prerequisites: Prerequisites: STAT8110, STAT8120, STAT8220

    Credit Hours: 3
    Contact Hours: 3 Lecture Hours: 3 Lab Hours: 0 Other Hours: 0

    College Restrictions: Graduate Studies Campus Restrictions: Main campus Level Restrictions: Graduate Semester Class Restrictions: Graduate Degree Restrictions: Doctor of Philosophy, Master of Science


    Click here for the Schedule of Classes.
  

  • STAT 8321 - Statistical Models of Molecular Evolution and Phylogenetics


    Introduction to modeling DNA and protein evolution and to reconstructing evolutionary relationships from DNA and protein sequences. Statistical models are applied to comparisons of DNA and protein sequences to make inferences about their common ancestry and past evolutionary events.

    Grade Mode: Normal, Audit

    Prerequisites: Prerequisites: (STAT8120 >= C and STAT8220 >= C)

    Credit Hours: 3
    Contact Hours: 3 Lecture Hours: 3 Lab Hours: 0 Other Hours: 0

    College Restrictions: The Graduate School Campus Restrictions: Main campus Level Restrictions: Graduate Semester Class Restrictions: Graduate-Semester Degree Restrictions: Doctor of Philosophy, Master of Science


    Click here for the Schedule of Classes.
  

  • STAT 8330 - Special Topics in Biostat


    This course is designed to cover special topics in theory and methods of Biostatistics that are not covered in regular courses. The topics will depend on the research interest of the instructor and the students. Prerequisites: Permission of the Instructor.

    Grade Mode: Normal, Audit

    Credit Hours: 3
    Contact Hours: 3 Lecture Hours: 3 Lab Hours: 0 Other Hours: 0

    Campus Restrictions: Main campus Level Restrictions: Graduate Semester Class Restrictions: Graduate Degree Restrictions: Doctor of Philosophy, Master of Science


    Click here for the Schedule of Classes.
  

  • STAT 8331 - Mendelian Genetics


    The analysis of frequencies of single Mendelian genes within populations including Hardy-Weinberg equilibrium, non-random mating, admixture/subdivision, linkage equilibrium, selection/mutation, likelihood estimation, latent variables and the EM algorithm, pedigree analysis and genetic identify, linkage analysis.

    Grade Mode: Normal, Audit

    Prerequisites: Prerequisites: (STAT8220 >= C)

    Credit Hours: 3
    Contact Hours: 3 Lecture Hours: 3 Lab Hours: 0 Other Hours: 0

    College Restrictions: The Graduate School Campus Restrictions: Main campus Level Restrictions: Graduate Semester Class Restrictions: Graduate-Semester Degree Restrictions: Doctor of Philosophy, Master of Science


    Click here for the Schedule of Classes.
  

  • STAT 8340 - Readings and Research


    This course consists of readings and research in the current biostatistical literature, advanced topics in biostatistical theory and methods, and a supervised research project which will potentially lead to publications and/or presentations. Prerequisite: Permission of instructor.

    Grade Mode: Satisfactory, Audit

    Credit Hours: 1 to 6
    Contact Hours: 1 to 6 Lecture Hours: 1 to 6 Lab Hours: 0 Other Hours: 0

    Campus Restrictions: Main campus Level Restrictions: Graduate Semester Class Restrictions: Graduate Degree Restrictions: Doctor of Philosophy, Master of Science


    Click here for the Schedule of Classes.
  

  • STAT 8341 - Intro to Clinical Trials


    This introductory course will address basic and advanced statistical techniques used in clinical trials. Material presented will include the principles underlying the planning, management and implementation of clinical trials, the application of basic statistical methods used in the analysis of data from clinical trials, and the interpretation of results.

    Grade Mode: Normal, Audit

    Credit Hours: 3
    Contact Hours: 3 Lecture Hours: 3 Lab Hours: 0 Other Hours: 0

    College Restrictions: Graduate Studies Campus Restrictions: Main campus Level Restrictions: Graduate Semester Class Restrictions: Graduate Degree Restrictions: Doctor of Philosophy, Master of Science


    Click here for the Schedule of Classes.
  

  • STAT 8350 - Epidemic Modeling


    This course serves as an introduction to types of epidemiological studies and covers modeling of various types of epidemics.

    Grade Mode: Normal, Audit

    Prerequisites: Prerequisites: STAT8130 and STAT8270

    Credit Hours: 3
    Contact Hours: 3 Lecture Hours: 3


    Click here for the Schedule of Classes.
  

  • STAT 8360 - Systematic Reviews


    This course covers systematic reviews of the literature for controlled clinical trials and observational studies. Statistical methods and computer software is reviewed and how to use systematic reviews in practice is detailed. Topics to be covered are introduction to systematic reviews and meta analysis, systematic reviews of controlled clinical trials, investigating variability between studies, systematic reviews of observational studies, statistical methods and computer software, using systematic reviews in practice, the Cochrane collaboration, and other evidence-based medicine topics.

    Grade Mode: Normal, Audit

    Prerequisites: Prerequisites: STAT8240

    Credit Hours: 3
    Contact Hours: 3 Lecture Hours: 3


    Click here for the Schedule of Classes.
  

  • STAT 8370 - Intermediate Epidemiology


    Illustrates concepts, methods, and strategies used in epidemiology studies, beyond the principles discussed in Basic Epidemiology Courses. Topics include basic study designs, analysis of birth cohorts, measures of disease frequency and association, bias, confounding, effect modification and interaction, stratification and adjustment, quality control, and reporting of epidemiologic results. In the laboratory exercises, students work in small groups, further considering and discussing the topics and concepts covered in lectures.

    Grade Mode: Normal, Audit

    Prerequisites: Prerequisites: STAT8110 and STAT8130

    Credit Hours: 3
    Contact Hours: 3 Lecture Hours: 3

    College Restrictions: The Graduate School Level Restrictions: Graduate Semester


    Click here for the Schedule of Classes.
  

  • STAT 8390 - Seminar in Clinical and Translational Science


    This course consists of clinical and translational research seminars by MCG faculty members and visiting researchers. Students will have an opportunity to talk to each speaker informally and to serve as hosts to visiting scientists.

    Grade Mode: Satisfactory/Unsatisfactory

    Credit Hours: 2
    Contact Hours: 2 Lecture Hours: 2


    Click here for the Schedule of Classes.
  

  • STAT 8400 - Mentored Research in Clinical and Translational Science


    Prerequisite: Permission of Clinical and Translational Science Program The student works closely with his/her faculty mentors and Advisory Committee on an in-depth study of a research question of interest to both student and mentors. The course may be repeated as necessary until the student completes the research.

    Grade Mode: Satisfactory/Unsatisfactory, Audit

    Credit Hours: 1 to 12
    College Restrictions: The Graduate School Level Restrictions: Graduate Semester


    Click here for the Schedule of Classes.
  

  • STAT 8410 - Generalized Linear Models (GLMS)


    Prerequisites: All other biostatistics courses except Time-To-Event Data Analysis - STAT 8320. This course serves as an introduction to Generalized Linear Models (GLMs). It instructs students in a unifying theory that combines the areas of linear models, non-linear models, regression, categorical data, and analysis of variance.

    Grade Mode: Normal, Audit

    Credit Hours: 3
    Contact Hours: 3 Lecture Hours: 3 Lab Hours: 0 Other Hours: 0

    College Restrictions: The Graduate School Campus Restrictions: Main campus Level Restrictions: Graduate Semester Class Restrictions: Graduate-Semester Degree Restrictions: Doctor of Philosophy, Master of Science


    Click here for the Schedule of Classes.
  

  • STAT 8412 - Epidemic Modeling


    This course serves as an introduction to types of epidemiological studies and covers modeling of various types of epidemics.

    Grade Mode: Normal, Audit

    Prerequisites: Prerequisites: STAT8130, STAT8311

    Credit Hours: 3
    Contact Hours: 3 Lecture Hours: 3 Lab Hours: 0 Other Hours: 0

    College Restrictions: Graduate Studies Campus Restrictions: Main campus Level Restrictions: Graduate Semester Class Restrictions: Graduate Degree Restrictions: Doctor of Philosophy, Master of Science


    Click here for the Schedule of Classes.
  

  • STAT 8422 - Biological Sequence Analysis


    Introduction to statistical methods in the analysis of DNA and protein sequence data. This course exposes students to applications of statistical theory to assembling biological sequences, making inferences about single sequences, and comparing two or more sequences. Statistical foundations of BLAST tests are covered.

    Grade Mode: Normal, Audit

    Prerequisites: Prerequisites: (STAT8120 >= C and STAT8220 >= C and STAT8321 >= C)

    Credit Hours: 3
    Contact Hours: 3 Lecture Hours: 3 Lab Hours: 0 Other Hours: 0

    Campus Restrictions: Main campus Level Restrictions: Graduate Semester Class Restrictions: Graduate-Semester Degree Restrictions: Doctor of Philosophy, Master of Science


    Click here for the Schedule of Classes.
  

  • STAT 8432 - Quantitative Genetics


    The statistical analysis of complex phenotypes. Topics include genotypic value, genetic variance, and linear models. Environmental variance, genotype by environment interaction, threshold models and generalized linear mixed models, mapping quantitative trait loci (QTL), and variance component estimation.

    Grade Mode: Normal, Audit

    Prerequisites: Prerequisites: (STAT8331 >= C)

    Credit Hours: 3
    Contact Hours: 3 Lecture Hours: 3 Lab Hours: 0 Other Hours: 0

    College Restrictions: The Graduate School Campus Restrictions: Main campus Level Restrictions: Graduate Semester Class Restrictions: Graduate-Semester Degree Restrictions: Doctor of Philosophy, Master of Science


    Click here for the Schedule of Classes.
  

  • STAT 8442 - Design Analy Clinical Trials


    This course will address advanced statistical techniques used in the design and analysis of both clinical and sequential trials.

    Grade Mode: Normal, Audit

    Prerequisites: Prerequisites: STAT8110, STAT8120, STAT8210, STAT8220, STAT8310, STAT8341

    Credit Hours: 3
    Contact Hours: 3 Lecture Hours: 3 Lab Hours: 0 Other Hours: 0

    College Restrictions: Graduate Studies Campus Restrictions: Main campus Level Restrictions: Graduate Semester Class Restrictions: Graduate Degree Restrictions: Doctor of Philosophy, Master of Science


    Click here for the Schedule of Classes.
  

  • STAT 8510 - Programming for Data Analysis


    This course provides a hands-on exposure to programming, data management and report generation with one of the most popular statistical software packages. Prerequisite: College algebra

    Grade Mode: Normal, Audit

    Credit Hours: 3
    Contact Hours: 4 Lecture Hours: 3 Lab Hours: 1


    Click here for the Schedule of Classes.
  

  • STAT 8513 - Systematic Reviews


    This course covers systematic reviews of the literature for controlled clinical trials and observational studies. Statistical methods and computer software is reviewed and how to use systematic reviews in practice is detailed. Topics to be covered are introduction to systematic reviews and meta analysis, systematic reviews of controlled clinical trials, investigating variability between studies, systematic reviews of observational studies, statistical methods and computer software, using systematic reviews in practice, the Cochrane collaboration, and other evidence-based medicine topics.

    Grade Mode: Normal, Audit

    Prerequisites: Prerequisites: STAT8341

    Credit Hours: 3
    Contact Hours: 3 Lecture Hours: 3 Lab Hours: 0 Other Hours: 0

    College Restrictions: Graduate Studies Campus Restrictions: Main campus Level Restrictions: Graduate Semester Class Restrictions: Graduate Degree Restrictions: Doctor of Philosophy, Master of Science


    Click here for the Schedule of Classes.
  

  • STAT 8520 - Statistical Theory I


    Fundamentals of random variables and probability theory; discrete and continuous distributions; exponential families; joint, marginal, and conditional distributions; functions of random variables; transformation and change of variables; order statistics; convergence concepts; central limit theorem; sampling distributions. Prerequisites: Multivariable Calculus and Matrix Algebra.

    Grade Mode: Normal, Audit

    Credit Hours: 3
    Contact Hours: 3 Lecture Hours: 3


    Click here for the Schedule of Classes.
  

  • STAT 8523 - Analysis of Microarray Gene Expression Data


    Introduction to modeling and analyzing expression data of microarrays. Methods of cluster analysis will be covered as ways to attempt to group genes of the same biochemical pathways together. Students will also learn to test hypotheses related to microarray designs, with emphasis on determining which genes are differentially expressed between two populations.

    Grade Mode: Normal, Audit

    Prerequisites: Prerequisites: (STAT8120 >= C and STAT8220 >= C and STAT8321 >= C)

    Credit Hours: 3
    Contact Hours: 3 Lecture Hours: 3 Lab Hours: 0 Other Hours: 0

    College Restrictions: The Graduate School Campus Restrictions: Main campus Level Restrictions: Graduate Semester Class Restrictions: Graduate-Semester Degree Restrictions: Doctor of Philosophy, Master of Science


    Click here for the Schedule of Classes.
  

  • STAT 8533 - Medical Genetics and Genetic Epidemiology


    Advanced statistical analyses specific for medical and health data and designs involving humans. Topics included are linkage analyses, association studies, linkage disequilibrium mapping, segregation analyses, and gene and environment interaction.

    Grade Mode: Normal, Audit

    Prerequisites: Prerequisites: (STAT8432 >= C)

    Credit Hours: 3
    Contact Hours: 3 Lecture Hours: 3 Lab Hours: 0 Other Hours: 0

    College Restrictions: The Graduate School Campus Restrictions: Main campus Level Restrictions: Graduate Semester Class Restrictions: Graduate-Semester Degree Restrictions: Doctor of Philosophy, Master of Science


    Click here for the Schedule of Classes.
  

  • STAT 8550 - High Throughput Data Analysis


    This course will cover quality assessment and normalization of arrays; Summarization of various array-based assays: CGH, ChIP and methylation; Issues for high-throughput sequencing data; Tests of significance and multiple comparisons; Multivariate analysis of pathways and GO functional groups.

    Grade Mode: Normal, Audit

    Prerequisites: Prerequisites: STAT8520

    Credit Hours: 3
    Contact Hours: 3 Lecture Hours: 3


    Click here for the Schedule of Classes.
  

  • STAT 8600 - Biostat Consulting in Res


    This course is designed for students to gain practical experience in integration of statistical theory and application in current research, systematic formulation of problems, data format, collection procedures, design, analysis, interpretation and communication of results. A project write-up will be required at the conclusion of each project. Course Prerequisites: All core biostatistics courses (except STAT8320) and one of the three elective module courses.

    Grade Mode: Satisfactory, Audit

    Credit Hours: 3 to 11
    Contact Hours: 0 Lecture Hours: 0 Lab Hours: 0 Other Hours: 0

    Campus Restrictions: Main campus Level Restrictions: Graduate Semester Class Restrictions: Graduate Degree Restrictions: Doctor of Philosophy, Master of Science


    Click here for the Schedule of Classes.
  

  • STAT 8610 - Applied Linear Models I


    This course will continue the investigation of simple linear regression from the introduction to Biostatistics course with extension to multiple linear regression models. Model selection, validation, diagnostics and remedial measures will be covered. SAS will be used for applying these methods to biomedical data.

    Grade Mode: Normal, Audit

    Prerequisites: Prerequisites: STAT8110, STAT8510, STAT8520

    Credit Hours: 3
    Contact Hours: 3 Lecture Hours: 3


    Click here for the Schedule of Classes.
  

  • STAT 8620 - Statistical Theory II


    Point and interval estimation; hypothesis and significance testing maximum likelihood and moment estimators; Bayes estimators; unbiased estimators; sufficiency and completeness; Fisher information; uniformly most powerful tests; likelihood ratio tests; asymptotic inference; introduction to Bayesian inference.

    Grade Mode: Normal, Audit

    Prerequisites: Prerequisites: STAT8520

    Credit Hours: 3
    Contact Hours: 3 Lecture Hours: 3


    Click here for the Schedule of Classes.
  

  • STAT 8630 - Applied Linear Models


    This course will cover simple linear regresssion with extension to multiple linear regression models including model selection, validation, diagnostics and remedial measures. Additionally, one-way analysis of variance (ANOVA), multiple treatment comparisons, factorial ANOVA, randomized complete-block designs, analysis of covariance (ANCOVA), ANOVA with unbalanced data, fixed-/random-/mixed-effect models, repeated-measures designs, and nested designs. SAS will be used for applying these methods to biomedical data.

    Grade Mode: Normal, Audit

    Prerequisites: Prerequisites: STAT8110 and STAT8510 and STAT8520

    Credit Hours: 3
    Contact Hours: 3 Lecture Hours: 3


    Click here for the Schedule of Classes.
  

  • STAT 8640 - Generalized Linear Models I


    Fitting of generalized linear models, diagnostics, contingency tables, categorical data analysis, measures of agreement, asymptotic theory, overdispersion, quasi-likelihood, multicategorical responses, estimating equations, generalized linear mixed models.

    Grade Mode: Normal, Audit

    Prerequisites: Prerequisites: STAT8620 and STAT8630

    Credit Hours: 3
    Contact Hours: 3 Lecture Hours: 3


    Click here for the Schedule of Classes.
  

  • STAT 8650 - Introduction to Stochastic Processes


    Finite probability models, Markov chains, martingales, random walk, Possion processes, model elements of renewal and reliability theory, Brownian motion, stochastic differential equations.

    Grade Mode: Normal, Audit

    Prerequisites: Prerequisites: STAT8520

    Credit Hours: 3
    Contact Hours: 3 Lecture Hours: 3


    Click here for the Schedule of Classes.
  

  • STAT 8710 - Applied Linear Models II


    One-way analysis of variance (ANOVA), multiple treatment comparisons, ANOVA diagnostics, factorial ANOVA, randomized complete block designs, analysis of covariance (ANCOVA), ANOVA with unbalanced data, random and mixed effect models, repeated measures designs, nested designs and response surface methods.

    Grade Mode: Normal, Audit

    Prerequisites: Prerequisites: STAT8610, STAT8620

    Credit Hours: 3
    Contact Hours: 3 Lecture Hours: 3


    Click here for the Schedule of Classes.
  

  • STAT 8720 - Survival Analysis


    This course offers an introduction to the analysis of observed times to events, e.g., times to death (survival times). The course focuses on methods of regression generalized to the case of censored survival data. Regression models studied include non-parametric (Kaplan-Meier), semi-parametric (Cox’s PH Model), and parametric regression models (Exponential, Weibull, Log-Logistic, & others). Other topics covered include model development, model adequacy, extensions to the Cox PH model, recurrent event models and frailty models.

    Grade Mode: Normal, Audit

    Prerequisites: Prerequisites: STAT8620 and STAT8630

    Credit Hours: 3
    Contact Hours: 3 Lecture Hours: 3


    Click here for the Schedule of Classes.
  

  • STAT 8740 - Design and Analysis of Clinical Trials


    This course will address advanced statistical techniques used in the design and analysis of both clinical and sequential trials.

    Grade Mode: Normal, Audit

    Prerequisites: Prerequisites: STAT8630 and STAT8130

    Credit Hours: 3
    Contact Hours: 3 Lecture Hours: 3


    Click here for the Schedule of Classes.
  

  • STAT 8750 - Introduction to Genetic Analysis


    In addition to providing a basic introduction to genetics, this course also aims to connect fundamental principles of biology and genetics, and evolution to mathematical and statistical models used in genetic research. This course is a prerequisite for more advanced courses in statistical and population genetics (e.g. genetic analysis laboratory, statistical aspects of human population genetics, genetics in epidemiology, and theoretical basis of genetic analysis). By the end of the course, students are expected to have acquired a genetics vocabulary, to be familiar with single locus and multilocus inheritance, to have a broad understanding of the different types of genetic variation and how each could contribute to phenotypic variation in heritable traits, and most importantly, to have a basic understanding of how any of these concepts could be quantified in statistical and/or mathematical models. The course format will consist of lectures, discussions, and homework assignments.

    Grade Mode: Normal, Audit

    Prerequisites: Prerequisites: STAT8630

    Credit Hours: 3
    Contact Hours: 3 Lecture Hours: 3


    Click here for the Schedule of Classes.
  

  • STAT 8870 - Biostatistical Consulting in Research


    This course is designed for student to gain practical experience in integration of statistical theory and application in current research, systematic formulation of research problems, data formatting, data collection, study design, data analysis, and interpretation and communication of results.

    Grade Mode: Normal, Audit

    Prerequisites: Prerequisites: STAT8130 and STAT8620 and STAT8630

    Credit Hours: 3
    Contact Hours: 3 Lecture Hours: 3


    Click here for the Schedule of Classes.
  

  • STAT 8880 - Special Topics


    This course is designed to cover special topics in theory and methods of Biostatistics that are not covered in regular courses. The topics will depend on the research interests of the instructor and the students.

    Grade Mode: Normal

    Credit Hours: 1 to 3
    Contact Hours: 3 Lecture Hours: 3


    Click here for the Schedule of Classes.
  

  • STAT 8890 - Readings and Research


    Prerequisites: Permission of instructor This course consists of readings and research in the current biostatistical literature, advanced topics in biostatistical theory and methods, and a supervised research project which will potentially lead to publications and/or presentations.

    Grade Mode: Satisfactory/Unsatisfactory, Audit

    Credit Hours: 1 to 12
    Contact Hours: 1 to 12 Lab Hours: 1 to 12

    College Restrictions: The Graduate School Level Restrictions: Graduate Semester


    Click here for the Schedule of Classes.
  

  • STAT 8910 - Biostatistical Consulting Project


    Required course for Master of Science students who choose the Non-Thesis Option. Consists of one or more consulting project write-up(s), directed by a Biostatistics faculty member. A formal oral presentation is required at the conclusion of the consulting project(s).

    Grade Mode: Satisfactory/Unsatisfactory, Audit

    Credit Hours: 1 to 9
    Contact Hours: 1 to 9 Lab Hours: 1 to 9


    Click here for the Schedule of Classes.
  

  • STAT 8920 - Thesis Research


    Prerequisite: Consent of Major Advisor. The thesis project for the MS program will be for two types: (i) use of established but state-of-the-art statistical tools to analyze and report on collected data sets; or (ii) a rigorous review of statistical literature, possibly involving a small amount of methodological research, that has potential use in complex biomedical data analysis.

    Grade Mode: Satisfactory/Unsatisfactory, Audit

    Credit Hours: 1 to 9


    Click here for the Schedule of Classes.
  

  • STAT 9000 - Thesis Research


    The thesis project for the MS program will be of two types: 1) Use of established but state-of -the-art statistical tools to analyze and report on collected data sets or 2) A rigorous review of statistical literature, possibly involving a small amount of methodological research, that has potential use in complex biomedical data analysis. Course Prerequisites: All core biostatistics courses (except STAT8320) and one of the three elective module courses.

    Grade Mode: Satisfactory

    Credit Hours: 3 to 11
    Contact Hours: 0 Lecture Hours: 0 Lab Hours: 0 Other Hours: 0

    College Restrictions: Graduate Studies Program Restrictions: MS_BIOS-Biostatistics Campus Restrictions: Main campus Level Restrictions: Graduate Semester Class Restrictions: Graduate Degree Restrictions: Master of Science


    Click here for the Schedule of Classes.
  

  • STAT 9110 - Generalized Linear Models


    Fitting of generalized linear models, diagnostics, asymptotic theory, over-dispersion, quasi-likelihood, multi-categorical responses, estimating equations, generalized linear mixed models.

    Grade Mode: Normal, Audit

    Prerequisites: Prerequisites: STAT8710 and STAT8720

    Credit Hours: 3
    Contact Hours: 3 Lecture Hours: 3

    College Restrictions: The Graduate School Level Restrictions: Graduate Semester


    Click here for the Schedule of Classes.
  

  • STAT 9120 - Theory of Linear Models


    This course is a study of the general linear statistical model. Topics include the analysis of linear models in univariate data, distributions of quadratic forms, full rank linear models and fixed effect models of less that full rank. Both balanced and unbalanced random and mixed models will also be covered.

    Grade Mode: Normal, Audit

    Prerequisites: Prerequisites: STAT8630 and STAT8620

    Credit Hours: 3
    Contact Hours: 3 Lecture Hours: 3

    College Restrictions: The Graduate School Level Restrictions: Graduate Semester


    Click here for the Schedule of Classes.
  

  • STAT 9140 - Generalized Linear Models II


    Fitting of Bayesian generalized linear models, contingency tables, and survival models, model reduction techniques, clustered and longitudinal data with vector-valued responses, homogeneity tests, measures of similarity.

    Grade Mode: Normal, Audit

    Prerequisites: Prerequisites: STAT8640

    Credit Hours: 3
    Contact Hours: 3 Lecture Hours: 3


    Click here for the Schedule of Classes.
  

  • STAT 9150 - Advanced Statistical Methods in Genetic Analysis I


    Statistical methods for describing variation in qualitative and quantitative (disease) traits, including decomposition of trait variation into components representing genes, environment and gene-environment interaction. Topics include transmission of genes in populations, heritability, polygenic and multi-factorial traits, complex segregations analysis, methods of mapping and characterizing simple and complex trait loci, pedigree analysis, variance components estimation, likelihood based and Bayesian interval mapping, epistasis, and use of public domain genetic analysis software.

    Grade Mode: Normal, Audit

    Prerequisites: Prerequisites: STAT8640

    Credit Hours: 3
    Contact Hours: 3 Lecture Hours: 3

    College Restrictions: The Graduate School Level Restrictions: Graduate Semester


    Click here for the Schedule of Classes.
  

  • STAT 9160 - Analysis of Clustered and Correlated Data


    Advanced topics in the analysis of clustered and correlated data, including correlation analysis, tests of correlation and covariance structure, repeated measures analysis, measures of agreement, and cluster-randomized trials. Instruction will be given in the proper use of software to carry out the analyses. Emphasis will be placed on methods and models most useful in clinical research.

    Grade Mode: Normal, Audit

    Prerequisites: Prerequisites: STAT8630

    Credit Hours: 3
    Contact Hours: 3 Lecture Hours: 3

    College Restrictions: The Graduate School Level Restrictions: Graduate Semester


    Click here for the Schedule of Classes.
  

  • STAT 9170 - Advanced Computational Methods


    This course covers modern computational issues important for implementing statistical methods that are not part of an existing statistical package. The methods covered are important for both method development and method implementation. As such, the course is designed for biostatistics students who want to focus on methods development or collaborative research, as well as for quantitative science students, such as in bioinformatics. Course Prerequisites: STAT 8610 and STAT 8210 and STAT 8620 or STAT 8220 or approval from course director.

    Grade Mode: Normal, Audit

    Prerequisites: Prerequisites: STAT8620 and STAT8630

    Credit Hours: 3
    Contact Hours: 3 Lecture Hours: 3

    College Restrictions: The Graduate School Level Restrictions: Graduate Semester


    Click here for the Schedule of Classes.
  

  • STAT 9220 - Advanced Statistical Inference


    Prerequisites: STAT 8620 Families of models, likelihood, sufficiency, significance tests, composite null and alternative hypotheses, similar regions, invariant test, interval estimation, point estimation, bias and variance, Cramer-Rao inequality, asymptotic theory, large-sample inference, likelihood ratio test, score test, Wald’s test.

    Grade Mode: Normal, Audit

    Prerequisites: Prerequisites: STAT8620

    Credit Hours: 3
    Contact Hours: 3 Lecture Hours: 3

    College Restrictions: The Graduate School Level Restrictions: Graduate Semester


    Click here for the Schedule of Classes.
  

  • STAT 9230 - Nonparametric and Robust Statistical Methods


    Prerequisites: STAT 8620 and STAT 9170 Non-parametric statistical methods, including rank-based methods for testing location and dispersion for one-, two-, and more than two-sample designs, as well as non-parametric measures of association; robust estimation methods, with emphasis on robust analogs of the mean, standard deviation, and third-moment skewness. Students will be introduced to non-parametric resampling techniques (bootstrapping and permutation methods), which will be used with robust estimation to test hypotheses. Extensive use of computer-intensive estimation and hypothesis testing procedures.

    Grade Mode: Normal, Audit

    Prerequisites: Prerequisites: STAT8620 and STAT9170

    Credit Hours: 3
    Contact Hours: 3 Lecture Hours: 3

    College Restrictions: The Graduate School Level Restrictions: Graduate Semester


    Click here for the Schedule of Classes.
  

  • STAT 9240 - Bayesian Inference


    This course introduces Bayesian methods for statistical inferences. We will look over concepts of Bayesian theories and Bayesian coomputational tools. Mainly we will follow up Markov chain Monte Carlo (MCMC) sampling methods including independent samplings (rejection sampling, importance sampling) and dependent samplings (Metropolis-Hastings, Gibbs sampling, slice sampling, and sequential Monte Carlo methods). These MCMC methods can be utilized in the final project.

    Grade Mode: Normal, Audit

    Prerequisites: Prerequisites: STAT8620

    Credit Hours: 3
    Contact Hours: 3 Lecture Hours: 3


    Click here for the Schedule of Classes.
  

  • STAT 9250 - Advanced Statistical Methods in Genetic Analysis II


    Rigorous statistical and computational treatment of methods for localizing genes and environmental effects involved in the etiology of complex human traits using case-control and family data. Topics include theory of association and linkage disequilibrium mapping, candidate gene and genome-wide association mapping, detecting and accounting for population structure and admixture, analysis of dense SNPs maps, haplotype blocks, and graphical models. Course Prerequisites: STAT 9150 and STAT 9170

    Grade Mode: Normal, Audit

    Prerequisites: Prerequisites: STAT9150 and STAT9170

    Credit Hours: 3
    Contact Hours: 3 Lecture Hours: 3

    College Restrictions: The Graduate School Level Restrictions: Graduate Semester


    Click here for the Schedule of Classes.
  

  • STAT 9270 - Computational Genomics and Proteomics


    Computational inference and visualization approaches for high-thoughput data from genomics and proteomics. Topics include an introduction to high-thoughput experimental data, experiment planning, data normalization, data representation, clustering, classification, approaches for detecting differential expression, hierarchical Bayesian models, Gayesian variable selection, other computational approaches to variable selection, statistical network models, and statistical metrics for model validation.

    Grade Mode: Normal, Audit

    Prerequisites: Prerequisites: STAT8640 and STAT9170

    Credit Hours: 3
    Contact Hours: 3 Lecture Hours: 3

    College Restrictions: The Graduate School Level Restrictions: Graduate Semester


    Click here for the Schedule of Classes.
  

  • STAT 9280 - Advanced Special Topics


    This course is designed to cover advanced topics in the theory and methods of biostatistics, clinical trials, epidemiology, statistical and quantitative genetics, and other areas that are not covered in existing courses. The topics will depend on the research interests of the instructor and the students.

    Grade Mode: Normal, Audit

    Credit Hours: 1 to 3
    Contact Hours: 1 to 3 Lecture Hours: 1 to 3

    College Restrictions: The Graduate School Level Restrictions: Graduate Semester


    Click here for the Schedule of Classes.
  

  • STAT 9300 - Dissertation Research


    Prerequisites: Admission to PH.D. candidacy and permission of Major Advisor. The student works closely with his/her faculty mentor on an in-depth study of a research question of interest to both student and advisor. The course may be repeated as necessary until the student completes the research.

    Grade Mode: Satisfactory/Unsatisfactory, Audit

    Credit Hours: 1 to 12
    College Restrictions: The Graduate School Level Restrictions: Graduate Semester


    Click here for the Schedule of Classes.

Studies Abroad
  

  • SABR 6930 - Study Abroad


    Graduate level study abroad course. Prerequisite: Varies with discipline and subject

    Grade Mode: Normal, Audit

    Credit Hours: 1 to 3
    Contact Hours: 1 to 3 Lecture Hours: 1 to 3


    Click here for the Schedule of Classes.

Study Abroad System
  

Surgery - General
  

  • RSUR 5000 - Surgery


    Grade Mode: Satisfactory/Unsatisfactory

    Credit Hours: 27
    Contact Hours: 50 Lecture Hours: 10 Other Hours: 40

    College Restrictions: Residents


    Click here for the Schedule of Classes.
  

  • RSUR 5001 - Neurosurgery


    Grade Mode: Satisfactory/Unsatisfactory

    Credit Hours: 27
    Contact Hours: 50 Lecture Hours: 10 Other Hours: 40

    College Restrictions: Residents


    Click here for the Schedule of Classes.
  

  • RSUR 5002 - Otolaryngology


    Grade Mode: Satisfactory/Unsatisfactory

    Credit Hours: 27
    Contact Hours: 50 Lecture Hours: 10 Other Hours: 40

    College Restrictions: Residents


    Click here for the Schedule of Classes.
  

  • RSUR 5003 - Orthopedics


    Grade Mode: Satisfactory/Unsatisfactory

    Credit Hours: 27
    Contact Hours: 50 Lecture Hours: 10 Other Hours: 40

    College Restrictions: Residents


    Click here for the Schedule of Classes.
  

  • RSUR 5004 - Plastic/Reconstructive Surgery


    Grade Mode: Satisfactory/Unsatisfactory

    Credit Hours: 27
    Contact Hours: 50 Lecture Hours: 10 Other Hours: 40

    College Restrictions: Residents


    Click here for the Schedule of Classes.
  

  • RSUR 5005 - Thoracic/Cardiac Surgery


    Grade Mode: Satisfactory/Unsatisfactory

    Credit Hours: 27
    Contact Hours: 50 Lecture Hours: 10 Other Hours: 40

    College Restrictions: Residents


    Click here for the Schedule of Classes.
  

  • RSUR 5006 - Oral Surgery Internship


    PPROF_ORMS

    Grade Mode: Satisfactory/Unsatisfactory, Audit

    Credit Hours: 27
    Contact Hours: 60 Lecture Hours: 10 Other Hours: 50

    College Restrictions: Residents


    Click here for the Schedule of Classes.
  

  • RSUR 5007 - Neurosurgery Spine Fellow non ACGME


    PPROF_NEUR

    Grade Mode: Satisfactory/Unsatisfactory, Audit

    Credit Hours: 27
    Contact Hours: 50 Lecture Hours: 10 Other Hours: 40

    College Restrictions: Residents Program Restrictions: PPROF_NEUR-Neurology Residency Campus Restrictions: Main campus


    Click here for the Schedule of Classes.
  

  • SURG 5000 - Basic Clerkship in Surgery Core


    Prerequisite: Successful completion of Phase II This four (4) week clerkship provides fundamental experience in general surgery. Although most of the students’ time will be spent helping to care for inpatients, they will also participate in outpatient clinics. Emphasis will be placed on diagnostic evaluation, as well as preoperative and postoperative care. Evaluation of common outpatient conditions often seen by surgeons will also be emphasized.

    Grade Mode: Normal, Audit, Continuing Progress Courses

    Credit Hours: 10 to 20
    Contact Hours: 31 Lecture Hours: 1 Other Hours: 30

    Co-Requisites: SURG5100

    College Restrictions: Medicine


    Click here for the Schedule of Classes.
  

  • SURG 5001 - General Surgery Clerkship


    Prerequisites: SUR 5000A Responsibilities of initial evaluations, pre and postoperative planning and care are under the supervision of the surgical resident house staff and the Director of Surgical education. Experience will include the care of peripheral vascular, thoracic, colorectal and general surgical patients as well as a broad exposure to all other surgical specialties.

    Grade Mode: Normal, Audit

    Credit Hours: 10
    Contact Hours: 55 Lecture Hours: 15 Other Hours: 40

    College Restrictions: Medicine


    Click here for the Schedule of Classes.
  

  • SURG 5002 - General Surgery Research


    Individual students may elect to study in-depth, for a period of one to two months, any specific area in surgery under the guidance of the faculty member most familiar with that specific area. A thesis or report on the subject chosen is a necessary part of this elective. No student is eligible for more than one such elective.

    Grade Mode: Normal, Audit

    Credit Hours: 7
    Contact Hours: 55 Lecture Hours: 15 Other Hours: 40

    College Restrictions: Medicine


    Click here for the Schedule of Classes.
  

  • SURG 5003 - Preceptorship


    Prerequisite: SUR 5000 Clinical experience with individual private preceptor, in his office, operating room and hospital. (Individual arrangements must be made through both the Chairman of Surgery and the Clinical Surgeon involved.)

    Grade Mode: Normal, Audit

    Credit Hours: 7
    Contact Hours: 55 Lecture Hours: 15 Other Hours: 40

    College Restrictions: Medicine


    Click here for the Schedule of Classes.
  

  • SURG 5004 - Off Campus Experience


    Prerequisite: SUR 5000 Students may elect off campus experience in some phase of surgery in some other Medical School or institution for a period of one to two months. For help in making arrangements, interested students should contact the Medical College of Georgia counterpart of the individual at the other institution with whom he wishes to work. Such electives must be an identifiable course of instruction. An evaluation of student’s performance will be required. No student is eligible for more than one such elective.

    Grade Mode: Normal, Audit

    Credit Hours: 7
    College Restrictions: Medicine


    Click here for the Schedule of Classes.
  

  • SURG 5005 - Senior Student Trauma Rotation


    Prerequisite: SUR 5000 The student will be assigned to the Director of the Trauma Service and be responsible to him. The experience will include trauma call, trauma surgery, patient care in the trauma intensive care unit, and patient care in the outpatient clinics. Lectures on trauma care and trauma system development will be included. An introduction to the principles and practices of pre-hospital care, to include experience on both helicopter and ground EMS services, is included. (Carl R. Boyd, M.D.) Objectives: To give the student an understanding of the principles and practice of care of the multiple injured patient. Also, the student should gain an understanding of the importance of the trauma care system development in pre-hospital care of the trauma patient. Evaluation: Evaluation will be by direct observation by the preceptor and also by standardized written tests at the end of the rotation.

    Grade Mode: Normal, Audit

    Credit Hours: 10
    College Restrictions: Medicine


    Click here for the Schedule of Classes.
  

  • SURG 5006 - Advanced Clerkship at Memorial Medical Center, Savannah, GA


    Prerequisite: SUR 5000 During this elective experience the student will be assigned to one of the general surgical services and function as an intern under the watchful eye of the chief resident and chief of service. He or she can expect to be responsible for assigned patients, do a complete work up, scrub on the surgery, be asked to write orders, and follow the patient throughout their hospital course. This elective will be useful in allowing the students to determine whether they wish to pursue a career in surgery or not.

    Grade Mode: Normal, Audit

    Credit Hours: 10
    Contact Hours: 60 Lecture Hours: 40 Other Hours: 20

    College Restrictions: Medicine


    Click here for the Schedule of Classes.
  

  • SURG 5007 - Substitute Intern


    Prerequisite: SUR 5000 Students on this elective will function as substitute interns on the General Surgical Services at the Medical College of Georgia Hospitals. The student will be assigned to a specific surgical service and will function as an integral part of that service. The student is expected to initiate the clinical data base, begin diagnostic measures, and where possible, to perform surgical procedures with supervision. In addition, he will participate in the teaching responsibilities, conferences, clinics, and operating experiences of the service to which he/she is assigned and will be assigned night call responsibilities.

    Grade Mode: Normal, Audit

    Credit Hours: 10
    College Restrictions: Medicine


    Click here for the Schedule of Classes.
  

  • SURG 5008 - Clinical Management of the Critically Ill/Injured Patient


    Prerequisite: SUR 5000 The student will be involved in the care of patients on the Burn/Trauma Service. These patient frequently have injuries and functional disruption of multiple organ systems and therefore offer opportunities not only in learning management of burns and trauma, but also critical care. Cardiovascular, pulmonary and renal physiology are stressed and the frequent use of mechanical ventilatory support and invasive cardiovascular monitoring provide extensive experience in care of the critically ill. The interrelationship of anatomy, pathophysiology, biochemistry, pharmacology and microbiology is studied in relationship to the management of burns, trauma and critical care. Selected readings, didactic presentations, video taped lectures, perceptually instruction and clinical interface are all used as teaching methodology. These students participate as an active member of the patient care team.

    Grade Mode: Normal, Audit

    Credit Hours: 10
    Contact Hours: 40 Other Hours: 40

    College Restrictions: Medicine


    Click here for the Schedule of Classes.
 

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