SED 561 - Research-Based Methods of Reading Instruction
Course Description: Designed to provide students with research-based methods for teaching reading. Emphasis on the application of instructional techniques and progress monitoring strategies to meet the needs of individuals with exceptionalities. Field experiences required.
Credit Hours: 3
Corequisite Courses: None Prerequisite Courses: None Additional Restrictions/ Requirements: None Course Repeatability Course may not be repeated
SED 562 - Autism Spectrum Disorder: Characteristics and Instruction
Course Description: Examination and understanding of behaviors associated with Autism Spectrum Disorders (ASD) including current research on etiology and diagnosis. Emphasis will be placed on learning styles, educational needs, and intervention strategies for persons with ASD. Field experiences required.
Credit Hours: 3
Corequisite Courses: None Prerequisite Courses: None Additional Restrictions/ Requirements: None Course Repeatability Course may not be repeated
SED 563 - Autism Spectrum Disorder: Social and Communication Skills
Course Description: Identification of the social and communication needs and intervention strategies common in persons with Autism Spectrum Disorders and Asperger’s Syndrome. Emphasis on the application of research-based treatments for social and communicative functioning. Field experiences required.
Credit Hours: 3
Corequisite Courses: None Prerequisite Courses: None Additional Restrictions/ Requirements: None Course Repeatability Course may not be repeated
SED 603 - Special Education for Educational Leaders
Course Description: Study of special education legal mandates and their implications, administrative issues related to special education, students with exceptionalities, and current issues and trends. Includes examination of parental involvement, assessment, program development, services and personnel, discipline, diversity, collaboration, and student characteristics and related implications. Field experiences required.
Credit Hours: 3
Corequisite Courses: None Prerequisite Courses: None Additional Restrictions/ Requirements: None Course Repeatability Course may not be repeated
Course Description: Statistical consultation on graduate thesis research provided through access to the Department of Mathematics and Statistics’ Statistical Consulting Center.
Credit Hours: 1 To 3
Corequisite Courses: None Prerequisite Courses: None Additional Restrictions/ Requirements: Permission of instructor. Course Repeatability Course may not be repeated
Course Description: A survey of statistical methods for scientists. Topics include: data description, probability, estimation and hypothesis testing, ANOVA, simple linear and multiple linear regression and contingency tables. This course does not count towards the Master’s degree in mathematics. No credit granted after successful completion of STT 411, 412, 511, or 512.
Credit Hours: 3
Corequisite Courses: None Prerequisite Courses: None Additional Restrictions/ Requirements: Any elementary statistics course, open only to graduate students. Course Repeatability Course may not be repeated
Course Description: Advanced programming techniques as applied to statistics, data science and analytics. Regularly covered topics include: data acquisition, cleaning, transformation and management; visualization techniques; advanced statistical techniques, including randomization and re-sampling based inference; exploratory data analysis; and other topics as determined by student and employer/industry level.
Credit Hours: 3
Corequisite Courses: None Prerequisite Courses: STT 305 with minimum grade of D- Additional Restrictions/ Requirements: Prerequisite courses or equivalent. Course Repeatability Course may not be repeated
STT 508 - Theory and Application of CDISC Standards
Course Description: Introduction to data collection in clinical trials including common EDC/eCRF products, data structures and annotation. Conceptual review of SDTM and ADam, including specialized and study-specific domains. Implementation of mapping strategies from raw data to SDTM and further to ADam, along with construction of common and basic tables, listings and figures, emphasizing how various data visualizations and statistical analyses relate to particular domains. Coursework based entirely on clinical trials.
Credit Hours: 3
Corequisite Courses: None Prerequisite Courses: STT 305 with minimum grade of D- Additional Restrictions/ Requirements: Prerequisite courses or equivalent, and permission of instructor. Course Repeatability Course may not be repeated
STT 511 - Design of Experiments and Analysis of Variance
Course Description: Review of elementary statistics; design of experiments including completely randomized, randomized block, factorial, split–plot, and repeated measures designs; analysis of variance; non–parametric alternative methods of analysis. Statistical software packages will be used as appropriate in problem solving.
Credit Hours: 3
Corequisite Courses: None Prerequisite Courses: None Additional Restrictions/ Requirements: Any elementary statistics course. Course Repeatability Course may not be repeated
Course Description: Review of elementary statistics; linear and multiple regression; correlation. Statistical software packages will be used as appropriate in problem solving.
Credit Hours: 3
Corequisite Courses: None Prerequisite Courses: STT 215 (min grade D-) and MAT 335 (min grade D-) Additional Restrictions/ Requirements: None Course Repeatability Course may not be repeated
Course Description: Statistical mathods used in epidemiologic studies and clinical trials. Topics include measures of association, logistic regression, covariates, life tables and Cox regression: statistical analysis using SAS.
Credit Hours: 3
Corequisite Courses: None Prerequisite Courses: STT 315 (min grade D-) Additional Restrictions/ Requirements: Prerequisite courses or permission of instructor. Course Repeatability Course may not be repeated
Course Description: Introduction to the analysis of qualitative data. Basic methods of summary and inference for two and three way contingency tables; introduction to the generalized linear model for binary and Poisson data; focus on multinomial responses (nominal and ordinal) and matched pairs data; statistical analysis using SAS.
Credit Hours: 3
Corequisite Courses: None Prerequisite Courses: None Additional Restrictions/ Requirements: Statistical programming and consent of instructor. Course Repeatability Course may not be repeated
STT 530 - Introduction to Non-parametric Statistics
Course Description: Theory and methods of non–parametric statistics in the one– and two–sample problems and their comparisons with standard parametric procedures. Non–parametric tests for comparing more than two samples; tests of randomness and independence.
Credit Hours: 3
Corequisite Courses: None Prerequisite Courses: None Additional Restrictions/ Requirements: A calculus-based statistics course. Course Repeatability Course may not be repeated
Course Description: Matrix manipulations; multivariate normal distribution; inference for mean vector and covariance matrix; multivariate analysis of variance; principal components; canonical correlations; discriminant analysis; factor analysis; cluster analysis; statistical analysis using SAS.
Credit Hours: 3
Corequisite Courses: None Prerequisite Courses: STT 511 with minimum grade of C and STT 512 with minimum grade of C Additional Restrictions/ Requirements: None Course Repeatability Course may not be repeated
Course Description: Theoretical introduction to the general linear model and its application to simple linear regression and multiple regression. Estimation and hypothesis testing of model coefficients; residual analysis; analysis of covariance.
Credit Hours: 3
Corequisite Courses: None Prerequisite Courses: None Additional Restrictions/ Requirements: A calculus-based statistics course. Course Repeatability Course may not be repeated
Course Description: An introduction to the fundamental principles and applications of the most commonly used data mining techniques such as regression, classification, and clustering methods. The data mining techniques may include linear regression, classification, re-sampling methods, linear model selection and regulation, tree-based methods, Support Vector Machines (SVM), and clustering methods. Students will learn how to explore and analyze large high-dimensional real-world applications to build effective systems for prediction by using standard programming tools.
Credit Hours: 3
Corequisite Courses: None Prerequisite Courses: None Additional Restrictions/ Requirements: Prerequisites: Undergraduate regression, or experiments design course(s), or consent of instructor. Course Repeatability Course may not be repeated Maximum Repeatable Hours: 3
Course Description: The formulation, analysis and interpretation of probabilistic models. Selected topics in probability theory. Conditioning, Markov chains, and Poisson processes. Additional topics chosen from renewal theory, queueing theory, Gaussian processes, Brownian motion, and elementary stochastic differential equations.
Credit Hours: 3
Corequisite Courses: None Prerequisite Courses: None Additional Restrictions/ Requirements: A calculus-based statistics course. Course Repeatability Course may not be repeated
ADDITIONAL COURSE INFORMATION
Equivalent Courses: MAT 565 Undergraduate Crosslisting: MAT 465, STT 465 Additional Course Fees: None Course Attribute: None
Course Description: A rigorous introduction to mathematical statistics. Univariate and multivariate probability distributions; conditional and marginal distributions; theory of estimation and hypothesis testing; limiting distributions and the central limit theorem; sufficient statistics and the exponential class of probability density functions.
Credit Hours: 3
Corequisite Courses: None Prerequisite Courses: MAT 261 (min grade D-) and STT 315 (min grade D-) Additional Restrictions/ Requirements: None Course Repeatability Course may not be repeated
Course Description: A rigorous introduction to mathematical statistics. Univariate and multivariate probability distributions; conditional and marginal distributions; theory of estimation and hypothesis testing; limiting distributions and the central limit theorem; sufficient statistics and the exponential class of probability density functions.
Credit Hours: 3
Corequisite Courses: None Prerequisite Courses: STT 516 Additional Restrictions/ Requirements: None Course Repeatability Course may not be repeated
STT 569 - Stochastic Processes in Operations Research
Course Description: Probabilistic models with applications in operations research. Queueing theory, birth–death processes, embedded Markov chains, finite and infinite waiting–room systems, single and multi–server queues, general service distributions; Markov decision processes; reliability.
Credit Hours: 3
Corequisite Courses: None Prerequisite Courses: STT 565 with minimum grade of C Additional Restrictions/ Requirements: None Course Repeatability Course may not be repeated
Course Description: Review of case studies involving consulting with clients on statistical design of experiments and analysis of experimental and observational data; consulting on statistical issues with clients on campus through the departmental consulting center; presentation of oral report on consulting experience. This course does not count towards the Master’s degree in mathematics.
Credit Hours: 3
Corequisite Courses: None Prerequisite Courses: None Additional Restrictions/ Requirements: Permission of instructor. Course Repeatability Course may not be repeated
Course Description: Design of an experiment and/or survey approved by the instructor. Collection and analysis of data to be detailed in an oral and written report. This course does not count towards the Master’s degree in mathematics.
Credit Hours: 2
Corequisite Courses: None Prerequisite Courses: None Additional Restrictions/ Requirements: Permission of instructor. Course Repeatability Course may not be repeated
Course Description: Academic training and professional experience through work in a private company or public agency including a written final report. Faculty supervision and evaluation of all study and on-site activity.
Credit Hours: 3
Corequisite Courses: None Prerequisite Courses: None Additional Restrictions/ Requirements: Permission of the graduate coordinator. Course Repeatability Course may not be repeated
Course Description: Intensive research study of a topic selected by student and approved by a thesis committee. A scholarly oral presentation and defense of thesis is required.
Credit Hours: 1 To 4
Corequisite Courses: None Prerequisite Courses: None Additional Restrictions/ Requirements: None Course Repeatability Course may be repeated Maximum Repeatable Hours: 4
Course Description: This is a placeholder course for Study Abroad program graduate-level participants so that program statistics can be monitored and maintained, corresponding tuition and fees may be applied, and so participants remain enrolled at UNCW while on the program, thus safeguarding their catalogue year, keeping active computer accounts, etc.
Credit Hours: 0 To 12
Corequisite Courses: None Prerequisite Courses: None Additional Restrictions/ Requirements: None Course Repeatability Course may be repeated Maximum Repeatable Hours: 12
Course Description: The objective of this graduate course is to examine the primary quantitative and qualitative tools and methods used to monitor and control quality in organizations and evaluate the ways in which quality can be improved. Included in the course are such topics as the historical development of quality management, the seven basic tools for quality improvement, and management strategies for implementing world class quality improvement strategies. Particular emphasis is placed on the statistical tools used in control chart analysis and process capability study.
Credit Hours: 3
Prerequisite Courses: MBA 516 ADDITIONAL COURSE INFORMATION
Course Description: The course provides a special emphasis on the development and management of strategic sourcing relationships and promotes an understanding of the strategic role of supply management in effective supply/demand/value chain operations. Purchasing and supply management play an essential role in the ability of the firm to operate efficiently and be competitive in the contemporary global business environment. Included in these processes are activities involved in identifying potential suppliers, creating relationships with selected suppliers, obtaining the needed materials in the most efficient quantities at the highest quality levels, and developing strategies designed to ensure an uninterrupted flow of goods and materials. The objective of this course is to make students aware of the demands placed upon purchasing professionals, and to understand the impact of purchasing on the competitive success and profitability of the firm. They must also have an understanding of legal and ethical considerations which affect purchasing decision-making.
Credit Hours: 3
Prerequisite Courses: MBA 516 ADDITIONAL COURSE INFORMATION
Equivalent Courses: MBA 516 Full-Time Enrollment Equivalent: No
Course Description: This course introduces participants to the field of teaching English as a foreign language (EFL). The course is designed for people who wish to teach English abroad or to tutor language learners in the US. Participants will build a foundation in English pronunciation, lexicon and grammar. They will learn how to design lessons for children and adults that use a communicative, interactive approach. They will investigate, critique and use a variety of EFL materials and explore opportunities for teaching EFL as well as the international role of English and sociopolitical factors that affect English language learning in other countries.
Credit Hours: 3
Additional Restrictions/ Requirements: Grade Restriction - minimum letter grade of C for this course. Course Repeatability Course may not be repeated
ADDITIONAL COURSE INFORMATION
Undergraduate Crosslisting: TSL 401 Full-Time Enrollment Equivalent: No
Course Description: In this course, students will investigate processes related to the identification of English language learners with special needs, including learning and social disabilities. Using case studies, they will design classroom strategies to help dually identified students improve academic outcomes.
Credit Hours: 3
Additional Restrictions/ Requirements: Grade restriction - minimum letter grade of C for this course. Course Repeatability Course may not be repeated
ADDITIONAL COURSE INFORMATION
Undergraduate Crosslisting: TSL 405 Full-Time Enrollment Equivalent: No
Course Description: This course will introduce K-12 educators to the field of English as a second language, including issues of cross-cultural communication, ESL methodology, assessment and curriculum adaptation. In this course, students will be required to analyze research related to English language learners and critically reflect on data presented. A 10-hour field experience is required.
Credit Hours: 3
Corequisite Courses: None Prerequisite Courses: None Additional Restrictions/ Requirements: None Course Repeatability Course may not be repeated
TSL 511 - ESL Issues: Culture, Policy and Advocacy
Course Description: Students will be introduced to the field of English as a second language. Students will research the cultural, social, legal, and political contexts of working with English language learners from both historical and critical perspectives. Students will use a social justice framework to investigate and compare how ELLs interact in academic environments. Requirements include a 10-hour participatory observation experience where students will investigate how ELLs and their families relate to the schools and communities in which they live.
Credit Hours: 3
Corequisite Courses: None Prerequisite Courses: None Additional Restrictions/ Requirements: None Course Repeatability Course may not be repeated
TSL 516 - Second Language Acquisition Research and Theory
Course Description: Students investigate and research important aspects of first and second language acquisition. Topics include how first language acquisition can impact second language acquisition, current research in both fields, the progression of theoretical developments in the field of Second Language Acquisition and how these developments compare to those in the field of educational psychology.
Credit Hours: 3
Corequisite Courses: None Prerequisite Courses: None Additional Restrictions/ Requirements: None Course Repeatability Course may not be repeated
Course Description: Students will critically examine the instructional cycle used with English as a second language students. Topics include the design and implementation of instruction. The course includes a 30 hour field experience component.
Credit Hours: 3
Corequisite Courses: None Prerequisite Courses: TSL 511 and TSL 516 Additional Restrictions/ Requirements: None Course Repeatability Course may not be repeated
Course Description: In this course, students will explore issues related to the assessment of non-native speakers of English. Topics addressed include program evaluation, classroom assessment, issues related to standardized assessment, and language proficiency assessment.
Credit Hours: 3
Corequisite Courses: None Prerequisite Courses: TSL 511, TSL 516, TSL 517 Additional Restrictions/ Requirements: None Course Repeatability Course may not be repeated
Course Description: Students will investigate concepts and theories connected to the structure and components of the English language. Students will learn how to analyze the grammar of the English language in order to design, implement and assess instruction.
Credit Hours: 3
Corequisite Courses: None Prerequisite Courses: None Additional Restrictions/ Requirements: None Course Repeatability Course may not be repeated
Course Description: A study of current American English and of the principles of analysis of spoken and written language; emphasis on understanding that nature and structure of the language that students bring into the classroom. Includes exploration of language-related educational issues such as bilingualism, dialects, and disorders.
Credit Hours: 3
Corequisite Courses: None Prerequisite Courses: None Additional Restrictions/ Requirements: None Course Repeatability Course may not be repeated
Course Description: This course is an interdiscpilinary survey of feminist scholarship with an emphasis on the interconnectedness of gender, sexuality, class, race, and ethnicity. Special emphasis is given to the history of the women’s movement in the United States and the need for continued collective action locally and globally to effect social and cultural change toward gender equality. In addition, the course will consider constructions of masculinity, critiques of Western feminism, and offer an introduction to Third World and transnational femisist thought and action.
Credit Hours: 3
Corequisite Courses: None Prerequisite Courses: None Additional Restrictions/ Requirements: None Course Repeatability Course may not be repeated
Course Description: This graduate course on Doing Feminist and Queer Research examines theories, debates and practices regarding feminist and queer epistemologies (how we know) and methodologies (how we produce what we know). Questions we will explore include: What is feminist research? What makes the research feminist and queer? Why is feminist research important? How do we do feminist research? Who are the subjects of feminist and queer research? What are the stakes and contexts which shape the production of feminist and queer research? What are the genealogies, current practices and future directions of feminist and queer research? What are my own research feminist and queer interests, what do I want them to be, and what are the challenges and rewards of doing feminist research? Central themes and issues that will guide our inquiry include: the politics of knowledge construction; power and authority in asserting knowledge claims; practices of writing, representation and interpretation; voice, subjectivity, reflexivity and authenticity; ethics, accountability and reciprocity in relations with research subjects and audiences; disciplinary and inter/disciplinary boundaries; and goals, contexts, applications and limitations of feminist research.
Course Description: Supervised participation in field experience. Includes written final research report.
Credit Hours: 3
Corequisite Courses: None Prerequisite Courses: None Additional Restrictions/ Requirements: Permission from instructor and successful defense of internship proposal. Course Repeatability Course may not be repeated