Apr 17, 2024  
2020-2021 Graduate Catalog 
    
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2020-2021 Graduate Catalog [ARCHIVED CATALOG]

Courses

 

Social Work
  

  • SW 8900:Social Work International Study

    3 Class Hours 0 Laboratory Hours 3 Credit Hours
    Prerequisite: Admission to Graduate Study at KSU.
    This graduate level international study abroad experience is organized around international study and internship opportunities offered by international partners such as the ICSSPE, the Erastus Mundus Graduate Program, and Special Olympics, Southeast Asia. These service learning initiatives will provide educational, practice and service opportunities for masters level students in social work and closely related fields.

Software Engineering
  

  • SWE 5003:Software Engineering and Computational Thinking

    3 Class Hours 0 Laboratory Hours 3 Credit Hours
    Software engineering allows the application of engineering and computer science concepts for developing and maintaining reliable, usable, and dependable software. The process of developing software comprises of several activities for which both technical and soft skills are required. These skills include the ability of making use of different levels of abstraction, decomposing data, processes, or problems into smaller, manageable parts, understanding and solving problems more effectively, and applying mathematical concepts to develop more efficient, fair, and secure solutions. All these abilities are part of what is called computational thinking, a set of general problem-solving skills useful in several fields. The purpose of this course is to introduce all the relevant software engineering and computational thinking concepts and principles together with the main activities of the software development life cycle.
  

  • SWE 5063:Foundations of Database and Web Development Technologies

    3 Class Hours 0 Laboratory Hours 3 Credit Hours
    Prerequisite: CS 5000  
    This course gives an introduction to the essential instruments that students need to know to assemble working web applications. It first introduces the main concepts of databases and related application technologies that have come to be critical in the enablement of web-based applications. This course will also examine how to connect the web to the backend database server using the popular scripting languages such as PHP and Python. In particular, students will learn the structure and concepts of the web-driven development, make dynamic web applications utilizing a blend of HTML, CSS, and JavaScript, through well-known web frameworks (e.g. NodeJS, Django) and database utilities.
  

  • SWE 6613:Requirements Engineering

    3 Class Hours 0 Laboratory Hours 3 Credit Hours
    Courses that may be taken concurrently:
    SWE 5003  
    Requirements engineering (RE) plays a critical role in the software development process. This course is a thorough treatment of the engineering and definition of software requirements processes. Methods, tools, notations, and techniques for eliciting, analyzing, modeling, negotiating, validating, specifying, testing, and maintaining requirements will be examined with a focus on software-intensive systems. The course will include a major group project on the analysis and specification of software requirements.
  

  • SWE 6623:Software Engineering

    3 Class Hours 0 Laboratory Hours 3 Credit Hours
    Prerequisite: SWE 5003  and CS 5040 
    This course provides an overview of software engineering and explores both the theoretical principles and their application in the engineering of software-intensive systems. Topics cover the entire software development life-cycle and include software engineering process models, project management and planning, requirements engineering, software architecture and design, prototyping, verification and validation, usability and human factors, quality assurance, and professionalism and ethics. The course includes a real-world team project in which students are given hands-on experience utilizing state-of-the-art tools to analyze and design a software system.
  

  • SWE 6633:Software Project Planning & Management

    3 Class Hours 0 Laboratory Hours 3 Credit Hours
    Courses that may be taken concurrently:
    SWE 5003  
    The main phases of project management life cycle (initiation, planning, execution, monitoring/control, and closeout) are covered. The emphasis is on project planning phase and on project monitoring/control phase. Various software size, cost/effort, and schedule estimation and planning techniques, including COCOMO, Function Point, and critical path analysis are introduced as part of work breakdown structure. Project risk management is included as an integral part of project planning and project monitoring/control. Project status monitoring/control activities are discussed and practiced with a prototype team project, using the Earned Value metric.
  

  • SWE 6653:Software Architecture

    3 Class Hours 0 Laboratory Hours 3 Credit Hours
    Prerequisite: CS 5040  and SWE 5003  and SWE 5063  
    This course examines the principles and methods of architectural design of complex, large scale software systems. Macro-level system architecture with an emphasis on approaches to interconnection and distribution of both current and emerging architectural systems (e.g. model-view-controller, service oriented, agent-oriented) as well as micro-level architecture including patterns, frameworks, and component-based software engineering are covered in detail.
  

  • SWE 6673:Software Testing and Verification

    3 Class Hours 0 Laboratory Hours 3 Credit Hours
    Prerequisite: SWE 6623  and SWE 6613  
    This course covers concepts, principles, and techniques related to software testing and formal program verification. The course defines the concept of quality in software developments and product and explains how to develop a quality/test plan.The notion of validation and verification is explained in the context of different testing techniques, which include black box testing and white box testing, and other techniques such as inspection and formal verification. The emphasis of the course is on testing techniques, ranging from unit testing to regression testing.
  

  • SWE 6733:Emerging Software Engineering Processes

    3 Class Hours 0 Laboratory Hours 3 Credit Hours
    Prerequisite: SWE 6623 
    This course introduces the essentials of software engineering processes, methods, and tools for the engineering and evolution of contemporary real-world software. The emphasis is on the applicability of new Agile processes in the software life cycle from requirements engineering through operation and maintenance. Students gain understanding with several commonly used Agile processes such as Extreme Programming (XP), Scrum, Len, and Kanban Models, as well as their working mechanics. They will put into practice their knowledge by conducting an Agile-spirit software team project in the course.
  

  • SWE 6753:Game Design & Development

    3 Class Hours 0 Laboratory Hours 3 Credit Hours
    Courses that may be taken concurrently:
    SWE 6623   or permission by the program coordinator
    An introduction to computer game design, game design engines, 2D and 3D graphics, game-related algorithms, game control structures and games as simulations. Topics include graphics, multimedia, visualization, animation, artificial intelligence, and tools of game design. Developments using the software engineering life cycle are emphasized. The development and presentation of a game prototype is required.
  

  • SWE 6763:Software Evaluation and Measurement

    3 Class Hours 0 Laboratory Hours 3 Credit Hours
    Prerequisite: SWE 6623 
    This course covers the principles of software measurement frameworks and methods for assessing process, product, and resource’s attributes in various-scale type of software engineering environments. The software metrics based on different quality factors such effectiveness, efficiency, usability, and testability in both object-oriented and traditional settings are introduced. The theory and mechanics of conducting empirical software investigation (Experimentation in SE) for quantitative evaluation of software artifacts are covered.
  

  • SWE 6783:User Interaction Engineering

    3 Class Hours 0 Laboratory Hours 3 Credit Hours
    Courses that may be taken concurrently:
    SWE 6623  or permission by the program coordinator
    This course follows a complete software-engineering cycle to produce software objects (classes and/or components) that support users in effective, efficient, and enjoyable interactions with computers. Class exercises and a project incorporate concepts and methods including ethnographic and user analysis; cognitive ergonomics; usability metrics and criteria; software-engineering practices, conventions, standards, and documentation; device-user action mapping; person-system function allocation; quality management systems; conceptual proto-typing; embedded systems in support of ubiquitous computing; and function-behavior analysis.
  

  • SWE 6803:Independent Study

    1 to 3 credit hours - will vary depending on the topic Credit Hours
    Independent study/project under the direction of a member of the graduate faculty. Course description will vary.
  

  • SWE 6813:Web Service Engineering

    3 Class Hours 0 Laboratory Hours 3 Credit Hours
    Prerequisite: SWE 6623 
    This course covers the principles and concepts of Service-Oriented Architecture (SOA) and its related general- and domain-specific technologies. Current tools and languages for implementation of service-engineered software systems, including designing, building, assembling, and deploying using Web services and Microservices are discussed in depth. Students will do projects focused on building reusable software in the modern era of service computing.
  

  • SWE 6823:Embedded Systems

    3 Class Hours 0 Laboratory Hours 3 Credit Hours
    Prerequisite: SWE 6623 
    This course is both project- and research-oriented. Students will be introduced to modern methods, techniques, and tools for specification and design of embedded systems. Current software building technology, testing, reliability analysis, and benchmarking will be used in developing a case-study project. Moreover, challenges and trends in embedded systems techniques, methods, and tools will be presented and analyzed.
  

  • SWE 6853:Design Patterns

    3 Class Hours 0 Laboratory Hours 3 Credit Hours
    Prerequisite: SWE 6623  
    This course builds upon basic object-oriented concepts to discover principles of good object-oriented design through the application of design patterns. The focus is on the issues and means of designing software systems for reuse, extension, and maintainability including how to leverage the powers of object-orientation embodied in well-known heuristics, principles and patterns in the design and construction of reusable systems. This course will emphasize that designing reusable systems requires anticipating requirements changes and the application of design patterns will help ensure system mutability. The course includes a major project in which the students will gain hands-on experience with design patterns.
  

  • SWE 6863:Software Engineering Ethics and Legal Issues

    3 Class Hours 0 Laboratory Hours 3 Credit Hours
    Courses that may be taken concurrently:
    SWE 5003  
    This course covers ethical and legal issues related to software development. Professional ethics and responsibilities of software engineers are discussed in detail. Topics include computing and civil liberties, encryption, intellectual property and licensing, software patents and copyrights, professional codes of ethics and professional licensing, software reliability, liabilities, and hacking. Software engineering/computing case studies will be used.
  

  • SWE 6883:Formal Methods in Software Engineering

    3 Class Hours 0 Laboratory Hours 3 Credit Hours
    Prerequisite: SWE 6623  and SWE 6613 ; or permission by program coordinator.
    This course will present best practices for the application of formal methods and will explore their tools, techniques, and applications using real-world case study. It will also help students to understand how formal methods can support the production of high-quality software. Students will learn how to use formal methods techniques to rigorously specify, validate, and verify safety-critical systems, as for example self-driving vehicles and aircrafts. This course will use a hands-on interactive approach.
  

  • SWE 6901:Special Topics

    1 to 3 Credit Hours
    Prerequisite: As determined by the Instructor and Department Chair
    Special topics selected by the Department Chair. Offered on a demand basis.
  

  • SWE 6902:Special Topics

    1 to 3 Credit Hours
    Prerequisite: As determined by the Instructor and Department Chair
    Special topics selected by the Department Chair. Offered on a demand basis.
  

  • SWE 6903:Special Topics

    1 to 3 Credit Hours
    Prerequisite: As determined by the Instructor and Department Chair
    Special topics selected by the Department Chair. Offered on a demand basis.
  

  • SWE 7803:Master’s Thesis

    3 Class Hours 0 Laboratory Hours 3 Credit Hours
    Prerequisite: GPA 3.0 or above; completed all transition courses (if any were assigned at the admission evaluation process), nine credit hours in the MS SWE program and permission of program coordinator.
    The thesis is designed for students wanting a research focus to their degree. The student works independently under the supervision of a designated SWE graduate faculty member on a thesis of substance in software engineering. The student will generate a formal written thesis and give a final defense of the thesis. This course may be repeated, but only 6 hours may be applied toward the degree.
  

  • SWE 7903:Software Engineering Capstone

    3 Class Hours 0 Laboratory Hours 3 Credit Hours
    Prerequisite: SWE 6613  and SWE 6633  
    Courses that may be taken concurrently:
    SWE 6673  
    This course is designed for students to give a professional focus to their degree. The students work in designated teams under the supervision of the course instructor (a CSE faculty member), on a project of practical significance in software engineering. Each of the teams will deliver a final working product, generate a substantial final report, and give a final presentation on the project.

Spanish
  

  • SPAN 7702:Sociolinguistics

    3 Class Hours 0 Laboratory Hours 3 Credit Hours
    Prerequisite: Admission to the MAT program in Foreign Languages.
    This course explores how social, geographic, cultural, and economic factors contribute to language variation across the Spanish-speaking world. In addition to discussing variation theory, students gain experience in conducting empirical research.

    Note Course taught in Spanish.
  

  • SPAN 7704:Topics in Spanish Linguistics

    3 Class Hours 0 Laboratory Hours 3 Credit Hours
    Prerequisite: SPAN 7702  
    An exploration of language-related issues (theoretical and/or applied) that impact the teaching and learning of Spanish as a second/foreign language. Students gain an understanding of these issues through readings, discussion, and action research.

    Note Course taught in Spanish.
  

  • SPAN 7712:Hispanics in the U.S.

    3 Class Hours 0 Laboratory Hours 3 Credit Hours
    Prerequisite: Admission to the MAT in Foreign Languages.
    A multidisciplinary study of the migration history and cultural experience of the major Hispanic groups in the United States, including the portrayal of these groups in current events.

    Note Course taught in Spanish.
  

  • SPAN 7714:Topics in Hispanic Culture

    3 Class Hours 0 Laboratory Hours 3 Credit Hours
    Prerequisite: Admission to the MAT in Foreign Languages.
    This course is an in-depth analysis of Hispanic cultural representations in the media, literature, and other artistic productions. Topics are chosen for their significance and impact on Hispanic cultures.

    Note Course taught in Spanish.
  

  • SPAN 7722:Literary Masterpieces

    3 Class Hours 0 Laboratory Hours 3 Credit Hours
    Prerequisite: Admission to the MAT program in Foreign Languages
    This course explores the most representative masterpieces of twentieth century Peninsular and Spanish American Literature from all genres. Students examine how these works define (or defy) the aesthetic and cultural canon of the period.

    Note Course taught in Spanish.
  

  • SPAN 7724:Topics in Literature

    3 Class Hours 0 Laboratory Hours 3 Credit Hours
    Prerequisite: Admission to the MAT in Foreign Languages.
    An exploration of a period, movement or genre in literature and its relationship to culture. Topics are chosen for their significance and impact on Hispanic cultures.

    Note Course taught in Spanish.

Statistics
  

  • STAT 7010:Mathematical Statistics I

    3 Class Hours 0 Laboratory Hours 3 Credit Hours
    Prerequisite: STAT 8120  and STAT 8210  
    Fundamental concepts of probability, random variables and their distributions; review of sampling distributions; theory and methods of point estimation and hypothesis testing, interval estimation, nonparametric tests, introduction to linear models.
  

  • STAT 7020:Statistical Computing and Simulation

    3 Class Hours 0 Laboratory Hours 3 Credit Hours
    Prerequisite: Admission to the MSAS Program
    Topics will include stochastic modeling, random number generators based on probability distributions, discrete-event simulation approaches, simulated data analysis, nonparametric analysis and sampling techniques. Given the importance of the SAS software to these types of applications, students will, by definition, refine and improve their SAS programming skills. The class will utilize real-world datasets from a variety of disciplines including, finance, manufacturing and medicine.
  

  • STAT 7100:Statistical Methods

    3 Class Hours 0 Laboratory Hours 3 Credit Hours
    Prerequisite: Admission to the MSAS program.
    Stat 7100 is designed to give students the foundation in statistical methods necessary for further study in the Master of Science in Applied Statistics program. The course begins with a study of statistical distributions (binomial, Poisson, uniform, exponential, gamma, chi-square and normal), descriptive statistics, the Central Limit Theorem, t-tests (one-sample, two-sample and paired) and confidence intervals. The course then moves on to more advanced techniques including categorical data analysis (chi-square tests), correlation, simple linear regression analysis and one-way analysis of variance.
  

  • STAT 7900:Special Topics

    1 to 3 variable Class Hours 0 Laboratory Hours 1 to 3 variable Credit Hours
    Prerequisite: STAT 7020  and STAT 7100 , or approval of the Program Director.
    Exploration of selected topics of interest to students and faculty.
  

  • STAT 8020:Advanced Programming in SAS

    3 Class Hours 0 Laboratory Hours 3 Credit Hours
    Prerequisite: STAT 7100  and STAT 7020  
    This course will cover advanced programming techniques using the SAS system for data management and statistical analysis. The topics covered include macro programming, using SQL with SAS and optimizing SAS programs. Upon completion of this course students will be prepared to take and pass the certification test and obtain the Advanced Programmer for SAS 9 certification.
  

  • STAT 8030:Programming in R

    3 Class Hours 0 Laboratory Hours 3 Credit Hours
    Prerequisite: STAT 7020 
    This course is a graduate level course in statistical computing using the R/S-Plus programming environment for data management, basic statistical analysis, and simulation. The overall objective of this course is to prepare students to use the R package in both practical statistical/quantitative applications as well as Monte Carlo simulation research. Topics covered include object-oriented programming, porting data, general data management, basic statistical analysis, and writing customized user-defined functions and programs.
  

  • STAT 8110:Quality Control and Process Improvement

    3 Class Hours 0 Laboratory Hours 3 Credit Hours
    Prerequisite: STAT 7100  and STAT 7020  
    Classical quality control methods, including control charts and sampling plans, will be integrated with process improvement tools such as process flowcharts and simple graphical tools.
  

  • STAT 8120:Applied Experimental Design

    3 Class Hours 0 Laboratory Hours 3 Credit Hours
    Prerequisite: STAT 7100  and STAT 7020  
    Methods for constructing and analyzing designed experiments are considered. The concepts of experimental unit, randomization, blocking, replication, error reduction and treatment structure are introduced. The design and analysis of completely randomized, randomized complete block, incomplete block, Latin square, split-plot, repeated measures, factorial and fractional factorial designs will be covered.

    Note Statistical software will be utilized.
  

  • STAT 8125:Design and Analysis of Human Studies

    3 Class Hours 0 Laboratory Hours 3 Credit Hours
    Prerequisite: STAT 7020  and STAT 8210  
    This course will serve as an introduction to epidemiologic methods used to investigate disease outbreaks and the effectiveness of public health interventions. At the end of the course, students will be able to design, analyze, and report the results of an epidemiologic investigation and will be able to interpret literature related to analysis of studies of disease causality and treatment.
  

  • STAT 8140:Six Sigma Problem Solving

    3 Class Hours 0 Laboratory Hours 3 Credit Hours
    The focus of this course is applying Six Sigma methods such as DMAIC to industrial problems using the statistical methods studied in prior courses. Students will analyze industrial data and brainstorm appropriate approaches utilizing Six Sigma methods. Since Six Sigma methods will be utilized throughout the program, this course is a synthesis of prior learning. Students will take the American Society for Quality practice Green Belt exam to help prepare them for the actual Green Belt exam. The class will review exam questions and address areas where students are having difficulty.
  

  • STAT 8210:Applied Regression Analysis

    3 Class Hours 0 Laboratory Hours 3 Credit Hours
    Prerequisite: STAT 7100  and STAT 7020  
    Topics include simple linear regression, inferences, diagnostics and remedies, matrix representations, multiple regression models, generalized linear model, multicollinearity, polynomial models, qualitative predictor variables, model selection and validation, identifying outliers and influential observations, diagnostics for multicollinearity, and logistic regression.
  

  • STAT 8220:Time Series Forecasting

    3 Class Hours 0 Laboratory Hours 3 Credit Hours
    Prerequisite: STAT 7020  and STAT 8210  
    This course provides an introduction to univariate time-series analysis that emphasizes the practical aspects most needed by practitioners and applied researchers. Topics covered include linear regression applied to time series, simple autoregressive models (ARMA and ARIMA), and Box-Jenkins methodology.
  

  • STAT 8225:Applied Longitudinal Data Analysis

    3 Class Hours 0 Laboratory Hours 3 Credit Hours
    Prerequisite: STAT 8210  
    This course introduces students to methods of longitudinal data analysis and issues involved with the analysis of repeated measures data. The course will be based on multilevel models (also referred to as hierarchical models, mixed effects models, and random coefficient models) with a major emphasis on modeling intraindividual effects as a precursor to modeling interindividual effects. Students will learn how to choose an appropriate model so that specific research questions of interest can be addressed in a methodologically sound way.
  

  • STAT 8240:Data Mining

    3 Class Hours 0 Laboratory Hours 3 Credit Hours
    Prerequisite: STAT 8210 
    Data Mining is an information extraction activity whose goal is to discover hidden facts contained in databases and perform prediction and forecasting through interaction with the data. The process includes data selection, cleaning and coding, using statistical pattern recognition and machine learning techniques, and reporting and visualizing the generated structures. The course will cover all these issues and will illustrate the whole process by examples of practical applications.

    Note Students will use SAS Enterprise Miner software.
  

  • STAT 8250:Data Mining II

    3 Class Hours 0 Laboratory Hours 3 Credit Hours
    Prerequisite: STAT 8240  
    This course is a continuation of STAT 8240: Data Mining. Data Mining is an information extraction activity whose goal is to discover hidden facts contained in databases, perform prediction and forecasting, and generally improve their performance through interaction with data. The process includes data selection, cleaning, coding, using different statistical, pattern recognition and machine learning techniques, and reporting and visualization of the generated structures. The course will introduce additional modeling tools for pattern recognition and prediction, including Sequential Pattern Analysis, Neural Networks, Support Vector Machine, Nearest-neighbor classifiers, and many others. These tools will be taught through examples of practical applications. Students will be encouraged to try different Data Mining software.
  

  • STAT 8310:Applied Categorical Data Analysis

    3 Class Hours 0 Laboratory Hours 3 Credit Hours
    Prerequisite: STAT 8210  
    This course will cover methods of contingency table analysis, including data categorization, dose-response and trend analysis, and calculation of measures of effect and association. The students will learn to use generalized linear regression models including logistic, polychotomous logistic, Poisson and repeated measures (marginal and mixed models), and apply these appropriately to real-world data. Applications to Statistical software packages such as JMP, MINITAB, and/or SAS will be used.
  

  • STAT 8320:Applied Multivariate Data Analysis

    3 Class Hours 0 Laboratory Hours 3 Credit Hours
    Prerequisite: STAT 8120  and STAT 8210  
    Survey course in statistical analysis techniques. Through a combination of textbook and real-world data sets, students will gain hands-on experience in understanding when and how to utilize the primary multivariate methods Data Reduction techniques, including Principal components Analysis and Common Factor Analysis, ANOVA/MANOVA/MANCOVA, Cluster Analysis, Survival Analysis and Decision Trees.
  

  • STAT 8330:Applied Binary Classification

    3 Class Hours 0 Laboratory Hours 3 Credit Hours
    Prerequisite: STAT 8210  
    This course is a heavily used concept in Statistical Modeling. Common applications include credit worthiness and the associated development of a “FICO-esque” credit score, fraud detection or the identification of manufacturing units which fail inspection. Students will learn how to use Logistic Regression, Odds, ROC curves, maximization functions to apply binary classification concepts to real-world datasets. This course will heavily use SAS-software and students are expected to have a strong working knowledge of SAS.
  

  • STAT 8340:Social Network Analysis

    3 Class Hours 0 Laboratory Hours 3 Credit Hours
    Prerequisite: STAT 8240  and STAT 8020  
    This course is designed to introduce concepts, techniques, and proper analysis of social network data. Topics include measuring and characterizing networks, identifying and classifying different types of networks, creating models for networks, and predicting their behavior, with an emphasis on issues associated with “Big Data”. This course will also focus on specific applications of network analysis in the fields of management, marketing, strategy development and epidemiology.
  

  • STAT 8370:Applied Affinity Analysis

    3 Class Hours 0 Laboratory Hours 3 Credit Hours
    Prerequisite: STAT 8250  and STAT 8020  
    Affinity analysis seeks to identify the presence and strength of relationships whereby activities tend to occur together. The course begins with coverage of the fundamental methods and concepts revolving around association rules. The second half of the course focuses on market basket analysis, a specific application of affinity analysis that focuses on consumer purchasing. Students are required to obtain transaction-level retail data (most likely from the Internet), complete a market basket analysis, and communicate the results in a formal report.
  

  • STAT 8390:Missing Data and Imputation

    3 Class Hours 0 Laboratory Hours 3 Credit Hours
    Prerequisite: STAT 8210  and STAT 8020  
    This course is designed to introduce students to the technical concepts associated with missing data as well as conventional and advanced methods to handle missing data. The topics include missing at random, deletion techniques, imputation techniques, as well as maximum likelihood techniques and multiple imputation techniques. The course will also discuss complications that can arise with multiple imputations. The methods will be applied to real world datasets with guided exploration of the methods by the students.
  

  • STAT 8399:Design and Analysis of Massive Survey Data

    3 Class Hours 0 Laboratory Hours 3 Credit Hours
    Prerequisite: STAT 8240  and STAT 8020  
    This course is designed to introduce concepts, techniques, and current practice of sample survey design and analysis with emphasis on the unique issues associate with “Big Data”. Topics include simple random sampling, systematic sampling, stratified random sampling, cluster sampling, multistage sampling, replicated sampling, imputation and strategies to deal with missing data. Examples of complex designs will be drawn from telephone surveys, the Current Population Survey and various health surveys of National Center for Health Statistics. Topics in analysis include post-stratification adjustments, ratio and regression estimators, and methods for estimating variance from complex surveys.
  

  • STAT 8916:Cooperative Education

    1-3 Credit Hours
    Prerequisite: Permission of Program Director.
  

  • STAT 8918:Internship

    1-3 Credit Hours
    Prerequisite: Permission of Program Director.
  

  • STAT 8940:Applied Analysis Project

    1-3 Class Hours 0 Laboratory Hours 1-9 Credit Hours
    Prerequisite: Must be approved by graduate program director.
    Students will work with a Department faculty member on an analysis approach using real data. The data may be generated from a problem in their workplace or from any other source that illustrates the statistical method being studied. In the first part of the semester, the theory of the method will be studied to obtain a solid foundation in the methodology. Later, data will be analyzed using one or more statistical software packages. Students will prepare a written report that will become part of their Statistical Methods Portfolio.
  

  • STAT 8950:Directed Study

    3 Class Hours 0 Laboratory Hours 3 Credit Hours
    Prerequisite: Permission of Program Director.
    Special advanced topics external to regular course offerings.

Study Abroad
  

  • SA 8900:Study Abroad

    1-12 (varied by course) Credit Hours
    Prerequisite: Varies with discipline and subject.
    Upper division study abroad course denoting graduate level work. Each course is uniquely designed to maximize field experiences in a manner appropriate to the country visited and the discipline or cross disciplinary perspective applied. Specific course titles are assigned to each study abroad course and major course equivalencies may be substituted with departmental approval.

Systems Engineering
  

  • SYE 5000:Quantitative Foundations for Systems Engineering

    3 Class Hours 0 Laboratory Hours 3 Credit Hours
    This course provides the quantitative foundations necessary for core courses in the Systems Engineering and Certificate programs. Topics include calculus, vectors and matrices, linear systems, and probability theory. Engineering applications of the topics will be emphasized. Cannot be taken for credit for the MS SyE.
  

  • SYE 6005:Introduction to Systems Engineering

    3 Class Hours 0 Laboratory Hours 3 Credit Hours
    The goal is to introduce the student to the essential principles, processes, and practices associated with the application of Systems Engineering. The applicability and use of Process Standards will be examined. Emphasis will focus on defining the problem to be solved, establishing the initial system architecture, understanding the role of system life-cycles, requirements development, and verification and validation of the realized system.
  

  • SYE 6010:Project Management Processes

    3 Class Hours 0 Laboratory Hours 3 Credit Hours
    Integrated framework for project organization, planning and control focusing on project management processes for large, complex programs to ensure cost-effective and quality outcomes for investments.
  

  • SYE 6015:Systems Analysis and Design

    3 Class Hours 0 Laboratory Hours 3 Credit Hours
    Prerequisite: SYE 6005  
    Methods used to analyze and design complex systems that meet the needs of multiple stakeholders over the system life cycle. Apply systems engineering design and analysis principles to the virtual design of a contemporary complex system.
  

  • SYE 6020:System Architecture

    3 Class Hours 0 Laboratory Hours 3 Credit Hours
    Prerequisite: SYE 6005  and SYE 6010  
    Examination of concepts and techniques for architecting systems, the establishment of a bounded and integrated structure that provides a framework for system creation, work breakdown structures, cost analysis, and subcontractor control and interface will be reviewed. A structured approach to system architecture that proceeds from a topmost “system” to an aggregation and integration of systems created in lower level development layers, both internal and external to the developer as described in the standard ANSI/EIA-632 (Processes for Engineering a System) will be explored.
  

  • SYE 6025:Engineering Economic Analysis

    3 Class Hours 0 Laboratory Hours 3 Credit Hours
    This course covers the basic tools used in engineering economic decision making, including discounted cash flow, replacement and timing decisions, depreciation, risk analysis, and pricing mechanisms. Topics may also include an introduction to preferences and utilities, equilibrium concepts, probabilistic decisions, game theory, and incentive compatibility.
  

  • SYE 6035:Modeling and Simulation

    3 Class Hours 0 Laboratory Hours 3 Credit Hours
    Prerequisite: QA 6610  
    The use of models and simulations to validate or predict expected performance, behavior, and interaction of selected design elements in a controlled environment will be examined. This course will also present guidelines for selecting and using models and simulations on projects. Various modeling and simulation methods and tools will be examined and their value and applications probed for differing engineering development needs.
  

  • SYE 6045:Process Assessment and Improvement

    3 Class Hours 0 Laboratory Hours 3 Credit Hours
    This course provides an operational understanding of the differences between process standards and assessment standards where the latter provide a formal and structured means of examining a specific process or focus area to determine process capability or process maturity in an enterprise. Both EIA/IS-731-1, “Systems Engineering Capability Model,” and “Capability Maturity Model Integration (CMMISM)” will be examined and the strengths and weaknesses reviewed with respect to consideration of use on projects.
  

  • SYE 6050:Reliability and Sustainability

    3 Class Hours 0 Laboratory Hours 3 Credit Hours
    Prerequisite: QA 6610  
    Concepts for reliability and sustainability (maintainability) engineering and their integration into system development will be examined. In addition, techniques for ensuring the integration of these factors into core design decisions through specified requirements will be explored.
  

  • SYE 6055:System Engineering Project

    3 Class Hours 0 Laboratory Hours 3 Credit Hours
    Prerequisite: Consent of instructor
    In this capstone class, students will be presented with an engineering problem statement constituting acquirer needs and expectations. Multi-disciplinary teamwork will be required to achieve a solution to the presented problem statement.
  

  • SYE 6065:System Optimization

    3 Class Hours 0 Laboratory Hours 3 Credit Hours
    This course focuses on methods of operations research and their applications. Operations Research methods include linear programs, network models, queuing models, markov chains, and heuristics. Applications in inventory & production planning, transportation & logistics, and finance will be covered.
  

  • SYE 6070:Logistics and Supply Chain Management

    3 Class Hours 0 Laboratory Hours 3 Credit Hours
    This course focuses on decisions vital to success in typical business environments characterized by competition and scarce resources. Students will develop skills in applying a variety of techniques to solve logistics and supply chain management problems. Topics covered will include information sharing and aligning incentives along the supply chain; demand forecasting; inventory decisions; transportation mode and route selection; and pricing and revenue management.
  

  • SYE 6075:Manufacturing and Warehousing Systems

    3 Class Hours 0 Laboratory Hours 3 Credit Hours
    This course focuses on decisions important in production and warehousing environments. Production topics include analysis of flows, bottlenecks and queuing, types of manufacturing operations, aggregate production planning, lot sizes and lead times, and pull production systems. Warehouse topics include design and analysis of warehouse layout, order picking strategies, warehousing inventories, and integration of production and distribution systems.
  

  • SYE 7900:Special Topics in Systems Engineering

    3 Class Hours 0 Laboratory Hours 3 Credit Hours
    Topics not covered in the department’s regular systems engineering offerings. Course content may vary each semester depending on instructor and the perception of students’ needs.

    Course may be repeated for credit.

Teacher Leadership
  

  • TLED 7000:Foundations of Teacher Leadership

    3 Class Hours 0 Laboratory Hours 3 Credit Hours
    This course explores the knowledge, skills, and dispositions necessary to be successful in the TL program as well those needed to be an effective teacher leader in the contemporary educational setting. It also investigates the GaPSC teacher leadership standards, as well as the TL GACE requirements.
  

  • TLED 7101:Critical Analysis of Policy, Theory, & Praxis for Teacher Leaders

    3 Class Hours 0 Laboratory Hours 3 Credit Hours
    This course provides students an opportunity to synthesize and evaluate current and historical K-12 educational policy at the national, state, and local levels from a teacher leader perspective. Students will leverage educational policy to build collaborative school cultures, develop advocacy plans that maximize student learning, and meet the educational needs of the institution. The goal of the course is to help teacher leaders think critically about educational policy, theory, and praxis and its influences on their students as learners.
  

  • TLED 7465:Professional Learning in Schools

    3 Class Hours 0 Laboratory Hours 3 Credit Hours
    In this course, candidates will examine research on adult learning theories and effective professional learning. Candidates will evaluate the professional learning system and processes in their schools based on the National Staff Development Council (NSDC) standards adopted by the state of Georgia. Candidates will examine many forms of professional learning such as mentoring, coaching, feedback, study groups, peer observation and learning teams. Candidates will promote professional learning communities and demonstrate the ability to effectively design, deliver, and evaluate professional learning in their schools.

    Note Crosslisted with ITEC 7465
  

  • TLED 7785:Collaboration with Families and Community

    3 Class Hours 0 Laboratory Hours 3 Credit Hours
    Candidates who complete this course are teacher leaders who demonstrate and sustain trusting, productive and collaborative relationships between culturally and linguistically diverse families, children, schools/programs and community agencies/resources. Emphasis is placed on developing effective communication skills and identifying resources to enhance the child development and educational experiences of all children. This course provides a social advocacy orientation to current issues and trends that impact working with schools and communities.
  

  • TLED 7980:Action Research in Schools

    3 Class Hours 0 Laboratory Hours 3 Credit Hours
    Candidates will examine and implement the process of classroom-based action research. Topics covered include an overview of the action research process, planning and developing a research plan, collecting and analyzing data, and developing and sharing action research reports. The curriculum will also focus on how to engage and facilitate colleagues’ use of action research to improve a problem of practice in the teacher leader’s content area.
  

  • TLED 7990:Residency & Capstone

    0 Class Hours 9 Laboratory Hours 3 Credit Hours
    Prerequisite: Permission of the program director.
    The residency provides candidates an opportunity to engage in field-based opportunities to develop teacher leadership skills (Teacher Leadership Standards, GaPSC 505-3-.53) under the supervision of a Candidate Support Team. These skills include planning and leading professional development; mentoring and coaching other teachers; aligning curriculum, instruction, and assessment; modeling best teaching practices; analyzing data and improving learning through data-informed decision-making; applying research-based approaches to instructional challenges; and collaborating with all stakeholders to improve student learning. Candidates will demonstrate their development of these skills through various assignments, most notably a Residency Project and a Capstone Portfolio.
  

  • TLED 8200:Mentoring, Coaching and Facilitating School Improvement

    3 Class Hours 0 Laboratory Hours 3 Credit Hours
    Prerequisite: Admission to the Ed.S. or Ed.D. program.
    This course focuses on specific instructional supervision research, models, and strategies that promote and advocate for collegial schools devoted to improving school wide learning through distributed leadership. Instructional supervision is placed within a developmental, contextual, constructive, humanist paradigm; and examined as a process of purposeful adult interactions and cognitions that promote autonomous, reflective, self-directed teacher practitioners committed to student learning and continual school improvement. This course will focus on the development and application of the knowledge base, interpersonal skills, technical skills, and tasks necessary for instructional supervision, mentoring and coaching. Emphasis will be also placed on school and system factors (sociocultural and political) that may affect teacher leadership in instructional supervision.
  

  • TLED 8830:Curriculum, Instruction and Assessment for Teacher Leaders

    3 Class Hours 0 Laboratory Hours 3 Credit Hours
    This course is designed to provide teacher leaders with the knowledge, skills, and dispositions necessary to make critical curriculum and assessment decisions to help improve learning for all student subgroups. Teacher leaders will use acquired knowledge to analyze, identify gaps, and reconcile areas of the curriculum that do not meet the needs of all students.
  

  • TLED 9900:Dissertation

    1-9 Class Hours 0 Laboratory Hours 1-9 (Repeatable) This course may be repeatable for more than 9 credit hours until degree completion Credit Hours
    Prerequisite: Admission to the Ed.D. program and 12 hours of graduate level research courses.
    Course work supports and guides doctoral candidates in the implementation of their research and the development and defense of the dissertation. This format and structure will provide individual time with the Doctoral Committee and collegial and academic support from their peers.

    Note Course may be repeated as necessary.

WebMBA
  

  • WMBA 1000:Georgia WebMBA Orientation

    0 Class Hours 0 Laboratory Hours 0 Credit Hours
    The Georgia WebMBA Orientation focuses on team building, program requirements and information, and includes interaction with our program faculty, administrators, and graduates. Sessions include technology seminars, communication and team maintenance, personality assessments and presentations by course leads for each WebMBA course. Students will work in their teams to create team contracts, have face-to-face time with their faculty, deans and administrators and participate in a panel discussion comprised of current students and alumni. All students must successfully complete this mandatory orientation held in Atlanta prior to starting the first semester.
  

  • WMBA 6000:Human Behavior in Organizations

    3 Class Hours 0 Laboratory Hours 3 Credit Hours
    Human Behavior in Organizations is a graduate level introductory course to organizational behavior designed for both the entry level and high level manager with any functional responsibility. This course explores some of the ways in which human behavior affects how one manages and leads and ultimately how it affects individual, group, and organizational performance. Students will apply concepts to case studies, their own companies and industry leaders. By the end of the course, students will be able to identify key organizational behavior issues and apply practical solutions to improve organizational effectiveness.
  

  • WMBA 6010:Managerial Accounting

    3 Class Hours 0 Laboratory Hours 3 Credit Hours
    Managerial Accounting is designed for both entry level and high level managers with any functional responsibility. The course covers a wide range of topics that emphasize the use of both internal and external data to enhance the decision-making skills of managers. Concepts covered include an overview of the management accounting function within the organization, cost management and cost accumulation systems, planning and control systems, use of historical data in forecasting costs, and the use of accounting information in management decision-making. Case studies will be used to enhance students’ critical thinking, problem solving, and communication skills. Students will apply concepts to a variety of companies using problems and case studies. By the end of the course, students will be able to understand and apply accounting information in management decision making functions.
  

  • WMBA 6020:Managerial Communications

    3 Class Hours 0 Laboratory Hours 3 Credit Hours
    Designed to meet the needs of the practicing manager. Included are the internal and external communications carried out by managers in organizations and the organizational and human variables, which influence these communications. Included is the management of information systems. Communication styles of managers from different cultures are discussed.
  

  • WMBA 6030:Global and International Business

    3 Class Hours 0 Laboratory Hours 3 Credit Hours
    Global and International Business Strategy is designed for both entry level and high level managers with any functional responsibility. The course is designed to explain to students the growing opportunities and potential risks in doing business across national boundaries. The nature and economic role of the global business, including the impact of legal, political, social, and cultural variables are examined for their influence upon business performance and managerial activity. Students will apply concepts to case studies, country report, and other assignments. By the end of the course, students will have a truly global approach in identifying, analyzing, and solving problems.
  

  • WMBA 6040:Managerial Decision Analysis

    3 Class Hours 0 Laboratory Hours 3 Credit Hours
    Managerial Decision Analysis is designed for entry level through high level managers who either provide input to or are responsible for managerial decisions based on solid logic and analysis. The course presents an introduction to the statistical and management science techniques that are most commonly used by managers in both the public and private sectors. We build the course providing tools you may find useful for your team project which may either be a consulting project addressing a real issue in a not-for-profit or for-profit entity or focus on a current topic of interest to a segment of the business community. By the end of the course, students will be able to understand the role of quantitative methods in the decision-making process; demonstrate the ability to visualize, present, analyze and interpret business data; develop an understanding of the application of quantitative analysis to the solution of management problems; and utilize spreadsheet analysis as a tool in analyzing data and developing a solution/recommendation to a problem situation.
  

  • WMBA 6050:Strategic Marketing

    3 Class Hours 0 Laboratory Hours 3 Credit Hours
    Strategic Marketing is a graduate level introductory course to marketing designed for both the entry level and high level manager with any functional responsibility. The purpose of the course is to familiarize students with the marketing concept and to help students understand how the marketing concept (and a firm’s market orientation) influences various decisions made by managers in a firm. Marketing management involves the coordination and control of the firm’s marketing functions in a dynamic operating environment. This course provides a study of the strategic managerial aspects of marketing and covers topics that include basic marketing concepts as well as some of the tools and strategies used by marketing managers. Topics focus on product, price, promotion, and place in the ethical planning, implementing, and controlling of marketing operations. A strategic marketing plan project utilizing an organization of the associates’ choice provides the opportunity for students to apply and demonstrate understanding of the concepts learned in the course to a real-world situation.
  

  • WMBA 6060:Managerial Finance

    3 Class Hours 0 Laboratory Hours 3 Credit Hours
    Managerial Finance is a study of financial risk and return, capital budgeting, valuation, capital structure, working capital management and current topics in financial management. It develops a student’s knowledge, analytical skills and communication skills in the area of financial management. The course gives students tools to analyze a company’s financial position relative to the industry, apply time value of money concepts to business cash flows, evaluate the acceptability of a short-term and long-term financial decision, and understand the relationship between capital structure, risk, and the cost of capital.
  

  • WMBA 6070:Entrepreneurship

    3 Class Hours 0 Laboratory Hours 3 Credit Hours
    Entrepreneurship is intended to expose graduate business students to both the spirit and mechanics of entrepreneurial and entrepreneurial thinking and action. The course takes the perspective of both the needs of the would-be entrepreneur as well as the manager of creative and entrepreneurial activity This course is also designed to offer insights for students seeking entrepreneurial careers in new or established organizations. . It describes the new venture startup process and strategies for increasing the likelihood of successful venture launch. Topics covered include models of new venture formation, strategic resource acquisition and deployment, marketing, operations, and financial strategies for successful ventures, and the leadership skills and behaviors required for venture success. Participants will also learn how to write a business plan, and assess business plans written by others.
  

  • WMBA 6080:Management Information Systems

    3 Class Hours 0 Laboratory Hours 3 Credit Hours
    The Management Information Systems course is designed to provide a framework for understanding how technology can support or destroy everything from strategic decisions to operational actions. Course lectures, discussions, and application-oriented essay exams are used to develop the ability to incorporate academic theories into business practice. Business cases, current events, and personal experiences are discussed to help students learn to find points of success or failure based on the theories presented in class. Each student team investigates and presents current research from top academic journals and trade publications. By the end of the term, students have been exposed to many business cases and numerous current research publications with the intent of developing their ability to analyze situations in light of academic theories that have been proven to foster IT success. The final project helps students apply these skills in a very personal way to develop their own framework for IT decisions as they exit the course.
  

  • WMBA 6100:Operations and Supply-Chain Management

    3 Class Hours 0 Laboratory Hours 3 Credit Hours
    This course is designed for both new and high level managers with any functional managerial responsibility - which requires both administrative and analytical skills. The course will cover a wide range of topics such as: operations strategy, process selection, capacity planning, facility location and layout planning, job design, and total quality management. Students will apply concepts to all possible operational issues and challenges in their daily function. By the end of the course, students will be able to identify strategic decisions in operations management; select appropriate process for a given production system, employ available techniques in firm’s long-range capacity planning and layout design, and apply all related OM approaches in management decision making process.
  

  • WMBA 6110:Strategic Management

    3 Class Hours 0 Laboratory Hours 3 Credit Hours
    Strategic Management is designed to provide an executive viewpoint of strategy formation and management of an enterprise. Designed to be the final experience for WebMBA students, the course is an integrative capstone for the program. Students learn how to audit and analyze complex situations to determine the firm’s strategies for long-run survival and growth in competitive markets. They also examine techniques for analysis of environmental conditions and trends, opportunities and threats, resource strengths and limitations. Case studies, discussions and a sophisticated strategy simulation constitute the primary content of the course. By the end of the course, participants will know how to plan, implement, and control organizational efficiency and effectiveness at both the strategic and operational level.
 

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