Sep 27, 2024  
2017-2018 Undergraduate Catalog 
    
2017-2018 Undergraduate Catalog [ARCHIVED CATALOG]

Courses


 

Sport Management

  
  • SM 3400:Sport Facility Design and Management

    3 Class Hours 0 Laboratory Hours 3 Credit Hours
    Prerequisite: SM 2100  , minimum 2.75 Institutional GPA.
    This course focuses upon the principles and theories involving the overall design and management of events in indoor and outdoor facilities for sport and physical activity. Topics covered include facility design, planning, management, operations, and maintenance.

  
  • SM 3500:Sponsorship and Fundraising in Sport

    3 Class Hours 0 Laboratory Hours 3 Credit Hours
    Prerequisite: SM 2100  , minimum 2.75 Institutional GPA.
    This course focuses on the role of sponsorship and fundraising in sport. Students are exposed to sport-specific fundraising challenges and goals for events, facilities, and organizations in the sports industry. The roles of media and public relations are also addressed. This course stresses practical applications in unique situations faced by sport management practitioners.

  
  • SM 3600:Sports Broadcasting

    3 Class Hours 0 Laboratory Hours 3 Credit Hours
    Prerequisite: SM 2100  , minimum 2.75 Institutional GPA.
    This course focuses on the many disciplines in the art of sports broadcasting. The course emphasizes current techniques and applications. Students are required to produce and present sports broadcasting materials encompassing studio and remote applications.

  
  • SM 3700:International Sport Governance

    3 Class Hours 0 Laboratory Hours 3 Credit Hours
    Prerequisite: SM 2100  , minimum 2.75 Institutional GPA.
    This course introduces students to a wide spectrum of issues related to the governance of international sport organizations and events throughout the world. Students are introduced to the roles that politics, culture, and policy play in international sport organizations. Topics covered include the Olympics, Paralympics, intercultural communication and sport models throughout the world.

  
  • SM 3900:Foundations of Recreation and Leisure

    3 Class Hours 0 Laboratory Hours 3 Credit Hours
    Prerequisite: SM 2100  , minimum 2.75 Institutional GPA.
    This course provides a foundation for the study of recreation and leisure and the organizations that deliver recreational services. It includes an overview of the philosophical, historical, social, cultural, and political factors which influence recreation and leisure. The course emphasizes the role of the professional in the delivery of recreational services.

  
  • SM 4200:Recreation Programming

    3 Class Hours 0 Laboratory Hours 3 Credit Hours
    Prerequisite: SM 2100  , minimum 2.75 Institutional GPA.
    This course provides students with an overview of recreation programming across the age spectrum and diverse populations. Leisure programming trends and niche marketing are examined as well. This course also facilitates the understanding and application of the recreation program process for leisure delivery systems including an introduction to activity plans, program design, delivery, and evaluation.

  
  • SM 4300:Commercial Recreation and Tourism

    3 Class Hours 0 Laboratory Hours 3 Credit Hours
    Prerequisite: SM 2100   minimum 2.75 Institutional GPA.
    This course introduces students to historical and contemporary perspectives of the field of commercial recreation and tourism. The course stresses the necessary writing, technical, business management, and people skills needed to compete in the current recreation and tourism marketplace.

  
  • SM 4400:Directed Study

    1-6 Class Hours
    Prerequisite: SM 2100  , minimum 2.75 Institutional GPA, and department chair prior to registration.
    This course covers topics of an advanced nature external to regular course offerings and requires independent instruction according to an agreement with a faculty supervisor.

  
  • SM 4490:Special Topics in Sport Management

    1-3 Class Hours
    Prerequisite: SM 2100  , minimum 2.75 Institutional GPA.
    This course covers selected topics of interest in sport management that are not regularly offered by the Department of Exercise Science and Sport Management.

  
  • SM 4600:Research Methods in Sport Management

    3 Class Hours 0 Laboratory Hours 3 Credit Hours
    Prerequisite: SM 2100  , minimum 2.75 Institutional GPA.
    This course provides students with an overview of the research process applied in the study of sport management. Students are introduced to experimental design, data gathering techniques, and statistical concepts and methods applicable to the sport management discipline. Students are expected to produce and critique academic research.

  
  • SM 4650:Sports Analytics

    3 Class Hours 0 Laboratory Hours 3 Credit Hours
    Prerequisite: SM 4600   and SM 4700  
    This course focuses on statistical applications in the field of sport management. Students will be introduced to analytical methods used to explain current trends in the sports marketplace. Students will learn how to formulate a research hypothesis and analyze that hypothesis using statistical software and statistical techniques including correlation, hypothesis testing, analysis of variance, nonparametric techniques, and regression. Students will also learn how to write a report based on the findings of their research.

  
  • SM 4700:Sports Economics

    3 Class Hours 0 Laboratory Hours 3 Credit Hours
    Prerequisite: SM 2100  , and  ECON 2100  , minimum 2.75 Institutional GPA.
    This course applies economic principles to sports. Economic models from industrial organization, public finance, labor economics, game theory, macroeconomics, and other fields of economics are used to gain a better understanding of sports and the modern sports industry.

  
  • SM 4800:Sports Finance

    3 Class Hours 0 Laboratory Hours 3 Credit Hours
    Prerequisite: SM 2100  , minimum 2.75 Institutional GPA.
    This course covers basic principles of finance as they relate to sports. Emphasis is placed current practices and issues relating to funding, budgeting, and revenue acquisition in sports through private and public means. Topics include taxing and borrowing, ticket sales, concessions, broadcast sales, and sponsorship. The course includes an introduction to collection and analysis of sports business data.

  
  • SM 4900:Senior Seminar in Sport Management

    1 Class Hours 6 Laboratory Hours 3 Credit Hours
    Prerequisite: Completion of all 2000-level and 3000-level non-elective Sport Management courses, minimum 2.75 Institutional GPA.
    This capstone course for the Sport Management major integrates the major coursework with field-based experience. Two-thirds of the course is devoted to a practicum field experiences at a site, which is located by the student and pre-approved by the instructor prior to the beginning of the semester. Contemporary issues, problems, research and theories are discussed. Additional course content includes: strategies for seeking internship and entry-level employment, long-term career planning, and post graduate study options.

  
  • SM 4950:Senior Internship in Sport Management

    0 Class Hours 36 Laboratory Hours 12 Credit Hours
    Prerequisite: SM 4900  , 90+ credit hours, minimum 2.75 Institutional GPA.
    This course provides students with an opportunity for an in-depth work experience at an approved sport management internship site. Students are expected to acquire relevant skills and develop a professional network in order to prepare for entry-level employment in the sport marketplace.


Statistics

  
  • STAT 1107:Introduction to Statistics

    3 Class Hours 0 Laboratory Hours 3 Credit Hours
    Prerequisite: MATH 1101   or MATH 1111   or MATH 1112   or MATH 1113   or MATH 1190  
    This course in basic statistics includes descriptive statistics, probability, distributions, hypothesis testing, inferences, correlation, and regression.

  
  • STAT 3010:Computer Applications of Statistics

    3 Class Hours 0 Laboratory Hours 3 Credit Hours
    Prerequisite: STAT 1107   or ECON 2300   or STAT 3125   or MATH 3332  
    This course is an introduction to the use of computer-based statistical software packages and applications in the analysis and interpretation of data. Topics include both descriptive statistics and inference methods. Software packages include SAS, Excel, and R, and one of JMP, SPSS, or Minitab.

    Notes: Offered as an online course.
  
  • STAT 3120:Statistical Methods I

    3 Class Hours 0 Laboratory Hours 3 Credit Hours
    Prerequisite: STAT 3010  
    This course is designed to provide students with a foundation in statistical methods, including confidence intervals for population parameters, correlation, linear regression and hypothesis testing (F and T-tests for regression, chi-square for independence, 2 group and paired sample T-tests). These concepts are taught with heavy emphasis on statistical computing software and real world datasets. Students are expected to have a working knowledge of SAS, SPSS, and Minitab.

  
  • STAT 3125:Biostatistics

    3 Class Hours 0 Laboratory Hours 3 Credit Hours
    Prerequisite: BIOL 1107   or CHEM 1212   or permission of the instructor.
    In this course students use descriptive statistics and visual displays to describe data. They learn about some common population and sample distributions. They perform and analyze results of statistical inferences, including confidence intervals, correlation, linear regression, odds/risk ratios, and hypothesis testing (F and T-tests for regression, Chi-square for independence, 2 group and paired sample t-tests). Analyses are performed using MS-Excel. The student is required to select, analyze and interpret real life data for a project.

  
  • STAT 3130:Statistical Methods II

    3 Class Hours 0 Laboratory Hours 3 Credit Hours
    Prerequisite: STAT 3010   and (STAT 3120   or STAT 3125 )
    Students continue to build their foundation in statistical methods in this course beginning with review of t-tests. They perform and analyze results of Wilcoxon Signed Rank and Rank Sum tests (Non-Parametric t-tests), ANOVA, Kruskal Wallis (Non-Parametric ANOVA) and Multiple Regression. These concepts are taught with heavy emphasis on statistical computing software (especially SAS) and real world datasets.

  
  • STAT 3396:Cooperative Study

    1-3 Credit Hours
    Prerequisite: Approval of the coordinator of cooperative education/internship.
    This course is a supervised work experience program for a minimum of two academic semesters at a site in business, industry, or government. It is for sophomore, junior, or senior-level students who wish to obtain successive on-the-job experience in conjunction with their academic training.

  
  • STAT 3398:Internship

    1-9 Credit Hours
    Prerequisite: Approval of the program coordinator and department chair.
    This course is a supervised, credit-earning work experience of one academic semester with a previously approved business firm, private agency, or government agency.

  
  • STAT 4025:Clinical Trial Design

    3 Class Hours 0 Laboratory Hours 3 Credit Hours
    Prerequisite: STAT 3125   or STAT 3120  
    The course introduces students to statistical concepts used to design clinical trials, or randomized studies of humans. Students will be able to design, conduct, and analyze clinical trials in the format required by the Food and Drug Administration. The topics include endpoint definition, sources of bias, randomization schemes, types of blindness, phases of clinical studies (I-IV), hypothesis formation, sample size determination, patient recruitment, adverse events, and protocol development.

  
  • STAT 4030:Programming in R

    3 Class Hours 0 Laboratory Hours 3 Credit Hours
    Prerequisite: STAT 3010   or STAT 3125  
    This course in statistical computing uses the R/S-Plus programming environment for data management, and basic statistical analysis. The overall objective of this course is to prepare students to use the R package in practical statistical/quantitative application. Topics covered include object-oriented programming, porting data, general data management, basic statistical analyses, and writing customized user-defined functions.

  
  • STAT 4120:Applied Experimental Design

    3 Class Hours 0 Laboratory Hours 3 Credit Hours
    Prerequisite: STAT 3130  
    Methods for constructing and analyzing designed experiments are the focus of this course. 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. Statistical software, including SPSS, Minitab and SAS will be utilized.

  
  • STAT 4125:Design and Analysis of Human Studies

    3 Class Hours 0 Laboratory Hours 3 Credit Hours
    Prerequisite: STAT 3130  
    This course serves 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 are able to design, analyze, and report the results of a simple epidemiologic investigation and interpret literature related to analysis of studies of disease causality and treatment. Students seeking Capstone credit are asked to do further readings related to the theory underlying statistical measures of disease rates. They also are expected to give a presentation and write a paper.

  
  • STAT 4210:Applied Regression Analysis

    3 Class Hours 0 Laboratory Hours 3 Credit Hours
    Prerequisite: STAT 3130  
    Topics include simple linear regression, multiple regression models, generalized linear model, multicollinearity, qualitative predictor variables, model selection and validation, identifying outliers and influential observations, diagnostics for multicollinearity, and logistic regression and discriminant analysis.

  
  • STAT 4310:Statistical Data Mining

    3 Class Hours 0 Laboratory Hours 3 Credit Hours
    Prerequisite: STAT 3130  or permission of the instructor.
    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 cover all these issues and will illustrate the whole process by examples of practical applications. The students will use recent SAS Enterprise Miner software.

  
  • STAT 4330:Applied Binary Classification

    3 Class Hours 0 Laboratory Hours 3 Credit Hours
    Prerequisite: STAT 4210  
    Binary Classification is a heavily used concept in statistical modeling. Common applications include credit worthiness and the associated development of a credit risk score, fraud detection, the presence of a disease or the identification of manufacturing units which fail inspection. Students will learn how to use logistic regression, odds, ROC curves, and maximization functions to apply binary classification concepts to real-world datasets. This course will utilize SAS-software and students are expected to have a strong working knowledge of SAS.

  
  • STAT 4400:Directed Study

    3 Class Hours 0 Laboratory Hours 3 Credit Hours
    Prerequisite: Approval of the instructor, major area committee, and department chair.
    Special advanced topics external to regular course offerings.

  
  • STAT 4490:Special Topics in Statistics

    3 Class Hours 0 Laboratory Hours 3 Credit Hours
    Prerequisite: STAT 3130  
    Special topics of interest to faculty and students.


Study Abroad

KSU offers study abroad opportunities in a wide variety of countries and disciplines. All study abroad courses, whatever their discipline or level of study, are listed as SA courses for purposes of registration and administration. Full course titles appear on students’ transcripts. Computer numbers necessary for registration in SA courses are communicated to students by letter after they have been accepted into a study abroad program and paid a deposit. For more information, contact the Institute for Global Initiatives, Humanities 201, (770)423-6336.

  
  • SA 2290:Lower-division Study Abroad

    0-9 Credit Hours
    Prerequisite: Varies with discipline and subject.
    Lower division study abroad course denoting freshman, sophomore level work.

  
  • SA 4400:Study Abroad Directed Study

    1-3 Credit Hours
    Prerequisite: Approval of the instructor and department chair prior to registration.
    Available for all disciplines.

  
  • SA 4490:Upper-division Study Abroad

    0-12 Credit Hours
    Prerequisite: Varies with discipline and subject.
    Upper division study abroad course denoting junior, senior level work.


Survey

  
  • SURV 2110:Introduction to Mapping

    3 Class Hours 3 Laboratory Hours 4 Credit Hours
    Prerequisite: MATH 1113  
    Introductory class in basic surveying and mapping skills including geographic information systems (GIS). Topics include scales, leveling, horizontal measurements, GPS mapping, topography, map projections, GIS analytical tools, data sources, raster and vector data and software applications. Emphasis will be on small scale mapping.

  
  • SURV 2200:Construction Measurements

    3 Class Hours 3 Laboratory Hours 4 Credit Hours
    Prerequisite: MATH 1113  
    Use and care of engineers level, transit and tape; leveling, traversing, stadia, contours, horizontal and vertical field layouts for buildings; reading and interpretation of site survey maps. (No credit for CET or Surveying and Mapping majors.)

  
  • SURV 2221:Surveying I

    3 Class Hours 0 Laboratory Hours 3 Credit Hours
    Prerequisite: EDG 2160  and MATH 1113   Corequisite: SURV 2221L
    This course deals with the determination of angles, distances, elevations and horizontal and vertical location using total station and level. Simple horizontal and vertical curves and contouring are covered in this course. This course also introduces the Global Positioning System and coordinate computations.

  
  • SURV 2221L:Surveying I Lab

    0 Class Hours 3 Laboratory Hours 1 Credit Hours
    Prerequisite: EDG 2160   and MATH 1113   Corequisite: SURV 2221
    This course deals with the measurement of angles, distances, elevations, horizontal and vertical location using total station and level in the field. This course also covers a topographic survey project.

  
  • SURV 3222:Surveying II

    3 Class Hours 3 Laboratory Hours 4 Credit Hours
    Prerequisite: SURV 2221  
    Route geometry computations and field techniques; automated data collection and reduction for topographic surveys; coordinate computations for intersections; route design project.

  
  • SURV 3320:Photogrammetry and Remote Sensing

    2 Class Hours 3 Laboratory Hours 3 Credit Hours
    Prerequisite: SURV 3421   or  GEOG 3315  
    The course will focus on the analysis and interpretation of photographic and satellite imagery. Additionally, the course will examine vertical features in orthography; the use of ground control points; and project planning using digital softcopy methods.

  
  • SURV 3330:Construction Surveying

    3 Class Hours 3 Laboratory Hours 4 Credit Hours
    Prerequisite: SURV 3222  
    Layout of designed structures from land boundaries, right of way parcels, applications of coordinate geometry, hydrographic surveying.

  
  • SURV 3421:Geographic Information Systems I

    2 Class Hours 3 Laboratory Hours 3 Credit Hours
    Prerequisite: SURV 2221  
    This course provides students with an introduction to the fundamental concepts of: Geographic Information Systems (GIS); spatial data analysis; digital elevation models; and the surveying and mapping components of GIS development. GIS is used in a diverse number of fields, including civil engineering, surveying and city planning. Lectures introduce the theory and framework of GIS, while the labs introduce: the applications; processing; and presentation of geographic and spatial data.

  
  • SURV 3441:Vector & Raster Analysis

    2 Class Hours 3 Laboratory Hours 3 Credit Hours
    Prerequisite: SURV 3421  
    Manipulation of vector and raster data.Ê Use of local, focal, block and zonal statistical functions.Ê Use of coordinates, datums, projections.Ê Development of map topology.Ê Overlay and proximity analysis.Ê Spatial joins and queries.Ê Data storage models

  
  • SURV 3451:Terrain Analysis

    2 Class Hours 3 Laboratory Hours 3 Credit Hours
    Prerequisite: SURV 3320  
    This course examines the theory and methods of the generation, compilation, analysis, and applications of digital elevation data. Specific topics include GIS, terrain data models, photogrammetry and LiDAR DEM processing, terrain surface modeling, digital terrain analysis, terrain visualization, and watershed delineation. Computer exercises in the generation and processing of DEM using GIS and image processing software packages.

  
  • SURV 3500:Applied Hydrology and Hydraulics

    3 Class Hours 1 Laboratory Hours 4 Credit Hours
    Prerequisite: PHYS 1111   & PHYS 1111L  
    This course deals with the application of hydrology and hydraulics in small site design. An emphasis is on residential subdivision and small commercial tract design. Note: This course is not available for credit for Engineering majors.

  
  • SURV 4110:Geospatial Sciences Practice

    1 Class Hours 6 Laboratory Hours 3 Credit Hours
    Prerequisite: SURV 3451  
    A capstone course in the applications of geospatial science technology. Course requires a project developed with an industry partner in applying geospatial science analytical skill, analysis, and mapping

  
  • SURV 4410:Surveying Computations and Adjustments

    3 Class Hours 3 Laboratory Hours 4 Credit Hours
    Prerequisite: SURV 3222   and MATH 2202  
    Advanced surveying computations; matrix algebra; computer methods; statistical analysis of error propagation; variance and co-variance; least squares adjustments.

  
  • SURV 4415:Geodetic Surveying Methods

    3 Class Hours 3 Laboratory Hours 4 Credit Hours
    Prerequisite: SURV 3421  
    Topics in Geodetic Surveying Methods including traversing, leveling and GPS. Coordinate systems and projects are utilized.

  
  • SURV 4420:Remote Sensing

    3 Class Hours 4 Laboratory Hours 4 Credit Hours
    Prerequisite: SURV 3320  
    This course evaluates remote sensing systems; ground truthing; mapping applications; satellite imagery integration into GIS.

  
  • SURV 4422:Geographic Information Systems II

    3 Class Hours 3 Laboratory Hours 4 Credit Hours
    Prerequisite: SURV 3421  
    Continuation of GIS I; data collection techniques; advanced systems and macro programming.

  
  • SURV 4423:Advanced Field Operations

    2 Class Hours 6 Laboratory Hours 4 Credit Hours
    Prerequisite: SURV 3222  
    Emphasis placed on production surveying; use of codes to develop maps; extensive data collection; computer drafting and plotting.

  
  • SURV 4465:Legal Aspects of Land Surveying

    4 Class Hours 0 Laboratory Hours 4 Credit Hours
    Prerequisite: SURV 3222  
    Cadastral systems; Georgia laws on surveying and property; boundary survey legal research; writing of legal descriptions; evidence evaluation; US Public Land System.

  
  • SURV 4470:Land Development Design

    2 Class Hours 1 Laboratory Hours 3 Credit Hours
    Prerequisite: SURV 2221   and SURV 2221L   and (CE 4703   or SURV 3500  )
    This course deals with site analysis, subdivision design, drainage design, sewer design and discusses the legal requirements, platting, and CAD computer methods.

  
  • SURV 4475:Land Surveying Practice

    1 Class Hours 3 Laboratory Hours 2 Credit Hours
    Prerequisite: SURV 4465  
    Legal research; boundary analysis; boundary survey project; office procedures; business practice.

  
  • SURV 4490:Special Topics in Surveying

    1-4 Credit Hours
    Prerequisite: Junior or Senior Standing, Consent of the Department Chair
    Special Topics offered by the program on a demand basis.


Systems Engineering

  
  • ISYE 1000:Introduction to Industrial & Systems Engineering

    3 Class Hours 0 Laboratory Hours 3 Credit Hours
    This course is an introduction to the industrial and systems engineering profession and discipline through exposure to problems, principles, and practice. Integrated systems approach to problem solving. Foundation of data manipulation and preparation for problem analysis. Development of communication skills, career opportunities, importance of professionalism, ethics, contemporary challenges, lifelong learning, and introduction to the department. How to plan for graduation and other useful items are also included.

  
  • ISYE 2600:Applications of Probability

    3 Class Hours 0 Laboratory Hours 3 Credit Hours
    Prerequisite: MATH 1190  
    This course covers axioms of probability, continuous and discrete distributions used in engineering, sampling distributions, expectation, conditional probability, central limit theorem, and introduction to Poisson Processes.

  
  • ISYE 3100:Systems Reliability & Maintainability

    3 Class Hours 0 Laboratory Hours 3 Credit Hours
    Prerequisite: (ISYE 2600   orMATH 2332  ) and Engineering Standing
    This course introduces engineering principles and methods used for system reliability and maintainability. Data collection, accelerated testing, FMEA, FTA, system safety, and availability, sustainability are introduced.

  
  • ISYE 3120:Contemporary Technological Systems: Design, Analysis, & Architecture

    3 Class Hours 0 Laboratory Hours 3 Credit Hours
    Prerequisite: ISYE 1000  ,  ISYE 3100   and Engineering Standing
    This course focuses on how system engineering principles are applied to modern technological and infrastructure systems. Defense, space, communication, energy, transportation, aerospace and manufacturing systems are analyzed. Other topics include architecture descriptions, heuristic problem solving, sociotechnical issues and managing complexity.

  
  • ISYE 3125:Statistical Quality Control

    3 Class Hours 0 Laboratory Hours 3 Credit Hours
    Prerequisite: (ISYE 2600   or MATH 2332  ) and Engineering Standing
    A study of the fundamentals of statistical quality control is provided. Topics include statistical process control with emphasis on applications and techniques including control charts for variables and attributes, and process capability. Other topics include scientific sampling fundamentals, acceptance sample by attributes and variables, and reliability. This course includes a Term Project where the student will use the concepts presented in this course to create a quality control plan for an organization that includes an acceptance sampling plan, a control chart, and a warranty recommendation based on reliability theory.

  
  • ISYE 3150:Design & Improvement of Quality Processes

    3 Class Hours 0 Laboratory Hours 3 Credit Hours
    Prerequisite: Engineering Standing
    Students will learn quality history, philosophies, and the relationship of quality to organizational performance. Emphasis will be given to the management, organization, creation and evaluation of quality systems necessary to assure organizational performance, including basic quality tools, and approaches to quality and process improvement such as Lean and Six Sigma.

  
  • ISYE 3200:Human Machine Systems

    3 Class Hours 0 Laboratory Hours 3 Credit Hours
    Prerequisite: ISYE 1000   & Engineering Standing
    In this course students will study the relationship between humans and the systems they interact with. Students will study human physical and psychological strengths and weaknesses as well as organizational and political issues that influence the effectiveness of Human Machine interactions.

  
  • ISYE 3350:Logistics & Supply Chain Systems

    3 Class Hours 0 Laboratory Hours 3 Credit Hours
    Prerequisite: Engineering Status
    This course is an analysis of decision making in the current logistics environment and the tools and optimization models needed for finding solutions to problems relating to supply chain design and strategy, transportation, and warehouse management.

  
  • ISYE 3398:Internship

    3 Class Hours 0 Laboratory Hours 3 Credit Hours
    Prerequisite: 90 credit hours and departmental approval
    A structured out of the classroom experience in a supervised setting that is related to the student’s major and career interests. Practical experience is combined with scholarly research under the guidance of faculty and the internship supervisor. Internship sites must be secured in advance of the semester of the placement and must be approved by the student’s advisor and internship coordinator.

  
  • ISYE 3400:Deterministic Operations Research

    3 Class Hours 0 Laboratory Hours 3 Credit Hours
    Prerequisite: MATH 3260  
    This course covers formulation and solution of deterministic models of operations research linear, integer, and dynamic programming. Transportation, assignment, shortest path, and minimum spanning tree problems will be introduced to address various applications in the areas of engineering design, production planning and scheduling, inventory control, transportation and logistics.

  
  • ISYE 3407:Six Sigma and Lean Manufacturing

    3 Class Hours 0 Laboratory Hours 3 Credit Hours
    Prerequisite: Engineering Standing
    An introduction to the application of the six-sigma methodology in the area of process improvement, and an introduction to lean manufacturing concepts. This course includes a Term Project where the student will use the concepts presented in this course to create a quality control plan for an organization that includes an acceptance sampling plan, a control chart, and recommendations for optimizing the overall efficiency of the organization.

  
  • ISYE 3450:Human Factors Engineering

    3 Class Hours 0 Laboratory Hours 3 Credit Hours
    Prerequisite: (ISYE 2600  or MATH 2332  ) and Engineering Standing
    An examination of the principles and practices of work analysis and work measurement. Emphasis is on a variety of analytical tools and the development of the student’s skill in the use of a stopwatch. This course includes a Term Project where the student will use the concepts of human factors engineering to create an optimal work area layout that maximizes production output and achieves the quality and safety objectives of the organization and also minimizes employee fatigue. The Term Project will include the creation of an engineering time standard for the optimized process.

  
  • ISYE 3600:Statistics with Applications

    3 Class Hours 0 Laboratory Hours 3 Credit Hours
    Prerequisite: (ISYE 2600   or MATH 2332  ) and Engineering Standing
    This course covers point and interval estimation, hypothesis testing, analysis of variance, and introduction to regression analysis, with applications to engineering problems.

  
  • ISYE 3801:Aerodynamics

    3 Class Hours 0 Laboratory Hours 3 Credit Hours
    Prerequisite: MATH 2202   & Engineering Standing
    An introduction to aerodynamics; including circulation theory of lift, thin airfoil theory, viscous flow, boundary layer, finite wing theory, and drag in incompressible flow.

  
  • ISYE 3802:Aircraft Design & Performance

    3 Class Hours 0 Laboratory Hours 3 Credit Hours
    Prerequisite: ISYE 3801   and Engineering Standing
    Airplane conceptual design principles are developed to meet modern aerodynamics, propulsion, structural, and performance specifications. This course examines the complete airplane design, including specifications, aerodynamic calculations, inboard profile drawing, weight and balance, general arrangement drawing, aerodynamic drag analysis, and complete performance report.

  
  • ISYE 3803:Fundamentals of Avionics

    3 Class Hours 0 Laboratory Hours 3 Credit Hours
    Prerequisite: ISYE 3801  & Engineering Standing
    The primary topics of this course are related to the understanding of the principles, theory, and technology of modern avionic systems for both military and civil aircraft. Various subsystems including sensory, fly-by-wire control, display, navigation, air data, autopilots, and flight management are examined individually and as an integrated whole. Both mathematical and conceptual approaches to every subsystem will be taught as well as key considerations, such as flight safety, which undergird their usage and functionality.

  
  • ISYE 4200:Engineering Optimization: Stochastic Decision Models

    3 Class Hours 0 Laboratory Hours 3 Credit Hours
    Prerequisite: (ISYE 2600   or MATH 2332 ) and ISYE 3400  and Engineering Standing
    Modeling and solution of decision problems under uncertainty. Topics include Markov Chains, stochastic programming, stochastic dynamic programming, theory, utility theory and simulation. Computer solution techniques are emphasized

  
  • ISYE 4250:Manufacturing & Service Systems

    3 Class Hours 0 Laboratory Hours 3 Credit Hours
    Prerequisite: ISYE 3450  and Engineering Status
    This course is an analysis of decision-making in the current production environment. Topics include learning curves, manufacturing and service processes, waiting line analysis, process design, Lean supply chains, and Theory of Constraints.

  
  • ISYE 4320:Advanced Logistics

    3 Class Hours 0 Laboratory Hours 3 Credit Hours
    Prerequisite: ISYE 3350   and Engineering Standing
    This course will expand on the topics covered in the introductory logistics course, leading students to a deeper understanding of logistics and supply chain systems. Special emphasis will be given to current trends in the field, such as global logistics, reverse logistics, nontraditional supply chains, and risk assessment/disaster recovery. Each student will also research in more depth a single topic that interests them.

  
  • ISYE 4400:Directed Study

    1-4 Variable Credit Hours
    Prerequisite: Approval of instructor and department chair.
    This course covers special topics and seminars of an advanced nature, external to regular course offerings that allow a student to work individually with an instructor. A Directed Study may include original research projects and/or practicum experiences.

  
  • ISYE 4425:Facilities Planning & Material Handling

    3 Class Hours 0 Laboratory Hours 3 Credit Hours
    Prerequisite: ISYE 3450   and Engineering Standing
    This course explores fundamental concepts, theory, and procedures for the study of facilities design and location; physical layout; material flow principles; and material handling. Product design, process planning, and schedule design are integrated through the development of analytical procedures and use of Visio layout planning software to enhance the decision-making process in the design, rationalization and improvement of factory and office layouts. The knowledge learned in this course is integrated with knowledge from selected related courses to develop a laboratory design project by students working in teams.

  
  • ISYE 4490:Special Topics

    1-4 Variable Credit Hours
    Prerequisite: Approval of instructor and department chair and engineering standing
    Selected special topics of interest to faculty and students. This course may be taken more than once.

  
  • ISYE 4500:System Modeling & Simulation

    3 Class Hours 0 Laboratory Hours 3 Credit Hours
    Prerequisite: (ISYE 2600   orMATH 2332  ) and Engineering Standing
    This course covers modeling and simulation of systems. Topics include basic simulation and system modeling techniques, random sampling procedures, input analysis, output analysis and system evaluation. Practical implementations using common modeling languages and simulation software are emphasized.

  
  • ISYE 4801:Aircraft Propulsion

    3 Class Hours 0 Laboratory Hours 3 Credit Hours
    Prerequisite: ISYE 3801  & Engineering Standing
    This course involves preliminary design, subject to specifications, of an air-breathing engine for aircraft propulsion. This course discusses cycle calculations, installed performance and engine sizing information. Design and integration of components and support systems are explored. Propeller theory is introduced.

  
  • ISYE 4802:Helicopter Theory

    3 Class Hours 0 Laboratory Hours 3 Credit Hours
    Prerequisite: ISYE 3801   & Engineering Standing
    The course is designed for students interested in helicopter theory as an application of large scale complex system. It presents a comprehensive introduction to rotorcraft technology, covering a range of disciplines from design, aerodynamics and propulsion points of view. It teaches what a helicopter engineer or enthusiast needs to know to analyze an existing design or participate in the development of a new one. The course covers all aspects of hover, vertical flight and forward flight.

  
  • ISYE 4803:Aeronautics Senior Design Project

    3 Class Hours 0 Laboratory Hours 3 Credit Hours
    Prerequisite: ISYE 3802   & (ISYE 4801   or ISYE 4802  ) & Engineering Standing
    The course focuses on the student completing a project that is related to the design of an aerospace vehicle and demonstrating comprehensive application of the subject matter. The general intent is to demonstrate the students’ knowledge of the integrative aspects of the systems engineering process. There is a formal report and a defended oral presentation required before industrial and academic experts.

  
  • ISYE 4900:Senior Design Project

    1 Class Hours 4 Laboratory Hours 3 Credit Hours
    Prerequisite: Engineering Standing Concurrent:
    ISYE 4200 and ISYE 4500
    The course focuses on the student completing a project that is a comprehensive application of the subject matter in the ISYE curriculum. The general intent of the project is to demonstrate the students’ knowledge of the integrative aspects of the systems engineering process. There is a formal report and a defended oral presentation required before industrial and academic experts.

  
  • SYE 2100:Systems Analysis and Design

    3 Class Hours 0 Laboratory Hours 3 Credit Hours
    Prerequisite: Sophomore standing
    In this course students will learn techniques for developing, analyzing and portraying design and life cycle systems requirements. Students will learn to use tools and techniques including Quality Function Deployment, IDEF0 Charts, and Enhanced Block Flow Diagrams.

  
  • SYE 2290:Special Topics in Systems Engineering

    1-4 Credit Hours
    Prerequisite: Approval of the instructor and department chair.
    The course covers special topics at the intermediate level that are not in the regular course offerings. This course may be taken more than once.

  
  • SYE 3320:Engineering Economics and Decision Analysis

    3 Class Hours 0 Laboratory Hours 3 Credit Hours
    Prerequisite: MATH 1190  
    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, game theory, and incentive compatibility.

  
  • SYE 3700:Manufacturing and Production Systems

    3 Class Hours 0 Laboratory Hours 3 Credit Hours
    Prerequisite: SYE 2600 and SYE 3400 (can be taken concurrently) and Engineering Standing
    An analysis of decision making in the current production environment and the tools and optimization models needed for finding solutions to problems relating to production planning and scheduling, inventory, and warehouse design.

  
  • SYE 3710:Logistics and Supply Chain Systems

    3 Class Hours 0 Laboratory Hours 3 Credit Hours
    Prerequisite: SYE 2600 and SYE 3400 (can be taken concurrently) and Engineering Standing
    An analysis of decision making in the current logistics environment and the tools and optimization models needed for finding solutions to problems relating to supply chain design and strategy, transportation, and warehouse management.


Technical Communication

  
  • TCOM 2002:Productivity Tools and Technologies for Technical Communicators

    3 Class Hours 0 Laboratory Hours 3 Credit Hours
    Prerequisite: ENGL 1101  
    This course introduces students to core productivity tools and technologies used in technical communication. The in-depth features of open source and commercial productivity tools are explored with the goal of creating complex documents that leverage and integrate technical affordances. The course examines on-line workspaces, project management tools, and workflow products common to technical communication through various projects.

  
  • TCOM 2010:Technical Writing

    3 Class Hours 0 Laboratory Hours 3 Credit Hours
    Prerequisite: ENGL 1102  
    The course is an introduction to organization, style, and mechanics of technical writing. It includes practice in writing such typical documents as technical descriptions, instructions, proposals, and recommendation reports. Emphasis is placed on incorporating rhetorical theory into planning, organizing, and writing reports; designing visual aids; and editing. Among other assignments, at least one complete technical report is required.

  
  • TCOM 2030:Research in Technical Communication

    3 Class Hours 0 Laboratory Hours 3 Credit Hours
    Prerequisite: TCOM 2002  , STAT 1107  , and TCOM 2010  
    The course is an introduction to research methods used by practitioners and scholars in technical communication. Students explore the relationship between theory and research and learn how to design and carry out empirical studies using both quantitative and qualitative methods. Emphasis is placed on the research methods used in workplace settings to design user-centered information products and to test their usefulness and usability.

  
  • TCOM 3020:Designing Effective Proposals

    3 Class Hours 0 Laboratory Hours 3 Credit Hours
    Prerequisite: TCOM 2010   and TCOM 2030  
    The course covers the theory and practice of writing proposals for business, industry, and non-profit organizations, with emphasis on in-house planning and external grant-seeking proposals. Course covers persuasion theory and strategies while leading students step-by-step through the proposal development process. Students develop skills in gathering and evaluating information, analyzing audiences, collaborating with peers and clients, building arguments, writing clearly and cogently, and designing visually effective documents.

  
  • TCOM 3030:Instructional Design

    3 Class Hours 0 Laboratory Hours 3 Credit Hours
    Prerequisite: DWMA 3430  
    The course introduces and applies systematic instructional design and instructor-led training. Students study a major model of instructional design and apply it to develop and refine a unit of instruction. Students prepare and deliver a training lesson, participate in team instructional design activities, and evaluate the training developed and presented by other students.

  
  • TCOM 3045:Fundamentals of Information Design

    3 Class Hours 0 Laboratory Hours 3 Credit Hours
    Prerequisite: TCOM 2010  
    The course introduces students to the principles and best practices of effective information design for both print and electronic media. Students apply rhetorical and gestalt principles to an analysis of information products. Students also redesign products to reflect good principles of information design, and they report on the rationale for these redesigns, showing the ways in which design principles have been effectively applied.

  
  • TCOM 3070:User Assistance

    3 Class Hours 0 Laboratory Hours 3 Credit Hours
    Prerequisite: TCOM 2010  
    This course explores the concepts and strategies necessary for designing effective user assistance in its many forms. The course emphasizes effective task-oriented design while introducing important industry trends like topic-based authoring, single sourcing, project planning, structured authoring, and DITA basics.

  
  • TCOM 3130:Technical Communication: Theory, Ethics, and Practice

    3 Class Hours 0 Laboratory Hours 3 Credit Hours
    Prerequisite: TCOM 2002  , TCOM 2010  , and TCOM 2030  
    This course examines a range of theories that have shaped technical communication thought and practice in the twenty-first century. This course also focuses on ethical issues in technical communication through case studies and other readings. The course exposes students to the evolving body of knowledge, including key theorists and practitioners that help form the foundation of the technical communication profession.

  
  • TCOM 3145:Designing Social Media Infrastructure

    3 Class Hours 0 Laboratory Hours 3 Credit Hours
    Prerequisite: TCOM 2030  
    This course prepares technical communicators to assess and develop governance/oversight procedures, policies, employee training, monitoring and measurement protocols, risk and compliance guidelines, and audit processes for social media. Students select a company and conduct a semester-long case study where they develop critical infrastructure documents for social media.

  
  • TCOM 3245:SEO and Analytics for Technical Communicators

    3 Class Hours 0 Laboratory Hours 3 Credit Hours
    Prerequisite: TCOM 2010   and DWMA 3400  
    The course introduces students to the concepts, practices, and implementation of SEO for digital assets (websites, images, files). Working with an existing website, students enhance existing code to leverage SEO and deploy both analytics and webmaster tools to measure and refine SEO tactics and strategies for maximum SERP presence. The course also covers fundamentals of best practices for Section 508 (ADA) compliance with online documents and website coding.

  
  • TCOM 3398:Internship

    3 Class Hours 0 Laboratory Hours 3 Credit Hours
    Prerequisite: Junior standing with a 3.0 or better GPA in upper-division courses in major
    This course is an opportunity for students to apply principles and techniques of technical communication in a specific organization. Learning is experiential and must supplement, not duplicate, learning in the classroom. The student is responsible for finding an internship, but this program helps in the effort. The student submits a written proposal describing the internship according to program guidelines. Each internship is monitored by the student’s advisor.

  
  • TCOM 4000:Technical Editing

    3 Class Hours 0 Laboratory Hours 3 Credit Hours
    Prerequisite: TCOM 2010  
    This course examines the responsibilities of an editor including the methods and skills needed to edit various types of technical and scientific products (print and digital) with an emphasis on comprehensive editing. The course also teaches students how to prepare content that clearly and effectively communicates technical information to a wide range of end users. This course prepares students for writing and editing careers in technical communication.

  
  • TCOM 4045:Multi-Media for Technical Communicators

    3 Class Hours 0 Laboratory Hours 3 Credit Hours
    Prerequisite: TCOM 2010  
    This course is a study of the foundations of multi-media including theory, planning, scripting, storyboarding, and production for technical communicators. Projects in the class include developing multimedia-based process/mechanical descriptions, instructions and interactive graphics for product end users and customers. Students submit research work on the theory of multi-media.

 

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