CLASSES
EGR 3410 & 3420 (Statistical Quality Analysis I & II) - Probability theory, distribution functions, discrete and normal distributions, sampling, statistical tests, analysis of variance, and regression analysis. Applications in quality include: problem solving tools, variable and attribute control charts, cost of quality, sampling systems, reliability, and factorial experiments.
EGR 3430 (Applied Probability and Statistics) - Probability theory, distribution functions, acceptance sampling, normal distribution, chi square distribution, statistical tests, analysis of variance, regression analysis.
IME 2110 (Quality Control I) - An introduction to the quality concepts, procedures, and documentation needed to establish an effective quality system. Specific tools include pareto diagrams, cause and effect diagrams, check sheets, histograms, scatter diagrams, run charts, control charts for variables, and process capability.
IME 3110 (Quality Control II) - An introduction to the quality concepts, procedures, and documentation needed to establish an effective quality system. Specific tools include: gage R&R, control charts for attributes, sampling plans, reliability, cost of quality, and an introduction to TQM.
IME 4110 (Total Quality Management) - The examination of various quality control and assurance concepts and their integration into a comprehensive quality management system.
IME 4973 (IME Senior Project I) - The presentation of a creative engineering design solution to a real-world physical problem. The design solution will involve the formal and creative application of mathematics, science, and engineering theory. Students will aim to produce systems that will be safe, robust, cost-effective, and technically sound solutions to the problem.
IME 4974 (IME Senior Project II) - The implementation of the design solution prepared in Senior Project I. The project concludes with a written report and an oral presentation to the engineering faculty.
IME 4990 (Special Topics in IME) - Directed study of a special body of subject matter in the field of industrial and manufacturing engineering.
MA 2025 (Statistical Methods for Business) - This course includes basic statistical terminology, mean, median, and mode. In addition, standard deviation, variance, normal distribution, probabilities (permutations and combinations) are covered. Additional topics include regression analysis, confidence intervals, hypothesis testing, and solving applied problems.
PSY 3780 (Research methods and Statistics) - The principles, methods, and strategies useful in planning, designing, writing, and evaluating research studies in the behavioral sciences are covered. Non-experimental research methods such as naturalistic observation, survey, correlation, field study, program evaluation and experimental research will be studied. Topics to be covered include: background research skills, hypothesis development, research methodology, descriptive statistics, and an introduction to probability. Additional topics include research designs, measurements, hypothesis testing, statistical significance, and the analysis of data. Statistical software packages are utilized.
MBA 5210 (Quantitative Business Analysis) - The application of mathematical and basic statistical methods to decision-making in all organizations. A computer software package will be used as a comprehensive hands-on reference tool to analyze data and to present findings.
MBA 7000 (Business Policy and Strategy) - A review of the applied research for managerial planning decisions and actions that assist in determining the long-run performance of organizations. Emphasis is placed on the process of strategy formulation, implementation, evaluation, and control for organizations of all sizes.
MSE 6050 (Statistical Methods in Quality Assurance) - The quantitative aspects of quality are studied, such as control charts, process capability, reliability, and design of experiments.
MSE 7000 (Advanced Topics in Engineering Management) - Integrates the elements of engineering management in a capstone, project-based environment. Last course of the program.
SE 2990 (Business Process Analysis) - Explores the development process of a business plan and identifies the associated content areas needed for further personal study. Strategy formulation, implementation, evaluation, and control for organizations are emphasized. Key concepts are introduced through lecture, reading assignments, discussion questions, and case study development and analysis. One major project will be assigned, in which students will develop a framework for the components of an original business plan. These assignments will allow the students to do a personal academic gap analysis. This self-discovery process will identify areas of academic need and will be an aid to select subsequent courses of study throughout the program.