Not open to students with credit in IMSE 315.
Description: Introduction to the principles of ergonomics. Information processing, human output and control, workplace design and environmental conditions.
Prerequisites: MECH 321
Description: Analysis of safety performance, attribution of cost, identification and analysis of accident potential. Fault Tree analysis. Systems safety and reliability.
Prerequisites: Senior standing.
Description: Introduction to occupational hygiene engineering with emphasis on workplace environmental quality. Heat, illumination, noise, and ventilation.
Description: System and component reliability analyses of series, parallel and complex systems. Concepts of reliability, availability, and maintainability in design of systems. Methods of reliability testing and estimation.
Description: The purposes and contexts of engineering education will be illuminated through readings and discussions of its historical roots, current expressions, and future directions. Discussions will delve into the history and trajectory of engineering education and concerns that are uniquely engineering (e.g., engineering design, diversity and inclusion, and teaming).
Prerequisites: MECH 321
Description: Systematic analysis of processes through the use of statistical analysis, methods, and procedures; statistical process control, sampling, regression, ANOVA, quality control, and design of experiments. Use of software for performing a statistical analysis.
Description: Fundamentals of stochastic processes and their application in modeling production/inventory control, maintenance and manufacturing systems. Markov and semi-Markov chains, Poisson processes, renewal processes, regenerative processes and Markov decision processes.
Description: The problem of scheduling several tasks over time, including measure of performance, single-machine sequencing, flow shop scheduling, the job shop problem and priority dispatching.
Description: This learning experience is designed to provide graduate level training on teaching at the postsecondary level. Evidence-based teaching methods applicable to Science, Technology, Engineering ,and Mathematics (STEM) will be investigated and a learner-based pedagogy will be used to engage those in the course to experience STEM practices. The common element of problem solving is emphasized across all STEM disciplines allowing for discovery, exploration, and application of critical thinking skills. Primary tasks include developing a unit on Canvas that includes learning outcomes, lecture and activities, and assessments, a teaching philosophy, and engaging with technologies that support and enhance teaching and learning.
Description: Introduction to the basic types of research study designs (quantitative, qualitative, and mixed methods) through examples in STEM education. Learn to identify an educational problem in STEM education, pose a research question, and support the need for a study through literature review. Become familiar with how theories of learning and thinking are used to predict or explain research findings. Become familiar with the protection of human subjects and gain certification for human subjects research.
Description: Fundamentals of how radio frequency identification (RFID) components of tag, transponder, and antennae are utilized to create RFID systems. Best practices for implementation of RFID systems in common supply chain operations.
Description: Development of technology as a trigger of change upon humankind, from the earliest tools of Homo Habilis to the advent of the radio telescope in exploring the creation of the universe. Traces the paths from early science to development of the sciences and technologies that will dominate the new millennium.
Description: Concepts of the economic and service trade-offs in supply chain and logistics management. Using decision support system (DSS) to design optimal logistics network model with given requirements and operational parameters using leading software packages to model problems arising in strategic management of logistics networks.
Prerequisites: MECH 321 and IMSE 328.
Description: Theory, practice and application of inventory, demand and supply planning techniques in multistage environments. Managing economies of scale, uncertainties, capacity constraints, and product availability in a supply chain. Integrated planning, supply chain coordination and technology enablers.
Description: The process of planning, implementing and controlling the efficient, effective flow and storage of goods, services and related information from the point of origin to the point of consumption. Domestic transportation systems, distribution centers and warehousing, international logistics, logistics system controls, and reengineering logistics systems.
Description: Subject matter in emerging areas of engineering and closely related areas which are not covered in other courses in the College of Engineering graduate programs. Topics, activities, and delivery methods vary.
Description: Apply theory learned in the classroom and experience hands-on applications through employment in industry. Gain practical application experience of engineering disciplines.
Description: Independent research work and written findings, other than thesis or dissertation work, in a selected area of engineering under the supervision and guidance of a College of Engineering faculty member.
Prerequisites: Admission to masters degree program and permission of major adviser
Description: Masters Thesis
Prerequisites: IMSE 806.
Description: Applications of principle and financial economics in industrial and systems engineering. Term structure of interest, capital asset pricing and other capital allocation models. Evaluation of real-options using binomial lattice, Black-Scholes and other pricing models.
Prerequisites: Admission to master's degree program and permission of major adviser
Description: Advanced independent research work and written findings, other than thesis or dissertation work, in a selected area of engineering under the supervision and guidance of a College of Engineering faculty member.
Prerequisites: Admission to doctoral degree program and permission of supervisory committee chair
Description: Doctoral Dissertation