Engineering Management (EMGT)

EMGT 7199. Dissertation.

This course supports the completion of original, independent research in engineering management under the direct supervision of the student’s PhD research advisor. Students engage in the development, execution, and documentation of doctoral-level research that contributes new knowledge to the engineering management discipline. Continuous enrollment during long semesters ensures sustained scholarly progress, faculty mentorship, and academic oversight throughout the dissertation research and writing process. This course is a required component of the PhD program in Engineering Management.

EMGT 7299. Dissertation.

This course supports the completion of original, independent research in engineering management under the direct supervision of the student’s PhD research advisor. Students engage in the development, execution, and documentation of doctoral-level research that contributes new knowledge to the engineering management discipline. Continuous enrollment during long semesters ensures sustained scholarly progress, faculty mentorship, and academic oversight throughout the dissertation research and writing process. This course is a required component of the PhD program in Engineering Management.

EMGT 7300. Research Methods.

This course examines the research enterprise within engineering management, focusing on the methodologies and procedures used to conduct systematic scholarly inquiry. Students analyze research problem formulation, literature review strategies, and the identification of research gaps relevant to engineering systems, organizations, and decision processes. The course evaluates qualitative and quantitative research designs, data collection methods, data management practices, and statistical techniques for analysis and interpretation. Additional topics include technical writing, proposal development, presentation of research findings, and publication processes. Emphasis is placed on methodological rigor, transparency, and reproducibility. Students evaluate research approaches and apply appropriate methods to support independent scholarly investigation.

EMGT 7310. Risk Management and Resiliency Analysis.

This course examines risk management and resiliency analysis concepts used to identify, assess, and mitigate uncertainty in organizational and operational systems. The course scope includes risk identification and classification, quantitative and qualitative risk analysis, risk response strategies, monitoring and control, enterprise risk management, and organizational resilience across project and supply chain contexts. Instruction applies probabilistic modeling, data-driven analysis, and structured risk frameworks to examine risk scenarios and resilience strategies. The course emphasizes analytical capabilities for examining complex risk environments and applying structured frameworks to support informed decision making.

EMGT 7315. Industrial Sustainability and Circular Economy.

This course examines industrial sustainability and circular economy principles used to analyze and redesign industrial systems for long-term resource efficiency and value creation. The scope includes circular economy frameworks, sustainable product and system design, reuse, repair, remanufacturing, recycling, and systems thinking across manufacturing and industrial sectors. Instruction applies analytical models, performance metrics, and case-based evaluation to assess technological, economic, and policy implications of circular transitions. Emphasis will be placed on analytical approaches for evaluating sustainability challenges and applying circular strategies within industrial and organizational contexts.

EMGT 7320. Engineering Data Analytics.

This course examines engineering data analytics methods used to support evidence-based decision making and problem solving in engineering management contexts. The scope includes data preprocessing and cleaning, exploratory data analysis, descriptive statistics, probability modeling, statistical inference, predictive analytics, forecasting, and introductory supervised and unsupervised machine learning techniques. Instruction applies statistical reasoning, analytical models, and real-world datasets to examine engineering systems and processes. Emphasis will be placed on analytical approaches for interpreting uncertainty, evaluating system performance, and supporting data-driven engineering decisions and optimization efforts.

EMGT 7325. Decision Making Under Uncertainty.

This course examines decision-making frameworks and analytical methods used to address uncertainty in engineering and managerial contexts. The scope includes sources and types of uncertainty, probability modeling, decision trees, utility theory, uncertainty propagation, sensitivity and robustness analysis, reliability analysis, and optimization under uncertainty. Instruction applies quantitative decision analysis models, probabilistic reasoning, and computational techniques to analyze uncertain systems and decision alternatives. Emphasis will be placed on structured analytical approaches for interpreting uncertainty, assessing tradeoffs, and supporting defensible decision making in engineering projects and organizational environments.

EMGT 7399. Dissertation.

This course supports the completion of original, independent research in engineering management under the direct supervision of the student’s PhD research advisor. Students engage in the development, execution, and documentation of doctoral-level research that contributes new knowledge to the engineering management discipline. Continuous enrollment during long semesters ensures sustained scholarly progress, faculty mentorship, and academic oversight throughout the dissertation research and writing process. This course is a required component of the PhD program in Engineering Management.

EMGT 7599. Dissertation.

This course supports the completion of original, independent research in engineering management under the direct supervision of the student’s PhD research advisor. Students engage in the development, execution, and documentation of doctoral-level research that contributes new knowledge to the engineering management discipline. Continuous enrollment during long semesters ensures sustained scholarly progress, faculty mentorship, and academic oversight throughout the dissertation research and writing process. This course is a required component of the PhD program in Engineering Management.

EMGT 7699. Dissertation.

This course supports the completion of original, independent research in engineering management under the direct supervision of the student’s PhD research advisor. Students engage in the development, execution, and documentation of doctoral-level research that contributes new knowledge to the engineering management discipline. Continuous enrollment during long semesters ensures sustained scholarly progress, faculty mentorship, and academic oversight throughout the dissertation research and writing process. This course is a required component of the PhD program in Engineering Management.

EMGT 7999. Dissertation.

This course supports the completion of original, independent research in engineering management under the direct supervision of the student’s PhD research advisor. Students engage in the development, execution, and documentation of doctoral-level research that contributes new knowledge to the engineering management discipline. Continuous enrollment during long semesters ensures sustained scholarly progress, faculty mentorship, and academic oversight throughout the dissertation research and writing process. This course is a required component of the PhD program in Engineering Management.