List of Courses
EM 502 – Data Analytics for Decision Support Systems (3-0-3)
Description: A wide range of data analytics techniques that serve as the foundation for applications, including inferential, predictive, and prescriptive analytics; elements of statistical modeling; model interpretation and assessment; structured and unstructured data analysis; data preparation, model development, evaluation, validation, selection, and deployment.
Type: Required
Prerequisite(s): Graduate Standing
EM 510 – Advanced Engineering Economics (3-0-3)
Description: Monetary interest computations principles and methods, effect of inflation, depreciation and taxes, cost accounting and estimation, capital budgeting, financial statement analysis, advanced asset replacement analysis, value management, ESG (Environmental, Social, and Governance) factors, and the use of spreadsheets with real-life case studies.
Type: Required
Prerequisite(s): Graduate Standing
EM 515 – Quality Management (3-0-3)
Description: Quality management principles, quality assurance and control, quality improvement tools, reliability in design and production, product and process optimization, Taguchi approach, Six Sigma methods, building and sustaining quality organizations, and computer applications through case studies.
Type: Required
Prerequisite(s): Graduate Standing
EM 520 – Quantitative Methods in Engineering Management (3-0-3)
Description: Linear programming, transportation and assignment models, integer programming, multi-objective optimization, queuing theory, simulation, Markov chains, heuristic algorithms, and AI applications. Computer applications for solving optimization in real-life studies.
Type: Required
Prerequisite(s): Graduate Standing
EM 530 – Decision Analysis (3-0-3)
Description: Theory and practice of decision analysis and risk assessment, including decision theory, game theory, utility and risk attitude, probability assessment, multi-criteria decision making, value of information, decision trees, influence diagrams, and building decision support systems. Includes computer applications and case studies.
Type: Required
Prerequisite(s): Graduate Standing
EM 550 – Engineering Project Management (3-0-3)
Description: Project management framework, strategic management and project selection, project organization, scope, time, cost and risk management, contracts and procurement, agile principles, project termination, project management office, and developments in PMI, PRINCE2, and ISO 21500. Uses case studies to clarify principles and tools.
Type: Required
Prerequisite(s): Graduate Standing
EM 551 – Project Leadership and Communications Management (3-0-3)
Description: Effective leadership, stakeholder identification, problem communication, conflict resolution, emotional intelligence, forming/managing teams, business practice law, corporate sustainability, and governance.
Type: Required
Prerequisite(s): Graduate Standing
EM 554 – Agile Project Management (3-0-3)
Description: Principles, processes, and practices of agile project management; frameworks such as SCRUM, Kanban, ScrumBan, and SAFe. Emphasis on agile tools and techniques.
Type: Elective
Prerequisite(s): EM 550
EM 560 – Manufacturing System and Supply Chain Design (3-0-3)
Description: Manufacturing planning and control systems, JIT, MRP/MRP II, ERP, supply chain logistics, demand and inventory management, optimized production technology, lean, agile, and Industry 4.0 manufacturing.
Type: Elective
Prerequisite(s): Graduate Standing
EM 565 – Quality Engineering in Process Industries (3-0-3)
Description: Quality improvement tools, engineering process modelling and control, Response surface methodology in process optimization, Robust engineering parameter design, Quality value and engineering, On-line quality control, On-line process parameter control, Quality applications in process industries including process and product synthesis/design and optimization, Computer applications.
Type: Elective
Prerequisite(s): Graduate Standing
EM 569 – Project analytics and computer applications (3-0-3)
Description: Data analytics techniques in project management, projects data preparation, model development, evaluation, validation, , the critical phases of projects analytics including approaches around estimation, scoping, planning, data cleaning, data migration, data quality, and risk mitigation. The role of project application software to: plan project tasks, schedule activities timelines, and monitor schedule performance, depicts work break down structure, budget and costs control. Computer applications.
Type: Elective
Prerequisite(s): Graduate Standing
EM 570 –Reliability and Maintenance Analysis (3-0-3)
Description: Maintenance strategy and concepts, maintenance forecasting and capacity planning, the effect of different maintenance strategies such as scheduled maintenance, preventive maintenance, Reliability centered maintenance (RCM), and RBI, the maintainability measures and system availability indicators, Total Productive Maintenance (TPM), reliability improvement tools: fault trees, failure mode and effect analysis and root cause analysis, a fundamental understating of the component failure behavior, reliability prediction based on failure data analysis, conditional based maintenance, and cost avoidance.
Type: Elective
Prerequisite(s): Graduate Standing
EM 572 –Process Safety and loss prevention Engineering (3-0-3)
Description: Principles of safety engineering applied to industrial situations, Job safety analysis, reduction of accident rates, protective equipment, safety rules and regulations, environmental hazards, health hazards, and ergonomic hazards, Major process hazards, Hazard identification, assessment and prevention, Personal safety in industrial environment, and Fire explosion and toxic release.
Type: Elective
Prerequisite(s): Graduate Standing
EM 578 –Greenhouse Gas Emissions Management (3-0-3)
Description: Fundamental concepts related to weather, climate, climate variability, climate change, and greenhouse gas (GHG) emissions, identification of sources and sinks of GHG emissions for different sectors (i.e., energy, industrial processes and product use, waste, land-use change, and agriculture), emission estimation, measurement, reporting, and verification (MRV), different approaches assessment and standards (i.e., IPCC, ISO, WRI, WBCSD) for GHG emission estimation for countries and organizations, and various climate change mitigation approaches and initiatives, and preparation of appropriate climate change mitigation plan.
Type: Elective
Prerequisite(s): Graduate Standing
EM 585 –Simulation for Operations Analysis (3-0-3)
Description: Principles for simulation and system modelling, basic concepts for data collection and analysis, simulation in production systems and manufacturing practice, impact of modelling accuracy: Validation and verification, analysis of different scenarios, and communication of simulation results.
Type: Elective
Prerequisite(s): Graduate Standing
EM 599 –Research Seminar (3-0-3)
Description: This course is designed to give the student an overview of research in the engineering management specialty and in the department, familiarity with the research methodology, journals and professional societies in the discipline
Type: Required
Prerequisite(s): Graduate Standing
EM 600 – Master of Engineering Report (0-0-6)
Description: Research study that deals with analysis and/or design of significant problem or case study related to the field of Engineering Management prepared under the supervision of an Engineering Management faculty. The project report should follow formal report format including introduction, literature review, research methodology, collection and analysis of data, conclusions and recommendations, list of references and appendices of important information.