A wide range of data analytics techniques that serve as the foundation for a broad range of applications, including inferential, predictive, and prescriptive analytics, the elements of statistical modeling; model interpretation and assessment; and structured and unstructured data analysis, the critical phases of analytics including data preparation, model development, evaluation, validation, selection, and deployment.

Monetary interest computations principles and methods, the effect of inflation, depreciation and taxes, cost accounting and estimation, capital budgeting, evaluating the performance of public mutual funds, financial statement analysis, advanced asset replacement analysis, value management, and Environmental, Social, and Governance (ESG) factors analysis, and the use of computers spreadsheets through periodic assignments and real life case studies.

Quality management principles, quality assurance and control, quality improvement tools, reliability in design and production, quality engineering tool, which include product and process optimization in engineering, Taguchi approach, Six Sigma methods, and exploration of methods of building and sustaining quality organizations, and Computer applications and programing through real life case studies.

Linear Programming, Transportation and assignment models, Integer Programming, Multi-objective optimization, Queuing Theory, Event based Simulation, Markov chains, Heuristic algorithms, and Artificial Intelligence Applications. Computer applications for solving optimization in real life studies.

Theory and practice of decision analysis and risk assessment. Covers decision theory, game theory, utility and risk attitude, probability assessment, multi-criterion decision making models, Value of information in decision making, decision trees and influence diagrams, building decision support systems, and model-driven decision making, tradeoffs and decision making under uncertainty and risk. Describes practical applications through real-world engineering /project management decision analysis applications. Computer applications.

Pre-Requisites: CRP505 Or OM502

Environmental Ecosystems; Marine Ecosystem; Deforestation and land erosion; Mangrove; Coral reefs and fisheries; The environmental issues facing our planet: climate change, water scarcity, toxicity, urbanization, health and seawater pollution (plastics and airborne particles), Natural hazards; Remote sensing for environmental sustainability, the methodologies to measure the scope and magnitude of human impact on environmental systems in both time and space; and basic skills in evaluating the viability of future sustainable strategies; Sustainable design; Relevant Case Studies from environment and marine life.

Project management framework, strategic management and project selection, project organization, human aspects of project management, conflicts and negotiations, scope management, time management, cost management, risk management, contracts and procurement, project termination, project agile principle, the project management office, and modern developments in project management, including: PMI, PRINCE 2, and ISO 21500. Integrates and clarifies the principles and tools through case studies from a variety of disciplines.

Effective leadership, stakeholders’ identification, effective problem communication, meet stakeholders needs, identify and apply conflict resolution techniques, Emotional Intelligence, communicate project objective, and forming, managing various types of teams, business practice law, corporate sustainability and governance.

A comprehensive overview of the principles, processes, and practices of agile project management. Knowledge of agile development frameworks and agile tools and techniques, key concepts related to agile project management as for SCRUM, Kanban, ScrumBan, SAFe.

Pre-Requisites: EM550

Manufacturing planning and control systems, Just in Time (JIT), Advanced JIT (JIT-II), Capacity Planning, Production Activity Control, demand and inventory management, vendor management inventory (VMI), bullwhip effect, MRP and MRP II, Distribution Requirement planning, MPC frontiers (MPC system schematic, beyond the schematic, Optimized production technology (OPT), MPC for process industries), ERP manufacturing systems. The manufacturing strategies: Lean, Agile and virtual manufacturing.

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.

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, managing threats and risks responses, assemble project teams, organize resources assignments, communication and share information. Case studies will be demonstrated on examples of project application software e.g.: MS Project or, Primavera (P6) that allows to develop Gantt Charts, Network Diagrams, … etc.

Pre-Requisites: EM550 Or CEM510

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.

This course include the management and improvement of health care systems. The course will orient the students about health care systems components: Queuing theory applications in the Health care, Health care delivery systems, process quality and statistical models, human factors and patient systems, clinical process improvement, process workflow and staff scheduling.

Pre-Requisites: EM520*

Co-Requisites: EM 520

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.

Health and safety planning, project resilience, theories of accident causation and health and safety management systems. Risk management planning, identification, assessing, prioritizing and mitigating risks. Principles related to the ISO 31000, assessment of potential effects on schedule, cost and other performance dimensions using sensitivity analysis, decision tree analysis and simulation techniques, tools and techniques to track, monitor and control projects risks.

Principles of OHSE management and ISO standards for safety and environment. Analysis of the impact of OHSE and ISO on maintenance practice. OHSE management concepts and systems; hazards, risks and risk management in maintenance; risk assessment and control; ISO standards for safety and the environment, environmental impact (risk) assessment; safe design; Ethics in maintenance practice, legislative and organizational context for practice of maintenance; evaluation of maintenance practice.

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.

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.

Advanced topics are selected from the major areas of Engineering Management to provide the student with recent developments.

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

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. Corequisite: EM 599

Pre-Requisites: EM599*

Co-Requisites: EM 599

Apply all project management skills to assess project processes and outcomes throughout the whole project life cycle. The students should show the ability to apply both quantitative and qualitative methodologies with an emphasis on tactical approaches and earned value of money over the assigned project. Students will be required to report their findings in a written report and to present their work. Both the written report and the presentation will be counted towards their grade assessment.