This is an intensive course on how to conduct in-depth high level academic research devoted to engineering management. The course is designed to prepare students to develop their own research studies, and to understand and incorporate the elements of effective research designs. The course is a blend of research design, data management and methods, and skills development. Topics of the course include: identifying research problem, developing purpose statement and research objectives and questions/hypotheses, conducting deep literature reviews and identifying research gap, setting theoretical foundations of research, mastering types of academic research, setting research design and understanding the main advantages and drawbacks of different research designs, collecting primary and secondary data, data coding and cleaning, experiments, data analysis methods, creating data visuals, managing the research stakeholders, and communicating research outcomes.
0405-723 Decision Making and Analysis 3:3
Topics include basic theory of decision making under uncertainty; rationales of decision makers; the concept of the value of information; the Bayesian approach to decision making; decision trees, elicitation methods for model building, multi-attribute utility models; multi-criteria decision making; use of decision making software.
0405-760 Leadership and Innovation Management 3:3
This course focuses on the classical and modern aspects of organizations and the role of managers as leaders. The main focus of the course is to provide students with knowledge and skills on different approaches to leadership. The course deals with different forms of leaderships in a corporate setting, and their importance in achieving the organization's strategies. The course also focuses on main issues in innovation management. It equips students with tools and techniques for managing innovation. It includes basic terms related to innovation; development of innovation strategy; factors influencing innovation; sources of innovations, managing intellectual property, development of new product and services within a firm; strategic alliances and networks; contemporary issues in innovation management; case studies.
0405-762 Total Quality Management 3:3
This course introduces definitions, history, dimensions, and principles of Total Quality Management (TQM); quality management philosophies and pioneers (Deming, Juran, Crosby, Ishikawa, Taguchi, Feigenbaum); customer satisfaction and customer relationship management; quality awards (Deming, EFQM, Malcolm Baldrige); SPC tools, benchmarking, QFD, and use of software.
0405-712 Engineering Modeling and Optimization 3:3
This course introduces the concepts of optimization by presenting different classes of problems and engineering applications. Topics include the art and science of modeling and solving engineering decision making problems using a variety of frameworks ranging from linear programming, goal programming, integer programming, nonlinear programming, network programming, and heuristic methods. Applications include product and process design, production planning, logistics, sustainable logistics, transportation, and scheduling in both industrial and service systems. Notions of stochastic optimization and sensitivity analysis are also covered to deal with uncertainties and data fluctuations.
0405-724 Engineering Design of Experiments 3:3
Review of basic statistical methods; Introduction to designed experiments; Analysis of variance (ANOVA), model adequacy test, determining sample size, regression approach to ANOVA; Single-factor design, two factor designs; 2k factorial designs; Fractional factorial designs; Introduction to factorial survey experiments; Response surface methodology; Taguchi's methods; Demonstration of the implementation of the methods explained in the course using computer software packages.
0405-763 Advanced Engineering Project Management 3:3
This course includes a review of project management concepts including planning and scheduling; strategic planning for project management; human resources management, managing multiple projects, contemporary issues in project management; case studies.
0405-765 Management of Technology 3:3
This course examines a wide range of topics and issues involved in the management of technology including planning tools and techniques in strategic planning for different technologies, technology capability assessment, technology forecasting; the development environment and infrastructure, R&D management, product development process; technology transfer; licensing, joint venture and other forms of alliances; technology protection; case studies and project.
0405-725 Data Analytics
The course covers the fundamentals and key concepts of artificial intelligence and machine learning techniques. The course presents several supervised and unsupervised machine learning techniques, in addition to techniques used to select and process input features. Students will also learn how to understand the data and visualize it.
0405-731 Logistics and Supply Chain Management
Logistics and supply chains constitute the backbone of production systems and of international trade. They are essential elements in order to understand and analyze production systems in both
manufacturing and service firms. They study the flows of materials, information, and funds from the suppliers, to the manufacturers, distributors, retailers, and customers, and vice versa. This course
covers classical topics of logistics and supply chain management including understanding the supply chain and logistics systems, designing networks, and studying the operations that are necessary to manage supply chains and logistics. Contemporary topics such as digitalization, sustainability, and circular economy in the context of logistics and supply chain management are also covered.
0405-781 Special Topics in Engineering Management 3:3
This course examines advanced and emerging topics in engineering management. The course may be offered to suit the academic need of the student based on the supervisor recommendation and the program coordinator approval.
0405-782 Independent Studies in Engineering Management 3:3
This course helps the student in exploring specific areas of interest or enables him/her to develop in-depth research in a field of interest. The topic should be related to the area of interest in which the student is planning to prepare his/her thesis. The course intends to complete the knowledge of the student while allowing him/her to develop his/her critical thinking and analysis. The registration in this course and its topic should be approved in advance by the student's potential thesis supervisor and the PhD program coordinator.
0405-791 PhD Seminar 1:0
Students are required to attend seminars given by faculty members, visitors, and graduate students. Students must submit reports of the seminars they attended. They are also required to present one seminar on a timely research topic.
0405-709 Qualification (Comprehensive) Examination 0:0
The examination aims to measure the student's ability to understand and demonstrate a general understanding of his/her discipline, show the ability of critical, analytical, and creative thinking and employ them in solving problems and proposing appropriate solutions. It is not another test in the courses studied by the students. This exam consists of both written and oral parts.
Pre-requisites: Completion of all mandatory courses and approval of the program coordinator and dean of graduate studies.
0405-792 PhD Research Proposal 0:6
Students must submit a research proposal topic under the supervision of a faculty member. The proposal should layout the literature survey of related work to the proposed research topic to be undertaken. Methodology and expected results should be presented in the proposal. The proposal should be approved by the supervisor and defended before an examination committee. Recommendation of the committee should be considered in the implementation phase of the thesis. Pre-requisites: 0405-709 Qualification (comprehensive) Examination.
0405-799 PhD Thesis 0:21
Students must undertake and complete and independent industrial-oriented and/or theoretical research under the supervision of a faculty member. Students are required to submit a thesis documenting their research and defend it in an oral examination before a committee. The thesis work must make a significant contribution to knowledge in the field of engineering management and innovation. Students are required to produce at least two refereed journal publications (at least class B) of their work before defending the thesis.
Pre-requisites: 0405-792 Ph.D. Research Proposal and 0475-791 PhD Seminar.