Technology Road Mapping is a needs-driven technology planning process to help identify, select and develop technology alternatives to satisfy identified business concerns and Nile University - Ph.D. Program in MOT 20|28 Mai 2012 needs. “Technology development Road Mapping” (TRM) is a strategic technology planning process for research and development that cooperatively identifies: 1) a particular

Regulations and rules of the Ph. D. dissertation are described above.

The graduate internship is designed to provide doctoral students with more opportunity to test and experiment in industry, research organizations, government agencies, and other appropriate experiential venues associated with technology utilization, transfer, and innovation for the explicit purpose of developing knowledge in the specialization. A personal assessment portfolio will be developed as

The Ph.D. student will do at least two research seminars on advanced topics related to MOT. Topic will be chosen by the student and approved by his supervisor. Topic could be related and/or complementary to her/his dissertation. Seminars will be attended by University faculty, students and external audience.

In this course, students follow in-depth directed study in a given topic or field of their choice under the close supervision of a faculty member. The topic should be of advanced nature, perhaps in emerging technologies or alike. A student may repeat the course for credit provided that the topic or field of choice is different. Repeating the course for credit requires the approval of the program

This course is tailored to expose students to the latest advances in fields that are related to their specialization in management of technology, and/or to focus on a specific area of particular interest to the discipline. Course contents may vary from term to term to address emerging subjects.

The course introduces the concepts of quality and total quality management and their applications. It also covers Quality models, International standards (ISO 9000) series and its applications in industrial field, Statistical Process Control (SPC), and practical applications of total quality management. This course, also, introduces concepts, principles and techniques used in evaluation and

This course introduce the students to the risks that affect the performance objectives across all organizational activities, whether these be strategic, program, project or operational. It gives the students a useful insight of the concepts, processes, and methods of risk management in projects and the inextricably link between value management and risk management. The student will gain the skills

This course investigates a number of contemporary issues in the rapidly changing information technology environment. Considerations of social and ethical issues in information technology. It also investigates in depth a number of topical theoretical issues and practical information technology tools and broadens students' perspective and skills. It includes: The effects of information technology on

Supply Chain Management is a business model necessary for an organization's success and everyone in the organization needs to be involved. This course introduces the concepts of logistics and supply chain management. It discusses the complexity created by ever increasing customer requirements and expectations, globalization, the pressure on cost, and the availability and access to resources. It

This course describes and compares parametric and non parametric statistics. Models of both types are discussed and compared. The course includes: Chi-square distribution, Chisquare goodness-of-fit test for equal & non-equal expected frequencies, contingency table, nominal level of measurement, nonparametric or distribution-free tests, Kruskal-Wallis oneway analysis of variance by ranks, sign test

The course covers the art and science of modeling and simulation in engineering /business and IT. This course blends theory with practice presenting actual applications in manufacturing as well as business and services. The course addresses the classical methodology and techniques with emphasis on discrete systems modeling and simulation. Topics include major aspects of modeling and techniques of

To provide the students with the knowledge of rules, techniques, steps, and alternative methods to select, procure, transfer and acquire a technology. The course explains and discusses the different levels of considerations to select a particular technology from alternatives. It identifies the different routes through which a firm can acquire needed technologies. It provides a framework that helps

This course introduces the basic definitions, aspects of quantification, and how to identify the purpose and principles involved in the experiments. It discusses how to plan the experiment, including defining the problem, stating the hypotheses, and design the experiment in statistical terms. A crucial part of the work is how to plan the experiment in statistical term. The course includes: full

The course chronicles the value that innovative organizations find in better managing the flow and re-use of their knowledge, and effective practices to enhance knowledge, create and re-use for innovation. It discusses how, by managing knowledge, organizations can succeed in innovations and new product development. It addresses structural and cultural barriers to knowledge management (KM) to

The course is intended to provide students with the latest advances in concepts and principles of finance, investments and economics. Investments will be examined as opportunities that need to be scientifically evaluated. Finance will be treated as a way of raising funds to finance investment opportunities. The economics environment and its impact on the investments valuation and financing will be