Ph.D. Management of Technology

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 industry's common product and process performance targets, 2) the technology alternatives and milestones for meeting these targets and 3) a common technology path for research and development activities. This course discusses the applications and benefits of TRM and how to identify alternate technology paths for meeting defined performance objectives.

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 part of the internship experience. The internship experience is to provide an opportunity for the doctoral student to test relevant theories linking the university experience to a process of technological transfer and/or development. The internship shall be tailored to be supportive of the major area of specialization.

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 director.

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 assessment of reliability, maintainability and serviceability in industrial systems. Emphasis is given to theory and techniques to determine time-to-failure, failure rate, reliability and availability of components/systems, including strength-stress analysis, construction of reliability bath-tube curves (RBTC), failure mode and strength-stress analysis (FMEA), fault tree analysis (FTA).

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 of putting in place effective framework for taking informed decisions about risks. It provides a rout map for risk management, bringing together principles, approaches, and processes. It provides the necessary tools to apply risk management in projects.

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 society, organizations, communities and individuals, Ethical behavior of information technology professionals, Contemporary theoretical issues. Examples include the digital divide, biotechnology, optical and quantum computing, computer human interfaces and the limitations of computing, as well as Contemporary information technology tools and techniques.

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 explains how successful supply chain management requires cross-functional integration within the firm and across the network of firms that comprise the supply chain. It focuses on the improvements in performance that result from better management of key relationships.

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, Spearman’s coefficient of rank correlation, Wilcoxon matched-pair signed-rank test, and Wilcoxon rank-sum 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 simulation, planning data collection and analysis, model building model verification and validation, output analysis and experimental design. It also covers simulation optimization techniques, model verification and validation. Analysis of queues, arrival and service patterns, random number generation, and simulation programming techniques will be discussed.

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 in making key decisions about technology acquisition. Different forms of technology and its embodiment (e.g. patents, know-how, equipment,…) will be dealt with in addition to their markets, pricing, their negotiation particularities, contracting procedures, and implementation.

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 and fractional factorial design, hypotheses testing (t-test and F-tests), single factor experiments and ANOVA, residual analysis and normal probability plots, analyzing designs and transforms, response surface designs, hill climbing strategies, and mixture designs.

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 technical and research settings. It focuses on how leaders can overcome barriers by supporting the adoption of new behaviors and promote collaboration and knowledge sharing among their employees.

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 treated in detail. The course provides an Nile University - Ph.D. Program in MOT 21|28 Mai 2012 opportunity for participants to use tools such as spreadsheets in a financial and economic modeling.

This course is concerned with answering the question: "What industries/businesses should we participate in?" Drawing from relevant conceptual frameworks and real-life cases, this course initiates students to the latest methodologies for developing corporate strategies meant to improve the firm’s local and international competitiveness. Students will be exposed to analytical techniques for diagnosing the competitive position of a business and assessing alternative strategic directions. Topics include strategy development processes, strategic position analysis, strategic visioning, choosing a strategic direction, reasons for diversification, vertical moves, and portfolio matrices.

This course emphasizes the importance of making business decisions in the light of moral principles and corporate social responsibility. It aims to introduce and familiarize students with the different ethical issues facing today businesses in order to help them develop appropriate organizational responses to such issues. The course examines frequent conflicts that may arise in conducting business activities such as employee rights, customer rights and how to deal with competition. Topics covered include free market and regulation, corporate strategy and stockholder relations, product testing and safety measures, racial and gender discrimination, etc.

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 treated in detail. The course provides an Nile University - Ph.D. Program in MOT 21|28 Mai 2012 opportunity for participants to use tools such as spreadsheets in a financial and economic modeling.

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 and fractional factorial design, hypotheses testing (t-test and F-tests), single factor experiments and ANOVA, residual analysis and normal probability plots, analyzing designs and transforms, response surface designs, hill climbing strategies, and mixture designs.

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 technical and research settings. It focuses on how leaders can overcome barriers by supporting the adoption of new behaviors and promote collaboration and knowledge sharing among their employees.

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 in making key decisions about technology acquisition. Different forms of technology and its embodiment (e.g. patents, know-how, equipment,…) will be dealt with in addition to their markets, pricing, their negotiation particularities, contracting procedures, and implementation.

This course discusses emerging technologies, their evolvement, the effect of international, political, social, economic and cultural factors. Topics covered in the course include accuracy in forecasting of past technologies, how to improve them, international perspective on emerging technologies, future customer trends and forecasting methodologies. Emerging technologies will be examined through students’ company examples, invited speakers and videos. The management process with the rapid change in technology, customer demands, industrial advancing processes, socio-economic aspects, and environmental considerations will be discussed.

In the first part, the course includes: Experimental design, statistical estimation and hypothesis testing from multivariate distribution. Topics covered will include: regression models, multivariate analysis of variance, canonical correlations, classification procedures and factor analysis. Computer applications of these techniques will be examined. In the second part, the course covers an introduction to the probabilistic and statistical concepts used in the day- to-day decisions of the probabilistic (stochastic) models that are frequently used in managerial decision making in problems that include uncertainties.

The course aims at enhancing academic writing skills pertinent to proposal and dissertation writing. The course builds on the Research Methods & Advanced Statistics course offered. The course moves through the different sections of writing a proposal/dissertation with a special focus on the language used for scientific and academic contexts. Using experiential learning as a main methodology, the course assessments will be related to students’ proposals that will be submitted to the MOT, thus the application will be directly related to their research

Pre-requisites: 

MOT 612 & 614, Research Methods and Statistics, or consent of the instructor. Regulations and rules of the Ph. D. dissertation are described above.

Pre-requisites:  Consent of instructor

The graduate internship is designed to provide doctoral students with more opportunities 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 part of the internship experience.

The internship experience is to provide an opportunity for the doctoral student to test relevant theories linking the university experience to a process of technology transfer and/or development. The internship shall be tailored to be supportive of the major area of specialization.

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

In this course, students follow an in-depth directed study in a given topic or field of their choice under the close supervision of a faculty member.  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 director.

This course is tailored to introduce students to the latest advances in fields that are related to their specialization in the 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 focuses on integrating the organizational mission and strategy with the development of strategic marketing plans. It discusses how to deal with issues such as product creation, price, positioning, and communication that arise in developing markets. It evaluates the different variables affecting marketing plans from a managerial perspective. Students develop analytical skills, acquire a strategic perspective of marketing, and learn to comprehend it as an integral part of the overall strategy regarding emerging markets. Theoretical analysis will pinpoint relevant variables and their interaction when apply the analytical tools to real-world events and problems.

This course aims to equip students with the necessary knowledge and skills to manage technology portfolios in different types of organizations. It includes an overview of the role of techniques used for technology assessment and describes different ways to evaluate the contribution of each technology to corporate competitiveness. The course explores the factors involved in establishing and governing different types of R&D collaborations. The course introduces the management of intellectual property through intellectual property rights. Exemplary topics include invention harvesting or extracting; invention records and disclosures; inventorship and ownership issues; laboratory notebook practice; patent searching; and the different aspects and managements of IP.

The course covers the domains of the entrepreneurial ecosystem: Regulation, Finance, Culture, Talent, Support systems, and Markets, with an emphasis on the Egyptian ecosystem, identifying key ecosystem players, challenges, and opportunities. The course delves into topics of entrepreneurial finance, venture capital systems, incubator and accelerator management, and R&D support systems. The course utilizes different case studies of successful entrepreneurial ecosystem support projects from around the world, as well as from Egypt, in addition to featuring guest speakers from Egypt and abroad.

This course will introduce you to more complex study designs and higher-level critical appraisal. Several research methods will be explored in depth with consideration of both quantitative, qualitative, and mixed methods designs. The course will equip the students with the ability to evaluate the utility of different research designs to address specific research questions. Students develop the skills to recognize and reflect on the strengths and limitations of different research methodologies, understand the links between theory and practice, critically assess research, and address ethical and practical issues. Students will learn about Epistemology and the theory behind and application of those research methods. 

This is a fundamental course on planning experiments and data analysis. The goal of the course is to teach students how to efficiently and successfully organize, develop, and carry out experiments as well as how to analyze the collected data and draw valid conclusions. Issues related to design and statistical analysis are covered.

While sound economic policies, stable legal, and political institutions, as well as improving social conditions, create the potential for competitiveness, wealth is created at the microeconomic level. This course explores the determinants of competitiveness and successful economic development viewed from a bottom-up, microeconomic perspective. It covers the patterns of supply and demand and the determination of output and prices. This includes the production possibility frontier, the elasticity of supply and demand, labor markets and minimum wage, indifference curves, costs, scale and timing, factors of production, and types of market competition.

Technology Road Mapping is a needs-driven technology planning process to help identify, select, and develop technology alternatives to satisfy identified business and social concerns and needs. “Technology development Road Mapping” (TRM) is a strategic technology planning process for research and development that cooperatively identifies: 1) a particular industry's common product and process performance targets, 2) the technology alternatives and milestones for meeting these targets, and 3) a common technology path for research and development activities. This course discusses the applications and benefits of TRM and how to identify alternate technology paths for meeting defined performance objectives. It provides the students with the knowledge of rules, techniques, steps, and alternative methods to select, procure, transfer, and acquire technology. The course explains and discusses the different levels of consideration in selecting technology from alternatives. It identifies the different routes through which a firm can acquire needed technologies.  It provides a framework that helps in making key decisions about technology acquisition. Different forms of technology and its embodiment (e.g., patents, know-how, equipment…) are dealt with in addition to their markets, pricing, negotiation particularities, contracting procedures, and implementation.  

This course discusses emerging technologies, their evolvement, and the effect of international, political, social, economic, and cultural factors. Topics covered in the course include accuracy in the forecasting of past technologies, how to improve them, international perspective on emerging technologies, future customer trends, and forecasting methodologies. Emerging technologies will be examined through students’ company examples, invited speakers, and videos.  The management processes are discussed considering the rapid changes in technology, customer demands, industrial advancing processes, socio-economic aspects, and environmental considerations will be discussed.