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 MEM 510 - Innovation and   MEM 504 - Quality Engineering   MGT 523 - Strategic   topic, select a thesis advisor,   research problems, evaluate related
 Entrepreneurship   & Management   Management  develop a research proposal, and   Master of   research works, and design a suitable
        successfully defend it. Emphasis is                          research methodology as well as
 Credit Hour:  3  Credit Hour:  3  Credit Hour: 3       placed on critical thinking, problem   Science in   communicate their ideas effectively
 Prerequisite: No prerequisite   Prerequisite: MEM 503    Prerequisite: Last Semester  definition, literature review, and   through different mediums in a
    This course covers basic and   research design. This course lays the   Information   scientifically convincing manner. The
 This course focuses on coverage   advanced quality concepts and   This course covers the determination   foundation for the completion of the   course starts by defining scientific
 of the topics of managing   methods including statistical   of the strategic direction of the   thesis in MPM599.  Technology  research and identifying its essential
 technological innovations for   approaches that are used in Quality   firm and management of strategic   elements, then takes the students
 products and services and creating   Engineering such as SPC, Process   processes in the firm. The course   through a progressive journey
 successful organizations. It aims   Capability, and Experimental Design.   draws on and integrates concepts   MPM 599 - Master’s Thesis in      through the different scientific
 at providing rich exposure to   It also covers process and product   from the functional areas (i.e.   Project Management-2  Core Courses  research phases such as problem
 the students on management   quality tools; quality assurance   finance, accounting, management,   formulation, literature review, and
 of innovation in manufacturing   methods and standards such as   management information systems)   Credit Hour:  3  methodology design. Several class
 and information technologies. It   QFD, ISO9000 and Six-Sigma, quality   in the analysis and resolution of   Prerequisite: MPM 598  activities relevant to weekly topics
 also explains how to become an   planning and control, quality awards,   complex business situations. It   This course is the final phase   ITE 501 - Cloud Computing  are planned to ensure a balance
 entrepreneurial leader by defining   and continuous improvement. The   also discusses the integration   of the master thesis in Project   Credit hours: 3  between theory and practice. In
 and developing opportunities and   project and assignments are key   of environmental factors and   Management. Building on the   Prerequisite: Graduate status   doing so, students will learn methods
 bringing together the resources   components of this course. These   organizational functions in the   proposal developed in MPM598,   for critically reading research
 and capabilities needed to make   include quality systems design and   analysis and solution of management   students are expected to conduct   Cloud computing provides highly   papers, identifying research gaps,
 it happen. Topics covered include:   management, application of effective   problems. This course explains   the research, analyze findings,   elastic scalability in delivery of   selecting interesting research topics,
 disruptive technologies, strategic   design for quality management   the whole process of strategy   and produce a comprehensive   enterprise applications. This course   formulating research questions,
 management of technology, new   standards, quality tools and   formulation, implementation,   thesis. The work should reflect   provides comprehensive knowledge   planning research methodology,
 product development, technological   techniques in real world organization,   evaluation, control, and strategic   creativity, independent thinking,   about cloud computing concepts   and discussing and communicating
 change management, corporate   and ethical issues related to sampling   issues. The course is mainly case-   and the application of scientific and   and capabilities across various   research results in a convincing
 entrepreneurship and innovation,   and quality audit and assurance.  and discussion-oriented. Real   engineering management principles.   Cloud service models including   way. Several research tools are
 diffusion of innovation, and chain of   case studies will be presented and   Successful completion requires a   Infrastructure as a Service (IaaS),   presented to the students such as
 innovation activities.   MEM 506 - Operations Research   active participation in discussions is   written thesis, oral defense, and   Platform as a Service (PaaS) and   LaTeX, Mendeley, and SciVal through
 expected. A project related to one
                                      Software as a Service (SaaS). This
 & Simulation   of the course topics will be assigned   submission of a draft paper for   practical tutorial sessions.
 MEM 508 - Engineering Risk   publication to a Scopus-indexed   course will introduce students to
 Analysis & Management   Credit Hour:  3  to each group of students and   conference or journal.  basic concepts and principles of   ITE 504 - Advanced Big Data
 Prerequisite: No Prerequisite  presented at the end of the course.  cloud computing. The students will   Analytics
 Credit Hour:  3                      learn new programming paradigms   Credit hours: 3
 Prerequisite: MEM 503  This course covers computer   such as Node.js, JavaScript, REST
 simulation concepts and operations   API and benefits and challenges   Prerequisite: Graduate status
 This course introduces risk   research modeling techniques,   Track 2: Research   as well as tradeoffs for using the
 identification, risk analysis, risk   including problem formulation and   cloud services. The course will   The Big Data course focuses
 assessment, strategies to manage   discrete event simulation modeling.  Thesis-based Master   teach students how to utilize the   on managing and processing,
 risk, and applications of risk       cloud services such IBM Cloud and   storing, and modeling massively
 management. Students learn how   It includes the formulation of   of Science in Project   Amazon (AWS). Other topics such as   large, versatile, continuous, and
 to determine the quantitative and/  mathematical models, solutions using   programming models (MapReduce   heterogeneous data retrieved from
 or qualitative value of risk related to   linear programming, sensitivity and   Management  and Hadoop), virtualization, storage,   different sources including, for
 engineering systems and projects.   cost analysis of developing alternative   and distributed file systems will be   instance, sensors, social media, web
 It also presents the basic concepts,   optimum solutions, transportation   covered as well.  applications, ERP systems, mobile
 methods and tools to perform   and network analysis, forecasting   MPM 598 - Master’s Thesis in   applications, transportation systems,
 risk analysis in various project   and stochastic modeling. The course   Project Management-1  ITE 503 - Research Methods and   and others. Acquiring, storing,
 management applications, and   includes case studies related to   Communications  processing, modeling, and visualizing
 engineering and technology-based   the topic and a term project. It also   Credit Hour:  3  Credit hours: 3  this data encompass various
 industries. The focus is on using tools   applies the concepts and principles   Prerequisite: Completion of 15   methods/techniques with many
 and methods of Risk Matrix, Decision   associated with systems modeling   credit that include MEM 503  Prerequisite: Graduate status  challenges to be considered. The
 Trees, Life Cycle Cost Analysis (LCCA),   and simulation using contemporary   The main purpose of the Research   course walks the students through
 FMEA, Fault Tree, Utility Theory, as   simulation software ARENA.  This course is the first phase   Methods and Communications   the Big Data process starting from
 well as an introduction to Bayesian   of the master thesis in Project   Course is to introduce students to   data acquisition, and moving to
 statistical theory. Other risk man-  Management. It focuses on the   the process of scientific research   storage, processing, analytics, and
 agement tools include SWOT analysis   preparation and planning of   and equip them with the necessary   visualization. Throughout the course
 and Participatory Analysis.   the thesis project. Students are   knowledge and tools to formulate   the students will learn the concepts,
 required to identify a research                                     techniques, tools, and frameworks


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