Duration                          :  02 Years Degree Program
No of Courses                 : 9 Courses + 1 Thesis of 6 Chrs
Credit Hours                    :  33 Credit Hours
Eligibility                       Baccalaureate degree in the Mechanical/Computer/Electronics/Telecom/Electrical Engineering/Sciences/Business or in a related field. (Students who do not have relevant background will be required to take deficiency courses). The deficiency courses will be decided on case to case basis.

Code Name Chrs
EM601 Economics and Financial Studies for Engineers 3
EM602 Engineering Management Science. 3
EM603 Advanced Quality Control Techniques 3
Code Name Chrs Prereq
EM606 Reliability Engineering 3 EM603
EM611 Technical Project Management 3 EM601
EM6xx Elective-1 (System Optimization) 3 EM602
Code Name Chrs Prereq
EM621 Decision and Risk Analysis in Engineering 3 EM606
EM6xx Elective-2 (Engineering Systems Modeling) 3 EM602
EM6xx Elective-3 (Requirements Engineering) 3 EM606
Code Name Chrs
EM699 Thesis 6
List of core courses, students are required to complete all core courses.
EM601            Economics and Financial Studies for Engineers.
An essential prerequisite of successful engineering application is economic feasibility. This course presents analysis useful in evaluating the economic feasibility of systems, products, and services. The objective understands the significance of economic aspects of engineering and becoming proficient in evaluating engineering proposals in terms of worth and cost. This skill is crucial since the economic feasibility of projects becomes a prime consideration of any project.
EM602            Engineering Management Science.
Management science, alternatively known as operations research, is an interdisciplinary branch of mathematics which uses mathematical, analytical and statistical methods to improve decision making. In this course these methods will be examined with respect to improving decisions in engineering and engineering management.
EM603            Advanced Quality Control Techniques.
This course presents a comprehensive understanding of advanced statistical quality control tools to improve products, processes and services. Topics covered include use of Binomial. Poisson and Exponential distributions, Advanced Control Charts, Binary and Ordinal Logistic regression to establish the relationship between dependent and independent variables and the theory and application of basic and advanced design of experiments to identify optimal parameter settings for improved quality and productivity.
EM606            Reliability Engineering.
Mathematical definition of concepts in reliability engineering; methods of system reliability calculation; reliability modeling, estimation, and acceptance testing procedures.
EM611            Technical Project Management.
Organization, scheduling, resourcing  and optimization. as well as the role of the computer in project management. Course topics include Management by Objectives, PMI Model, Project Planning, Organizing, Directing, and Controlling. PLEASE NOTE: Students may take either Software Project Management or Technical Project Management.
EM621            Decision and Risk Analysis in Engineering.
This course examines the analytic techniques for decision making under uncertainty within the context of engineering and technology systems. It focuses on understanding and improving the decision making of individuals and groups in technical organizations with emphasis on the application of evaluations methods; conflicting objectives, and risk analysis.
List of Elective Courses: Students are required to cover three electives courses from the below list.
EM641            Systems Optimization.
The theory and practice of linear programming are developed in the context of a broad range of practical applications including the determination of the optimum mix of products, levels of staffing, blending, network analysis, and multi-period planning. Students are taught to formulate problems for computer solution and to interpret the output and assess its sensitivity to the problem constraints. Both continuous and integer valued decision variables are considered.
EM643            Engineering Systems Modeling. 
The goal of this course is to develop understanding of the various modeling paradigms appropriate for conducting computer simulation of engineered of systems and heir operational environment. The techniques and concepts discussed include concept graphs, Bayesian nets, Markov models, Petri nets, system dynamics, Bond graphs, cellular automata, L systems, and parallel and distributed simulation systems. Students will learn to use various toolboxes in Matlab extensively to simulate systems.  Students will also report on a particular technique and team to implement a chosen system model.
EM645            Requirements Engineering.
This course is a thorough treatment of the theoretical and practical aspects of discovering, analyzing, modeling, validating, testing and writing requirements for systems of all kind, with an intentional focus on software-intensive systems. The course will bring to play a variety of formal methods, social models, and modern requirements writing tools (e.g. the UML) to be useful to the practicing engineer.

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