Core courses ( 18 credits)
Item #
Title
Credits
MEM 501Statistics and Data AnalyticsCreditsColleges3.00Review of probability and probability distributions. Data description. Random samples and sampling distributions. Parameter estimation. Tests of hypotheses. Design and analysis of single-factor experiments: the analysis of variance. Design of experiments with several factors. Simple linear regression and correlation. Multiple regression. Nonparametric statistics. Introduction to statistical quality control and reliability engineering.
MEM 503Project & Program Management of Complex SystemsCreditsColleges3.00Covers the elements of project management critical to the success of engineering projects: project management framework, strategic management and project selection, project organization, human aspects of project management, conflicts and negotiations, scope management, time management, cost management, risk management, contracts and procurement, project termination, the project management office, and modern developments in project management.
MEM 504Advanced Engineering Economics & Cost AnalysisCreditsColleges3.00Covers the theory and application of advanced engineering economics principles and methods. Studies the effects of inflation, depreciation and taxes, cost estimation, sensitivity analysis, risk and uncertainty, capital budgeting, multi-attribute decision making, advanced asset replacement analysis and real option analysis.
MEM 505Operations Engineering & ManagementCreditsColleges3.00This course focuses on business processes, procedures, analytic methods and strategies used to transform various inputs into finished goods and services. The main course aim is to familiarize students with the problems and issues confronting operations managers, and provide them language, concepts, insights and tools to deal with these issues in order to gain competitive advantage through operations. Operational issues include designing, acquiring, operating, and maintain the facilities and processes; purchasing new materials; controlling and maintain inventories; and providing the proper labor to produce a good service so that customer expectations are met.
MEM 509Systems Modeling and SimulationCreditsColleges3.00Generating discrete and continuous random variables. Discrete-event simulation. Statistical analysis of simulated data.Variance reduction techniques. Statistical validation techniques. Markov chain and Monte Carlo methods. Experience with a modern discrete-event simulation package (e.g., ARENA, ProModel).
MEM 511Deterministic Management ScienceCreditsColleges3.00Mathematical modeling and the operations research approach for solving engineering decision problems. Formulation and classification of optimization models. The concept of improving search directions. Formulation of linear programs (LPs).The simplex algorithm and alternative approaches for solving LPs. Duality and sensitivity analysis in linear programming. Multi-objective optimization and goal programming. Network flow models. Formulation and solution methods of integer programs. Nonlinear programming. Introduction to metaheuristics. The course emphasizes problem formulation and solution via modern optimization modeling software
Sub-Total Credits
18
Elective Courses (6 credits)
Choose 2 courses (6 CRH), and the student can take any other courses offered by the MEM program after the Department Approval
Item #
Title
Credits
MEM 502Systems Architecture and EngineeringCreditsColleges3.00General introduction to systems engineering using both the classical V-model and the new META approach. Topics include stakeholder analysis, requirements definition, system architecture and concept generation, trade-space exploration and concept selection, design definition and optimization, system integration and interface management, system safety, verification and validation, and commissioning and operations. Discusses the trade-offs between performance, lifecycle cost and system operability. Readings based on systems engineering standards and papers. Students apply the concepts of systems engineering to a cyber-electro-mechanical system, which is subsequently entered into a design competition.
MEM 506Leadership Development for Engineers & System ManagersCreditsColleges3.00This course includes topics such as public speaking, leading diverse and creative teams, dealing with uncertainty and adversity and strategies for having difficult conversations in the workplace. It is a general introduction of engineering leadership at the graduate level.
MEM 508Stochastic Methods for Engineers & Syst ManagersCreditsColleges3.00Stochastic systems analysis applied to engineering problems. Topics include: Markov chains, queuing theory, queuing applications.
MEM 510Decision & Risk Analysis for Eng & Syst ManagersCreditsColleges3.00Covers the theory and practice of analyzing decisions arising in engineering systems. Covers multiple objectives, influence diagrams, decision trees, and sensitivity analysis, and probability assessment, multi-attribute utility and human biases. Describes practical applications through real world systems model building. Uses decision analysis software and spreadsheets to solve real-life problems through case studies.
MEM 507Applied Computation and Data ScienceCreditsColleges3.00Presents fundamentals of computing and programming in an engineering context with an emphasis on data science. Introduces web computing, data structures, and techniques for data analysis. Includes filtering, linear regression, simple machine learning (clustering and classifiers), and visualization. Surveys techniques for ingesting, processing, analyzing, and visualizing big data from a range of fields, including environmental, transportation, supply chain, city data. Basic concepts of data storage and web server-side programming are covered. Students use JavaScript and HTML5 programming language to complete weekly assignments.
MEM 524Artificial IntelligenceCreditsColleges3.00
MEM 527Industrial Internet of Things (IIoT)CreditsColleges3.00
Sub-Total Credits
27
45
Study Plan
Item #
Title
Credits
MEM 501Statistics and Data AnalyticsCreditsColleges3.00Review of probability and probability distributions. Data description. Random samples and sampling distributions. Parameter estimation. Tests of hypotheses. Design and analysis of single-factor experiments: the analysis of variance. Design of experiments with several factors. Simple linear regression and correlation. Multiple regression. Nonparametric statistics. Introduction to statistical quality control and reliability engineering.
MEM 503Project & Program Management of Complex SystemsCreditsColleges3.00Covers the elements of project management critical to the success of engineering projects: project management framework, strategic management and project selection, project organization, human aspects of project management, conflicts and negotiations, scope management, time management, cost management, risk management, contracts and procurement, project termination, the project management office, and modern developments in project management.
MEM 505Operations Engineering & ManagementCreditsColleges3.00This course focuses on business processes, procedures, analytic methods and strategies used to transform various inputs into finished goods and services. The main course aim is to familiarize students with the problems and issues confronting operations managers, and provide them language, concepts, insights and tools to deal with these issues in order to gain competitive advantage through operations. Operational issues include designing, acquiring, operating, and maintain the facilities and processes; purchasing new materials; controlling and maintain inventories; and providing the proper labor to produce a good service so that customer expectations are met.
Sub-Total Credits
9
Item #
Title
Credits
MEM 504Advanced Engineering Economics & Cost AnalysisCreditsColleges3.00Covers the theory and application of advanced engineering economics principles and methods. Studies the effects of inflation, depreciation and taxes, cost estimation, sensitivity analysis, risk and uncertainty, capital budgeting, multi-attribute decision making, advanced asset replacement analysis and real option analysis.
MEM 509Systems Modeling and SimulationCreditsColleges3.00Generating discrete and continuous random variables. Discrete-event simulation. Statistical analysis of simulated data.Variance reduction techniques. Statistical validation techniques. Markov chain and Monte Carlo methods. Experience with a modern discrete-event simulation package (e.g., ARENA, ProModel).
MEM ElectiveCreditsCollegesMEM Elective3CreditsSub-TotalOffOff
Sub-Total Credits
9
Item #
Title
Credits
MEM 511Deterministic Management ScienceCreditsColleges3.00Mathematical modeling and the operations research approach for solving engineering decision problems. Formulation and classification of optimization models. The concept of improving search directions. Formulation of linear programs (LPs).The simplex algorithm and alternative approaches for solving LPs. Duality and sensitivity analysis in linear programming. Multi-objective optimization and goal programming. Network flow models. Formulation and solution methods of integer programs. Nonlinear programming. Introduction to metaheuristics. The course emphasizes problem formulation and solution via modern optimization modeling software
MEM ElectiveCreditsCollegesMEM Elective3CreditsSub-TotalOffOff
Sub-Total Credits
6