Undergraduate Certificate in Operations Research and Decision Science
-- ViewingNowThe Undergraduate Certificate in Operations Research and Decision Science is a valuable program that equips learners with essential skills in optimization, simulation, and statistical analysis. This certificate course is crucial in today's data-driven world, where businesses increasingly rely on data to make informed decisions.
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โข Linear Programming: Introduction to the fundamental techniques and concepts of linear programming, including formulating and solving linear programming problems using graphical and simplex methods.
โข Network Flows: Study of network flow models and algorithms, including flow networks, cut theorem, Ford-Fulkerson method, and applications in transportation and communication networks.
โข Integer Programming: Exploration of integer programming techniques, including branch-and-bound, cutting plane methods, and heuristics for solving integer and mixed-integer programming problems.
โข Queueing Theory: Examination of queueing models, analysis of queueing systems, and applications in manufacturing, communication, and service systems.
โข Inventory Control: Study of inventory control policies, including periodic review, continuous review, order point, and order quantity models, with an emphasis on optimization techniques.
โข Decision Analysis: Introduction to decision analysis, decision trees, expected value, and sensitivity analysis, with applications to risk management and strategic decision making.
โข Simulation: Overview of simulation techniques for modeling and analyzing complex systems, including discrete event simulation, Monte Carlo methods, and variance reduction techniques.
โข Stochastic Processes: Study of stochastic processes, including Markov chains, Poisson processes, and renewal processes, with applications in reliability, maintenance, and quality control.
โข Optimization Algorithms: Exploration of optimization algorithms, including gradient-based methods, evolutionary algorithms, and heuristics, for solving large-scale optimization problems.
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