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VPP Optimization of Processes and Projects

course grade year semester branch
VPP 2 2 summer Applied Computer Science and Control
VPP 2 2 summer Applied Computer Science and Control (P)
VPP-A 2 1 summer Mechanical Engineering
VPP-A 2 2 summer Applied Computer Science and Control
VPP-K 2 2 summer Applied Computer Science and Control
VPP-K 2 2 summer Applied Computer Science and Control (P)

Supervisor

prof. RNDr. Ing. Miloš Šeda, Ph.D.

Annotation

The course deals with the following topics: The basis of mathematical process theory. Optimal regulation. The principle of Bellman as a tool for optimization of multistage processes with a general non-linear criterion function. Optimum decision policy. Dynamic programming as a tool for creation of methods for a solution of the deterministic and stochastic decision optimization problems in discrete as well as continuous range and its computation aspects. Pontryagin maximum principle. Fuzzy regulation. Applications in practical problems solution in economical decisions and in technological process control. Optimization in project management in the stages of multicriteria projects selection into portfolio in case of a restricted resource, of resource scheduling in deterministic, stochastic and fuzzy case, of cost analysis of projects and monitoring the deviations between real and scheduled projects course.

More information: VPP, VPP-K, VPP-A