Course detail

Operation research in water management

FAST-DPB026Acad. year: 2020/2021

Linear programming, non linear programming, graph theory, critical path methods, multicriteria optimisation methods, ANN - Artificial Neural Networks, Genetic algoritm, risk analysis and risk assesment

Language of instruction

Czech

Number of ECTS credits

8

Mode of study

Not applicable.

Guarantor

doc. Ing. Ladislav Tuhovčák, CSc.

Department

Institute of Municipal Water Management (VHO)

Learning outcomes of the course unit

The basic survey of using the optimization methods in water management and water industry.

Prerequisites

Knowledge in the level of the subject CP003 Operation research in water management in master study fiel "Civil Engineering - field Water Management and Water Structures"

Co-requisites

Not applicable.

Planned learning activities and teaching methods

Not applicable.

Assesment methods and criteria linked to learning outcomes

Not applicable.

Course curriculum

1. - 4. Selected problems of non-linear programming and methods of solving them.
5. - 8. Multi-criteria optimization tasks, methods of solution.
9. - 12. Use of artificial neural networks, genetic algorithms, available software for their use.13. Risk analysis

Work placements

Not applicable.

Aims

Developmnet of knowledge in using and implementation of optimisation methods and methods of projects steering in design, operation of different water systems,water management and water structures.
Case studies with implementation of different optimisation methods.

Specification of controlled education, way of implementation and compensation for absences

Extent and forms are specified by guarantor’s regulation updated for every academic year.

Recommended optional programme components

Not applicable.

Prerequisites and corequisites

Not applicable.

Basic literature

Not applicable.

Recommended reading

Not applicable.

Classification of course in study plans

  • Programme DPC-V Doctoral 1 year of study, summer semester, compulsory-optional
  • Programme DPA-V Doctoral 1 year of study, summer semester, compulsory-optional
  • Programme DPC-V Doctoral 1 year of study, summer semester, compulsory-optional
  • Programme DKA-V Doctoral 1 year of study, summer semester, compulsory-optional

Type of course unit

 

Lecture

39 hod., optionally

Teacher / Lecturer

doc. Ing. Ladislav Tuhovčák, CSc.

Syllabus

1. - 4. Selected problems of non-linear programming and methods of solving them. 5. - 8. Multi-criteria optimization tasks, methods of solution. 9. - 12. Use of artificial neural networks, genetic algorithms, available software for their use.13. Risk analysis