Course Details

Operation research in water management

Academic Year 2022/23

DPB026 course is part of 4 study plans

DPC-V Summer Semester 1st year

DKC-V Summer Semester 1st year

DKA-V Summer Semester 1st year

DPA-V Summer Semester 1st year

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

Course Guarantor

doc. Ing. Ladislav Tuhovčák, CSc.

Institute

Institute of Municipal Water Management

Objective

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.

Knowledge

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

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

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"

Language of instruction

Czech

Credits

8 credits

Semester

summer

Forms and criteria of assessment

examination

Specification of controlled instruction, the form of instruction, and the form of compensation of the absences

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

Offered to foreign students

Not to offer

Course on BUT site

https://www.vut.cz/en/students/courses/detail/255951

Lecture

13 weeks, 3 hours/week, elective

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