Course Details
Operation research in water management
Academic Year 2023/24
DPB026 course is part of 4 study plans
DPC-V Summer Semester 1st year
DPA-V Summer Semester 1st year
DKC-V Summer Semester 1st year
DKA-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
Institute
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.
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
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
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