Course Details
Operation research in water management
Academic Year 2023/24
DP65 course is part of 2 study plans
D-P-C-SI (N) / VHS Summer Semester 1st year
D-K-C-SI (N) / VHS 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. Linear programming – Simplex method
2. Specific problems of linear programming
3 - 6. Non-linear programming
7. Dynamic programming
8 - 9. Multicriteria optimisation, solving techniques
10-11. Project management
12. Neural networks, genetic algorithms
13. Risk analysis and risk assesment
2. Specific problems of linear programming
3 - 6. Non-linear programming
7. Dynamic programming
8 - 9. Multicriteria optimisation, solving techniques
10-11. Project management
12. Neural networks, genetic algorithms
13. Risk analysis and risk assesment
Prerequisites
Knowledge in the level of the subject 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. Linear programming – Simplex method
2. Specific problems of linear programming
3 - 6. Non-linear programming
7. Dynamic programming
8 - 9. Multicriteria optimisation, solving techniques
10-11. Project management
12. Neural networks, genetic algorithms
13. Risk analysis and risk assesment