Course detail

Operation research in water management

FAST-DP65Acad. year: 2018/2019

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

Department

Institute of Municipal Water Management (VHO)

Learning outcomes of the course unit

Not applicable.

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"

Co-requisites

Not applicable.

Recommended optional programme components

Not applicable.

Recommended or required reading

Not applicable.

Planned learning activities and teaching methods

Teaching methods depend on the type of course unit as specified in the article 7 of BUT Rules for Studies and Examinations.

Assesment methods and criteria linked to learning outcomes

Not applicable.

Language of instruction

Czech

Work placements

Not applicable.

Course curriculum

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

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.

Classification of course in study plans

  • Programme D-K-C-SI (N) Doctoral

    branch VHS , 1. year of study, summer semester, 8 credits, compulsory-optional

  • Programme D-P-E-SI (N) Doctoral

    branch VHS , 1. year of study, summer semester, 8 credits, compulsory-optional

  • Programme D-K-E-SI (N) Doctoral

    branch VHS , 1. year of study, summer semester, 8 credits, compulsory-optional

  • Programme D-P-C-SI (N) Doctoral

    branch VHS , 1. year of study, summer semester, 8 credits, compulsory-optional

Type of course unit

 

Lecture

39 hours, optionally

Teacher / Lecturer

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

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