342-0972/02 – Computational Methods and Tools for Transport Systems (VMaNpDS)
| Gurantor department | Institute of Transport | Credits | 10 |
| Subject guarantor | prof. Ing. Tomáš Kozubek, Ph.D. | Subject version guarantor | prof. Ing. Tomáš Kozubek, Ph.D. |
| Study level | postgraduate | Requirement | Choice-compulsory type B |
| Year | | Semester | winter + summer |
| | Study language | English |
| Year of introduction | 2019/2020 | Year of cancellation | |
| Intended for the faculties | FS | Intended for study types | Doctoral |
Subject aims expressed by acquired skills and competences
algoritmy z oblasti modelování, simulace složitých systémů a z nich vyplývající analýza rozsáhlých kolekcí experimentálních dat. Bude představena metodologie modelování systémů, definovány základní třídy úloh z oblasti jejich spojité, diskrétní či kombinované simulace. Plánování a následné provádění simulačních experimentů vede k vytváření rozsáhlých kolekcí dat, které je nutno následně analyzovat prostřednictvím metod postavených na neuronových sítích, vyhledávání nejbližšího souseda ve vysoce dimenzionálních datech, zpracování proudových dat, algoritmů strojového učení jakými jsou perceptronové sítě a SVM atd. V rámci kurzu bude kladen důraz na použití metod optimalizovaných pro HPC servery.
Teaching methods
Lectures
Individual consultations
Project work
Summary
The course will introduce the tools, methods and algorithms used in various fields related to transport and transport systems. These tools, methods and algorithms will cover a wide range of algorithms and methods used to solve the transport itself, such as Vehicle Routing Problem or Logistics, through methods for assessing the safety and carrying capacity of transport structures and structures, and methods used to solve vehicle aerodynamics. The role of simulation methods in the product design process will be elucidated.
Compulsory literature:
Recommended literature:
Additional study materials
Way of continuous check of knowledge in the course of semester
Oral examination.
E-learning
Other requirements
Semestral project on the defined topic and its presentation before examiner.
Prerequisities
Subject has no prerequisities.
Co-requisities
Subject has no co-requisities.
Subject syllabus:
1. Algorithms for dealing with traffic situation
2. Algorithms for modeling and simulation of complex systems
3. Algorithms for extensive data analysis
4. Methodology of complex systems modeling
5. Discrete simulation tasks
6. Tasks of continuous simulation
7. Tasks combined
8. Introduction to neural networks
9. Introduction to High Performance Computing (HPC)
10. Methods for assessing the safety and carrying capacity of transport structures and structures
11. Introduction to Finite Element Method (FEM)
12. Introduction to Software Tools (ANSYS)
13. Solving basic tasks
14. Methods for assessing vehicle aerodynamice
15. Introduction to Final Volume Method (MKV)
16. Introduction to software tools (FLUENT, OpenFOAM)
17. Solving basic tasks
Conditions for subject completion
Occurrence in study plans
Occurrence in special blocks
Assessment of instruction
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