Applied Modelling & Simulation
Code: 43480
ECTS Credits: 6
2024/2025
Degree |
Type |
Year |
4313136 Modelling for Science and Engineering |
OT |
0 |
Teachers
- Gemma Sanjuan Gomez
- Veṛnica Vidal Canedo
- Carlos Carrillo Jordan
Teaching groups languages
You can view this information at the end of this document.
Prerequisites
User knowledge of computer systems and (recommended) some knowledge of a programming language but not essential.
Objectives and Contextualisation
The present course aims to:
- Introduce students to the modelling and simulation techniques used in multidisciplinary areas.
- Apply the appropriate methodology for developing models in multidisciplinary areas.
- Evaluate modelling and simulation tools available for different areas.
- Model and simulate structures of different types.
Competences
- Analyse complex systems in different fields and determine the basic structures and parameters of their workings.
- Analyse, synthesise, organise and plan projects in the field of study.
- Formulate, analyse and validate mathematical models of practical problems in different fields.
- Present study results in English.
- Safeguard, manage, audit and certify the quality of advanced developments, processes, systems and software.
- Solve complex problems by applying the knowledge acquired to areas that are different to the original ones.
- Use appropriate numerical methods to solve specific problems.
Learning Outcomes
- Analyse, synthesise, organise and plan projects in the field of study.
- Describe the different components of a system and the interactions between them.
- Identify the parameters that determine how a system works.
- Implement appropriate numerical methods to solve models in the field of engineering.
- Model engineering systems using commercial tools.
- Present study results in English.
- Simulate the behaviour of complex systems.
- Solve complex problems by applying the knowledge acquired to areas that are different to the original ones.
- Validate the simulation results with the predictions of the models and the behaviour of the real system.
Content
Module 1: Modelling in engineering
- Tools for structural modelling
- Structures design
- Structural Simulation
- 3D Printed
Module 2: Applications of Complex Physical Models
- Forest fire spread models: basic and Rothermel model, global models
- Input uncertainty: Data Driven Systems (Genetic Algorithms, Statistic Systems)
- Multi-model prediction system (Numerical Weather Prediction, Wind Field model, Fuels models..)
- Numerical weather forecast models: Numerical Weather Prediction (NWP)
- Basic concepts of Atmospheric Modelization. NWP models and computational power
Activities and Methodology
Title |
Hours |
ECTS |
Learning Outcomes |
Type: Directed |
|
|
|
Theoretical Lectures |
12
|
0.48 |
2, 3, 5, 8
|
Type: Supervised |
|
|
|
Practical sessions |
26
|
1.04 |
1, 4, 7, 9
|
Type: Autonomous |
|
|
|
Collaborative work |
40
|
1.6 |
1, 4, 7, 9
|
Individual (personal work) |
20
|
0.8 |
1, 2, 4, 5, 7, 9
|
Technical documentation study and preparation |
45
|
1.8 |
2, 3, 5, 6
|
The course will be developed in theoretical classes, practical excercises and seminars.
It is recommended that students attend all classes of the subject with a laptop and (minimum) Windows 10.
Annotation: Within the schedule set by the centre or degree programme, 15 minutes of one class will be reserved for students to evaluate their lecturers and their courses or modules through questionnaires.
Assessment
Continous Assessment Activities
Title |
Weighting |
Hours |
ECTS |
Learning Outcomes |
Environmental modelling and simulation: Case study |
40% |
3
|
0.12 |
4, 7, 8, 9
|
Structural simulation |
60% |
4
|
0.16 |
1, 2, 3, 5, 6, 8
|
The evaluation will be made by developing and presenting the proposed case studies using the tools presented in the lecture sessions. Group work and interaction will also be assessed.
In the case that the student has an evaluation of less than 5 points in some sections of the assessment (except the Lab), the student will have to do an additional (in person) test on the particular section.
Academic Integrity
If the student use someone else’s work (code, figures, research publications, etc.) to produce any work for this course, the student must:
- Indicate how this work was used,
- Acknowledge this work in a bibliography section.
Violation of these policies will be considered a breach of academic integrity, and the student will be subject to penalties outlined by the MsC studies coordination at the Faculty of Sciences.The student is subject to the rights and responsibilities that includes an academic (grade) penalty administered by the professor and/or disciplinary action through the UAB judicial process by plagiarism responsabilitities.
Software
SolidEdge
WRF
FARSITE
WindNinja
VirtualBox
Language list
Name |
Group |
Language |
Semester |
Turn |
(TEm) Theory (master) |
1 |
English |
second semester |
afternoon |