Modelling and Simulation
Code: 104410 ECTS Credits: 6| Degree | Type | Year |
|---|---|---|
| 2503740 Computational Mathematics and Data Analytics | OB | 3 |
Contact
- Name:
- Gabriel Vicent Jover Maņas
- Email:
- gabriel.jover@uab.cat
Teachers
- Gabriel Vicent Jover Maņas
- (External) Aureli Alabert
Teaching groups languages
You can view this information at the end of this document.
Prerequisites
The contents of calculus, probability and linear algebra given in the 1st year should be known. It is alsoy necessary a fair command of the R and Python programming languages. It is advised to have followws the subjects Ordinary Differential Equations (2nd year) and Partial Differential Equations (3rd year).
Objectives and Contextualisation
To learn different points and alternatives related to the modelling of real world phenomena, as well as its formal and/or computational analysis according to the problem.
Learning Outcomes
- CM25 (Competence) Assess the difficulty of doing an analytical probability calculation in complex situations.
- CM25 (Competence) Assess the difficulty of doing an analytical probability calculation in complex situations.
- CM25 (Competence) Assess the difficulty of doing an analytical probability calculation in complex situations.
- CM25 (Competence) Assess the difficulty of doing an analytical probability calculation in complex situations.
- CM27 (Competence) Create reality simulation models to establish and verify hypotheses in the study of more complex problems or situations.
- CM27 (Competence) Create reality simulation models to establish and verify hypotheses in the study of more complex problems or situations.
- KM22 (Knowledge) Identify the basics of logistics and other fields in which operations research is applied in the technological and industrial field.
- KM22 (Knowledge) Identify the basics of logistics and other fields in which operations research is applied in the technological and industrial field.
- SM20 (Skill) Distinguish, in a problem, what is important for the construction of the mathematical model and its solution from what is not.
- SM21 (Skill) Distinguish when analytical probability calculations can be performed and when stochastic simulation should be used.
- SM22 (Skill) Select models of the scientific or technological reality related to a decision-making problem, expressing them in the mathematical language of optimisation problems with dynamic programming or stochastic queueing.
- SM22 (Skill) Select models of the scientific or technological reality related to a decision-making problem, expressing them in the mathematical language of optimisation problems with dynamic programming or stochastic queueing.
- SM23 (Skill) Use computer applications for statistical analysis, numerical and symbolic calculation, graph visualisation, optimisation and others to experiment with and solve problems.
Content
1. Modelitsation of physical phenomena
2. Discrete Event Simulation
Activities and Methodology
| Title | Hours | ECTS | Learning Outcomes |
|---|---|---|---|
| Type: Directed | |||
| Theoretical lessons | 20 | 0.8 | |
| Type: Supervised | |||
| Project | 30 | 1.2 | |
| Type: Autonomous | |||
| Project development and personal study | 96 | 3.84 |
The metodology will combine ctheory and practical work with computers. In some chapters, the students will have material to study before the corresponding lecture.
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 |
|---|---|---|---|---|
| Exams | 45% | 2 | 0.08 | CM25, CM27, KM22, SM20, SM21, SM22, SM23 |
| Oral presentations | 25% | 2 | 0.08 | CM25, CM27, KM22, SM20, SM21, SM22, SM23 |
| Written report and deliveries | 30% | 0 | 0 | CM25, CM27, KM22, SM20, SM21, SM22, SM23 |
- Homework deliveries (30% of the final grade).
- Exams (70% of the final grade).
To pass the course you must:
- Get a minimum grade of 4.0/10 in each of the exams.
- Get a global mean of 5.0/10, which will be the final grade.
Grades not satisfying these conditions can be studied case by case.
Each exam will have a second call ("recuperació" in the official terminology of UAB). The attendamce to the second call shall automatically invalidate the grade of the first one. There is no second call for the homework deliveries.
Student that have attended exams or hand-in homework for a total of 50% or more of the course, according to the weight that appears in the Avaluation Activities table, will be evaluated. Otherwise will be considered "not evauable".
For the eventual award of Special Honours ("Matricula de Honor" in the official terminology) the grades of second exam calls will not be taken into account.
The plagiarism in the homework deliveries will be considered an offense as serious as any kind of cheating in and exam, and shall be penalised with an automatic course failure.
Bibliography
All necessary material will be provided during the course. bibliographical reference and other resourcer will be sugested at the appropriate moment.
Software
During the course, the software will be precised, and instructions to install it willbe given if necessary
Language list
| Name | Group | Language | Semester | Turn |
|---|---|---|---|---|
| (PLAB) Practical laboratories | 1 | Catalan | second semester | morning-mixed |
| (SEM) Seminars | 1 | Catalan | second semester | morning-mixed |
| (TE) Theory | 1 | Catalan | second semester | morning-mixed |