6 EC
Semester 2, periode 4
5132MOSI6Y
The course provides a detailed introduction to modelling and simulation techniques commonly used in the earth and natural sciences. The course is primarily intended for students from the Future Planet Studies bachelor’s program but is equally useful for those wishing to apply modelling and simulation techniques in related fields. Students in this course are required to have had experience in basic programming in Matlab, and acquaintance with classical mathematical models in geo-ecosystems or related fields.
Suggested reading material will be provided together with the weekly assignments. In some cases the material provided will be necessary for completing the worksheets, in other cases it will be provided as extra enrichment and/or extra support.
Weekly assignments (6) will be published on Tuesdays with the hands-on activities the students need to carry out that week.
Matlab
Students will need to bring their personal laptops to the lectures, to the practicals and to the exam.
Matlab needs to be installed before the first lecture!
Modelling and Simulation in the earth and natural sciences require both skills (i.e., programming, developing algorithms, and solving equations) and techniques (i.e., the ability to recognise what is important and needs to be represented in the model, and what can and should be left out). Because this is a course designed for beginners, focus is given to both aspects— the technical side of constructing models and the ability to identify appropriate degrees of abstraction.
Because there is no absolute set of rules that can universally be prescribed for insuring successful modelling results; students will be confronted with realistic and concrete hands-on modelling exercises throughout the course through which they can gain proficiency in the process of abstracting real systems into models and other practical expertise relevant to modelling and simulation. This will also support the development of each student's personal understanding and intuition, providing them with foundations for critical and creative problem solving in the natural sciences through simulation and modelling.
|
Activity |
Number of hours |
|
Lecture |
14 |
|
Laptopcollege |
56 |
|
Exam |
4 |
|
Self-study |
89.6 |
Aanwezigheidseisen opleiding (OER-B):
Aanvullende eisen voor dit vak:
| Onderdeel en weging | Details |
|
Eindcijfer | |
|
1 (100%) Tentamen |
Student final grade will be based on the score of the final exam and on the 6 assignments handed in by the students throughout the course. The final grade will be based on a weighted average between the assignments submitted throughout the course (1/3) and the final exam (2/3): the score of the exam cannot be less than 4.5, and the assignments will only be included in the final grade if: a) the exam mark falls between 4.5 and 5.5, and b), if the final grade after inclusion of the assignments is higher. In such cases the final grade will never be higher than 6.0.
For students that are enrolled in the course for the 2nd/3rd/etc. time, it is still mandatory to complete all components
De manier van inzage wordt via de digitale leeromgeving gecommuniceerd.
Up to 20 working days after the announcement of the result students have the right to inspect their work. Students can make an appointment with the course coordinator, Dr. Artzy-Randrup at Yael.Artzy@UvA.nl
The assignment has to be submitted individually, students are allowed to discuss with each other but they must not provide final solutions or scripts to each other.
The assignment has to be submitted individually, students are allowed to discuss with each other but they must not provide final solutions or scripts to each other.
The assignment has to be submitted individually, students are allowed to discuss with each other but they must not provide final solutions or scripts to each other.
The assignment has to be submitted individually, students are allowed to discuss with each other but they must not provide final solutions or scripts to each other.
The assignment has to be submitted individually, students are allowed to discuss with each other but they must not provide final solutions or scripts to each other.
The assignment has to be submitted individually, students are allowed to discuss with each other but they must not provide final solutions or scripts to each other.
Dit vak hanteert de algemene 'Fraude- en plagiaatregeling' van de UvA. Hier wordt nauwkeurig op gecontroleerd. Bij verdenking van fraude of plagiaat wordt de examencommissie van de opleiding ingeschakeld. Zie de Fraude- en plagiaatregeling van de UvA: http://student.uva.nl
|
Work assignment #1 |
Deadline |
Heat flow |
|
Work assignment #2 |
Deadline |
Rainfall interception |
|
Work assignment #3 |
Deadline |
Groundwater flow |
|
Work assignment #4 |
Deadline |
Erosion |
|
Work assignment #5 |
Deadline |
Sand-pile |
|
Work assignment #6 |
Deadline |
Vegetation patterns |
Het rooster van dit vak is in te zien op DataNose.
1) Experience with basic programming in Matlab
2) Software and personal laptop: Students will need to bring their personal laptops to the lectures, practical’s and the exam. Matlab needs to be installed before the first meeting (for assistance see below).
FNWI offers licenses for MATLAB, including instructions for both Windows and Mac, as well as software support:
Course coordinator:
Dr. Yael Artzy-Randrup (Yael.Artzy@UvA.nl)
Teaching assistants:
Walter van Dijk, Bart Hoekstra and Anne Rietman