280235 UE PIK2 Advanced Modelling in Environmental Geochemistry (PI) (2019S)
Continuous assessment of course work
Labels
Registration/Deregistration
Note: The time of your registration within the registration period has no effect on the allocation of places (no first come, first served).
- Registration is open from We 13.02.2019 10:00 to We 27.02.2019 23:59
- Registration is open from Fr 01.03.2019 10:00 to Th 14.03.2019 23:59
- Deregistration possible until Th 14.03.2019 23:59
Details
max. 16 participants
Language: English
Lecturers
- Stephan Krämer
- Naresh Kumar
- Walter Schenkeveld
- Alina Kleindienst (Student Tutor)
Classes
Block in September: 23. - 27. September 2019. Starting at 9:00 a.m.
Information
Aims, contents and method of the course
The students are able to apply numerical thermodynamic speciation modelling to complex environmental systems.They can interpret modelling results and develop a better process understanding of these systems.
Assessment and permitted materials
Presentation of your project to all other students at the beginning of the course; suggest what you aim to accomplish by modelling within the context of the project (25 %)
Submit a summary of data (e.g., experimental data, field data) that you may need for your modelling at the beginning of the course (10 %)
Submit input files at the end of the course (30 %)
Make a short presentation on what you accoplished at the end of the course (35 %)
Attendance is required
Submit a summary of data (e.g., experimental data, field data) that you may need for your modelling at the beginning of the course (10 %)
Submit input files at the end of the course (30 %)
Make a short presentation on what you accoplished at the end of the course (35 %)
Attendance is required
Minimum requirements and assessment criteria
Presentation of your project to all other students at the beginning of the course; suggest what you aim to accomplish by modelling within the context of the project (25 %)
Submit a summary of data (e.g., experimental data, field data) that you may need for your modelling at the beginning of the course (10 %)
Submit input files at the end of the course (30 %)
Make a short presentation on what you accoplished at the end of the course (35 %)
Attendance is required
Submit a summary of data (e.g., experimental data, field data) that you may need for your modelling at the beginning of the course (10 %)
Submit input files at the end of the course (30 %)
Make a short presentation on what you accoplished at the end of the course (35 %)
Attendance is required
Examination topics
Reading list
Association in the course directory
Last modified: Fr 20.09.2019 12:09