280235 UE Advanced Modelling in Environmental Geochemistry (PI) (2022S)
Continuous assessment of course work
Labels
MIXED
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 Tu 08.02.2022 08:00 to We 23.02.2022 12:00
- Registration is open from Mo 28.02.2022 08:00 to Tu 15.03.2022 12:00
- Deregistration possible until Th 31.03.2022 23:59
Details
max. 12 participants
Language: English
Lecturers
- Stephan Krämer
- Kyle Chardi
- Anna Sabrina Kistler (Student Tutor)
Classes
Block dates will be announced. Please contact Prof. Kraemer by e-mail for individual preliminary meetings.
Information
Aims, contents and method of the course
This course is geared towards students on the master or PhD level, who are already working on problems involving environmental (geo)chemistry in the context of their master or PhD project, that may benefit from using thermodynamic speciation models. During the course, students will present their problems and will work towards the definition of conceptual and numerical models in this context.
Assessment and permitted materials
Presentation of your master or PhD 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 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 %)
The course may be held on-line or in-class. Attendance is required.
Submit a summary of data (e.g., experimental data, field data) that you 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 %)
The course may be held on-line or in-class. Attendance is required.
Minimum requirements and assessment criteria
Presentation of your master or PhD 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 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 %)
The course may be held on-line or in-class. Attendance is required.
In order to pass, at least 50% of the maximum attainable points for the course.
Submit a summary of data (e.g., experimental data, field data) that you 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 %)
The course may be held on-line or in-class. Attendance is required.
In order to pass, at least 50% of the maximum attainable points for the course.
Examination topics
Reading list
Association in the course directory
Last modified: We 20.08.2025 00:22