280235 UE PIK2 Advanced Modelling in Environmental Geochemistry (PI) (2020S)
Prüfungsimmanente Lehrveranstaltung
Labels
An/Abmeldung
Hinweis: Ihr Anmeldezeitpunkt innerhalb der Frist hat keine Auswirkungen auf die Platzvergabe (kein "first come, first served").
- Anmeldung von Mi 12.02.2020 10:00 bis Mi 26.02.2020 23:59
- Anmeldung von Mo 02.03.2020 10:00 bis Mo 16.03.2020 23:59
- Abmeldung bis Do 30.04.2020 23:59
Details
max. 16 Teilnehmer*innen
Sprache: Englisch
Lehrende
Termine
Block in September.
Information
Ziele, Inhalte und Methode der Lehrveranstaltung
Die Studierenden können die umweltgeochemische Modellierung auf komplexe aquatische Systeme anwenden. Sie können die Komplexität in konzeptionelle Modelle umsetzen und numerisch behandeln. Sie können die Modellergebnisse hinsichtlich eines vertieften Systemverständnisses inter-pretieren.
Art der Leistungskontrolle und erlaubte Hilfsmittel
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 %)
The course will be held on-line. All teaching, discussions and presentations will be done by online. Attendance of these on-line activities 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 %)
The course will be held on-line. All teaching, discussions and presentations will be done by online. Attendance of these on-line activities is required.
Mindestanforderungen und Beurteilungsmaßstab
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 %)
The course will be held on-line. All teaching, discussions and presentations will be done by online. Attendance of these on-line activities 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 %)
The course will be held on-line. All teaching, discussions and presentations will be done by online. Attendance of these on-line activities is required.
Prüfungsstoff
Literatur
Zuordnung im Vorlesungsverzeichnis
Letzte Änderung: Di 14.07.2020 09:49