1 Logistics
1.1 How the course works
- The course is a mix of lectures by lecturers and contents taught by students.
- An introduction and overview lecture is given at the start of the semester.
- Two Chapters (Earth system feedbacks and Ocean CO2 uptake and emission-concentration trajectories) are taught by lecturers in the form of a lecture.
- Remaining chapters are covered by students, guided by six assignments.
- Each assignment specifies a set of question that covers the contents of the respective chapter. Each question is supplemented with references to the published literature where answers can be found.
- Groups of 3-4 students (number of students depending on the assignment) collaborate on the literature study, guided by answering the questions.
- The outcome of each assignment is a text document with correct citations and complemented with visualisations from the literature. Additionally, the contents of this text document are to be presented to the class (30 min.).
- The student presentations are complemented by fun lectures, given by the lecturers on a current research topic related to the assignmnets.
- The text documents are to be handed in before the respective presentation and are edited by the lecturers. The final edited versions are made available through the Land in the Earth System “textbook-website” as Part II. (Part I covers the contents of the course Land in the Earth System 1.)
- The contents on the website (Part II) are covered by the written exam. The fun lectures are not covered in the exam.
- The presentations and the text documents are not graded. But their timely submission and the active engagement of each student in the presentations and in collaboratively creating the text is the prerequisite for writing the exam.
- The exam is in written form, closed book, and takes place in the last session during the semester.
- Lead: Prof. Benjamin Stocker; contributing lecturers: Dr. Laura Marqués and Dr. Fabrice Lacroix.
- Course language is English.
- Monday 14.15-16.00 is our presence time, use it for your communication with us.
- No email communications.
1.2 Note of caution
The use of large language models (LLMs), such as ChatGPT, for supporting writing of text should be considered with caution. We are aware that LLMs can help solving technical tasks and the right use of LLMs for solving your problem is not discouraged. However, correct referencing of original sources of each statement in your text is mandatory and is unreliably solved by LLMs. Therefore, you have to understand your own text and verify and correct it before submitting it. Note that LLMs use text from various sources on the internet. Your report text must not contain verbatim copied text from unidentified sources. This would be considered plagiarism.