Second Semester

Course Number: ICSS-M-2.1.1 (63-879) 

Title: Climate Dynamics 

Learning Outcomes: Students have a thorough understanding of the theoretical basics of climate dynamics, and know the art and science of constructing conceptual models of the climate system. 

Contents: Concepts and models are introduced that help us understand fundamental aspects of the earth’s climate, such as global mean temperature, global-scale temperature differences, and what might cause these to vary on timescales of decades and longer. Particular emphasis will be placed on oceanic and coupled ocean atmosphere processes. While we cover observed elements of the climate system and a hierarchy of models ranging from the simplest models to general circulation models, the focus will be on the art and science of constructing simplified models that help us obtain conceptual understanding. Discussing what is not understood, and hence identifying areas of current and future research, will be a crucial element of the course. 

Educational Concept: Lectures (2 SWS), homework assignments

Language: English

Formal Requirements for Participation: None

Recommended Prerequisites: Basic calculus and differential equations; some introduction to atmospheric or oceanic science

Exam Framework:

• Type: Joint module exam
• Requirements for registration: An overall grade of at least 50% in homework assignments
• Language: English

Credit Points: 3

Workload:

• Campus Study: 24 hours
• Self-study: 36 hours
• Exam Preparation: 30 hours

Course Type and Usability: Compulsory for M.Sc. ICSS; open for students of related M.Sc. programs, dependent on capacities and schedule.

Frequency of Offer: Annually in the summer semester

Duration: one semester

Module Coordinator: Track coordinator physics

Course Lecturers: J. Marotzke 

Literature: Will be announced during the course.

Course Number: ICSS-M-2.1.2 (63-863) 

Title: Dynamics of land-atmosphere interactions 

Learning Outcomes: Students have an understanding of key biophysical and biogeochemical land-atmosphere interactions that influence climate dynamics. They know basic mathematical and numerical concepts of how to represent the underlying terrestrial processes in land surface models. 

Contents: The lectures will address dynamics of land-atmosphere interactions due to energy and greenhouse gas balances that are imortant for climate dynamics on a decadal to cenenntial time scale, and respective feedback mechanisms. We will discuss specific modelling concept used in land surface models and their limitations. 

Educational Concept: Lectures (2 SWS)

Language: English

Formal Requirements for Participation: None

Recommended Prerequisites: None

Exam Framework:

• Type: Joint module exam
• Requirements for registration: Regular and active participation
• Language: English

Credit Points: 3

Workload:

• Campus Study: 28 hours
• Self-study: 42 hours
• Exam Preparation: 20 hours

Course Type and Usability: Compulsory for M.Sc. ICSS; open for students of related M.Sc. programs, dependent on capacities and schedule.

Frequency of Offer: Annually in the summer semester

Duration: one semester

Module Coordinator: Track coordinator physics

Course Lecturer: C. Beer

Literature: Will be announced during the course.

Course Number: ICSS-M-2.1.3 (63-921) 

Title: Researching and Shaping Climate Futures (formerly: Uncertain Climate Futures)

Learning Outcomes: After completing the seminar, students will be able to (i) reproduce the emergence of uncertainties in the context of climate research and climate policy and the views of various actors, (ii) understand the causes of different approaches to the problem of "uncertainty" and (iii) think through and develop alternative options for dealing with "uncertainty". Additionally, the students will train to empathize with different actors, to position themselves with regard to certain questions and to reflect their opinion and understanding critically. 

Contents: Uncertainties in the context of climate change have long since emerged from purely scientific consideration. Nowadays, uncertainties are of concern, and influence not only science but also journalism, politics and a broad public. In the course, students and teachers will jointly understand the various causes and the development of uncertainties, experience multi-perspectivity and illuminate and understand the handling and communication processes of the various actors. 

Educational Concept: Seminar (2 SWS)

Language: English

Formal Requirements for Participation: None

Recommended Prerequisites: None

Exam Framework:

• Type: Joint module exam
• Requirements for registration: 80% participation at the seminar
• Language: English

Credit Points: 3

Workload:

• Campus Study: 28 hours
• Self-study: 50 hours
• Exam Preparation: 12 hours

Course Type and Usability: Compulsory for M.Sc. ICSS; open for students of related M.Sc. programs, dependent on capacities and schedule.

Frequency of Offer: Annually in the summer semester

Duration: one semester

Module Coordinator: Track coordinator physics

Course Lecturers: J. Behrens, J. Baehr, L. Borchert, L. Kutzbach, S. Rödder, M. Revers

Literature: Will be announced during the course.

Course Number: ICSS-M-2.1.1 (63-915) 

Title: Objectivity, Values, and Stakeholder Participation: Philosophical Consideration

Educational Concept: Seminar (2 SWS)

Language: English

Formal Requirements for Participation: None

Credit Points: 3

Course Lecturers: M. Dressel

Course Number: ICSS-M-2.1.2 (63-317) 

Title:  Soils in the field: GIS Application

Educational Concept: Practical course/lab (2 SWS)

Language: English

Formal Requirements for Participation: None

Recommended Prerequisites: None
Credit Points: 3

Course Lecturer: M. Kwon

Course Number: ICSS-M-2.1.2 (63-949) 

Title: Seminar on Integrated Climate System Sciences 

Learning objectives: Identification of the objective of the MSc thesis, presentation and discussion of the concept of the MSc thesis, planning and management of the MSc thesis

Contents: Active participation of presentations with references to research and work issues related to climate system sciences with discussions.

Educational Concept: Seminar (2 SWS)

Language: English

Credit Points: 3

Course Lecturer: C. Beer

See Module Handbook M.Sc. Ocean and Climate Physics (OCP).

Course Number: ICSS-M-2.2.7 (63-732) 

Title: Theoretical Oceanography 2

Educational Concept: Lectures (4 SWS)

Language: English

Credit Points: 6

Course Lecturer: C. Eden

Course Number: ICSS-M-2.2.7 (63-761b) 

Title: Sea ice physics, observations and modeling II 

Learning Outcomes: This course provides a hands-on introduction into the physics of sea ice and its interaction with the atmosphere and the ocean. Particular focus will be on the scientific methods used to explore sea ice, including satellite remote sensing, scientific instrumentation and large-scale climate modelling. We will examine how the different methods are ideally combined to provide robust insights into the functioning of sea ice, and thus use sea ice as a proxy to gain experience in working as a climate researcher. 

Contents: Large-scale forcing of the Arctic and Antarctic sea-ice cove; impact of interval variability and external forcing; seasonal, decadal and centennial predictitons and projections; techniques of in-situ and remote sensing observations; modelling sea ice; analyzing field and laboratory data; writing scientific reports. 

Educational Concept: Lectures and tutorials (4 SWS)

Language: English

Formal Requirements for Participation: Previous participation in Sea ice physics, observations and modeling I is highly recommended.

Exam Framework:

• Type: Usually reports
• Language: English

Credit Points: 6

Workload:

• Campus Study: 56 hours
• Self-study: 64 hours
• Exam Preparation: 60 hours

Course Type and Usability: Elective for M.Sc. ICSS; open for students of related M.Sc. programs, dependent on capacities and schedule.

Frequency of Offer: Annually in the summer semester

Duration: One semester

Module Coordinator: Track coordinators

Course Lecturers: D. Notz, S. Kern , S. Arndt 

Literature: Will be announced during the course.

Course Number: ICSS-M-2.2.3 (63-938) 

Title: Advanced Numerical Methods for Climate Modeling 

Learning Outcomes: Students have gained insight in advanced numerical methods for climate modeling, especially for conservation laws, efficient parallel solvers for large linear systems of equations, multi-level methods, etc. 

Contents: Introduction to numerical methods for the implementation of conservation laws: introduction to structure of conservation laws, finite volume methods, discontinuous Galerkin methods, finite element methods, advanced time integration schemes, issues in high performance computing. Parallel solution of large systems of linear equations: introduction to parallel architectures and HPC systems, iterative solution of large systems of equations: Krylov subspace methods, multi-level methods, and efficient preconditioners. 

Educational Concept: Lectures, practical exercises (2 SWS)

Language: English

Formal Requirements for Participation: Regular participation in the course Introduction to Numerical Approaches.

Recommended Prerequisites: Knowledge of mathematical concepts in ordinary and partial differential equations, basic knowledge of theoretical meteorology and/or oceanography

Exam Framework:

• Type: Joint track exam
• Requirements for registration: Active participation
• Language: English

Credit Points: 3

Workload:

• Campus Study: 28 hours
• Self-study: 42 hours
• Exam Preparation: 20 hours

Course Type and Usability: Elective for M.Sc. ICSS; open for students of related M.Sc. programs, dependent on capacities and schedule.

Frequency of Offer: Annually in the summer semester

Duration: One semester

Module Coordinator: Track coordinator physics

Course Lecturer: J. Behrens

Literature: Will be announced during the course.

See Module Handbook M.Sc. Ocean and Climate Physics (OCP).

Course Number: ICSS-M-2.1.2 (63-746) 

Title: Climate Modelling 

Educational Concept: Lecture (2 SWS)

Language: English

Credit Points: 3

Course Lecturer: J. Baehr, L. Borchert, C. J. Kadow, P. S- Lentz

Comments/contents:
The following topics will be covered in lecture and/or tutorial/seminar:

• From simple to complex earth system models
• Coupling of different components
• Choices in model setup and tuning
• Control, historical and forced climate (change)
  simulations
• Analysis of simulations and critical discussion of results
• Model intercomparison

Learning objectives:
Students will have a basic understanding of global coupled climate models: how they work, are developed and how they can advance our understanding of the climate system. Students will be able to discuss advantages as well as the limitations of different model setups and analyses.

See Module Handbook M.Sc. Ocean and Climate Physics (OCP).

Course Number: ICSS-M-2.1.2 (63-747) 

Title: Climate Modelling (Seminar/Tutorial)

Educational Concept: Seminar (2 SWS)

Language: English

Credit Points: 3

Course Lecturer: J. Baehr, L. Borchert, C. J. Kadow, P. S- Lentz

Course Number: ICSS-M-2.2.6 (63-931) 

Title: Atmospheric Circulation Systems: Part II 

Learning Outcomes: Students have gained a deeper insight into selected atmospheric circulation systems and acquire basic knowledge on global atmospheric circulation modeling. 

Contents: Important topics are: moist entropy and tropical circulation systems; potential vorticity and mid-latitude dynamics; atmospheric global circulation modeling; atmospheric transport. 

Educational Concept: Lectures including discussions (2 SWS); exercises and worked examples (1 SWS)

Language: English

Formal Requirements for Participation: None

Recommended Prerequisites: Participation in the course Atmospheric Circulation Systems: Part I

Exam Framework:

• Type: Joint track exam
• Requirements for registration: Active participation
• Language: English

Credit Points: 3

Workload:

• Campus Study: 39 hours
• Self-study: 21 hours
• Exam Preparation: 30 hours

Course Type and Usability: Elective for M.Sc. ICSS; open for students of related M.Sc. programs, dependent on capacities and schedule.

Frequency of Offer: Annually in the summer semester

Duration: One semester

Module Coordinator: Track coordinator physics

Course Lecturer: H. Borth

Literature: Will be announced during the course.

Course Number: ICSS-M-2.2.7 (63-733) 

Title: Theoretical Oceanography 2 (Exercises)

Educational Concept: Practical course/lab (2 SWS)

Language: English

Credit Points: 3

Course Lecturers: L. Czeschel, A. Griesel

Course Number: ICSS-M-2.2.7 (63-762) 

Title: Ocean Carbon Dynamics 

 Educational Concept: Lecture (2 SWS)

Language: English

Credit Points: 3

Course Lecturer: T. Ilyina

Course Number: ICSS-M-2.2.7 (63-763) 

Title: Ocean Carbon Dynamics (Exercises)

 Educational Concept: Practical course/lab (2 SWS)

Language: English

Credit Points: 3

Course Lecturer: T. Ilyina, N. Serra

Course Number: ICSS-M-2.2.x (63-932) 

Title: Weather and Climate Extremes in a changing climate 

Learning objectives:  Understanding of weather and climate extremes in terms of processes, modeling and analysis
Understanding uncertainties associated with modeling and analyzing extremes
Insights into the IPCC assessment reports
Understanding risks associated with weather and climate extremes

Contents: The course will focus on understanding, modeling and analyzing weather and climate extremes and associated uncertainties. Processes that generate weather and climate extremes and methods for detecting and attributing extremes will be addressed. Insights from the latest assessment of the IPCC with regard to weather and climate extremes will be discussed. The course will also provide knowledge on compound events and risks related to weather and climate extremes.

Didactic concept:
The course consists of lectures and exercises. In the exercises, techniques for analyzing weather and climate extremes are explained and applied. The exam consists of a presentation that each student must give during the semester and a homework assignment (report) in which the course content and techniques from the exercises are to be applied and implemented. Regular participation in the course during the semester is a prerequisite for passing the course.

Educational Concept: Lecture + practical course (2 SWS)

Language: English

Course Lecturer: J. Sillmann,L. Brunner

Course Number: ICSS-M-2.1.2 (63-516) 

Title: Numerical Weather Prediction 

Educational Concept: Lecture + practical course (4 SWS)

Language: English

Credit Points: 6

Course Lecturer: N. Zagar, S. Vasylkevych

Learning objectives: Numerical Weather Prediction (NWP) is the key mission of meteorology. NWP is the initial-value problem solved by the data assimilation and extrapolated in time with a numerical model describing the atmosphere as faithfully as possible. This course provides training in data assimilation, NWP model formulation and predictability. Mathematical formulation of the initial-value problem is complemented by practical exercises with numerical models of different complexity that simulate processes in the atmosphere (but also in the climate system) as an initial and (or) boundary value problem.
Knowledge and understanding include atmospheric observations, a hierarchy of data assimilation methods, formulation of numerical prediction models, preparation of reanalysis data, theoretical and intrinsic predictability across scales, ensemble forecasting, and interpretation of the outputs of numerical prediction models. Student develops understanding of various components of the NWP models and how they contribute to reliability of model forecasts, and the observations, modelling and uncertainties behind the reanalysis datasets.

Didactic concept: Requirements: Mandatory: basics of Newtonian physics and linear algebra
Recommended: atmosphere or ocean dynamics, numerical modelling of geophysical fluids, interest in weather forecasting.
Lectures and exercises based on numerical labs of various complexity. Each lab covers some aspects of lectures and students perform simple numerical experiments under the guidance of a teacher, prepare their answers to questions, and write brief reports.

Literature: 

E. Kalnay: Atmospheric modelling, data assimilation and predictability. Cambridge university press 2003.
Selected parts of Lecture notes for ECMWF training courses, by different authors. http://www.ecmwf.int/newsevents/training
Lecture notes

Module abbreviation:
MET-M-ACE-NP

Additional examination information:
Students are expected to submit a written report for each mandatory lab (5-6 labs). Reports are graded and their average grade is the final grade of the course.
Students are given an opportunity of oral exams for higher grade if requested.

See Module Handbook M.Sc. Atmospheric Science.

Course Number: ICSS-M-2.1.2 (63-527) 

Title: Data Analysis in Atmosphere and Ocean using Python

Educational Concept: Lecture + practical course (4 SWS)

Language: English

Credit Points: 6

Course Lecturer: S. Vasylkevych

Comments/contents: Introduction to Python and basic plotting.
Accessing, manipulating and visualising geophysical data in NetCDF format (xarray, cartopy).
Basic statistical concepts and statistical data analysis: random variables, distributions, PDF, CDF, averages, mean, median and mode; standard deviation and variance, moments, quartiles, skewness and curtosis. measurement error and central limit theorem.
Parameter estimation and curve fitting. Linear regression. Correlations. Bias and variability.
Plotting statistical data.
Statistical tests: Statistical significance. Student’s, Pearson’s and Spearmen’s tests.
Spectral and time-frequency analysis.
Analyzing the spatial and temporal variability of geophysical fields: empirical orthogonal functions (EOFs) and singular value decomposition (SVD).
Introduction to machine learning with scikit-learn and TensorFlow. Overview of machine learning landscape: types of machine learning systems, deep and shallow learning, machine learning algorithms and packages. Model evaluation, cross-validation and optimization.
Shallow learning algorithms:random forest, decision trees, support vector machines, xgboost, gradient boost.
Deep learning with Tensor Flow and Keras. Basics of deep learning: neural networks, hidden layers, activation functions. Defining network architecture, Improving the model’s performance. Customizing the model.

Learning objectives: The course provides an introduction to data analysis targeted at students, who plan career in meteorology, oceanography, or climate science. The course emphasizes hands-on approach oriented at solving most common data analysis tasks encountered in weather and climate studies. Python will be used throughout as a numerical tool of choice. To make the course self-contained, a brief introduction to Python will be provided. The students will learn various techniques and tools used to analyze, interpret and visualize atmospheric and oceanic measurements as well as output of numerical models.

Didactic concept: The course is taught through lectures and guided exercises given in the Labs and homework problems. Each lab covers some aspects of lectures and students perform simple data analysis and processing tasks under the guidance of a teacher, prepare their answers to questions, and write brief reports.

Literature: 

Aurélien Géron (2019), Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow, ORiley 2nd Edition.
Robert Johansson. Numerical Python : Scientific Computing and Data Science Applications with Numpy, SciPy and Matplotlib, 2nd Edition, Apress, Berkeley, CA, 2019;
Hakan Alyuruk , R and Python for oceanographers : a practical guide with applications, Elsevier, Amsterdam, 2019.
Various online resources

Additional examination information: 

Students are expected to submit a report for each mandatory homework set (4-5 sets). Reports are graded and their average grade is the final grade of the course. Students wishing to improve their grade can take a final exam in the form of lab programming session.

Course Number: ICSS-M-2.2.7 (63-318) 

Title: Script based data analysis in soil science 

 Educational Concept: Practical course/lab (2 SWS)

Language: English

Credit Points: 3

Course Lecturer: D. Holl

Course Number: ICSS-M-2.3.5 (63-945) 

Title: Soils and Land Use of Wetlands 

Learning Outcomes: Students have gained knowledge about the genesis, properties and functions of hydromorphic soils of marshes and peatlands in the coastal lowlands of Northern Germany. They have developed their understanding of how landscape development, geomorphology, hydrology, and land use are interlinked with the diversity and distribution of wetland soils. Students are able to evaluate the ecological and economic functions of wetlands and their response to land use and climate changes.  

Contents: Landscape development of the coastal lowlands of Northern Germany; geologic processes during Pleistocene and Holocene; geomorphology of marshes and river floodplains; land use history, diking and agriculture; soils of tidal flats and different marsh types; soils and vegetation of bogs and fens; German, US and international soil classification systems; ecological and economic functions; impact of past and present land use and climatic changes. 

Educational Concept: On-site internship and seminar

Language: English

Formal Requirements for Participation: None

Recommended Prerequisites: Basic knowledge of soil science

Exam Framework:

• Type: Joint track exam
• Requirements for registration: Active participation, field protocol (5 pages) 
• Language: English

Credit Points: 3

Workload:

• Campus Study: 35 hours
• Self-study: 30 hours
• Exam Preparation: 25 hours

Course Type and Usability: Elective for M.Sc. ICSS; open for students of related M.Sc. programs, dependent on capacities and schedule.

Frequency of Offer: Annually in the summer semester

Duration: Block course

Module Coordinator: Track coordinator biogeochemistry

Course Lecturers: L. Kutzbach, A. Hadenfeldt

Literature: Will be announced during the course.

Course Number: ICSS-M-2.3.5 (63-923) 

Title: Environmental application of nitrogen stable isotopes in coastal systems 

Educational Concept: Field course and seminar

Language: German

Credit Points: 3

Course Lecturers: K. Dähnke, T. Sanders

Course Number: ICSS-M-2.3.5 (63-316) 

Title:  Soils in the Landscape: Soil Survey

Educational Concept: One-site internship

Language: German

Credit Points: 3

Course Lecturer: L. Kutzbach

Course Number: ICSS-M-2.3.1 (63-313) 

Title: Soil, Water and Vegetation Processes and Their Coupling to the Atmosphere 

Learning Outcomes: Students have knowledge of the biogeochemical and biophysical processes in soils and the vegetation, and their interaction with the atmosphere. They will obtain a good scientific basis for both measurement- and model- based studies of the coupled processes of soils, vegetation and atmosphere. 

Contents: Atmospheric boundary layer characteristics, wind and turbulence mass and energy exchange; aeolian transport and deposition of elements; soil energy budget; soil water dynamics; plant-soil-microorganism interactions; soil organic maker processes, organic maker humification and mineralization, heterotrophic respiration; soil methane cycle: production, oxidation and soil-atmosphere transport mechanisms; lateral transport of carbon and nutrients; soil-vegetation-atmosphere water and carbon exchange processes, evapotranspiration, photosynthesis, autotrophic respiration; instrumentation for biometeorological measurements (e.g. closed chambers, eddy covariance method, isotope analyses). 

Educational Concept: Lectures with short group work exercises (2 SWS).

Language: English

Formal Requirements for Participation: None

Recommended Prerequisites: Basic knowledge of soil science and/or plant ecophysiology and/or meteorology

Exam Framework:

• Type: Joint track exam
• Requirements for registration: Active participation in exercises
• Language: English

Credit Points: 3

Workload:

• Campus Study: 28 hours
• Self-study: 32 hours
• Exam Preparation: 30 hours

Course Type and Usability: Elective for M.Sc. ICSS; open for students of related M.Sc. programs, dependent on capacities and schedule.

Frequency of Offer: Annually in the summer semester

Duration: One semester

Module Coordinator: Track coordinator biogeochemistry

Course Lecturers: L. Kutzbach, C. Knoblauch 

Literature: Will be announced during the course.

Course Number: ICSS-M-2.3.5 (63-952) 

Title: Estimating Sustainability 

Learning Objectives: 

Exploring sustainability with special attention to land use and climate change

Contents: 

This course addresses the sustainability of human activity, e.g. for provision of food and ecosystem services, sustainable land use for food, water and energy production.

Educational Concept: Lecture + practical course

Language: English

Credit Points: 3

Hours per Week: 2

Course Lecturer: U. Schneider

Course Number: ICSS-M-2.4.4 (63-953) 

Title: Integrated Climate-Economic Modeling 

Learning Objectives: The students know (1) the functioning principles of coupled climate-economy models, including land use modules, (2) key results from climate economics on efficient allocation of adap-tation or mitigation efforts and can (3) communicate with students of macroeconomics about elementary topics of climate economics in the economists’ vocabulary from a natural scientist’s point of view.

Contents: The seminar provides fundamental insights in modeling concepts for integrated climate-economic analyses on how, when, and to what extent to invest into mitigation and also selected adaptation measures. Key analyses of the efficient use of mitigation and selected adaptation options are highlighted in seminar presentations. In this context the necessary modeling tools are introduced including agro economic approaches.

Educational Concept: Lecture + practical course (2 SWS)

Language: English

Credit Points: 3

Course Lecturer: H. Held

Course Number: ICSS-M-2.4.5 (63-955) 

Title: Climate Communication

Educational Concept: Seminar (2 SWS)

Language: English

Credit Points: 6

Course Lecturer: M. Brüggemann

Course Number: ICSS-M-2.4.5 (63-958) 

Title:  Interactions between natural and social Systems 

Educational Concept: Lecture (2 SWS)

Language: English

Credit Points: 3

Course Lecturers: L. Borchert, J. Sillmann

Course Number: 23-31.34.251

Title: Sustainability Innovation Lab 

Educational Concept: Seminar (2 SWS)

Language: English

Credit Points: 6

Course Lecturer: C. Kannegießer

Course Number: 24-504.35

Title: Whose Knowledge Counts? Accounting for Diverse Ways of Knowing in a Changing Climate 

Educational Concept: Seminar (2 SWS)

Language: English

Credit Points: 6

Course Lecturer: E. G. Gresse

Course Number: ICSS-M-2.1.3 (63-950) 

Title: Climate Study Project

Educational Concept: Project (10 SWS)

Language: English

Credit Points: 15

Course Lecturer: C. Beer

Course Number: ICSS-M-2.1.3 (63-744) 

Title:  Specialization and project planning (Seminar)

Educational Concept: Seminar (1 SWS)

Language: German/English

Credit Points: 3

Course Lecturers: J. Baehr, D. Notz

Course Number: ICSS-M-2.1.3 (63-960) 

Title: Master your thesis (Seminar) 

Contents: 

The course will be there to go along with your current thesis efforts. The aim is to provide helpful input and to discuss common problems concerning the scientific synthesis and scientific writing of your thesis. We will also talk about career options (PhD or not?), CV preparations, job applications etc. Throughout the class, we will cover topics that are essential for scientific work, such as "planning your thesis", "thesis structure", "managing literature", "stress management", "receiving and giving feedback", and others. Every student in the class (or pairs of two, depending on the number of registrations) will prepare a presentation on one of the topics, based on literature provided in the class and their own research. These presentations will go hand in hand with discussion rounds featuring the students and teachers in the class, to help distill the practical implications of the inputs. The idea on the thesis writing and synthesis part is to discuss topics at the ‘living’/‘real’ example. That is the course benefits from the individual examples of the participants. We do ask you to come prepared to the seminar slots and take part in the discussions. We might also set up a tool (mattermost) to discuss between seminars. Grading of the class will be based on the presentations given during the semester. There will also be the opportunity to contribute an (ungraded) piece to a collection of advise for future generations of early career researchers.

Educational Concept: Seminar (2 SWS)

Language: English

Credit Points: 3

Course Lecturers: J. Baehr, L. Borchert, M. Klockmann