Methodology at Leuphana

Current Courses

Prof. Dr. Henrik Wehrden

Mathematics and Statistics

The lecture is a the main basis of gaining an understanding of quantitative analyses in environmental and sustainability science as part of the module. The lecture is structured into five parts. 1) A basic introduction, including a recap of descriptive statistics, and a quick overview on data formats, data distribution and simple tests. 2) Correlations and linear models as a pivotal part of the analyses of continuous data. 3) Analyses of variance, allowing designing simple experiments and for comparing variance among different groups. 4) A quick overview of different types of experiments, and a short discussion of the normative dimensions of statistics. 5) A glimpse on Advanced statistics, including ethics and a look at future statistics.

The lecture is the main basis of information -building on a flipped classroom format between videos and a central WIKI-, and the associated tutorials are intended to deepen the understanding on the different topics and provide applied skills and knowledge. The Wiki serves as a theoretical basis, the videos provide focussed explanations, which can be considered a basis for further research projects and your thesis, should you choose to work with quantitative methods. The tutorials repeat the respective content and provide a learning experience in R.

Attending the lecture will be your best basis for gaining knowledge, and will increase your chances on passing the exam with a decent grade.

Ziel: This lecture is intended to enable students to have a basic understanding of statistics and mathematics in order to be able to design their own research projects.

Bachelor Thesis

This module supports you in the process of writing your bachelor thesis. While the lecture builds on a flipped classroom concept, it will be widely framed around the questions of the audience regarding the specific slots. The lecture thus helps you to find a topic, supervisors, and how to communicate with them. You will get input on time management, how to tame a topic, define research questions of hypotheses, research literature, and write a glossary. An additional emphasis will be set un creating methodological designs, pitfalls of research, and establishing a routine. We also give you help on how to overcome writer's block, norms and standards of science, and how to submit and defend your thesis. All individual steps will also be discussed more hands on in the tutorials.

Ziel: Vorlesung, Tutorium sowie der moodle-Kurs zielen darauf ab, den Prozess des Schreibens der Bachelor-Arbeit in allen Phasen von Beginn an bis zur Abgabe der BA-Thesis zu begleiten.

GOAL

The lectures, the tutorials as well as the moodle course aim to support the process of writing a bachelor’s thesis from start to submission.

Reflecting Interdisciplinarity

What makes a good scientist?

The content of this course is twofold. First, it serves as a canvas to paint a picture of the landscape that scientists operate in. Second, the course aims to frame the responsibility we all have as scientists as scientists as something concrete that is an everyday practice. Instead of being detached and unconnected science today is very much part of society, and constantly interacting within society.

Ziel: Within the course, we plan to map the perceptions of participants of the scientific system we operate in, and also to find leverage points in how we can create transformational change within the system. The aim is to identify concrete tools but also identify limitations and a more concrete understanding of time as a measure of change. Participants can ideally take small steps towards a better understanding of their role in science, but concerning challenges, but also regarding responsibilities.

Introduction to statistics (PhD)

Introduction to statistics

Ziel: Ability to analyse data in R

Current Courses