Vorlesungsverzeichnis

Applied Statistical Data Analysis (Vorlesung)

Inhalt: Comprehensive analysis of data using Python. The lecture will present and discuss general examples on the language Python, statistical models, data preparation, creation of functions, graphical representations and other essentials of Python.

Masterprogramm Management: Management & Data Science - Pflicht- und Wahlmodule - Applied Statistical Data Analysis

Promotionskolloquium der Fakultät Nachhaltigkeit (Kolloquium)

Dozent/in: Henrik Wehrden

Bachelor Thesis (Vorlesung)

Dozent/in: Henrik Wehrden

Termin:
14-täglich | Montag | 16:15 - 17:45 | 14.10.2024 - 31.01.2025 | C 40.501 Seminarraum

Inhalt: 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.

Methods in Sustainability Science (Vorlesung)

Dozent/in: Dagmar Berg-Mölleken, Henrik Wehrden

Termin:
wöchentlich | Montag | 11:50 - 14:05 | 14.10.2024 - 31.01.2025 | C 40.501 Seminarraum

Tutorial I Modul Bachelor Thesis - in English (Tutorium)

Dozent/in: Henrik Wehrden

Termin:
14-täglich | Montag | 16:15 - 17:45 | 21.10.2024 - 31.01.2025 | C 40.501 Seminarraum

Inhalt: In addition to the lectures, this tutorial gives you the opportunity to ask questions, discuss your topic ideas in groups, address any thesis struggles and to present your (planned) work to each other in order to receive feedback and specific help from your peers and the tutor. Experience has shown that this structured accountability-like tutorial makes it easier to get started and stay on track so that you can get through the Bachelor's thesis process as successfully as possible. The tutorial is designed in such a way that you can benefit from it no matter which phase of the thesis (planning) you are currently in. There is an additional "Writing Tutorial" every two weeks that you can sign up to. Here, we will exclusively focus on getting into writing/researching in a productive atmosphere. The tutorial is accompanied by the following article on the Sustainability Methods Wiki: https://sustainabilitymethods.org/index.php/How_to_write_a_thesis (ideally check out the first paragraphs prior to the tutorial), as well as uploaded documents here on MyStudy.

Tutorial Modul Bachelor Thesis - focus: writing your thesis (Tutorium)

Dozent/in: Henrik Wehrden

Termin:
14-täglich | Montag | 12:15 - 13:45 | 28.10.2024 - 31.01.2025 | C 40.255 Seminarraum

Inhalt: This tutorial should be used as a fixed framework for independent work on the Bachelor's thesis, to ask questions and receive concrete help from your peers and the tutor. Experience has shown that this makes it easier to get started and stay on track so that you can get through the Bachelor's thesis process as successfully as possible. The tutorial is designed in such a way that you can benefit from it no matter which phase of the thesis (planning) you are currently in. The tutorial will be accompanied by the following Sustainability-Methods-Wiki article: https://sustainabilitymethods.org/index.php/How_to_write_a_thesis

Tutorium II im Modul Bachelor Thesis - auf Deutsch (Tutorium)

Dozent/in: Henrik Wehrden

Termin:
14-täglich | Montag | 12:15 - 13:45 | 21.10.2024 - 31.01.2025 | C 40.255 Seminarraum

Inhalt: Ergänzend zu den Vorlesungen, gibt dieses Tutorium die Möglichkeit, die jeweiligen (selbstgewählten) Themen in Gruppen zu diskutieren, Fragen zu stellen und die geplante Arbeit gegenseitig zu präsentieren, um Feedback und konkrete Hilfestellung von Ihren Kommilitonen und dem Tutor zu erhalten. Die Erfahrung hat gezeigt, dass dies den Einstieg und das Durchhalten erleichtert, um die Bachelorarbeit möglichst erfolgreich durchlaufen können. Das Tutorium ist so konzipiert, dass Sie davon profitieren können, unabhängig davon, in welcher Phase der Arbeit (Planung) Sie sich gerade befinden. Das Tutorium wird durch den folgenden Sustainability-Methods-Wiki-Artikel begleitet: https://sustainabilitymethods.org/index.php/How_to_write_a_thesis

Applied Statistical Data Analysis (Übung)

Dozent/in: Henrik Wehrden

Termin:
wöchentlich | Donnerstag | 10:15 - 11:45 | 14.10.2024 - 31.01.2025 | C 40.152 Seminarraum

Inhalt: Comprehensive analysis of data using the Python programming language. The tutorial will focus on practical application of Python to solve data analysis problems, such as statistical modeling and model selection, data preparation, creation of functions, graphical representations and other essentials of the Python language. The didactical concept is to provide the required background knowledge of solving a particular problem 'as we go', i.e. there will usually be a combination of theory input, worked examples, and practical excercises. Note that this is not your programming 101 course, so the focus will be less on coding per se, but on understanding the statistical concepts required for data analysis using Python.

Masterprogramm Management: Management & Data Science - Pflicht- und Wahlmodule - Applied Statistical Data Analysis

Scientific methods – different pathways to knowledge (Vorlesung)

Dozent/in: Charlotte Gohr, Henrik Wehrden

Inhalt: Die Vorlesung bietet einen breiten konzeptionellen und historischen Überblick über wissenschaftliche Methoden. Beginnend mit den epistemologischen Grundlagen verschiedener methodischer Ansätze und Fächerkulturen wird die wachsende Diversität von Methoden erläutert. Gleichzeitig wird das inter- und transdisziplinäre Grundverständnis der Leuphana so erläutert, und anhand von soliden Grundprinzipien der Methodik wie z.B. Bias oder kritische Reflexion die Grundlage für die methodische Fokussierung im Major und Minor erläutert. Anhand von praktischen und interaktiven Aufgaben werden Methoden erfahrbar, und die Lernenden generieren so erste Daten aus sich selbst heraus. The lecture offers a broad conceptual and historical overview on scientific methods. Starting with the epistemological fundamentals of diverse methodological approaches and disciplines, the increasing diversity of methods is explained. At the same time, the inter- and transdisciplinary path at Leuphana is exemplified, and the fundamental principles of scientific methodology (such as bias or critical reflection) as well as the methodological focus of Major and Minor courses are illustrated. Methods are made tangible through practical and interactive tasks and the students generate first data by themselves.

Wissenschaftliche Methoden— Unterschiedliche Wege zum Wissen (Vorlesung)

Dozent/in: Charlotte Gohr, Henrik Wehrden

Inhalt: Die Vorlesung bietet eine breiten konzeptionellen und historischen Überblick über wissenschaftliche Methoden. Beginnend mit den epistemologischen Grundlagen verschiedener methodischer Ansätze und Fächerkulturen wird die wachsende Diversität von Methoden erläutert. Gleichzeitig wird das inter- und transdisziplinäre Grundverständnis der Leuphana so erläutert, und anhand von soliden Grundprinzipien der Methodik wie z.B. Bias oder kritische Reflexion die Grundlage für die methodische Fokussierung im Major und Minor erläutert. Anhand von praktischen und interaktiven Aufgaben werden Methoden erfahrbar, und die Lernenden generieren so erste Daten aus sich selbst heraus.

Methods of Environmental Sciences (Vorlesung)

Dozent/in: Henrik Wehrden

Termin:
wöchentlich | Donnerstag | 14:15 - 15:45 | 14.10.2024 - 31.01.2025 | C HS 1

Inhalt: The module conveys basic knowledge and practical research examples through which the diversity of methods available in environmental & sustainability science is exemplified and contextualized. The module presents an overview of approaches to obtain, analyse and interpret data within science, and embeds these into a broader ontological framework. While the focus is generally on how methods can aid and enable the production of knowledge, a connection to the history of science, including the origin and development of each specific method is part of the lecture.

Qualitätszirkel Management & Data Science (Studienbegleitende Veranstaltung)

Dozent/in: Ulf Brefeld, Paul Drews, Burkhardt Funk, Andreas Möller, Peter Niemeyer, Kathrin Padberg-Gehle, Ricardo Usbeck, Henrik Wehrden

zusätzliche Angebote - Qualitätszirkel - Graduate School

Vorlesungsverzeichnis

Veranstaltungen von Prof. Dr. Henrik Wehrden

Lehrveranstaltungen

Applied Statistical Data Analysis (Vorlesung)

Promotionskolloquium der Fakultät Nachhaltigkeit (Kolloquium)

Bachelor Thesis (Vorlesung)

Methods in Sustainability Science (Vorlesung)

Tutorial I Modul Bachelor Thesis - in English (Tutorium)

Tutorial Modul Bachelor Thesis - focus: writing your thesis (Tutorium)

Tutorium II im Modul Bachelor Thesis - auf Deutsch (Tutorium)

Applied Statistical Data Analysis (Übung)

Scientific methods – different pathways to knowledge (Vorlesung)

Wissenschaftliche Methoden— Unterschiedliche Wege zum Wissen (Vorlesung)

Methods of Environmental Sciences (Vorlesung)

Qualitätszirkel Management & Data Science (Studienbegleitende Veranstaltung)