Course Schedule

Course Schedule

Veranstaltungen von Martin Jan-Ulrich Kohler

Lehrveranstaltungen

Understanding Knowledge (Seminar)

Dozent/in: Veronica Bremer, Jakob Dirksen, Susanne Draheim, Martin Jan-Ulrich Kohler, Yuca Meubrink

Inhalt: Understanding knowledge is about science theory, about what can be considered knowledge and methods to acquire knowledge, but this course does not happen in a theoretical abstractum. We will discuss the different modes of knowledge production within the context of the city. The city - or rather urban systems - are the most complex structures that ever have been built by human mankind. Although “built” is a misleading term for the multifold and interdependent processes on macro-, meso- and microlevels that shaped the urban situation(s) over thousands of years. Rationalized planning is only one path in the production of the urban and given the reality of cities in time and over the planet, the most marginal one. Topographic details, climate, the networks of rivers, roads and ports, market forces, building technologies, social conflicts and developments, globalization and political developments on all scales have impacted the way any certain site in any city did get shape. The city is the product of a plethora of parallel and interdependent processes over time and scale - and thus their disciplinary representatives in terms of interpretation and creation. Additionally, “the city” is as much a site of stones and architecture as it is a place of narratives and myth - and the framing conditions for human action. As any social system, the city has to be approached as hypercomplex systems. Without using as many disciplines as possible and necessary there is not even a problem visible waiting to be solved. Only the intelligent use of different analytical and generative layers can help to understand and influence any given site as place where people live. Almost every problem you can find in the urban world, will require many disciplines to understand, evaluate, judge and solve them. Therefore it is a perfect arena to test our thoughts and ideas on scientific knowledge production.

Leuphana Bachelor - Major Studium Individuale - Understanding Knowledge

Machine Learning Lab (Seminar)

Dozent/in: Martin Jan-Ulrich Kohler, Ricardo Usbeck

Inhalt: Address a learning task in a data-driven fashion. After reviewing related work, you'll formalize the problem, derive an appropriate method to solve the problem, implement the method, define an experimental setup, identify relevant baselines and empirically evaluate your approach. The learning task can be arbitrarily defined. We provide fallback problems but bringing you idea(s) and/or data is more than welcome! The final report will be a poster in a mini conference. We'll have milestones where progress is reported in short presentations. Possible projects include: * Work on our kodama platform for the Creative Space for Artificial and Human Intelligence, i.e., develop a module for a speaking lab assistant (with Martin Kohler) * Develop an AI-based cat-bot/co-bot based on a Kuka-like robot arm, which sees people and interacts with them * City planing in Hanseviertel (with Max Werner) * Develop AI for small-scale vertical farming together with the startup CubeCrop

Masterprogramm Management: Management & Data Science - Pflicht- und Wahlmodule - Research Project

Collaborative Research Project (Seminar/Projekt)

Dozent/in: Veronica Bremer, Charlotte Gohr, Martin Jan-Ulrich Kohler

Termin:
wöchentlich | Donnerstag | 10:00 - 12:00 | 14.10.2024 - 31.01.2025 | C 40.255 Seminarraum

Inhalt: In this Studium Inviduale core module, students will execute a collaborative research project addressing a question of social significance during the semester. The instructors will assist the students, working in teams, in selecting a suitable topic and in the organisation of the research process. Overall, the process is led and carried out by the students. The teams will work closely with the instructors, who will guide and support the research as supervisors, and with each other through class discussions consisting of constructive feedback. Research is here understood as the process of responding to a problem of wider relevance by contributing original knowledge to the world. By gaining practical team research experience, students develop many skills – from time management and problem solving and decision-making, to productive teamwork and the ability to communicate research results to a wider audience. With the research project, students take an important step towards making their study experience within the framework of the Studium Individuale more broadly relevant outside the curricular context. The learning objectives of this course (see below) involve both the process of research and the collaborative experience of working in a group to plan and produce a collective output. The goal of the project is to serve the participants’ different academic interests and yet bring together their varying knowledge and skills in a complementary and productive way. While the module does not train students in particular methods, class discussions will provide feedback on the appropriate and rigorous application of a selected method among many other topics. This course consists of sessions that comprise of collective peer feedback, regular consultations with the supervisors, self-study, and meetings with group members. Assignments, reading materials, and additional information will be provided via myStudy. We also encourage you to use the myStudy forum as a communication platform to exchange ideas and discuss questions regarding this course.

Leuphana Bachelor - Major Studium Individuale - Collaborative Research Project