course-schedule

From Walk and talk to WALK THE TALK - Cultivating an entrepreneurial mindset (Seminar)

Inhalt: **Attention: this is a course open to doctoral candidates as well as Master's students in complementary studies. This results in the fixed time slots in the morning.** This course works towards the temporary exhibition “the beauty of transformation”, as a particular way of science communication, to be opened June 21st at the transformation::spaces for future-oriented learning at Leuphana University. The course has the development of an entrepreneurial mindset in focus (not the development of business plans!) and sheds light on potentially less heard of methods (such as applied by, e.g., Theo Aalders and Kate Monson). Community action serves as a source of empowerment and gives the opportunity to practice impactful stakeholder engagement. Inspired by Theory U, methods for introspection are introduced and students´ self-exploration is the baseline for further action. Inner development goals are the point of departure for collaborative community action. Students will make the experience of an Inside Out Group Action (The Economy – it is us!), reflect about their stakeholder engagement experience and derive lessons and ideas for own projects with transformative potential. Audio-visual or similar project outputs are presented in the last seminar session and receive a stage at the exhibition “the beauty of transformation”. The transformation::spaces for future-oriented learning are there to be used for the exploration of one´s entrepreneurial actions throughout the semester. Students will learn how to relate to oneself (intrapersonal competency) as a foundation for collaboration with peers, learning facilitator(s), and stakeholders (interpersonal competency), via methods such as Photovoice and the evolving hosting transformation toolbox. “Walk and talk” is taken literally, hence, part of the course will take place outdoors.

Introduction to statistics (Seminar)

Dozent/in: Henrik Wehrden

Inhalt: Introduction to statistics

Methoden-Training – ein Vorbereitungskurs in der quantitativen Forschung (Seminar)

Dozent/in: Oliver Hormann

Termin:
14-täglich | Freitag | 15:00 - 18:00 | 14.04.2023 - 07.07.2023 | C 12.108 Seminarraum

Inhalt: Die Veranstaltung bietet eine Übersicht mit den methodologischen und methodischen Grundlagen der quantitativen Forschung und Fragebogengestaltung sowie eine SPSS-basierte Einführung in varianz- und regressionsanalytische Auswertungsverfahren). Der Kurs findet in 7 Blöcken über das Semester verteilt statt und dient der promotionsspezifischen Vorbereitung auf die empirische Bearbeitung einer quantitativen Fragestellung.

Qualitative Research Methods (Seminar)

Dozent/in: Markus Reihlen

Inhalt: Qualitative research is a research strategy that emphasizes large bodies of unstructured data (textual, graphical, audio, and video data) that cannot be meaningfully analyzed by formal, statistical approaches. Despite differences, qualitative research approaches share at least the following two assumptions: (1) by systematically generating and analyzing data new theory can be discovered (inductive view), and (2) this theory stresses the understanding of the socio-economic world through an examination of interpretation of that world by its participants. Since each particular research method is informed by different philosophical traditions, this course will first introduce different perspectives on the socio-economic research process like positivism, interpretativism, realism, and postmodernism. Students will then learn how to set up a qualitative research project with particular emphasis on the case study approach. Case studies offer rich, empirical descriptions of particular examples of a phenomenon that are typically based on a variety of data sources. The case-study method involves using one or more cases to create case-based, empirical evidence used for a subsequent theory building. In order to build theory from case study data, students will be made familiar with the grounded theory, which is a general method of comparative analysis for qualitative data. The idea of the grounded theory is to develop theoretical categories, propositions, and mid-range theories based on a particular inductive method for qualitative data analysis. This data analysis is greatly supported by different software packages. While the course will provide an overview of existing software programs, students will be introduced in particular to the Atlas.ti platform. The course is designed as a doctorate workshop. Throughout the course, initiative, creativity, and critical thinking on part of the students will be appreciated and encouraged.

Think Mathematically, Act Algorithmically: Optimization Techniques (Seminar)

Dozent/in: Paolo Mercorelli

Inhalt: MATLAB is a platform for scientific calculation and high-level programming which uses an interactive environment that allows to conduct complex calculation tasks more efficiently than with traditional languages, such as C, C++ and FORTRAN. It is the one of the most popular platforms currently used in the sciences and engineering. Optimization techniques can be applied in a wide interdisciplinary range of applications in control, estimation and identification problems. Using Matlab, the course embraces the most important optimization techniques and methods which can be used in control systems. The proposed techniques, e.g. Model Predictive Control, Two Point Boundary Optimization Problem, etc. are implemented using Matlab/Simulink. Through discussions on the mathematical origin of the proposed techniques and methods and their inspiring ideas the students should reach, not only a good command on the software, but also a critical spirit to interpret the nature of the algorithms and to reflect on their foundations and structures.

Course Schedule

Lehrveranstaltungen

From Walk and talk to WALK THE TALK - Cultivating an entrepreneurial mindset (Seminar)

Introduction to statistics (Seminar)

Methoden-Training – ein Vorbereitungskurs in der quantitativen Forschung (Seminar)

Qualitative Research Methods (Seminar)

Think Mathematically, Act Algorithmically: Optimization Techniques (Seminar)