Doctoral students

An ongoing or a planned research project that involves quantitative methods, such as statistics, optimization, machine learning and/or artificial intelligence.

The seminar is an associated course with the brownbag seminar “Recent Developments in Data Science".

Doctoral students provide a detailed formal discussion of a scientific talk of the workshop, e.g. by assuming a role of the discussant or in a written review. In addition, unless otherwise specified by the lecturers, doctoral students should give a scientific talk as part of the intensive ideation workshop series of the brownbag seminar “Recent Developments in Data Science”.
The scope of the required assignments is specified by the lecturers in the beginning of the course. The lecturers can also introduce further assignments or substitute the assignments stated above.
Doctoral students receive a record of their achievements in the end of the course.

2

Research articles, working papers, handout materials can be optionally distributed as supporting literature for the topics of workshop presentations.

The workshop introduces doctoral students to recent developments in the design and application of quantitative methods. It also assists doctoral students in the search for topics for own research by providing insights into open questions in the design of quantitative methods and their application in practice. Finally, doctoral students receive opportunities to get an intensive feedback on their ongoing or planned research.

1 SWS (15 h attendance and 45 h own work)
Calculation basis: 15 weeks in a semester, including an examination week; each SWS corresponds to 60 minutes.