we offer various courses and theses for both bachelor and master students in the field of data analytics. The following points out the basic ideas behind our teaching und supervision in order for you to better understand what to expect.
Objective: The superficial objective is to teach the principles of data analytics, our area of expertise. We feel this is the minimal objective which equips the students with tools to analyse data in various domains. Since these tools are inevitable to actually practice data analysis, this goal is particularly important to us. However, we also aspire to help learn why research is important and what research questions are worth following. This not only prepares the students for seminar, bachelor’s, and master’s theses but, more importantly, allows to contribute to research.
Intensity: The courses will most likely be relatively intense but, hopefully, rewarding for the majority. That is because the minimal objective of equipping students with data analytics tools requires to cover topics in basic math but also in programming.
Recommendation: If you take one of the courses, almost certainly, there will be programming exercises involved. Try to keep up solving and understanding them. The exercises are made to strengthen the understanding of the concepts taught in the lectures and are very closely following typical data analytics pipelines.
|Business Analytics: Technologien, Methoden und Konzepte [BA]||
Lecture + Exercise, Written Exam
|Bachelor Thesis||Seminar, Thesis||15||German/English||Continuously|
|Development of Deep Vision Systems [DEEPVIS]||
Lecture + Exercise, Project Seminar
|Natural Language Processing for Business Analytics [NLP4BA]||Lecture + Exercise, Project Seminar||5||English||Winter Term|
|Business Analytics: Case Studies [BACS]||Lecture + Exercise, Project Seminar||5||English||Summer Term|
|Business Analytics: Research Seminar [BARS]||Research Seminar||5||English||Summer/Winter Term|
|Master Thesis||Seminar, Thesis||30||German/English||Continuously|