Business Analytics: Research Seminar (Winter Term)
Business Analytics: Research Seminar (Winter Term 2022/2023)
Business analytics (BA) is a systematic approach that applies qualitative, quantitative, and statistical computational tools and methods to analyze data, gain insights, inform, and support decision-making. In this respect, methods from the field of machine learning (ML) have gained particular attention as they give computers the ability to perform tasks without being explicitly programmed to do so. Advances in ML enable the development of intelligent systems with human-like cognitive capacity that penetrate our business and personal life in every conceivable way. This is demonstrated by many diverse examples, such as fraud detection, predictive maintenance, credit scoring, next-best offer analysis, speech and image recognition, or natural language processing.
In this research seminar, students will get to know business analytics as a scientific research field. In introductory block lessons, students will learn about the process of developing research ideas, strategies to efficiently pursue these research ideas, and guidelines on how to clearly convey their ideas in a research paper. Students will also get to know the publication process of research papers. After these introductory lessons, students will jump into the shoes of reviewers. For this, each participant will choose a research paper from a given pool of papers from the fields of computer science or information systems. Each paper will then be summarized, critically reviewed, and presented by the students and discussed in detail by all participants.
Please note that the number of participants for this course is limited. Below you can find further information on the registration process. After a successful course registration, more details on course updates, course materials, technical setup, and other information will be announced in StudOn.
Learning objectives and skills
The research seminar prepares students for a master’s thesis, so that they are able to answer a concrete research question in the field of business analytics.
|Courses||Seminar: Business analytics: Theory seminar (4 SWS)|
|Lecturers||Prof. Dr. Patrick Zschech (Lecture)
Prof. Dr. Mathias Kraus (Exercise)
|Time and Location||Introductory lessons: Wednesday, tba, 15:00 – 17:00 (1 sessions à 90 min)
Presentation slots: Wednesday, 15:00 – 17:00 (8 slots à 90 min)
Location: Lange Gasse LG 5.430
For further information see schedule.
|Virtual Sessions||If Covid-19 pandemic regulations permit, the course will be held primarily in face-to-face meetings at the campus. However, the lecturers reserve the right to use virtual sessions via Zoom if necessary. For further information, please refer to the detailed schedule.|
|Recommended prerequisites||The number of participants is limited. Please register for the course via StudOn.|
|Integration in curriculum||First to fourth semester|
|Module compatibility||Master International Information Systems (from 2018/19 + 2016/17): Module in the section Seminar International Information Systems|
|Method of examination||Written review and presentation|
|Grading procedure||Written review (50%) and presentation (50%)|
|Module frequency||Each semester|
|Workload||Contact hours: 30 h
Independent study: 120 h
|Module duration||1 Semester|
|Teaching and examination language||English|
|(Recommended) reading||All relevant material will be provided during the course.|
The number of participants is limited and requires a registration via StudOn. The registration period is between September 19 – October 19, 2022. If you register before October 12 there is a higher chance of participation with early bird confirmation. In case of excess demand, participants will be selected by drawing lots. Firm confirmation of registration at the latest until October 26, 2022.
Schedule (lecture, exercise, project seminar)
Please note that the schedule is not yet finalized and we reserve the option for changes.
|CW||Organization / Lecture||Dates / Times|
|Course Registration||February 21 – April 25, 2022|