2201 Seminar Business Analytics
Dr. Sabrina Kirrane, Univ.Prof. Dr. Axel Polleres
  • LV-Typ
  • Semesterstunden
  • Unterrichtssprache
01.09.2020 bis 30.09.2020
Anmeldung über LPIS
Hinweise zur LV
Die Lehrveranstaltung wird nur im WS angeboten.
Planpunkt(e) Master
Wochentag Datum Uhrzeit Raum
Freitag 02.10.2020 09:00 - 13:00 Online-Einheit
Freitag 16.10.2020 09:00 - 13:00 Online-Einheit
Freitag 13.11.2020 09:00 - 13:00 Online-Einheit
Freitag 13.11.2020 14:00 - 18:00 Online-Einheit
Freitag 08.01.2021 09:00 - 13:00 Online-Einheit
Freitag 22.01.2021 09:00 - 13:00 Online-Einheit

Ablauf der LV bei eingeschränktem Campusbetrieb

The format of the seminar will remain the same, however the seminar will be held in distance mode using Microsoft Teams video conferencing facilities or similar.

Inhalte der LV

The Business Analytics Seminar builds on the 'Advanced Business Analytics and Artificial Intelligence' and 'Data & Algorithmic Governance' courses in the Business Analytics competency area. Within the scope of this seminar students shall deepen their knowledge gained in the previous courses of the competence field and ideally combine them. We will suggest advanced methods and topics from current scientific research particularly also our active research which shall be worked upon in small groups or individually, with a focus on preparing students to survey and apply cutting-edge methods for business and data analytics.

Throughout the course of the seminar the students will work on a research project which brings together the content covered in these foundational courses.

The format of the seminar will be as follows:

10/02/20    9:00 AM - 1:00 PM    Introduction to the seminar by Prof. Polleres and Dr. Kirrane. Presentation of possible project topics based on the content from courses I & II. Topics will be made available via the forum on a first come first served basis or participants can choose their own topics.

10/16/20    9:00 AM - 1:00 PM    Short project pitches by participants, including details of the qualitative/quantitive analysis to be performed. 

11/06/20    Midnight    Project proposal submission deadline

11/13/20    9:00 AM - 1:00 PM    Individual project proposal presentations and feedback sessions with Dr. Kirrane.

11/13/20    2:00 PM - 6:00 PM     Individual project proposal presentations and feedback sessions with Prof. Polleres.

01/08/21    9:00 AM - 1:00 PM    Individual project consultation sessions and feedback with Dr. Kirrane & Prof. Polleres.

01/15/21    Midnight    Term paper made available for peer review.

01/21/21    Midnight    Peer review submission deadline.

01/22/21    9:00 AM - 1:00 PM    Final paper presentations and Q&A sessions by the peer reviewers.

01/29/21    Midnight    Final term paper submission deadline.

Lernergebnisse (Learning Outcomes)

After completing the seminar students will have gained a deeper, research oriented insight into applying methods of Artificial Intelligence to Business Analytics problems, with a particular focus on data and algorithmic governance.

In addition, students will have developed their critical analysis, scientific writing, communication and presentation skills in either a well-documented hands-on project or literature-based study that has to be summarized in a final seminar paper.

Regelung zur Anwesenheit

Attendance at the plenary introduction session, the intermediate meetings, and the final plenary presentations is required.  All students are expected to be present and give feedback to all the others' presentations.




This course is composed of a mixture of independent research and in-class discussion of the state of the art.

Leistung(en) für eine Beurteilung

Research proposal: 10%
Peer review: 20%
Final seminar paper: 70%

Teilnahmevoraussetzung(en) und Vergabe von Wartelistenplätzen

Already registered for course 1 (Advanced Business Analytics and Artificial Intelligence) and course 2 (Data & Algorithmic Governance) of the Business Analytics Competency Area.

! Important information !

The Covid19 pandemic causes several uncertainties for the upcoming winter semester starting on October 5th. If possible within the valid health regulations, the Information Systems program plans to fully return to the usual mode of classroom teaching with mandatory attendance. Nonetheless, an additional “plan B”-scenario for distance and/or hybrid teaching will be prepared for every class, which can be enabled if needed.

The program management will reevaluate the situation in September and decides then whether the classes will indeed start in the usual mode or in an alternative scenario. This decision will be announced in the syllabus until September 25 [for the classes starting in the mid of the semester until November 13].

We’re aware that the issue of visa is currently delayed and we’ll include this matter into our considerations. Should you be affected by such a delay, please inform us as soon as possible via

Zuletzt bearbeitet: 17.11.2020