Welcome to the Chair of Marketing
Job vacation - we're hiring!
You are passionate about Data Science? You love to work with Python and R, and you are interested in shaping the way that future Data Science students learn how to use Python and R for data analysis? More details can be found here. Application Deadline: June 2, 2024.
Klausureinsicht
26.04.2024
Die Einsicht zur Klausur B220 Marketing NT WS 23/24 erfolgt am Dienstag, 07.05.2024 von 10.00 - 11.00 Uhr im U006 (Nauklerstr. 47 im UG). Die Anmeldung ist bis Montag, 06.05.2024 (10 Uhr) per E-Mail mit Angabe Ihrer Matrikelnummer an marketing@uni-tuebingen.de möglich. Nach erfolgter Anmeldung erhalten Sie eine Bestätigung per Email mit Zuteilung eines individuellen Zeitfensters. Es wird ausdrücklich darauf hingewiesen, dass die Klausureinsicht nur mit vorheriger Anmeldung möglich ist.
Exam Review
18.04.2024
Exam Review for B321K International Marketing (second exam) Winter Term 23/24 will take place on Thursday, April 25, 2024 from 9 - 10.00am sharp (FSR ground floor, Nauklerstr. 47). Registration is possible until Wednesday, April 24 (noon). Please send an email to: marketing indicating your first name/name/student ID and the name of the exam. Time slots will be coordinated individually (you will receive an email). @uni-tuebingen.de
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Exam Review for B420 Marketing-Mix Management (second exam) will take place on Thursday, April 25, 2024 from 9 - 10.00am sharp (FSR ground floor, Nauklerstr. 47). Please register for B420 by email to: marketing indicating your first name/name/student ID and the name of the exam until Wednesday, April 24 (noon). Time slots will be coordinated individually (you will receive an email). @uni-tuebingen.de
SQ700 Projektmanagement-Seminar mit Professionals aus der IT-Branche
22.02.2024
Case Study und Networking mit Professionals aus der IT-Branche
SQ700 Projektmanagement-Seminar mit itdesign +++ Anmelden und durchstarten! +++ Hier haben Sie die Möglichkeit dazu. Weitere Informationen finden Sie hier.
Anmeldeschluss am 26.05.2024
Masterarbeit im Rahmen einer Unternehmenskooperation
20.02.2024
Can Data Integration Improve Consumer Demand Planning in the Photovoltaic Industry?
- Forecasting customer demand is a critical business process in most industries. Forecasting solutions in business practice often focus on manual forecasting (“expert forecasts”) or timeseries forecasting. However, these approaches neglect the explanatory power of important external factors for customer demand and may thus lead to poor forecast accuracy in the volatile business environment of the PV industry.
- The goal of this work is to assess whether integrating internal and auxiliary data (e.g., historical data, seasonalities, expert forecasts, time series forecasts, customer demand signals, market data, price developments, Google trends, …) can be leveraged to build a feature-driven demand forecasting model and to improve the demand forecast accuracy at BayWa r.e. Solar Energy Systems.
- This thesis requires solid knowledge of and experience with R / Python as well as experience with Machine Learning.
Supervision: Prof. Dr. Dominik Papies with Dr. David Scheuermann (BayWa r.e. Solar Energy Systems)
On this page you will find all important information about the application process.
Contact
Dr. Dominik Papies
Professor of Marketing
Nauklerstr. 47
1st floor, room 111
+49 7071 29-78202
dominik.papies @uni-tuebingen.de
Program Coordinator:
Office Hours
on the time being, we have no general office opening hours. All counselling appointments are via video call. If you would like to make a Zoom appointment, please email marketing @uni-tuebingen.de
Team Assistant
Monika Burkhardt
+49 7071 29-78202
marketing @uni-tuebingen.de
Upcoming Events
Business Research Seminar Summer Term 2024
May 15, Simone Wies, Ph.D, Professor of Marketing Strategy & Performance (Goethe University Frankfurt)
Further details will be provided here.