“Marketing Research, whether basic or applied, is designed to solve problems.“Richard P. Bagozzi
To be prepared for the seminar, students need to read up on central topics of the related network science literature. These references are listed in the forthcoming syllabus. Students are encouraged to present “work in progress”.
Prof. Dr. Claudio J. Tessone
PhD students at the Faculty of Economics, Business Administration and Information Technology
Work load statement:
The amount of work to be invested in the seminar corresponds 60 hours per semester
Expected number of students:
Depending on the area of the master, diverse prior knowledge in some of the following topics is desiderable: statistics, mathematical modelling, agent-based modelling, graph theory, game theory, statistical physics. Prior to the seminar, students must read up on central topics in the related literature: As the topic covers different disciplines (statistics, mathematics, physics, computer science, economics, etc), prior knowledge on the topic in at least one of these areas is required.
Fall Semester 2019: 8.10(exceptionally at 16:00 - 17:00), 22.10, 5.11, 19.11, 10.12.2019
Spring Semester 2020: 18.2, 3.3, 17.3, 31.3, 14.4, 28.4, 12.5, 26.5.2020
19.02, 05.03, 19.03, 09.04, 16.04, 30.04, 07.05, 21.05, 28.05.2019
9.10, 23.10, 6.11, 20.11, 4.12.2018
The application for this seminar is compulsory. Please, send your application to email@example.com
Don’t forget to officially register yourself using the registration tools at the University of Zurich AFTER you have received our informal acceptance notification. Booking the seminar without a positive confirmation from our Chair is not implying the right to attend the course. In this case the course will be graded as failed.