''Marketing Research, whether basic or applied, is designed to solve problems.''

                                                    Richard P. Bagozzi

Abstract:
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”.

Instructors:
Prof. Dr. Claudio J. Tessone

Type:
Doctoral Seminar

Target Audience:

PhD students at the Faculty of Economics, Business Administration and Information Technology

Frequency:
Each semester

APS/ECTS-points:
3.0

Work load statement:
The amount of work to be invested in the seminar corresponds 60 hours per semester

Expected number of students:
20

Language:
English

Literature:
tba

Prerequisites:
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.

Grading:
Paper presentation.

Dates:
Tue, 10:15-12h
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

Past Dates:
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

Location:
Vorlesungsverzeichnis
AND 4.57

Further information:
The application for this seminar is compulsory. Please, send your application to market-research@business.uzh.ch

Registration:
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.