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| Semester | fall semester 2011 |
| Course frequency | Every fall sem. |
| Lecturers | Dietmar Maringer (dietmar.maringer@unibas.ch, Assessor) |
| Content | This course deals with practical aspects of applied quantitative research in business and economics in general and marketing in particular. Three main areas will be covered: 1. data collection (including questionnaires) 2. data analysis (including data cleaning; multivariate analysis; analysis of categorical and interval data) 3. special topics (based on students' needs and interests, this could include, but is not limited to, computationally intensive methods and data mining; graphical representation; etc.) The course combines theoretical presentations with practical applications and "hands-on" examples. |
| Bibliography | literature will be announced in the lectures |
| Weblink | Weblink |
| Admission requirements | completed BA in Business and Economics and following lecture: 12036 Econometrics |
| Course application | Course registration: please enrol in MOnA; Eucor and exchange students enrol at the Students Services at Petersplatz 1 within the registration deadline (24th October 2011). Registration = Admission to the exam |
| Language of instruction | English |
| Use of digital media | Online, optional |
| Course auditors welcome |
| Interval | Weekday | Time | Room |
|---|
No dates available. Please contact the lecturer.
| Modules |
Statistics and Computational Science Module (Master Actuarial Science) Vertiefungsmodul Marketing and Strategic Management (Master Business and Economics) |
| Assessment format | end-of-semester examination |
| Assessment details | assignment and written exam: Schriftliche Prüfung: 14.12.11, 12:15 - 14:00. WWZ S13: A-Z. |
| Assessment registration/deregistration | Registration: course registration |
| Repeat examination | no repeat examination |
| Scale | 1-6 0,1 |
| Repeated registration | as often as necessary |
| Responsible faculty | Faculty of Business and Economics , studiendekanat-wwz@unibas.ch |
| Offered by | Abt. Quant. Meth: Ökonometrie, Statistik |