| Lecturer | Prof. Dr. J. Grammig M. Sc. Miriam Sperl |
| Profiles | 3. year B. Sc., 1. year M. Sc. |
| Prerequisites | Mathematics for Economics and Business Administration |
| Language | English |
| Time and Place | Tuesday 2-4 p.m. E03, Mohlstraße 36 |
| Exam | written exam |
| Credit Points | 7.5 ECTS 5 LP |
| Course Ref. No. | S313 |
Practical class
The practical class introduces students to the application of multivariate methods in finance and marketing using the software package SAS. By means of various case studies, students learn how to choose and implement the appropriate multivariate methods, how to handle data correctly and how to interpret and question results critically.
- Organization
The practical class is organized in two groups (group I and II) with a maximum number of participants of 28 each with both groups covering exactly the same material. Practical classes take place on Tuesdays from 4 to 6 p.m. at fortnightly intervals.
The assignment sheets are dedicated to the various multivariate methods covered in the lecture and will be provided on the platfrom Ilias in sufficient time prior to the respective practical classes. Students are asked to prepare for the practical classes in order to take the chance to discuss problems that may have arisen.
Course material
The course material for the lecture and the practical class can be downloaded as from the first week of the winter term from Ilias .
Further Information
| 20.10.2009 | A list of participants for the practical classes can be downloaded here. Although overbooked, we will start the practical classes with everybody on the list. In the case that anybody on the list decides to skip the course in the meantime, please let me know such that I can take him/her off the list. |
| 19.10.2009 | A timetable for the lecture and the practical class can be downloaded here. The lecture notes for the first lecture can be downloaded here. |
| 28.09.2009 | Registration for the practical courses is possible in the first lecture on Tuesday, 20th of October 2009. Registration for the lecture is not necessary. |