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International Business Administration

Quantitative Methods (R-Module)

Exam number: 3272

Semester: from 1st semester

Duration of the module: One semester

Form of the module (i.e. obligatory, elective etc.): Elective

Frequency of module offer: Irregularly

Prerequisites: The number of students that can participate in this R-module is limited. If more students apply for the module, students will be chosen on the basis of their performance in previous classes. Application details will be provided on the website of the marketing chair by late March 2019.

Applicability of module for other study programmes:
Obligatory or elective in other study programmes. For further information check regulations of the study programme.

Person responsible for module: Prof. Dr. Martin Eisend

Name of the professor: Prof. Dr. Martin Eisend; Instructors: Anna Rößner, Sofiia Kanevska

Language of teaching: English

ECTS-Credits (based on the workload): 6

Workload and its composition (self-study, contact time):
Contact time (Lecture, tutorial etc.) 56,5 h; self-study: 125 h

Contact hours (per week in semester): 4

Methods and duration of examination:
Successful completion of assignments.

Emphasis of the grade for the final grade: Please check regulations of the study program

Aim of the module (expected learning outcomes and competencies to be acquired):

Professional skills/competencies:

- Participants will get an overview of the most common quantitative analytical techniques that are used in marketing.
- They will learn how to professionally analyze empirical data in SPSS dealing with marketing and management topics. They will further learn how to evaluate and interpret quantitative analysis procedures and results that are performed by scholars and by research institutions (e.g., market research companies).

Generic skills/competencies:

- Completion of assignments
- Working with statistical software
- Writing of academic reports
- Presenting results in a scientific manner

Contents of the module:
Preparation of data sets and analysis of data related to marketing and management topics.

Teaching and learning methods:
Prep reading. Completion of assignments. Participation and discussion.

Literature (compulsory reading, recommended literature):