Business Analytics I

• Data preparation • Derivation of business management tasks • Data-processing and evaluation with MS Excel • Embedding created evaluations in MS Word • Embedding created evaluations in MS PowerPoint

Mode of delivery

face to face

Type

compulsory

Recommended or required reading and other learning resources/tools

Messner/Kreidl/Wala (Hrsg.) (2011): Grundlagen der Betriebswirtschaftslehre, Wien: LexisNexis (BEWU) Grob/Reepmeyer/Bensberg (2008): Excel für Wirtschaftswissenschaftler, München: Vahlen. (BEWU) BEWE: Required literature will be communicated at the beginning of the course.

Planned learning activities and teaching methods

Lecture, case studies, knowledge tests

Assessment methods and criteria

Continuous assessment, participation & performance, assignments, and presentations

Prerequisites and co-requisites

Study Organisation and Business Skills I, Fundamentals of Accounting, Introduction to Business Administration

Infos

Degree programme

European Economy and Business Management (English)

Cycle

Bachelor

ECTS Credits

2.00

Language of instruction

English

Curriculum

Full-Time

Academic year

2023

Semester

2 SS

Incoming

No

Learning outcome

After successful completion of the course, students can: - prepare existing data for business management problems - use relevant functionalities of common spreadsheet programmes - contribute to management decisions through appropriate methods of data aggregation - prepare profitability analyses - present evaluations efficiently and professionally The learning outcomes of this course contribute mainly to the following (international) programme learning outcomes: LO 3.2 LO 4.1 LO 5.1

Course code

1389-20-01-VZ-DE-13