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Detailed information about the module

Module title:

Business Analytics

Module title (english):

Business Analytics

Module number:

82-021-IFM12-H-0316

Level:

Bachelor (UNI)

Course of study:

Type:

Modul

Organising faculty/Language Center:

Wirtschaftswissenschaftliche Fakultät

Instructors responsible:

Setzer, Thomas

Examiners:

Credit points (ECTS):

competencies/skills:

- Students understand the fundamental aspects, potentials and challenges in business analytics and know how to address problems in business analytics in a structured and reflected fashion.
- Students know basic methodology from statistical/machine learning to solve widespread business problems and understand their theoretical foundations and properties. The students are enabled to select candidate models and methods depending on a given tasks, and can compare, assess and beneficially refine the configuration of the models and methods.
- Based on the theory- and practice-based know-how as well as the exercises in the tutorial the students can systematically apply state-of-the-art software to solve distinct problems in business analytics.

course content/topics:

This is an introductory course in data analysis for widespread business problems regularly found in practice. The participants will familiarize themselves with procedural models and relevant data mining methodology. They will learn how to preprocess, explore and reduce data, methods for clustering, classification and probabilistic network modeling. During tutorials, the participants will apply their knowledge by solving problems with realistic data sets.

The course is structured as follows:
- Introduction to Business Analytics
- Data Preprocessing & Exploratory Analytics
- Dimensionality Reduction and Data Transformation
- Methods of Classification
- Clustering, Association Rules and Probabilistic Networks

formal requirements of admission:

recommended qualifications:

None

Lehr- und Lernformen/Lehrveranstaltungstypen:

- Lecture
- Tutorial (Exercise)

requirements for the attainment of ECTS points:

Grading of written examination at the end of the semester. Exam language is English. Students may answer the exam questions in English as well as in German.

workload/distribution of ECTS points within the module:

45 h = Time of attendance lecture and tutorial
75 h = Preparation and postprocessing lecture and tutorial
30 h = Exam preparation
150 h = Total workload

calculation of module marks:

Written examination (90 minutes) (100%)

teaching/learning method:

compatibility with other courses of study:

Turnus des Angebots:

Beteiligte Fachgebiete:

Bemerkung: