inf607 - Business Intelligence II

No participant requirement

At the end of the lecture period

Written exam (max. 120 min.)

Current module provides advanced business intelligence, data science with focus on enterprises and strong emphasis on big data and data analytics. Students of the course are provided with knowledge, which reflects current research and development in a data analytics domain.
Professional competence
The students:

• name and recognize the role of data analytics / data science as past of a daily business process in a particular company
• able to organize from managment perspective data analytis project
• being able to analyse advantages and disadvantages of different approaches and methods of the data analytics and being able to apply them in simple case studies
• obtain theoretical knowledge about data collection and modelling processes, including state of the art approaches and available best practices

Methodological competence
The students:

• being able to execute typical tasks of data analytis, and also being able to proceed deeper with respect to different approaches and methods
• gain a hans on experience and being able to understand advantages and disadvantages of different methods and being able to use obtained knowledge

Social competence
The students:

• build solutions based on case studies given to the group, for example design of regression model based on provided dataset
• discuss solutions on a technical level
• present obtained case studies solutions as part of the exercises

Self-competence 
The students:

• critically review provided offered information