Digitization in FM & REM
Niveau
Introduction and consolidation
Learning outcomes of the courses/module
The students are able to:
• Independently analyze and structure data sets as well as present and critically evaluate information
• Independently analyze and structure data sets as well as present and critically evaluate information
Prerequisites for the course
Basic knowledge of spreadsheet & word processing software
Course content
• Basic programming knowledge for data preparation
• Analysis and presentation of information from data sets
• Analysis and presentation of information from data sets
Recommended specialist literature
Assessment methods and criteria
Portfolio
Language
English
Number of ECTS credits awarded
4
Share of e-learning in %
30
Semester hours per week
2.0
Planned teaching and learning method
Blended Learning
Semester/trimester in which the course/module is offered
2
Name of lecturer
Director of Studies
Academic year
1
Key figure of the course/module
DFMI
Type of course/module
integrated lecture
Type of course
Compulsory
Internship(s)
none