MET3 Business Data Processing
The aim of the course is to provide students with basic knowledge of data processing and information technology, and to develop practical skills in the use of Office 365 and the Power-platform. There will be an emphasis on learning methods to formulate, analyse and solve economics/business issues
The course is divided into the following main parts:
- Building financial models and conducting analyses in Excel and Power BI,
- Databases and data modelling
- Basic programming principles and development of applications in a low-code platform
- General introduction to the use of modern information technology, artificial intelligence (AI) and Business Intelligence
In each main part, theory, principles and methods will be illustrated. A booklet with practical exercises linked to the main parts of the course is available on Canvas alongside suggested answers to the exercises.
Knowledge - the candidate
- has basic knowledge of economics/business data processing
- has basic knowledge of principles for structured programming
- has knowledge of information technology and the challenges of using information technology in business and society
- has knowledge of databases and their uses
- has knowledge of ethical issues related to data protection and data processing
Skills - the candidate
- can build financial models in Excel
- can retrieve, process and model data for further analysis and visualization in Power BI
- can create data models in third normal form and simple dimensional data models
- can create simple applications in the Power platform
General competence - the candidate
- can apply his/her knowledge and skills to solve business problems using appropriate information technology
- can communicate with ICT consultants about needs relating to specific database and spreadsheet solutions
The course will consist of physical meetings, videos and physical group work
Credit reduction due to overlap
MET is the equivalent to MET030. Students will not get credit for both courses.
Group-based oral examination based on a case assignment (cf. work requirement no. 2)
Announced at the start of the semester
- ECTS Credits
Autumn. Offered autumn 2023.
Associate Professor Trond Vegard Johannessen, Department of Strategy and Management.