MET3 Business Data Processing

• Topics

  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 Microsoft 365, Microsoft Power Platform, and artificial intelligence . 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
  • Practical application and understanding of artificial intelligence as a tool in business and economic contexts

  In each main part, theory, principles and methods will be illustrated. Throughout the course, we will explore how artificial intelligence can be integrated with other data tools to solve practical problems. A booklet with practical exercises linked to the main parts of the course is available on Canvas alongside suggested answers to the exercises.

• Learning outcome

  Upon course completion, the student:

  Knowledge

  • 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 sustainability, data protection and data processing
  • Has a basic understanding of artificial intelligence and its applications in business and economics.

  Skills

  • 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 Microsoft Power Plattform

  General competence

  • can apply his/her knowledge and skills to solve business problems using appropriate information technology
  • can articulate business and technological needs related to specific database, application, and spreadsheet solutions
  • Can reflect on opportunities and challenges related to the use of artificial intelligence in businesses and society.

• Teaching

  The course will consist of physical meetings, videos and physical group work.

• Credit reduction due to overlap

  MET3 is the equivalent to MET030. Students will not get credit for both courses.

• Compulsory Activity

  Individual assignment. Approved/not approved.

  Group presentation of case assignment. Approved/not approved.

  From autumn 2024, mandatory course requirements are only valid for the semester in which they are submitted. Requirements from previous semesters remain valid.

• Assessment

  Group-based oral examination based on a case assignment (cf. work requirement no. 2). Individual grade. Group size: 3-4 students and exam is 30 minutes per group.

  An assessment will not be organised in the non-teaching semester (spring).

• Grading Scale

  A-F

• Literature

  Announced at the start of the semester