Course content

The module gives the student basic understanding of the use of modern, digital tools and methods to solve problems related to business administration. We address the following topics among others:

• Basic use of programming in business administration
• Concepts and terms which are used in information technology
• How to analyse large and fragmented data sets originating from different sources
• Visualisation of data as a means in communication and dissemination (customer data, accounting, logistics, etc)
• Understanding of information security
• Sources of information and data for analysis
• How artificial intelligence and machine learning can be used in business administration

Learning outcome

Knowledge

• The student is to know opportunities and limitations of programming and other digital tools in the processing and analysis of business data.
• The student is to know the legal limitations for data processing.

Skills

• The student is to be able to use programming to simulate, model and solve problems in business administration and economics.

General Competency

• The student is to be able to communicate about computing tools, needs, and solutions across disciplinary boundaries.
• The student is to be able to use simulation and data analysis as a basis for business decisions
• The student is to be able to identify and assess information assets and security risks relating to data management.

Learning methods and activities

• Taught sessions with interactive and student active learning activities (e.g. live coding, group work)
• Practical exercises and projects under supervision by teaching assistants and module convener.

Compulsory assignments

• Exercises

Recommended previous knowledge

Mathematics and Statistics as taught in the first year of relevant degree programmes.

Course materials

Announced at the start of term.

Credit reductions