Decision Support Systems (not translated) IME19LE07-3001 27.08.2020-21.10.2020
Competence objectives of the study unit
To equip students with theory and methods of decision-making in the industrial context. Corporate organizations' internal and external information flows are identified, analysed and evaluated to develop more robust decision-making processes. To provide app-roaches to both deal-with and benefit-from using big data. An introduction to tools used today for these purposes are examined. The course also deals with intellectual property and ethics regarding company information and data.
Content of the study unit
- Decision-making theory in general with focus on decision- making based on quantitative data
- The company's internal information flow
- The company's external information flow: market,
business, customers, macro flows
- Data-driven business in technology and economics
- How to collect data, validate, describe, analyse and
- Predictive variables and target variables - a challenging
- Descriptive, predictive and prescriptive models
- The added value of data and data analysis
- Security, ethics and boundaries in using available and collected data.
Assessment criteria – satisfactory (1-2)
Sufficient (1) and Satisfactory (2)
Participating in the contact lessons, returned tasks.
Assessment criteria – good (3-4)
Good (3) and Very good (4)
Active participating in the contact lessons, returned tasks with good outcomes.
Assessment criteria – excellent (5)
Very active participating in the contact lessons, returned tasks with excellent outcomes.
Name of lecturer(s)
27.08.2020 - 21.10.2020
Enrollment date range
01.08.2020 - 31.08.2020
Teachers and responsibilities
Roger Nylund, Ray Pörn, Mats Braskén
Degree Programme in Industrial Management and Engineering