Studieguide

Lärandemål

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.

Innehåll

- 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
interpret data
- Predictive variables and target variables - a challenging
assignment
- Descriptive, predictive and prescriptive models
- The added value of data and data analysis
- Security, ethics and boundaries in using available and collected data.

Vitsordsskala

H-5

Förkunskapskrav

No prerequisitites