Decision Support SystemsPoäng (5 sp)
Kod: IME22LE07
Poäng
5 op
Studieperiodens (kursens) lärandemål
The student knows the basics in 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. The student is familiar with approaches to both deal with and benefit from using big data. The student is familiar with tools used today for these purposes. The student also understands the challenges in dealing with intellectual property and ethics regarding company information and data.
Studieperiodens (kursens) 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.
Förkunskapskrav
No prerequisitites
Anmälningstid
01.12.2024 - 03.05.2025
Tajmning
21.04.2025 - 16.06.2025
Antal studiepoäng
5 op
Prestationssätt
Kontaktundervisning
Ansvarig enhet
Institutionen för teknik och sjöfart
Verksamhetspunkt
Vasa, Wolffskavägen 33
Undervisningsspråk
- Englanti
Lärare
- Mats Braskén
- Ray Pörn
Lärare
Ray Pörn
Grupper
-
IME24H-VIndustrial Management and Engineering, 2024
Lärandemål
The student knows the basics in 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. The student is familiar with approaches to both deal with and benefit from using big data. The student is familiar with tools used today for these purposes. The student also understands the challenges in dealing 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
Anmälningstid
30.11.2023 - 24.04.2024
Tajmning
22.04.2024 - 26.05.2024
Antal studiepoäng
5 op
Prestationssätt
Kontaktundervisning
Ansvarig enhet
Institutionen för teknik och sjöfart
Verksamhetspunkt
Vasa, Wolffskavägen 33
Undervisningsspråk
- Englanti
Lärare
- Mats Braskén
- Ray Pörn
Lärare
Roger Nylund
Grupper
-
IME23HP-VIndustrial Management and Engineering, 2023, part-time studies
Lärandemål
The student knows the basics in 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. The student is familiar with approaches to both deal with and benefit from using big data. The student is familiar with tools used today for these purposes. The student also understands the challenges in dealing 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
Anmälningstid
01.12.2022 - 19.04.2023
Tajmning
17.04.2023 - 21.05.2023
Antal studiepoäng
5 op
Prestationssätt
Kontaktundervisning
Ansvarig enhet
Institutionen för teknik och sjöfart
Verksamhetspunkt
Vasa, Wolffskavägen 33
Undervisningsspråk
- Englanti
Lärare
Roger Nylund
Lärandemål
The student knows the basics in 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. The student is familiar with approaches to both deal with and benefit from using big data. The student is familiar with tools used today for these purposes. The student also understands the challenges in dealing 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
Anmälningstid
01.12.2022 - 03.03.2023
Tajmning
04.03.2023 - 25.05.2023
Antal studiepoäng
5 op
Prestationssätt
Kontaktundervisning
Ansvarig enhet
Institutionen för teknik och sjöfart
Verksamhetspunkt
Vasa, Wolffskavägen 33
Undervisningsspråk
- Englanti
Lärare
- Mats Braskén
- Ray Pörn
Grupper
-
IME22HP-VIndustrial Management and Engineering, 2022, part-time studies
Lärandemål
The student knows the basics in 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. The student is familiar with approaches to both deal with and benefit from using big data. The student is familiar with tools used today for these purposes. The student also understands the challenges in dealing 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