Data-driven Decision Making (5 op)
Toteutuksen tunnus: HL00BQ82-3032
Toteutuksen perustiedot
- Ilmoittautumisaika
-
22.05.2023 - 28.05.2023
Ilmoittautuminen toteutukselle on päättynyt.
- Ajoitus
-
01.08.2023 - 31.12.2023
Toteutus on päättynyt.
- Opintopistemäärä
- 5 op
- Lähiosuus
- 0 op
- Virtuaaliosuus
- 5 op
- Toteutustapa
- Etäopetus
- Toimipiste
- Laurea Verkkokampus
- Opetuskielet
- englanti
- Paikat
- 20 - 40
- Koulutus
- Degree Programme in Safety, Security and Risk Management (HRA), Laurea Leppävaara
- Opettajat
- Lasse Kivinen
- Vastuuopettaja
- Lasse Kivinen
- Ajoitusryhmät
- Avoin AMK 1 (Koko: 5 . Avoin AMK : 5.)
- Ryhmät
-
HRA222SADegree Programme in Safety, Security and Risk Management, blended learning, S22, Leppävaara
- Pienryhmät
- Avoin AMK 1
- Opintojakso
- HL00BQ82
Tavoitteet
The student is able to
- use planning, analysis and decision-making tools and techniques in strategic planning
- analyze financial statements and business reports and use them as a basis for decisions
- make business decisions in various business contexts
- apply data in decision making
Aika ja paikka
This is an online course.
Class and Zoom meetings: see the schedule.
Canvas workspace will be open a few days before the planned study unit start.
Oppimateriaali ja suositeltava kirjallisuus
Marr, B. (2017). Data strategy: How to profit from a world of big data, analytics and the internet of things. Kogan Page Limited.
Toteutustapa
Welcome to study current topics related data and its meaning to business.
The study unit will include:
- Introduction to data and data based thinking
- Data driven decision making
- Data and business
- Data and data related tools
Course will be in English.
Kansainvälisyys toteutuksella
For exchange students, it’s possible to join this course.
Opiskelijan ajankäyttö ja kuormitus
One credit equals approximately 26.7 hours of work performed by the student.
Sisältö ja sen jaksotus
The modules:
Orientation
Module 1: What is data and what does data-driven mean?
Module 2: Decision making
Module 3: Data analytics and accounting
Module 4: Data and Artificial Intelligence in Business Context
Arviointiasteikko
H-5
Lisätiedot
The study unit corresponds to the requirements of Bachelor's level education.
According to the degree regulations (section 18) “students must be present in the first contact session or notify their teacher in charge if they cannot attend. If they fail to notify the teacher of their absence in the first contact session, their enrollment will be rejected. Another student in the queue may be enrolled in the study unit in the place of the absent student.”