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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
HRA222SA
Degree 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.”

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