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Data-driven Decision Making (5 op)

Toteutuksen tunnus: HL00BQ82-3056

Toteutuksen perustiedot


Ilmoittautumisaika
25.11.2024 - 01.12.2024
Ilmoittautuminen toteutukselle on päättynyt.
Ajoitus
15.01.2025 - 31.07.2025
Toteutus on käynnissä.
Opintopistemäärä
5 op
Lähiosuus
0 op
Virtuaaliosuus
5 op
Toteutustapa
Etäopetus
Yksikkö
10 Liiketalous-, tietojenkäsittely- ja palvelualat
Toimipiste
Laurea Verkkokampus
Opetuskielet
englanti
Paikat
40 - 80
Koulutus
Liiketalouden koulutus (HLY2), Laurea yhteinen
Opettajat
Tarmo Pallari
Katja Suonperä
Vastuuopettaja
Tarmo Pallari
Ryhmät
HTYDIN
Turvallisuuden ja riskienhallinnan koulutus
HLYDIN
Liiketalouden koulutus
NDYDIN
Tietojenkäsittelyn koulutus
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

Please refer to the Timetable Engine at https://lukkarit.laurea.fi/ for the schedule information. Laurea reserves the right to modify the timetable

Oppimateriaali ja suositeltava kirjallisuus

Jeyarathnam, M. 2008: Strategic Management. Global Media.
Van Looy, B., Gemmel, P. & Van Dierdonck, R. 2013: Service Management: An integrated approach. Essex: Pearson Education Limited.
Epstein L. 2012: The Business Owner's Guide to Reading and Understanding Financial Statements: How to Budget, Forecast, and Monitor Cash Flow for Better Decision Making. John Wiley & Sons, Incorporated.
Vance, David E. 2012: Financial analysis & decision making: tools and techniques to solve financial problems and make effective business decisions. McGraw-Hill.

Toteutustapa

The study unit is conducted online and does not require attendance on campus. The study unit includes scheduled teaching or guidance online, which is recorded and can be viewed on Canvas afterwards. The study unit includes working in individually, pairs or groups. The study unit requires active participation and commitment to interactive studying. You will receive individual feedback for assignments from the teacher, and working life or peer feedback may also be utilised.

Toteutuksen tärkeät päivämäärät

Based on the degree regulations (2024), the student accepted for the implementation is required to confirm his/her participation by showing activity at the start of the study in the following way:

In order to demonstrate activity, the student must be present at the first contact lesson or notify the teacher in charge of his/her absence to confirm his/her participation in the study. Registration will be rejected if the student does not report his/her absence at the start of the study or the reason for the absence cannot be considered justified. Another student can be taken in his place. The first contact lesson is 15.1.2024.
https://laurea.zoom.us/j/64964688378

Canvas opens on 10.1.2025 at 5 p.m.

Kansainvälisyys toteutuksella

The study unit is suitable for exchange students.

Toteutuksen valinnaiset suoritustavat

According to the degree regulations (2024), "Students are entitled to apply for recognition of prior learning regardless of where, when and how the competence has been acquired. ... At Laurea, there are two different procedures for the recognition and accreditation of prior learning: a) accreditation of prior learning (competence acquired in higher education studies at another institution) and b) demonstration of competence (competence acquired in other ways). The recognition and accreditation of prior learning is initiated by the student themselves. The student is responsible for demonstrating and verifying their competence. The student is entitled to guidance for the recognition and accreditation of their competence." Further information in the student intranet.

You may also assess work-based learning as a way to acquire the competence needed. Read more in the student intranet.

Opiskelijan ajankäyttö ja kuormitus

Workload of the study is measured in a way that to acquire the goal competence of the study, one credit corresponds to an average of 26.7 hours of work done by the student. The actual time needed varies e.g. according to prior competence. 5 ECST is approximately 135 hours.

Sisältö ja sen jaksotus

The study unit includes four themes or modules. The orientation module must be completed before you can go on to modules 1, 2, 3, and 4.

Orientation
Module 1: Data in Business Environment
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.

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