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Data-driven Decision Making (5 op)

Toteutuksen tunnus: HL00BQ82-3013

Toteutuksen perustiedot


Ilmoittautumisaika

23.05.2022 - 07.08.2022

Ajoitus

26.08.2022 - 06.12.2022

Opintopistemäärä

5 op

Virtuaaliosuus

1 op

TKI-osuus

2 op

Toteutustapa

80 % Lähiopetus, 20 % Etäopetus

Yksikkö

Laurea Tikkurila, tiko

Toimipiste

Laurea Tikkurila

Opetuskielet

  • Englanti

Paikat

20 - 40

Koulutus

  • Tietojenkäsittelyn koulutus (NTV2), Laurea Tikkurila

Opettaja

  • Terhi Kärpänen

Vastuuopettaja

Terhi Kärpänen

Ryhmät

  • NTV221KA
    Tietojenkäsittelyn koulutus, monimuotototeutus, K21, Tikkurila

Osaamistavoitteet

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

Toteutustapa

This course will be organized at Tikkurila campus
Welcome to study current topics related data and its meaning to business.
The unit will include:
- Introduction to data and data based thinking
- Data driven decision making
- Data and business
- Data and data related tools

There will be collaboration with companies during the course.
Course will be in English.

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.
All material needed will be found in Canvas platform for enrolled and accepted students

Toteutuksen tärkeät päivämäärät

This course will be organized at Tikkurila campus.
The lessons dates:
13.09.2022 16.15 - 18.00
27.09.2022 16.15 - 18.00
25.10.2022 16.15 - 18.00
08.11.2022 16.15 - 18.00
28.11.2022 12.30 - 15.45

Kansainvälisyys toteutuksella

Study unit is suitable for Laurea exchange students and for Laurea students abroad.

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: Business case and dashboard

Arviointiasteikko

H-5

Arviointikriteerit, tyydyttävä (1-2)

PROFESSIONAL KNOWLEDGE BASIS, INFORMATION SEARCHING AND REPORTING
– use professional concepts in a consistent manner and demonstrate his/her familiarity with the knowledge basis
– report and communicate in a professional manner
PROFESSIONAL PRACTICE AND WORKPLACE DEVELOPMENT
– act independently taking into account the operating environment
– take responsibility for interaction with customers and/or co-operation partners and for responding to their needs
TEAMWORK SKILLS, LEADERSHIP AND RESPONSIBILITY
– describe the significance of his/her actions for successful co-operation
– describe his/her competence in relation to the learning outcomes

Arviointikriteerit, hyvä (3-4)

PROFESSIONAL KNOWLEDGE BASIS, INFORMATION SEARCHING AND REPORTING
– critically evaluate information and justify their actions with science-based knowledge
PROFESSIONAL PRACTICE AND WORKPLACE DEVELOPMENT
– propose creative solutions at work
– promote professional co-operation and enhance customer and partner relationships
TEAMWORK SKILLS, LEADERSHIP AND RESPONSIBILITY
– act in a manner that promotes the team’s entrepreneurial and responsible approach to work
- describe the development of his/her competence in relation to the learning outcomes

Arviointikriteerit, kiitettävä (5)

PROFESSIONAL KNOWLEDGE BASIS, INFORMATION SEARCHING AND REPORTING
– analyse the acquired information, draw conclusions and combine theoretical knowledge with experiential knowledge
PROFESSIONAL PRACTICE AND WORKPLACE DEVELOPMENT
– evaluate the applicability of produced knowledge, skill or idea to other contexts as well as their impact
– anticipate needs of customers and/or co-operation partners
TEAMWORK SKILLS, LEADERSHIP AND RESPONSIBILITY
– evaluate and develop the team’s entrepreneurial and responsible approach to work
– evaluate the possibilities for utilising competence and plan his/her personal development and development of the team