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Data-driven Decision Making (5 cr)

Code: HL00BQ82-3029

General information


Enrollment

28.11.2022 - 04.12.2022

Timing

10.01.2023 - 01.05.2023

Number of ECTS credits allocated

5 op

Virtual proportion

1 op

RDI proportion

2 op

Mode of delivery

80 % Contact teaching, 20 % Distance learning

Unit

Laurea Tikkurila

Campus

Laurea Tikkurila

Teaching languages

  • English

Seats

20 - 75

Degree programmes

  • Tietojenkäsittelyn koulutus (NTV2), Laurea Tikkurila (Finnish)

Teachers

  • Terhi Kärpänen

Teacher in charge

Terhi Kärpänen

Scheduling groups

  • Pienryhmä 1 (Size: 45. Open UAS: 0.)
  • Pienryhmä 2 (Size: 45. Open UAS: 0.)

Groups

  • NTV221SN
    Tietojenkäsittelyn koulutus, päivätoteutus, S21, Tikkurila

Small groups

  • Pienryhmä 1
  • Pienryhmä 2

Learning outcomes

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

Teaching methods

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.

Learning materials and recommended literature

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

Co-operation with working life and/or RDI

There is one project work for company.

Important dates

This course will be organized at Tikkurila campus. There are two separate groups and two common lessons.
The lessons dates:
31.01.2023 08.30 - 11.45 B101 (136 henkilöä) All groups
14.02.2023 08.30 - 11.45 B310 (30 henkilöä) Group 1
14.02.2023 12.30 - 15.45 B310 (30 henkilöä) Group 2
14.03.2023 08.30 - 11.45 B310 (30 henkilöä) Group 1
14.03.2023 12.30 - 15.45 B310 (30 henkilöä) Group 2
27.03.2023 08.30 - 11.45 B310 (30 henkilöä) Group 1
27.03.2023 12.30 - 15.45 B310 (30 henkilöä) Group 2
25.04.2023 08.30 - 11.45 B303 (84 henkilöä) All groups

Forms of internationality

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

Content and scheduling

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

Grading scale

H-5

Evaluation criteria, satisfactory (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

Evaluation criteria, good (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

Evaluation criteria, excellent (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