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Data-driven Decision Making (5 cr)

Code: HL00BQ82-3065

General information


Enrollment

27.11.2023 - 20.12.2023

Timing

19.01.2024 - 10.05.2024

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 - 80

Degree programmes

  • Degree Programme in Business Information Technology, Developing Digital Services (NDV2), Laurea Tikkurila (in Finnish)

Teachers

  • Terhi Kärpänen

Teacher in charge

Terhi Kärpänen

Scheduling groups

  • Pienryhmä 1 (Size: 40. Open UAS: 0.)
  • Pienryhmä 2 (Size: 40. Open UAS: 0.)

Groups

  • NDV222SN
    Tietojenkäsittelyn koulutus, digitaalisten palveluiden kehittäminen, päivätoteutus, S22, 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 includes individual and group work. One lesson is a video lesson. This course includes one optional info-clinic. The students have divided to groups (group 1 and group 2). The groups will be communicated in the first lesson.
Otherwise, lessons will be held at Tikkurila campus. The learning platform is Canvas.

Learning materials and recommended literature

All material will be found in Canvas platform for enrolled and accepted students
Bazerman, M., Moore, D. 2017. Judgement in Managerial Decision Making.Wiley:NJ.

Alternative completion methods of implementation

According to degree regulations “All students are entitled to demonstrate their competence. The recognition and accreditation of prior competence is initiated by the students themselves. The competence is recognised and accredited by the teacher responsible for the module or study unit or another person designated by the director of the UAS unit. The assessment is carried out according to the same criteria and grading scale as that adopted for the corresponding study unit.”

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:
01.02.2024 09.00 - 11.45 All
15.02.2024 09.00 - 11.45 Group 1
15.02.2024 12.30 - 15.15 Group 2
12.03.2024 09.00 - 11.45 Group 1
12.03.2024 12.30 - 15.15 Group 2
04.04.2024 09.00 - 11.45 Group 1
04.04.2024 12.30 - 15.15 Group 2
25.04.2024 18.00 - 20.00 Info-clinic Zoom (optional)
07.05.2024 09.00 - 11.45 All

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

Further information for students

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.”

Grading scale

H-5

Evaluation methods and criteria

The evaluation is based on assessment criteria which will communicate to the students in first lesson.

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