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
-
NDV222SNTietojenkäsittelyn 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