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Data-driven Decision Making (5 cr)

Code: HL00BQ82-3043

General information


Enrollment

20.05.2024 - 26.05.2024

Timing

19.09.2024 - 07.11.2024

Number of ECTS credits allocated

5 op

Virtual proportion

1 op

Mode of delivery

80 % Contact teaching, 20 % Distance learning

Unit

Laurea Leppävaara, service

Campus

Laurea Leppävaara

Teaching languages

  • English

Seats

20 - 50

Degree programmes

  • Turvallisuuden ja riskienhallinnan koulutus (HTA2), Laurea Leppävaara (Finnish)

Teachers

  • Tuomas Tammilehto
  • Lasse Kivinen
  • Kaija Koivusalo

Teacher in charge

Tuomas Tammilehto

Groups

  • HTA223SN
    Turvallisuuden ja riskienhallinnan koulutus, päivätoteutus, S23, Leppävaara

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

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

Course will be in English.

Location and time

Start of the study unit is 19.9.2024 in Leppävaara.This study unit is on-site at Leppävaara-Campus.The lectures will not be recorded.

This study unit includes individual work and working in teams. The individual exams and group work of the study unit are made online.
The learning environment of the study unit is Canvas.Canvas workspace will be open a few days before the planned study unit start.

Learning materials and recommended literature

The materials are online and will be available as soon as Canvas opens.

Alternative completion methods of implementation

Any competence that corresponds to the learning outcomes of your degree can be included in it through recognition and accreditation of prior learning. Any competence that corresponds to the learning outcomes of your degree can be included in it through recognition and accreditation of prior learning.

Important dates

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. After the first contact day no new students are accepted on the course.

Forms of internationality

The study unit is suitable for exchange students

Students workload

One credit equals approximately 26.7 hours of work performed by the student.

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: Data and Artificial Intelligence in Business Context

Further information for students

The study unit corresponds to the requirements of Bachelor's level education.

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

BACHELOR'S DEGREE INITIAL STAGE STUDENTS
EXCELLENT
grade 5
Students are able to:
• Apply professional concepts expertly.
• Comply with occupational safety instructions responsibly and independently.
• Justify activities using research knowledge.
• Work independently and take initiatives in line with objectives. Operations are often flexible, systematic, development-oriented, creative and active.
• Select the appropriate techniques and models for activities, and justify the choices.
• Act in customer-oriented ways and according to the situation.
• Promote group activities.
• Able to critically apply ethical principles in the subject field in one's conduct and tasks.
GOOD
grade 3
Students are able to:
• Apply professional concepts systematically.
• Apply occupational safety instructions in their activities.
• Justify, compare and analyse their activities using general guidelines.
• Able to cope independently in different tasks in each operating environment.
• Apply acquired techniques and models diversely.
• Act professionally in customer situations.
• Work in a group in line with objectives.
• Justify their activities in accordance with ethical principles..
SATISFACTORY,
grade 1
Students are able to:
• Apply most important/individual and appropriate professional concepts, and indicate their familiarity with the knowledge base.
• Act safely, although activities are often schematic/ experimental/ fumbling/ self-involved.
• Comply with rules and instructions, and justify their activities using provided instructions.
• Act appropriately under guidance.
• Use acquired techniques and models.
• Take customers into account in their actions.
• Act as group members.
• Act in accordance with ethical principles