Data-driven Decision Making (5 op)

Tavoitteet

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

Aika ja paikka

Start of the study unit is 06.09.2023 16.00 - 18.00.
This study unit has only Zoom lectures.The is no mandatory attendance apart of the first lecture and during possible team-presentations. Be aware that the ZOOM-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.
The individual exams and group work of the study unit are made online.

Oppimateriaali ja suositeltava kirjallisuus

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

Toteutustapa

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.

Toteutuksen tärkeät päivämäärät

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.

Kansainvälisyys toteutuksella

The study unit is suitable for exchange students

Opiskelijan ajankäyttö ja kuormitus

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

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: Data and Artificial Intelligence in Business Context

Arviointiasteikko

H-5

Lisätiedot

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.”