AI and future technologies (5 cr)
Code: IB00EC57-3004
General information
Enrollment
04.11.2024 - 17.11.2024
Timing
13.01.2025 - 31.05.2025
Number of ECTS credits allocated
5 op
Mode of delivery
Contact teaching
Unit
Department of Business
Campus
Kouvola Campus
Teaching languages
- English
Seats
20 - 60
Degree programmes
- Degree Programme in Digital International Business
Teachers
- Tuomo Kettula
Teacher in charge
Tuomo Kettula
Groups
-
IBKV23SPDigital international business, full-time studies
- 14.01.2025 08:30 - 11:30, AI and future technologies IB00EC57-3004
- 21.01.2025 08:30 - 11:30, AI and future technologies IB00EC57-3004
- 28.01.2025 08:30 - 11:30, AI and future technologies IB00EC57-3004
- 04.02.2025 08:30 - 11:30, AI and future technologies IB00EC57-3004
- 11.02.2025 08:30 - 11:30, AI and future technologies IB00EC57-3004
- 18.02.2025 08:30 - 11:30, AI and future technologies IB00EC57-3004
- 06.03.2025 13:00 - 16:00, AI and future technologies IB00EC57-3004
- 11.03.2025 12:30 - 15:30, AI and future technologies IB00EC57-3004
- 18.03.2025 12:30 - 15:30, AI and future technologies IB00EC57-3004
- 25.03.2025 08:30 - 11:30, AI and future technologies IB00EC57-3004
- 01.04.2025 08:30 - 11:30, AI and future technologies IB00EC57-3004
- 07.04.2025 13:15 - 16:15, AI and future technologies IB00EC57-3004
- 15.04.2025 08:30 - 11:30, AI and future technologies IB00EC57-3004
- 22.04.2025 09:00 - 12:00, AI and future technologies IB00EC57-3004
Objective
You learn to identify how artificial intelligence (AI) affects companies and industries.
You are able to analyse business models based on AI-powered platforms.
You acquire skills for problem solving in AI-dominated industries.
You learn the principles of emerging technologies, types of technological trajectories and technological innovations.
You learn to identify and analyse smart technologies for developing intelligent and agile businesses.
Content
What are the concepts of AI and future technologies?
What are the main principles of the business models on AI-powered platforms?
How to solve business-related tasks in AI-dominated industries?
What are the principles of emerging technologies?
What are the types of technological trajectories and technological innovations?
How to identify, analyse and develop smart technologies in business?
Opiskelumateriaali
Materials on the Learn platform and optional written sources.
Yksilölliset oppimisväylät
Individual methods are discussed with the teacher separately.
TKI ja työelämäyhteistyö
The course can include assignments made jointly for companies or assignments agreed for each student.
Tentit ja muut määräajat
Announced in the Learn Learning Environment.
Opiskelijan työmäärä
5 ECTS credits correspond to 135 hours of student work.
Evaluation scale
1-5
Assessment methods and criteria
The assessment is based on assignments submitted during the course. The assessment criteria and task-specific weights are explained on the Learn platform.