AI and future technologies (5 cr)
Code: IB00EC57-3001
General information
Enrollment
12.04.2021 - 25.04.2021
Timing
30.08.2021 - 31.12.2021
Number of ECTS credits allocated
5 op
Virtual portion
2 op
RDI portion
5 op
Mode of delivery
60 % Contact teaching, 40 % Distance learning
Campus
Kouvola Campus
Teaching languages
- English
Seats
20 - 50
Degree programmes
- Degree Programme in Digital International Business
Teachers
- Harrison Okuogume
Teacher in charge
Harrison Okuogume
Groups
-
IBKV20SP1Digital international business, full-time studies
-
IBKV20SP2Digital international business, full-time studies
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?
Materials
To be announce later.
Teaching methods
Contact session, individual and group tasks
Employer connections
• Case study
• Classroom discussion of case and other materials
Exam schedules
• Individual assignment
• Case study analysis
• Project work
International connections
The course is a part of the Codeshare Teaching project realized jointly with the Bonn-Rhein-Sieg University of Applied Sciences (Germany), University of Cape Coast (Ghana), Koblenz University of Applied Sciences (Germany), and other possible partners from the USA and South Korea. Students from the aforementioned partner universities will take part in this course in addition to the DIB degree students from XAMK.
Students of the aforementioned partner universities will study using online synchronous and asynchronous options.
Content scheduling
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?
Further information
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.
Evaluation scale
1-5
Assessment methods and criteria
• Participation and attendance 10%
• Case study 30%
• Final assignment and presentation 60%