AI and future technologies (5 cr)
Code: IB00EC57-3001
General information
- Enrollment
-
12.04.2021 - 25.04.2021
Registration for the implementation has ended.
- Timing
-
30.08.2021 - 31.12.2021
Implementation has ended.
- Number of ECTS credits allocated
- 5 cr
- Local portion
- 3 cr
- Virtual portion
- 2 cr
- RDI portion
- 5 cr
- Mode of delivery
- Blended learning
- Unit
- Liiketalouden koulutusyksikkö, Kouvola (vanhennettu)
- 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
- Course
- IB00EC57
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?
Evaluation
Students can
a.use professional vocabulary and concepts in an expert way in different situations.
b. evaluate information sources critically.
c.work as team members in working life expert duties and identify and describe the problems of the professional field.
d.evaluate operations in customer, user and target group situations.
e. choose appropriate models, methods, software and techniques according to the purpose and justify these choices.
g. apply critically the ethical principles of the professional field in different situations.
Course material
To be announce later.
Study forms and methods
Contact session, individual and group tasks
RDI and work-related cooperation
• Case study
• Classroom discussion of case and other materials
Timing of exams and assignments
• Individual assignment
• Case study analysis
• Project work
International cooperation
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.
Course part description
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%