AI and future technologies (5 cr)
Code: IB00EC57-3002
General information
Enrollment
06.04.2022 - 09.09.2022
Timing
05.09.2022 - 31.12.2022
Number of ECTS credits allocated
5 op
Mode of delivery
Contact teaching
Campus
Kouvola Campus
Teaching languages
- English
Seats
20 - 40
Degree programmes
- Degree Programme in Digital International Business
Teachers
- Hugh Clack
- Marco Torregrossa
Teacher in charge
Maria Kangasniemi-Haapala
Groups
-
IBKV21SPDigital 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
Required resources
• There are no prescribed reference texts for this course, but online materials and articles will be useful for the course
• Other materials will be provided by lecturer, including ppt.
Teaching methods
To be agreed individually.
Employer connections
-
Exam schedules
No exam
Assignments to be returned in time
International connections
-
Student workload
-
Content scheduling
Course 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, analyze and develop smart technologies in business?
Further information
Student Feedback
XAMK places a high priority on approaches to learning and teaching that enhance the student experience. Feedback is sought from students in a variety of ways including on-going engagement with the lecturer, the use of Student Experience of Learning and Course feeback (TUUDO) surveys as well can support the teaching future development.
Evaluation scale
1-5
Assessment methods and criteria
Course assessment
- Participation and attendance 10%
- Peer & Self-evaluation 10%
- Final group presentation 20%
- Group project & project report 60%