AI and future technologies (5 cr)
Code: IB00EC57-3002
General information
- Enrollment
- 06.04.2022 - 09.09.2022
- Registration for the implementation has ended.
- Timing
- 05.09.2022 - 31.12.2022
- Implementation has ended.
- Number of ECTS credits allocated
- 5 cr
- Local portion
- 5 cr
- Mode of delivery
- Contact learning
- Unit
- Liiketalouden koulutusyksikkö, Kouvola (vanhennettu)
- 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
- 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
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.
Study forms and methods
To be agreed individually.
RDI and work-related cooperation
-
Timing of exams and assignments
No exam
Assignments to be returned in time
International cooperation
-
Student workload
-
Course part description
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%