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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

  • IBKV20SP1
    Digital international business, full-time studies
  • IBKV20SP2
    Digital 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%