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AI and future technologies (5 cr)

Code: IB00EC57-3004

General information


Enrollment

04.11.2024 - 17.11.2024

Timing

13.01.2025 - 31.05.2025

Number of ECTS credits allocated

5 op

Mode of delivery

Contact teaching

Unit

Department of Business

Campus

Kouvola Campus

Teaching languages

  • English

Seats

20 - 60

Degree programmes

  • Degree Programme in Digital International Business

Teachers

  • Tuomo Kettula

Teacher in charge

Tuomo Kettula

Groups

  • IBKV23SP
    Digital international business, full-time studies
  • 14.01.2025 08:30 - 11:30, AI and future technologies IB00EC57-3004
  • 21.01.2025 08:30 - 11:30, AI and future technologies IB00EC57-3004
  • 28.01.2025 08:30 - 11:30, AI and future technologies IB00EC57-3004
  • 04.02.2025 08:30 - 11:30, AI and future technologies IB00EC57-3004
  • 11.02.2025 08:30 - 11:30, AI and future technologies IB00EC57-3004
  • 18.02.2025 08:30 - 11:30, AI and future technologies IB00EC57-3004
  • 06.03.2025 13:00 - 16:00, AI and future technologies IB00EC57-3004
  • 11.03.2025 12:30 - 15:30, AI and future technologies IB00EC57-3004
  • 18.03.2025 12:30 - 15:30, AI and future technologies IB00EC57-3004
  • 25.03.2025 08:30 - 11:30, AI and future technologies IB00EC57-3004
  • 01.04.2025 08:30 - 11:30, AI and future technologies IB00EC57-3004
  • 07.04.2025 13:15 - 16:15, AI and future technologies IB00EC57-3004
  • 15.04.2025 08:30 - 11:30, AI and future technologies IB00EC57-3004
  • 22.04.2025 09:00 - 12:00, AI and future technologies IB00EC57-3004

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?

Opiskelumateriaali

Materials on the Learn platform and optional written sources.

Yksilölliset oppimisväylät

Individual methods are discussed with the teacher separately.

TKI ja työelämäyhteistyö

The course can include assignments made jointly for companies or assignments agreed for each student.

Tentit ja muut määräajat

Announced in the Learn Learning Environment.

Opiskelijan työmäärä

5 ECTS credits correspond to 135 hours of student work.

Evaluation scale

1-5

Assessment methods and criteria

The assessment is based on assignments submitted during the course. The assessment criteria and task-specific weights are explained on the Learn platform.