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AI and future technologiesLaajuus (5 cr)

Code: IB00EC57

Credits

5 op

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?

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

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.

Enrollment

06.11.2023 - 17.11.2023

Timing

11.01.2024 - 31.05.2024

Number of ECTS credits allocated

5 op

Mode of delivery

Contact teaching

Unit

Department of Business

Campus

Kouvola Campus

Teaching languages
  • English
Degree programmes
  • Degree Programme in Digital International Business
Teachers
  • Jayden Khakurel
Teacher in charge

Jayden Khakurel

Groups
  • IBKV22SP
    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?

Evaluation scale

1-5

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

Unit

Liiketalouden koulutusyksikkö, Kouvola (vanhettu)

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
  • IBKV21SP
    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?

Opiskelumateriaali

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.

Yksilölliset oppimisväylät

To be agreed individually.

TKI ja työelämäyhteistyö

-

Tentit ja muut määräajat

No exam
Assignments to be returned in time

Kansainvälinen yhteistyö

-

Opiskelijan työmäärä

-

Toteutuksen osien kuvaus

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%