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AI in work life (5 cr)

Code: XX00FN84-3001

General information


Enrollment

27.11.2023 - 12.03.2024

Timing

26.03.2024 - 21.05.2024

Number of ECTS credits allocated

5 op

Mode of delivery

Contact teaching

Unit

Education

Teaching languages

  • Finnish

Teachers

  • Mika Hämäläinen

Teacher in charge

Mika Hämäläinen

Objective

By completing this course, you will know how to:
- use concepts and applications regarding AI
- evaluate AI’s effects in work life
- apply generative AI applications, image recognition, image processing and robotics in different context
- use automation’s basics in office tools and apply AI based decision-making
- illustrate AI’s ethical challenges and evaluate solutions to solve them

Content

Content:
- Introduction to AI in work life
- Generative AI applications
- Image recognition and processing in work life
- Applying robotics and gadgets in work life
- Automation’s basics in office tools and intelligent personal assistants in work life
- Applying AI based decision-making in work life
- AI’s ethics and future
- Compilation: How to use AI in work life

Location and time

Intensive week: weeks 13-21 (26.3.-21.5.2024)

More precise schedule: Online lessons in Zoom on Tuesdays 14.00-16.00 (26.3., 2.4., and 21.5.), independent sprints open on Tuesdays 14 o’clock (9.4., 23.4., 7.5., and 14.5.)

The assignments of the course are scheduled. It is not possible to complete them in a customized schedule.

Sprints’ contents:
- Introduction to AI in work life (26.3., Zoom)
- Generative AI applications (2.4., Zoom)
- Image recognition and processing in work life (9.4., independent work)
- Applying robotics and gadgets in work life (16.4., independent work)
- Automation’s basics in office tools and intelligent personal assistants in work life (23.4., independent work)
- Applying AI based decision-making in work life (7.5., independent work)
- AI’s ethics and future (14.5., independent work)
- Compilation: How to use AI in work life (21.5., Zoom)

Evaluation scale

0-5

Assessment criteria, satisfactory (1)

The student has achieved the course objectives fairly. The student will be able to identify, define and use the course subject area’s concepts and models. The student understands the criteria and principles of the expertise development.

Assessment criteria, good (3)

The student has achieved the course objectives well, even though the knowledge and skills need improvement on some areas. The student is able to define the course concepts and models and are able to justify the analysis. The student is able to apply his/her knowledge in leisure, study and work situations. The student understands the importance of expertise in the field of business and is able to analyze his/her own expertise.

Assessment criteria, excellent (5)

The student has achieved the objectives of the course with excellent marks. The student masters commendably the course subject area’s concepts and models The student is able to make justified and fluent analysis and to present concrete development measures. The student is well prepared to apply his/her knowledge in leisure, study and work situations. The student is able to analyze the business sector expertise and the development of his/her own expertise.

Assessment criteria, approved/failed

The student has achieved the course objectives fairly. The student will be able to identify, define and use the course subject area’s concepts and models. The student understands the criteria and principles of the expertise development.