AI in work lifeLaajuus (5 cr)
Code: XX00FN84
Credits
5 op
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
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.
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)
Opiskelija on saavuttanut opintojakson tavoitteet välttävästi. Opiskelija tunnistaa, osaa määritellä ja käyttää opintojakson aihepiirin käsitteitä ja malleja. Opiskelija ymmärtää asiantuntijuuden kehittymisen edellytykset ja periaatteet.
Assessment criteria, good (3)
Opiskelija on saavuttanut opintojakson tavoitteet hyvin, vaikka tiedoissa ja taidoissa onkin jollain alueilla vielä kehitettävää. Opiskelija osaa määritellä hyvin opintojakson aihepiirin käsitteitä ja malleja ja pystyy tekemään perusteltua analyysiä. Opiskelijalla on valmiuksia soveltaa oppimaansa vapaa-ajan, opiskelun ja työelämän tilanteissa. Opiskelija ymmärtää asiantuntijuuden merkityksen liiketalouden alalla ja osaa analysoida omaa asiantuntijuuttaan.
Assessment criteria, excellent (5)
Opiskelija on saavuttanut opintojakson tavoitteet kiitettävästi. Opiskelija hallitsee kiitettävästi opintojakson aihepiirin käsitteet ja mallit. Opiskelija osaa analysoida sujuvasti ja perustellusti sekä esittää käytännön kehittämistoimenpiteitä. Opiskelijalla on hyvät valmiudet soveltaa oppimaansa vapaa-ajan, opiskelun ja työelämän tilanteissa. Opiskelija osaa analysoida liiketalouden alan asiantuntijuutta ja omaa asiantuntijaksi kehittymistään.
Assessment criteria, approved/failed
Opiskelija on saavuttanut opintojakson tavoitteet välttävästi. Opiskelija tunnistaa, osaa määritellä ja käyttää opintojakson aihepiirin käsitteitä ja malleja. Opiskelija ymmärtää asiantuntijuuden kehittymisen edellytykset ja periaatteet.