Generative AI Tools (5 cr)
Code: KD00FW06-3001
General information
- Enrollment
-
16.09.2024 - 30.11.2024
Registration for the implementation has ended.
- Timing
-
16.09.2024 - 31.12.2024
Implementation has ended.
- Number of ECTS credits allocated
- 5 cr
- Virtual portion
- 5 cr
- Mode of delivery
- Online
- Unit
- (2019-2024) School of Media, Design and Conservation
- Campus
- Hämeentie 135 D
- Teaching languages
- Finnish
- Seats
- 0 - 40
- Degree programmes
- Design
Objective
The student knows different generative artificial intelligence tools and knows how to use them as part of the creative work process. The student can think about the differences between different tools and their possibilities. The student can think about these tools and their effects on the creative industry and society more broadly.
Content
Generative artificial intelligence is artificial intelligence that can create e.g. text, images, videos or other in response to prompts.
This course provides an understanding of how generative artificial intelligence tools such as ChatGPT, Dall-E and Suno can be used and utilized as part of the creative work process currently and in the near future.
During the course, we both practice using artificial intelligence tools and consider how artificial intelligence has changed and is still changing both society and the activities of the creative industry. The course starts from the basics and does not require previous use of artificial intelligence tools.
The course is part of Metropolia's Digital Design teaching and therefore we approach the subject somewhat from a designer's point of view, although we mostly look at generative artificial intelligence more broadly.
You can complete the course at your own pace, and the course is evaluated on a pass or fail scale at the end.
Palaute
Location and time
In Moodle at your own pace, regardless of location. Address: https://moodle.metropolia.fi/enrol/index.php?id=4981
Materials
The course contains constantly updated teaching material because the topic is so new that it is updated all the time. There is no other recommended literature
Teaching methods
Reading material, independent writing, trying out different tools, peer feedback and learning tests. Although the studying is done independently, we also hope to learn together through assignments for others to comment on.
Exam schedules
We progress at our own pace and tests can be renewed at own pace, as long as the course material is maintained.
Completion alternatives
Cannot be completed in any other way.
Student workload
The course is 5 credits long and also requires the same amount of work. The course has a lot to read, try and think about, as well as several writing, experimenting and reflection tasks. Be prepared that learning takes time.
Content scheduling
The content/modules of the course are as follows:
1. Katsaus tekoälyn tilaan ja työkaluihin
2.. Kielen ja tekstin tekoälytyökalut
3.. Visuaaliset tekoälytyökalut
4.. Muita generatiivisia tekoälyapuvälineitä
5. Edellisten yhdistäminen, tee laajempi projekti tekoälytyökaluin
6. Tekoälyn eettiset ja yhteiskunnalliset näkökulmat
7. Tekoälyn tulevaisuudennäkymiä
Please note that some of the sections are significantly longer than others.
Since the course material is constantly updated, the above division may also change slightly if necessary.
Further information
The course consists of seven actual parts. Each part first has some pdf material that should be carefully reviewed. The material itself has some small tasks that I encourage you to do. After the material, there are also Moodle assignments in each section. These Moodle assignments are mandatory for passing the course.
Please also note that the contents are updated all the time and some PDFs may be updated to a newer version during the course.
Evaluation scale
Hyväksytty/Hylätty
Assessment criteria, approved/failed
Hyväksytty: opiskelija palauttaa kaikki kurssilla vaadittavat tehtävät
Hylätty: opiskelija ei palauta kaikkia kurssilla vaadittuja tehtäviä
Further information
You can complete the course at your own pace, and the course is evaluated on a pass or fail scale at the end.