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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
Teachers
Markus Norrena
Teacher in charge
Markus Norrena
Course
KD00FW06
No reservations found for implementation KD00FW06-3001!

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.

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