Opetussuunnitelmat

Objective

The Elements of AI is a series of free online courses created by MinnaLearn and the University of Helsinki. We want to encourage as broad a group of people as possible to learn what AI is, what can (and can’t) be done with AI, and how to start creating AI methods. The courses combine theory with practical exercises and can be completed at your own pace. You master the key concepts and definitions of AI and is able to participate into professional discussion that relates to the topic and applicability of AI.

Competences:

Learning to learn: You develop critical and analytical mindset that helps you to study and review existing knowledge in the light of relevant learning resources and learning methods; incentivizes you to acquire new knowledge; and develops your intellectual capabilities to seek conclusions and draw inferences in various contexts.

Upon completion of the course you understand the basic concept and logic of Artificial Intelligence and masters the key vocabulary related to the subject. You are also able to understand the limitations of the current stage of development of Artificial Intelligence. You understand the practical (existing and potential) applications of AI and implications of them to business processes.

Content

Content areas covered: - What is AI? - AI problem solving - Real World AI - Machine learning - Neural Networks - Implications of AI

Oppimateriaali ja suositeltava kirjallisuus

MOOC-platform for the course:
https://www.elementsofai.com/

Teaching methods

independent online learning

Exam schedules

no exam, passing the course requires obtaining certificate from then MOOC platform

Vaihtoehtoiset suoritustavat

You have the right to apply for recognition of your studies if you have prior learning (e.g. university studies completed elsewhere) that can be accredited towards the degree you are currently completing.
The recognition of prior learning is possible in three primary ways: accreditation (replacement or inclusion), recognition of informal learning and studification. More precise info: JAMK Degree Regulations, section 17.

Student workload

Online learning (reading, exercises, peer feedback) 54 hours

Content scheduling

self-paced online learning, no deadlines set for proceeding

Further information

Assessment Pass/Fail, based on the obtaining the certificate from MOOC Platform

Evaluation scale

Pass/Fail

Assessment criteria, approved/failed

There is no grade, but the amount of exercises you complete is tracked. For getting the certificate, you need to complete at least 90% of the exercises and get 50% of the exercises right.

Go to https://www.elementsofai.com/. Complete the course at your own pace. Submit the certificate to the Moodle workspace IB general (enrolment key: ibgeneral). It will be added to your transcript.
If your track is Technology Business and Future Foresight, please discuss this topic with Juha Saukkonen. He has integrated this AI to some of his course actions.