Elements of Artificial Intelligence MOOC (2 cr)
Code: HB00CJ41-3001
General information
Enrollment
01.08.2024 - 01.05.2025
Timing
26.08.2024 - 30.06.2025
Number of ECTS credits allocated
2 op
Virtual portion
2 op
Mode of delivery
Online learning
Unit
School of Business
Teaching languages
- English
Degree programmes
- Bachelor's Degree Programme in International Business
Teachers
- Juha Saukkonen
Groups
-
HBI21S1Degree Programme in International Business
-
HBI23S1Bachelor's Degree Programme in International Business
-
HBI22S1Degree Programme in International Business
-
HBI24S1Bachelor's Degree Programme in International Business
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.