Elements of Artificial Intelligence MOOC (2cr)

Evaluation scale

Pass/Fail

Objective

The student masters the key concepts and definitions of AI and is able to participate into professional discussion that relates to the topic and applicability of AI.

Intended Learning Outcomes (ILOs):

IBCRI: Skills in Critical and Analytical Understanding
Upon completion of the course the student understands the basic concept and logic of Artificial Intelligence and masters the key vocabulary related to the subject. The student is also able to understand the limitations of the current stage of development of Artificial Intelligence.

IBBUS Applied Business Skills:
Student understand the practical (existing and potential) applications of AI and implications of them to business processes.
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Execution methods

self-paced online study

Content

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

Materials

Online platform "Elements of AI" by University of Helsinki" + recommended readings and viewings as suggested by the platform contents

Completion alternatives

Going through the course material on-line with inbuilt peer assessments, dialogue and exercises

Student workload

54 hrs = 2 ECTS

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.