Curricula

Objectives

Building AI a flexible online course for anyone who wants to learn about the practical methods that make artificial intelligence a reality. You will get a solid introduction to for example machine learning and neural networks, and you will learn where and how AI methods are applied in real life. It is easy to move freely between the three difficulty levels, from multiple choice exercises to programming with Python – depending on whether you know programming or not. As a result of this course, you will be able to craft your own AI idea and present it to the community. Doing the online course is free of charge, but you can purchase the Building AI certificate to reward yourself for the effort. The certificate will become available upon successful completion of the course.

You can choose the level appropriate for his/her own targets and skills:
- Beginner: No programmic skills needed
- Intermediate: Basic idea of Python-programming recommended
- Advanced: Need for skills in advanced Python-programming
MOOC-platform for the course at:
https://buildingai.elementsofai.com/

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.
To achieve this competence, you will:
you will understand the basic of AI and Python programming and its impact.

Content

The course includes topical sub-sections:
Getting started with AI, Dealing with uncertainty, Machine Learning, Neural Netwroks and Conclusion.
Each section contains:
- exercises
- own elaboration on AI use case examples (to be peer reviewed by other course members)
- peer reviews (reviewing and assessing other students´ work)
MOOC-platform for the course at:
https://buildingai.elementsofai.com/

Time and location

Self paced and online

This is outsources online course, the course is self paced meaning that you can accomplish the ECTS at your own pace.

Learning materials and recommended literature

Material at the MOOC-platform for the course at:
https://buildingai.elementsofai.com/

Teaching methods

verkko-oppiminen MOOC-alustalla

Exam dates and retake possibilities

no exam. passing the course demands verification of learning obtained from the MOOC-platform

Alternative completion methods

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 for students

Passing the course demands verification of learning obtained from the MOOC-platform

Evaluation scale

Pass/Fail

Evaluation criteria, pass/failed

Passing based on the Screenshot from the course online platform that demostrates your level of course accomplished (beginner, intermediate, advanced), number of exercises completed (out of the total nr of exercises) and correctness of your answers
- 90 % of exercises done
- 50 % of exercises answered correctly
Complete the course at your own pace. Submit the course level- screenshot to the Moodle workspace IB general (enrolment key: ibgeneral). It will be added to your transcript.

Prerequisites

Elements of AI - MOOC course recommended but not obligatory
Recommended to continue to course Ethics of AI

Further information

The course is a 1/3 of AI-MOOC studies. The other elements are:
- Elements of AI
- Ethics of AI