Building AI (2 cr)
Code: HB00CJ52-3001
General information
Enrollment
01.08.2024 - 01.05.2025
Timing
26.08.2024 - 19.05.2025
Number of ECTS credits allocated
2 op
Virtual portion
2 op
Mode of delivery
Online learning
Unit
School of Business
Teaching languages
- English
Seats
19 - 100
Degree programmes
- Bachelor's Degree Programme in International Business
Teachers
- Juha Saukkonen
- Jay Panjwani
Teacher in charge
Juha Saukkonen
Groups
-
HBI23S1Bachelor's Degree Programme in International Business
-
HBI22S1Degree Programme in International Business
-
HBI24S1Bachelor's Degree Programme in International Business
Objective
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/
Location and time
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.
Oppimateriaali ja suositeltava kirjallisuus
Material at the MOOC-platform for the course at:
https://buildingai.elementsofai.com/
Teaching methods
verkko-oppiminen MOOC-alustalla
Exam schedules
no exam. passing the course demands verification of learning obtained from the 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
Passing the course demands verification of learning obtained from the MOOC-platform
Evaluation scale
Pass/Fail
Assessment criteria, approved/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.
Qualifications
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