Building AI (2 cr)

Evaluation scale

Pass/Fail

Objective

The course introduces principles and practices about the actual algorithms that make creating AI methods possible.
The student 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/

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 virtual study

Materials

The course platform (course material, assignments and recommended readings) to be found at: https://buildingai.elementsofai.com/

Teaching methods

Self-study in MOOC (Massive Open Online Course) at Aalto University Platform

Exam schedules

No exam: Passing requirement minimum 45 % consisting of Number of exercises completed X Correctness of answers. Eg. 80 % done and from those 80 % correct = result 80 % x 80 % = 64 %.

You need to provide course responsible teacher Juha Saukkonen proof of your course results. Send an e-mail (to: juha.saukkonen@jamk.fi) with a screenshot of the course platform that shows: 1) The course name 2) Your name 3) statement of completion

Student workload

Online study 55 hours

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 supports and is supported with courses (also MOOC) Elements of AI and Ethics of AI