Elements of AILaajuus (2 cr)
Code: LT00BS46
Credits
2 op
Teaching language
- English
Objective
After taking the course, you will be able to:
Understand some of the major implications of AI
Think critically about AI news and claims
Define and discuss what AI is
Explain the methods that make AI possible
Content
What is AI?
AI Problem Solving
Real World AI
Machine Learning
Neural Networks
Implications
Assessment criteria, approved/failed
Pass/Fail
Enrollment
01.01.2025 - 30.11.2025
Timing
01.01.2025 - 31.12.2025
Number of ECTS credits allocated
2 op
Mode of delivery
Contact teaching
Teaching languages
- English
Teachers
- Sini Sarén
Objective
After taking the course, you will be able to:
Understand some of the major implications of AI
Think critically about AI news and claims
Define and discuss what AI is
Explain the methods that make AI possible
Content
What is AI?
AI Problem Solving
Real World AI
Machine Learning
Neural Networks
Implications
Evaluation scale
0 - 5
Assessment criteria, approved/failed
Pass/Fail
Enrollment
22.03.2024 - 31.12.2024
Timing
01.01.2024 - 31.12.2024
Number of ECTS credits allocated
2 op
Virtual portion
2 op
Mode of delivery
Distance learning
Unit
Business
Teaching languages
- English
Teachers
- Sini Sarén
Groups
-
VAPVAL2024VAPVAL2024
Objective
After taking the course, you will be able to:
Understand some of the major implications of AI
Think critically about AI news and claims
Define and discuss what AI is
Explain the methods that make AI possible
Content
What is AI?
AI Problem Solving
Real World AI
Machine Learning
Neural Networks
Implications
Evaluation scale
0 - 5
Assessment criteria, approved/failed
Pass/Fail
Enrollment
01.01.2023 - 31.12.2023
Timing
01.01.2023 - 31.12.2023
Number of ECTS credits allocated
2 op
Virtual portion
2 op
Mode of delivery
Distance learning
Unit
Business
Teaching languages
- English
Teachers
- Sini Sarén
Groups
-
VAPVAL2023VAPVAL2023
Objective
After taking the course, you will be able to:
Understand some of the major implications of AI
Think critically about AI news and claims
Define and discuss what AI is
Explain the methods that make AI possible
Content
What is AI?
AI Problem Solving
Real World AI
Machine Learning
Neural Networks
Implications
Evaluation scale
0 - 5
Assessment criteria, approved/failed
Pass/Fail
Enrollment
15.03.2021 - 31.12.2022
Timing
01.01.2022 - 31.12.2022
Number of ECTS credits allocated
2 op
Virtual portion
2 op
Mode of delivery
Distance learning
Unit
Business
Teaching languages
- English
Teachers
- Sini Sarén
Groups
-
VAPVAL2022VAPVAL2022
Objective
After taking the course, you will be able to:
Understand some of the major implications of AI
Think critically about AI news and claims
Define and discuss what AI is
Explain the methods that make AI possible
Content
What is AI?
AI Problem Solving
Real World AI
Machine Learning
Neural Networks
Implications
Evaluation scale
0 - 5
Assessment criteria, approved/failed
Pass/Fail