Introduction to artificial intelligence (5 cr)
Code: YT00CF50-3002
General information
Enrollment
21.11.2022 - 08.01.2023
Timing
27.02.2023 - 06.04.2023
Number of ECTS credits allocated
5 op
Virtual portion
5 op
Mode of delivery
Distance learning
Unit
Faculty of Technology (LAB)
Campus
E-campus, Lahti
Teaching languages
- Finnish
Seats
5 - 30
Degree programmes
- Master’s Degree Programme in Engineering, from IoT to AI (in Finnish)
Teachers
- Matti Welin
- Minna Asplund
- Rami Viksilä
Scheduling groups
- Luennot 1 (Size: 500. Open UAS: 0.)
Groups
-
TLTIYITT22SV
Small groups
- Luennot 1
Learning outcomes
The student is able to
- identify the key features of neural networks and deep learning
- study hyperparameters, activation functions, and neural network topology
- handle hidden layers as well as predict using existing data
- take into account usage of resources and the ethical aspects of artificial intelligence
Assessment scale
1-5