Introduction to artificial intelligence (5 cr)
Code: YT00CF50-3001
General information
Enrollment
19.11.2021 - 09.01.2022
Timing
14.03.2022 - 17.03.2022
Number of ECTS credits allocated
5 op
Virtual portion
5 op
Mode of delivery
Distance learning
Unit
Faculty of Technology (LAB)
Campus
E-campus
Teaching languages
- Finnish
Seats
10 - 40
Degree programmes
- Master’s Degree Programme in Engineering, from IoT to AI
Teachers
- Matti Welin
- Minna Asplund
- Juhani Grape
- Rami Viksilä
Scheduling groups
- Opetus (Size: 0. Open UAS: 0.)
Groups
-
TLTIYITT21S
Small groups
- Lectures
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