Machine Learning (5 cr)
Code: AT00BY43-3007
General information
Enrollment
06.05.2024 - 30.08.2024
Timing
04.11.2024 - 13.12.2024
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
10 - 40
Degree programmes
- Bachelor’s Degree Programme in Environmental Engineering (in Finnish) ((2022, 2023, 2024)
- Bachelor's Degree Programme in Information Technology (in Finnish)
Teachers
- Matti Welin
- Minna Asplund
- Rami Viksilä
Scheduling groups
- Luennot 1 (Size: 100. Open UAS: 0.)
Groups
-
TLTITVT21SV
-
TLTITVT21K
-
TLTIENTEC23KM
-
TLTIENTEC22KM
Small groups
- Lecture 1
Learning outcomes
The student is able to
- take advantage of both supervised and unsupervised machine learning in an appropriate way
- implement the fitting of the machine learning model
- take advantage of the supply of cloud services
- take into account the ethical guidelines of the authorities and the technology industry
- make use of existing machine learning ecosystems and equipment
Assessment scale
1-5