Data Analytics and Machine Learning (6 op)
Toteutuksen tunnus: SY00CB89-3002
Toteutuksen perustiedot
- Ajoitus
-
01.08.2026 - 31.12.2026
Toteutus ei ole vielä alkanut.
- Opintopistemäärä
- 6 op
- Lähiosuus
- 0 op
- Virtuaaliosuus
- 6 op
- Toteutustapa
- Etäopetus
- Yksikkö
- 30 Ylemmät ammattikorkeakoulututkinnot
- Toimipiste
- Laurea Verkkokampus
- Opetuskielet
- englanti
- Paikat
- 20 - 30
- Koulutus
- Degree Programme in Managing Digital Transformation in the Health Sector (NYD1), Laurea Virtual Campus
- Degree Programme in Managing Digital Transformation in the Health Sector (SYD1), Laurea Virtual Campus
Tavoitteet
Student is able to:
- Apply and understand various stages within the realm of machine learning.
- Recognize and locate crucial data points.
- Employ imputation techniques for data replacement and establish appropriate metrics.
- Identify and employ supervised and unsupervised algorithms suitable for health data analysis.
- Evaluate and interpret the performance of the various machine-learning algorithms on health data.
- Implement a machine learning pipeline in an ML toolkit.
Arviointiasteikko
H-5