Basics of Artifical IntelligenceLaajuus (5 op)
Tunnus: IT00BD90
Laajuus
5 op
Opetuskieli
- englanti
Vastuuhenkilö
- Rajeev Kanth
- Janne Koponen
Osaamistavoitteet
After completing the course, the student will be able to
- understand the terms Artificial Intelligence, related fields, and the philosophy of AI
- learn the societal applications of AI and how it could predict the future
- become familiar with basic statistics and probability used in AI
- solve simple machine learning and deep learning AI problems
- utilize basic AI algorithms in IOT optimization problems
Sisältö
- Statistics and Probability know-how, especially Bayes Rule and Regression
- Fundamental concepts on Neural Networks, Machine Learning, and Deep Learning
- Study of Datasets
- Classification Methods- Nearest Neighbor classification, Decision trees, Discriminant Analysis, Support vector machine
- Predictive models and finding their accuracies and improvement
Ilmoittautumisaika
01.12.2024 - 15.01.2025
Ajoitus
01.01.2025 - 30.04.2025
Laajuus
5 op
Toteutustapa
Lähiopetus
Yksikkö
Kansainväliset AMK-koulutukset
Toimipiste
Microkadun kampus
Opetuskielet
- Englanti
Tutkinto-ohjelma
- Degree Programme in Internet of Things
Opettaja
- Rajeev Kanth
Opiskelijaryhmät
-
IT23SPInformation Technology IOT