Data Analytics and Machine Learning (5 op)
Toteutuksen tunnus: TT00CO52-3001
Toteutuksen perustiedot
Ilmoittautumisaika
29.11.2023 - 18.01.2024
Ajoitus
08.01.2024 - 30.04.2024
Opintopistemäärä
5 op
Toteutustapa
Lähiopetus
Yksikkö
Tekniikka ja liiketoiminta
Toimipiste
Kupittaan kampus
Opetuskielet
- Englanti
Paikat
10 - 50
Koulutus
- Tieto- ja viestintätekniikan koulutus
- Tietojenkäsittelyn koulutus
- Degree Programme in Information and Communications Technology
Opettaja
- Golnaz Sahebi
Vastuuopettaja
Golnaz Sahebi
Ryhmät
-
PTIETS22deaiPTIETS22 Datatekniikka ja Tekoäly
-
PTIVIS22IData Engineering and AI
- 17.01.2024 13:00 - 15:00, Start, Data Analytics and Machine Learning TT00CO52-3001
- 24.01.2024 13:00 - 16:00, Theory and practice, Data Analytics and Machine Learning TT00CO52-3001
- 31.01.2024 13:00 - 16:00, Theory and practice, Data Analytics and Machine Learning TT00CO52-3001
- 07.02.2024 15:00 - 18:00, Theory and practice, Data Analytics and Machine Learning TT00CO52-3001
- 14.02.2024 13:00 - 16:00, Theory and practice, Data Analytics and Machine Learning TT00CO52-3001
- 28.02.2024 13:00 - 16:00, Theory and practice, Data Analytics and Machine Learning TT00CO52-3001
- 06.03.2024 13:00 - 16:00, Theory and practice, Data Analytics and Machine Learning TT00CO52-3001
- 13.03.2024 13:00 - 16:00, Theory and practice, Data Analytics and Machine Learning TT00CO52-3001
- 20.03.2024 13:00 - 16:00, Theory and practice, Data Analytics and Machine Learning TT00CO52-3001
- 27.03.2024 13:00 - 16:00, Theory and practice, Data Analytics and Machine Learning TT00CO52-3001
- 03.04.2024 13:00 - 16:00, Theory and practice, Data Analytics and Machine Learning TT00CO52-3001
- 10.04.2024 13:00 - 16:00, Theory and practice, Data Analytics and Machine Learning TT00CO52-3001
- 17.04.2024 13:00 - 16:00, Data Analytics and Machine Learning TT00CO52-3001
- 24.04.2024 13:00 - 16:00, Final presentations, Data Analytics and Machine Learning TT00CO52-3001
Tavoitteet
After completing the course the student:
- Can define the main concepts related to machine learning
- Understands the value and the drivers for machine learning
- Can describe the processes of machine learning
- Can use some tools for data analytics and machine learning
Sisältö
Machine learning process and methods
Practical work
Arviointiasteikko
H-5