Advanced Data ScienceLaajuus (5 op)
Opinnon tunnus: TO00CD64
Laajuus
5 op
Osaamistavoitteet
The student is able to
- utilise the fundamental concepts and principles of AI, machine learning and data science tools
- utilise technology to effectively visualise data, create interactive dashboards and communicate insights to stakeholders
- develop skills in programming for data analysis, manipulation, visualisation and implementation of machine learning models
- apply advanced AI and machine learning techniques and methodologies to analyse complex data sets and develop predictive models
Esitietovaatimukset
To participate in the study unit, you must have completed the study unit Data-driven IT or have equivalent knowledge.
Lisätiedot
The learning outcomes of the study unit/project are evaluated based on the requirement level 2 of Laurea's common evaluation criteria.
Ilmoittautumisaika
19.05.2025 - 25.05.2025
Ajoitus
01.08.2025 - 31.12.2025
Opintopistemäärä
5 op
Virtuaaliosuus
5 op
Toteutustapa
Etäopetus
Yksikkö
10 Liiketalous-, tietojenkäsittely- ja palvelualat
Toimipiste
Laurea Verkkokampus
Opetuskielet
- Englanti
Paikat
20 - 40
Koulutus
- Complementary competence, bachelor's studies in English (CCN2), Information and Communication Technologies (ICT)
Opettaja
- Mitha Jose
Vastuuopettaja
Mitha Jose
Ryhmät
-
CCN225SYComplementary competence (bachelor’s studies in English), S25, Information and Communication Technologies (ICT)
Osaamistavoitteet
The student is able to
- utilise the fundamental concepts and principles of AI, machine learning and data science tools
- utilise technology to effectively visualise data, create interactive dashboards and communicate insights to stakeholders
- develop skills in programming for data analysis, manipulation, visualisation and implementation of machine learning models
- apply advanced AI and machine learning techniques and methodologies to analyse complex data sets and develop predictive models
Arviointiasteikko
H-5
Esitietovaatimukset
To participate in the study unit, you must have completed the study unit Data-driven IT or have equivalent knowledge.
Lisätiedot
The learning outcomes of the study unit/project are evaluated based on the requirement level 2 of Laurea's common evaluation criteria.