Data Engineering projectLaajuus (5 op)
Tunnus: MS00CN46
Laajuus
5 op
Osaamistavoitteet
After completing the course, the students can
- work in the Data Engineering project
- describe and understand how Data Engineering projects are implemented
Sisältö
Practical project related to Data Engineering
Ilmoittautumisaika
02.12.2024 - 31.12.2024
Ajoitus
01.01.2025 - 31.07.2025
Opintopistemäärä
5 op
Toteutustapa
Lähiopetus
Toimipiste
Kupittaan kampus
Opetuskielet
- Suomi
- Englanti
Paikat
10 - 25
Koulutus
- Insinööri (ylempi AMK), Data Engineering and AI
- Tradenomi (ylempi AMK), Data Engineering and AI
Opettaja
- Jussi Salmi
Ryhmät
-
YDATIS24Insinööri (ylempi AMK), Data Engineering and AI
-
YDATTS24Tradenomi (ylempi AMK), Data Engineering and AI
Tavoitteet
After completing the course, the students can
- work in the Data Engineering project
- describe and understand how Data Engineering projects are implemented
Sisältö
Practical project related to Data Engineering
Oppimateriaalit
Teacher provided lecture material
Supporting public online material
Teacher provided virtual machines
All needed material (or at least a link to them) will be available in itslearning.
Opetusmenetelmät
Contact learning, practical exercises, independent study
Pedagogiset toimintatavat ja kestävä kehitys
Given examples and exercises support each topic studied during the lectures. Additional material in the form of tutorials and reliable information sources is provided.
Opiskelijan ajankäyttö ja kuormitus
Contact hours 16 h
Inpendent studying 119h, including:
- Studying the course material
- Completing assignments
- Project
Sisällön jaksotus
-The basic idea of data engineering methods and pipelines
-different components
-integration of said components (MQ systems)
-data engineering frameworks (Apache family)
Viestintäkanava ja lisätietoja
Itslearning and contact classes are the main communication channels used on this course.
The student is required to have a computer capable of running a simple Ubuntu virtual machine.
Arviointiasteikko
H-5
Arviointimenetelmät ja arvioinnin perusteet
Assignments returned throughout the course
Small project at the end of the course
Ilmoittautumisaika
02.12.2023 - 15.01.2024
Ajoitus
15.01.2024 - 30.04.2024
Opintopistemäärä
5 op
Toteutustapa
Lähiopetus
Yksikkö
Tekniikka ja liiketoiminta
Opetuskielet
- Suomi
- Englanti
Koulutus
- Insinööri (ylempi AMK), Data Engineering and AI
- Tradenomi (ylempi AMK), Data Engineering and AI
Opettaja
- Tommi Tuomola
Ryhmät
-
YDATIS23Insinööri (ylempi AMK), Data Engineering and AI
-
YDATTS23Tradenomi (ylempi AMK), Data Engineering and AI
Tavoitteet
After completing the course, the students can
- work in the Data Engineering project
- describe and understand how Data Engineering projects are implemented
Sisältö
Practical project related to Data Engineering
Oppimateriaalit
Teacher provided lecture material
Supporting public online material
Teacher provided virtual machines
All needed material (or at least a link to them) will be available in itslearning.
Opetusmenetelmät
Contact learning, practical exercises, independent study
Pedagogiset toimintatavat ja kestävä kehitys
Given examples and exercises support each topic studied during the lectures. Additional material in the form of tutorials and reliable information sources is provided.
Opiskelijan ajankäyttö ja kuormitus
Contact hours 16 h
Inpendent studying 119h, including:
- Studying the course material
- Completing assignments
- Project
Sisällön jaksotus
-The basic idea of data engineering methods and pipelines
-different components
-integration of said components (MQ systems)
-data engineering frameworks (Apache family)
Viestintäkanava ja lisätietoja
Itslearning and contact classes are the main communication channels used on this course.
The student is required to have a computer capable of running a simple Ubuntu virtual machine.
Arviointiasteikko
H-5
Arviointimenetelmät ja arvioinnin perusteet
Assignments returned throughout the course
Small project at the end of the course