Data-alustat (5cr)
Code: TT00CM57-3002
General information
- Enrollment
- 18.08.2025 - 21.09.2025
- Registration for the implementation has begun.
- Timing
- 01.08.2025 - 31.12.2025
- Implementation is running.
- Number of ECTS credits allocated
- 5 cr
- Local portion
- 5 cr
- Mode of delivery
- Contact learning
- Unit
- Teknologia
- Teaching languages
- Finnish
- Seats
- 0 - 100
- Degree programmes
- Bachelor’s Degree in Information and Communication Technology
Realization has 9 reservations. Total duration of reservations is 25 h 0 min.
| Time | Topic | Location |
|---|---|---|
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Mon 01.09.2025 time 17:00 - 20:00 (3 h 0 min) |
Data-alustat |
Teams
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Mon 08.09.2025 time 17:00 - 20:00 (3 h 0 min) |
Data-alustat |
Teams
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Mon 15.09.2025 time 17:00 - 20:00 (3 h 0 min) |
Data-alustat TT00CM57-3002 |
Teams
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Mon 22.09.2025 time 17:00 - 20:00 (3 h 0 min) |
Data-alustat TT00CM57-3002 |
Teams
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Mon 29.09.2025 time 17:00 - 20:00 (3 h 0 min) |
Data-alustat TT00CM57-3002 |
Teams
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Mon 06.10.2025 time 17:00 - 20:00 (3 h 0 min) |
Data-alustat TT00CM57-3002 |
Teams
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Mon 20.10.2025 time 17:00 - 20:00 (3 h 0 min) |
Data-alustat |
Teams
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Mon 27.10.2025 time 18:00 - 20:00 (2 h 0 min) |
Data-alustat |
Teams
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Mon 03.11.2025 time 18:00 - 20:00 (2 h 0 min) |
Data-alustat TT00CM57-3002 |
Teams
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Evaluation scale
0 - 5
Content scheduling
Kurssin ensimmäinen puolisko (noin 6 viikkoa); hankittu osaaminen todennetaan tentin avulla. Kurssin toinen puolisko (noin 4 viikkoa); hankittu osaaminen näytetään 10 minuutin videon avulla, jossa esittelet toteuttamasi, tehtävänannon mukaisen data-alustan.
Objective
The student understands the need for data platforms from the starting points of business success. The student knows how to utilize and develop modern data platforms and automate data processing and data analysis workflows (MLOps, DataOps) in order to make the work steps more efficient and improve the quality of the analysis.
Content
Best practices for data platform development, automation of data processing work steps and data platform architecture planning.
Materials
Linkit oppimateriaaliin, mahdollisiin luentojen tallenteisiin sekä lukuvinkit löytyvät Reppu-alustan "Aloita tästä"-osiosta.
Teaching methods
Teams-luennot, etukäteen nauhoitetut tutoriaalit sekä itsenäisesti tehtävät harjoitukset. Luentojen tallennekäytäntö sovitaan kurssin alussa yhteisesti.
Assessment criteria, satisfactory (1)
The student understands the importance of a data platform for business and can, with assistance, develop a simple data platform.
Assessment criteria, good (3)
The student understands the importance of the data platform, the automation of work steps and knows how to develop a data platform suitable for the company's needs.
Assessment criteria, excellent (5)
The student understands the importance of a data platform for business and knows how to implement a data platform that supports business. The student knows how to automate the work steps of data processing and refine raw data into a versatile data platform.