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Basic skills for Data Management (5 op)

Toteutuksen tunnus: TT00CN80-3003

Toteutuksen perustiedot


Ilmoittautumisaika
01.06.2025 - 02.09.2025
Ilmoittautuminen toteutukselle ei ole vielä alkanut.
Ajoitus
01.09.2025 - 21.12.2025
Toteutus ei ole vielä alkanut.
Opintopistemäärä
5 op
Lähiosuus
5 op
Toteutustapa
Lähiopetus
Yksikkö
Tekniikka ja liiketoiminta
Toimipiste
Kupittaan kampus
Opetuskielet
englanti
Paikat
25 - 65
Koulutus
Tietojenkäsittelyn koulutus
Tieto- ja viestintätekniikan koulutus
Opettajat
Matti Kuikka
Sanna Määttä
Ajoitusryhmät
Pienryhmä 1 (Koko: 35 . Avoin AMK : 0.)
Pienryhmä 2 (Koko: 35 . Avoin AMK : 0.)
Ryhmät
DEAI24A
Data Engineering and Artificial Intelligence
DEAI24B
Data Engineering and Artificial Intelligence
Pienryhmät
Pienryhmä 1
Pienryhmä 2
Opintojakso
TT00CN80
Toteutukselle TT00CN80-3003 ei löytynyt varauksia!

Arviointiasteikko

H-5

Sisällön jaksotus

Weeks 36 - 48:
Introduction to data management
Introduction to Jupyter Notebook
Data storage formats
Basics of linear algebra (vectors, matrices, linear equations)
Data processing and visualization with Python
Basics of virtualization and Linux shell commands
Working with databases with Python
Recap
Week 49: Exam

Tavoitteet

After completing the course the student can:
- Describe how data can be managed and processed
- Describe how data can be stored in various places and formats
- Manage and analyze data with suitable tools
- Utilize data management tools to process data
- Understand and describe how mathematics can be used for data management

Sisältö

Introduction to data management
Data storage formats
Data storage
Introduction to data processing
Linear algebra
Data management tools

Oppimateriaalit

Material available via the learning environment (ITS).

Opetusmenetelmät

Weekly contact lessons:
- 2h Q&A and theory, where in the 1st hour students can ask about assignments and topics in presented theory that was unclear
- 2h practice where student work with lesson assignments and home work assignments are presented

Tenttien ajankohdat ja uusintamahdollisuudet

Exam in Week 49.
Retake exams in January and May 2026.

Kansainvälisyys

The course has Q&A and theory lessons and guided assignment lessons where students work with practical tasks.
Assignments are done both during lessons and as home work.
Lesson assignments should be completed during the lessons.
Example answers of lesson assignments are presented during practice sessions but not revealed in ITS.
Home work assignments need be completed within two weeks.
Example answers of home work assignments are revealed after the deadlines and then students complete peer reviews.

Sustainability: ...

Toteutuksen valinnaiset suoritustavat

No.

Opiskelijan ajankäyttö ja kuormitus

Contact hours
- Course introduction: 2h
- 11 times 1h Q&A: 11 x 1h = 11 hours (groups together)
- 11 times 1h theory: 11 x 1h = 11 hours (groups together)
- 11 times 2h practice: 11 x 2h = 22 hours (in own group)
- Exam: 2 hours
TOTAL: 48 hours

Home and independent work: approximately 85 hours

Lisätiedot

Additional information is shared via ITS that is the main communication channel.

Use of AI in assignments: USE OF AI REPORTED.
AI can be used in the creation of outputs, but student must clearly report its use. Failure to disclose the use of AI will be interpreted as fraud. The use of AI may affect to assessment.

Use of AI in exam: USE OF AI PROHIBITED.
The output must be created without the help of AI. The student should use only their own knowledge, understanding and skills. The use of AI is forbidden for a justified reason and will be interpreted as fraud.

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