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
-
DEAI24AData Engineering and Artificial Intelligence
-
DEAI24BData Engineering and Artificial Intelligence
- Pienryhmät
- Pienryhmä 1
- Pienryhmä 2
- Opintojakso
- TT00CN80
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.