Basic skills for Data Management (5 op)

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
Introduction to databases
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 sessions when 3 hours for theory and practical exercises.

Tenttien ajankohdat ja uusintamahdollisuudet

Exam in Week 49.
Retake exam in January 2025.

Kansainvälisyys

The course includes approximately 12 theory sessions and guided exercises sessions where students work with practical tasks.
Around half of the exercises are done during the contact hours.
Additionally, exercises for home work that will be partly demonstrated in during contact sessions.

Opiskelijan ajankäyttö ja kuormitus

Contact hours
- 12 times 1h theory: 12 x 1h = 12 hours (groups together)
- 12 times 2h practice: 12 x 2h = 24 hours (in own group)
- Exam: 2 hours
- 1h Q&A sessions 5-6 times = 5 hours
TOTAL: 43 hours

Home and independent work: approximately 90 hours

Total: approximately: 130 hours

Lisätiedot

Additional information is share via ITS