Basic skills for Data Management (5 cr)
Code: TT00CN80-3002
General information
Enrollment
01.06.2024 - 03.09.2024
Timing
03.09.2024 - 13.12.2024
Number of ECTS credits allocated
5 op
Mode of delivery
Contact teaching
Unit
Engineering and Business
Campus
Kupittaa Campus
Teaching languages
- English
Seats
30 - 65
Degree programmes
- Degree Programme in Information and Communication Technology
- Degree Programme in Business Information Technology
Teachers
- Matti Kuikka
- Tommi Tuomola
Teacher in charge
Matti Kuikka
Scheduling groups
- Pienryhmä 1 (Size: 35. Open UAS: 0.)
- Pienryhmä 2 (Size: 35. Open UAS: 0.)
Groups
-
PTIETS23deaiData Engineering and Artificial Intelligence
-
PTIVIS23IData Engineering and Artificial Intelligence
Small groups
- Sub group 1
- Sub group 2
- 03.09.2024 09:00 - 10:00, Theory, Basic skills for Data Management TT00CN80-3002
- 03.09.2024 10:00 - 12:00, Practice, subgroup 2, Basic skills for Data Management TT00CN80-3002
- 03.09.2024 10:00 - 12:00, Practice, subgroup 1, Basic skills for Data Management TT00CN80-3002
- 10.09.2024 09:00 - 10:00, Theory, Basic skills for Data Management TT00CN80-3002
- 10.09.2024 10:00 - 12:00, Practice, subgroup 1, Basic skills for Data Management TT00CN80-3002
- 10.09.2024 10:00 - 12:00, Practice, subgroup 2, Basic skills for Data Management TT00CN80-3002
- 11.09.2024 11:00 - 12:00, Optional Online: Q&A, Basic skills for Data Management TT00CN80-3002
- 17.09.2024 09:00 - 10:00, Theory, Basic skills for Data Management TT00CN80-3002
- 17.09.2024 10:00 - 12:00, Practice, subgroup 2, Basic skills for Data Management TT00CN80-3002
- 17.09.2024 10:00 - 12:00, Practice, subgroup 1, Basic skills for Data Management TT00CN80-3002
- 18.09.2024 11:00 - 12:00, Q&A, Basic skills for Data Management TT00CN80-3002
- 24.09.2024 09:00 - 10:00, Theory, Basic skills for Data Management TT00CN80-3002
- 24.09.2024 10:00 - 12:00, Practice, subgroup 1, Basic skills for Data Management TT00CN80-3002
- 24.09.2024 10:00 - 12:00, Practice, subgroup 2, Basic skills for Data Management TT00CN80-3002
- 25.09.2024 12:00 - 13:00, Q&A, Basic skills for Data Management TT00CN80-3002
- 01.10.2024 09:00 - 10:00, Theory, Basic skills for Data Management TT00CN80-3002
- 01.10.2024 10:00 - 12:00, Practice, subgroup 1, Basic skills for Data Management TT00CN80-3002
- 01.10.2024 10:00 - 12:00, Practice, subgroup 2, Basic skills for Data Management TT00CN80-3002
- 02.10.2024 12:00 - 13:00, Q&A, Basic skills for Data Management TT00CN80-3002
- 08.10.2024 09:00 - 10:00, Theory, Basic skills for Data Management TT00CN80-3002
- 08.10.2024 10:00 - 12:00, Practice, subgroup 1, Basic skills for Data Management TT00CN80-3002
- 08.10.2024 10:00 - 12:00, Practice, subgroup 2, Basic skills for Data Management TT00CN80-3002
- 09.10.2024 13:00 - 14:00, Q&A, Basic skills for Data Management TT00CN80-3002
- 22.10.2024 09:00 - 10:00, Theory, Basic skills for Data Management TT00CN80-3002
- 22.10.2024 10:00 - 12:00, Practice, subgroup 2, Basic skills for Data Management TT00CN80-3002
- 23.10.2024 12:00 - 14:00, Practice, subgroup 1, Basic skills for Data Management TT00CN80-3002
- 24.10.2024 08:00 - 09:00, Q&A, Basic skills for Data Management TT00CN80-3002
- 29.10.2024 09:00 - 10:00, Theory, Basic skills for Data Management TT00CN80-3002
- 29.10.2024 10:00 - 12:00, Practice, subgroup 2, Basic skills for Data Management TT00CN80-3002
- 29.10.2024 10:00 - 12:00, Practice, subgroup 1, Basic skills for Data Management TT00CN80-3002
- 30.10.2024 12:00 - 13:00, Q&A, Basic skills for Data Management TT00CN80-3002
- 05.11.2024 09:00 - 10:00, Theory, Basic skills for Data Management TT00CN80-3002
- 05.11.2024 10:00 - 12:00, Practice, subgroup 2, Basic skills for Data Management TT00CN80-3002
- 05.11.2024 10:00 - 12:00, Practice, subgroup 1, Basic skills for Data Management TT00CN80-3002
- 06.11.2024 12:00 - 13:00, Q&A, Basic skills for Data Management TT00CN80-3002
- 12.11.2024 09:00 - 10:00, Theory, Basic skills for Data Management TT00CN80-3002
- 12.11.2024 10:00 - 12:00, Practice, subgroup 1, Basic skills for Data Management TT00CN80-3002
- 12.11.2024 10:00 - 12:00, Practice, subgroup 2, Basic skills for Data Management TT00CN80-3002
- 13.11.2024 12:00 - 13:00, Q&A, Basic skills for Data Management TT00CN80-3002
- 19.11.2024 09:00 - 10:00, Theory, Basic skills for Data Management TT00CN80-3002
- 19.11.2024 10:00 - 12:00, Practice, subgroup 2, Basic skills for Data Management TT00CN80-3002
- 19.11.2024 10:00 - 12:00, Practice, subgroup 1, Basic skills for Data Management TT00CN80-3002
- 20.11.2024 09:00 - 10:00, Q&A, Basic skills for Data Management TT00CN80-3002
- 26.11.2024 09:00 - 10:00, Theory, Basic skills for Data Management TT00CN80-3002
- 26.11.2024 10:00 - 12:00, Practice, subgroup 1, Basic skills for Data Management TT00CN80-3002
- 26.11.2024 10:00 - 12:00, Practice, subgroup 2, Basic skills for Data Management TT00CN80-3002
- 27.11.2024 09:00 - 10:00, Q&A, Basic skills for Data Management TT00CN80-3002
- 03.12.2024 10:00 - 13:00, Exam, Basic skills for Data Management TT00CN80-3002
Objective
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
Content
Introduction to data management
Data storage formats
Data storage
Introduction to data processing
Linear algebra
Data management tools
Materials
Material available via the learning environment (ITS).
Teaching methods
Weekly contact sessions when 3 hours for theory and practical exercises.
Exam schedules
Exam in Week 49.
Retake exam in January 2025.
International connections
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.
Student workload
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
Content scheduling
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
Week 49: Exam
Further information
Additional information is share via ITS
Evaluation scale
H-5
Assessment methods and criteria
You can achieve points from participation, exercises, participation and exam:
- 20% points from participation
- 50% points from practical exercises in class room and home work
- 30% points from the exam
Assessment:
- Participation and exercise (50% of total to pass): Students must achieve at least 50% of the points to pass the course.
- Exam (50% of total points to pass): Students must achieve at least 50% of the points in order to pass the course.
The course is graded on a scale of 0-5.
Grading will be according to the total points collected by the student during the course as well as the exam.
1: 50% (minimum to pass the course)
2: 60-70%
3: 70-80%
4: 80-90%
5: 90- 100%
Assessment criteria, fail (0)
Less than 50% points
Assessment criteria, satisfactory (1-2)
50 - 69% points
Assessment criteria, good (3-4)
70 - 89% points
Assessment criteria, excellent (5)
At least 90% points