Data analytics and programmingLaajuus (5 cr)
Code: OT00EK11
Credits
5 op
Objective
You understand the application areas of data-analytics.
You are able to collect, pre-process, process, store, and visualize data.
You are able to implement a data-analytics application.
Content
What kind of problems can data-analytics solve?
What steps are there in data processing and analytics?
How do you implement a data-analytics application using libraries and interfaces in a programming language?
How do you utilize open databases and interfaces to collect data?
Enrollment
08.04.2024 - 21.04.2024
Timing
01.08.2024 - 31.12.2024
Number of ECTS credits allocated
5 op
Mode of delivery
Contact teaching
Unit
Informaatioteknologian koulutusyksikkö
Campus
Mikkeli Campus
Teaching languages
- Finnish
Seats
15 - 40
Degree programmes
- Degree programme in software engineering
Teachers
- Ohjelmointi ITY
- Tuomas Reijonen
Groups
-
OTMI22SPSoftware Engineering, full-time studies
Objective
You understand the application areas of data-analytics.
You are able to collect, pre-process, process, store, and visualize data.
You are able to implement a data-analytics application.
Content
What kind of problems can data-analytics solve?
What steps are there in data processing and analytics?
How do you implement a data-analytics application using libraries and interfaces in a programming language?
How do you utilize open databases and interfaces to collect data?
Evaluation scale
1-5
Enrollment
06.04.2023 - 21.04.2023
Timing
04.09.2023 - 15.12.2023
Number of ECTS credits allocated
5 op
Mode of delivery
Contact teaching
Unit
Informaatioteknologian koulutusyksikkö
Campus
Mikkeli Campus
Teaching languages
- Finnish
Seats
20 - 40
Degree programmes
- Degree programme in software engineering
Teachers
- Tuomas Reijonen
Teacher in charge
Tuomas Reijonen
Groups
-
OTMI21SPSoftware Engineering, full-time studies
Objective
You understand the application areas of data-analytics.
You are able to collect, pre-process, process, store, and visualize data.
You are able to implement a data-analytics application.
Content
What kind of problems can data-analytics solve?
What steps are there in data processing and analytics?
How do you implement a data-analytics application using libraries and interfaces in a programming language?
How do you utilize open databases and interfaces to collect data?
Opiskelumateriaali
Sovitaan opintojakson alussa
Yksilölliset oppimisväylät
Sovitaan opintojakson alussa
Tentit ja muut määräajat
Sovitaan opintojakson alussa
Evaluation scale
1-5