Data analytics and programming (5 cr)
Code: OT00EK11-3001
General information
- Enrollment
-
06.04.2023 - 21.04.2023
Registration for the implementation has ended.
- Timing
-
04.09.2023 - 15.12.2023
Implementation has ended.
- Number of ECTS credits allocated
- 5 cr
- Local portion
- 5 cr
- Mode of delivery
- Contact learning
- Unit
- Department of Information Technology
- 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
- Course
- OT00EK11
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
Students can
a. use professional vocabulary systematically.
b. look for information in the key information sources of the field.
c. identify interrelated tasks.
e. use the key models, methods, software and techniques of the professional field
Course material
Sovitaan opintojakson alussa
Study forms and methods
Sovitaan opintojakson alussa
Timing of exams and assignments
Sovitaan opintojakson alussa
Evaluation scale
1-5