Current issues and data impact (5 cr)
Code: DA00EK52-3004
General information
- Enrollment
-
04.11.2024 - 17.11.2024
Registration for the implementation has ended.
- Timing
-
20.01.2025 - 02.05.2025
Implementation is running.
- Number of ECTS credits allocated
- 5 cr
- Local portion
- 0 cr
- Virtual portion
- 5 cr
- Mode of delivery
- Distance learning
- Unit
- Department of Business
- Campus
- Ecampus
- Teaching languages
- Finnish
- Seats
- 20 - 60
- Degree programmes
- Degree Programme in Data Analytics
- Teachers
- Tuomo Kettula
- Teacher in charge
- Tuomo Kettula
- Groups
-
DAKV24SVData analytics, online studies
- Course
- DA00EK52
Realization has 3 reservations. Total duration of reservations is 4 h 30 min.
| Time | Topic | Location |
|---|---|---|
|
Fri 31.01.2025 time 12:50 - 14:20 (1 h 30 min) |
Ajankohtaiset kysymykset ja datavaikuttaminen DA00EK52-3004 |
Etäopetus lukujärjestyksen mukaan
|
|
Fri 21.02.2025 time 12:50 - 14:20 (1 h 30 min) |
Ajankohtaiset kysymykset ja datavaikuttaminen DA00EK52-3004 |
Etäopetus lukujärjestyksen mukaan
|
|
Fri 11.04.2025 time 12:50 - 14:20 (1 h 30 min) |
Ajankohtaiset kysymykset ja datavaikuttaminen DA00EK52-3004 |
Etäopetus lukujärjestyksen mukaan
|
Objective
You familiarize yourself with the topics from a data perspective. You can search for hot topics and related discussions and conversations about different services. You understand how data can be used to make an impact.
Content
What issues have been and are being talked about? How has the conversation been affected by data? How can I search for data about interesting discussion topics to describe the topic and the data in the discussion? What does social media automation mean?
Course material
Materials and tasks on the Learn platform.
Study forms and methods
Individual learningmethods are discussed with the teacher separately. For example, it may be possible to carry out assignments from the workplace as part of the studies on the course.
RDI and work-related cooperation
The course can include assignments made jointly for companies or assignments agreed for each student.
Student workload
5 ECTS credits correspond to 135 hours of student work.
Evaluation scale
1-5
Assessment methods and criteria
The assessment is based on assignments submitted during the course. The assessment criteria and task-specific weights are explained on the Learn platform.