Current issues and data impactLaajuus (5 cr)
Code: DA00EK52
Credits
5 op
Teaching language
- Finnish
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?
Enrollment
06.11.2023 - 17.11.2023
Timing
08.01.2024 - 31.05.2024
Number of ECTS credits allocated
5 op
Virtual portion
5 op
Mode of delivery
Distance learning
Unit
Liiketalouden koulutusyksikkö
Campus
Ecampus
Teaching languages
- Finnish
Seats
20 - 60
Degree programmes
- Degree Programme in Data Analytics
Teachers
- Väinö Toots
Teacher in charge
Väinö Toots
Groups
-
DAKV23SVData analytics, online studies
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?
Materials
Web materials. The course also utilizes large language models (LLMs) so an prior access to a large language model (such as those provided by OpenAI) is beneficial.
Teaching methods
Individual learning tracks should always be discussed with the lecturers
Employer connections
The course may have assignments made for companies or assignments agreed individually with students.
Student workload
1 cr = 27 hours work
Evaluation scale
1-5
Assessment methods and criteria
Final grade is based on the evaluation of the final project(s)
Enrollment
07.11.2022 - 18.11.2022
Timing
01.01.2023 - 01.05.2023
Number of ECTS credits allocated
5 op
Mode of delivery
Contact teaching
Unit
Liiketalouden koulutusyksikkö
Campus
Kouvola Campus
Teaching languages
- Finnish
Seats
20 - 60
Degree programmes
- Degree Programme in Data Analytics
Teachers
- Juuso Koponen
- Väinö Toots
Groups
-
DAKV22SMData analytics, part-time
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?
Materials
Web materials
Teaching methods
Individual learning tracks should always be discussed with the lecturers
Employer connections
The course may have assignments made for companies or assignments agreed individually with students.
Student workload
1 cr = 27 hours work
Evaluation scale
1-5
Assessment methods and criteria
There are multiple lecturers in the course and final evaluation is based on the individual evaluations of the lecturers and the evaluation of the final project(s)
Enrollment
08.11.2021 - 21.11.2021
Timing
01.01.2022 - 01.05.2022
Number of ECTS credits allocated
5 op
Virtual portion
3 op
Mode of delivery
40 % Contact teaching, 60 % Distance learning
Campus
Kouvola Campus
Teaching languages
- Finnish
Seats
20 - 40
Degree programmes
- Degree Programme in Data Analytics
Teachers
- Juuso Koponen
- Väinö Toots
Groups
-
DAKV21SPData-analytics, full-time studies
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?
Materials
Web materials
Teaching methods
Individual learning tracks should always be discussed with the lecturers
Employer connections
The course may have assignments made for companies or assignments agreed individually with students.
Student workload
1 cr = 27 hours work
Evaluation scale
1-5
Assessment methods and criteria
There are multiple lecturers in the course and final evaluation is based on the individual evaluations of the lecturers and the evaluation of the final project(s)