Data-Analysis and Machine Learning Basics (4 cr)
Code: C-02504-TTC8020-3010
General information
- Enrollment
-
18.11.2024 - 09.01.2025
Registration for the implementation has ended.
- Timing
-
24.03.2025 - 30.04.2025
Implementation is running.
- Number of ECTS credits allocated
- 4 cr
- Local portion
- 4 cr
- Institution
- Jyväskylä University of Applied Sciences, Opintojakso toteutetaan kevätlukukaudella 2025.
- Teaching languages
- English
- Seats
- 0 - 5
- Course
- C-02504-TTC8020
Evaluation scale
0-5
Location and time
The course will be implemented in the spring semester of 2025.
Materials
Materiaali harjoitustehtäviä ja opiskeltavia asiasisältöjä varten jaetaan kurssin aikana.
Teaching methods
Virtual study including doing assignments and familiarizing yourself with related lecture and example materials. Assignments are mainly done as group work.
Employer connections
The aim is to connect the content of the course to problems that occur in working life.
Completion alternatives
The admission procedures are described in the degree rule and the study guide. The teacher of the course will give you more information on possible specific course practices.
Student workload
The workload of one credit corresponds to 27 hours of study. The total amount of study work (4 ECTS) in the course is 108 hours.