Towards data mining
Yksittäinen kurssi
Max amount of FITech students: 30
Persons without a valid study right to a Finnish university have preference to this course.
Amount and quality of data plays a major role in modern machine learning applications. In this course the students are familiarised with different concepts concerning data such as: data gathering, data preprocessing and normalisation, combining data from multiple sources, missing data and outliers.
After this course the student has good capabilities to identify use cases for data that has been gathered in industrial environment or organise high-quality data gathering for new applications.
Teaching methods
The course can be studied at student’s own pace, but two assignment submissions are scheduled each week. Moodle exam possibility for FITech students (please be in touch with the contact person of the course).
More information in the University of Oulu study guide.
You can get a digital badge after completing this course.
datanlouhinta datan kokoaminen poikkeavat arvot esikäsittely koneoppiminen tekoäly machine learning artificial intelligence R-kieli R language
Responsible teacher
Lisätietoa opinnoista
Contact person for applications
Tekoäly ja koneoppiminen
Tutkinto-opiskelija
