851324 Big data
This page is available under these URLs:
- Project course
- Semester hours
- Lecturer (assistant)
- Leisch, Friedrich , Himmelbauer, Heinz , Michel, Sebastian , Dohm, Juliane
- Offered in
- Wintersemester 2022/23
- Languages of instruction
Clustering, random forests, k-nearest neighbors method, kernel
methods, sparse methods for high dimensional data.
Databases (big data) management, distributed file systems, Hadoop,
parallel, distributed, massive data processing with map reduce
This course will be offered via videoconference and tutorials in close cooperation with international partner universities and
accompanied by tutors at the host universities. The course is only available for students of the Erasmus mundus master program emplant+.
- Previous knowledge expected
Year 1 of the emplant+ Erasmus mundus program.
- Objective (expected results of study and acquired competences)
Students can store and handle big data sets in databases and analyse
them using supervised and unsupervised machine learning methods.
You can find more details like the schedule or information about exams on the course-page in BOKUonline.