Big data processing and applications
Max amounts of FITech students: 30
Persons without a valid study right at a Finnish university or university of applied sciences have preference to this course.
During this course, the student gets familiar with the concept of “Big data” and different phenomena related to it, including requirements and principles for data intensive systems and their implementation as well as benefits, risks and restrictions of available big data solutions.
Course topics include general introduction into big data, namely: big data fundamentals, data storage, batch and stream data processing, data analysis, privacy and security, big data use cases.
Upon completion of the course, the student
- can identify real life cases where big data solutions are needed and design basic solutions to big data problems.
- is able to explain the big data phenomenon, its challenges and opportunities
- is able to explain the requirements and common principles for data intensive systems design and implementation, and evaluate the benefits, risks and restrictions of available solutions
- can explain the principles of big data management and processing technologies and utilize them on a basic level.
The course includes face-to-face teaching, lectures, exercises, seminars as well as independent and group work. Also online possibilities within the course schedule.
This course assesses students continuously with completion of a small project work, seminar presentations (mandatory participation on scheduled time, see Peppi link below) and short reports on a selected topic (group work). Answering two quizzes during the course is optional and provides additional points for final grade. To pass the course, it is enough to get 50 % of available points. The course doesn’t have an exam.
More information in the University of Oulu study guide.
You can get a digital badge after completing this course.
data-analytiikka data-analyysi massadata datan käsittely data science data processing
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