Big-Data infrastructure and services Course code: MR0019 | 8 ECTS credits

Basic information

Level of Studies: Master applied studies

Year of Study: 2

Semester: 3

Requirements:

Goal:

Outcome:

Contents of the course

Theoretical instruction:

Practical instruction (Problem solving sessions/Lab work/Practical training):

Textbooks and References

Hadley Wickham, Garrett Grolemund, R for Data Science: Import, Tidy, Transform, Visualize, and Model Data, O'Reilly Media, Inc., 2016.
Ivan Marin, Ankit Shukla, et al., Big Data Analysis with Python, Packt, Birmingham – Mumbai, 2019.
K Jain, Big Data and Hadoop, Khanna Publishing. Copyright., 2021.
Ian Witten, Eibe Frank, Mark Hall, Christopher Pal, Data Mining: Practical Machine Learning Tools andTechniques, 4th edition, Morgan Kaufmann, 2016.
G.Dimić, J.Mitić, MongoDB – Priručnik za laboratorijske vežbe.

Number of active classes (weekly)

Lectures: 4

Practical classes: 0

Other types of classes: 3

Grading (maximum number of points: 100)

Pre-exam obligations

Points

activities during lectures

activities on practial excersises

seminary work

colloquium

Final exam