Courses – Fakultet tehničkih nauka u Novom Sadu

Subject: Big Data Architectures (17.RVP04)

Type of studies	Title
Master Academic Studies	Computing and Control Engineering (Year: 1, Semester: Winter)
Master Academic Studies	Information Engineering (Year: 1, Semester: Winter)
Master Academic Studies	Artificial Intelligence and Machine Learning (Year: 1, Semester: Winter)
Master Academic Studies	Information and Analytics Engineering (Year: 1, Semester: Winter)

General information:

Category	Professional-applicative
Scientific or art field	Applied Computer Science and Informatics
ECTS	6

Understanding of concepts and methods in computer systems for Big Data processing and learning techniques for problem solving in this domain.

Students acquire advanced knowledge about development, architectures, and applications of Big Data systems. Acquired knowledge is used in practice and follow-on courses HPC in Scientific Computing and HPC in Data Science.

Concepts and methods in Big Data processing. Computer systems and algorithms for Big Data processing. Layers in Big Data systems (batch, serving, and speed). Fundamentals of Hadoop. Hadoop components - MapReduce system for data processing, HDFS file system, and YARN cluster resource management system. Effiecient searching through large datasets (Elasticsearch). Fundamentals of Big Data applications in scientific computing and data science.

Teaching is performed through lessons, oral, and computer exercises (in the computer classroom), as well as consultations. Through the teaching process, students are constantly motivated to an intensive discussion, problem oriented reasoning, independent study work, and active participation in the whole lecturing process. The prerequisite to enter final exam is to complete all the pre-exam assignments by earning at least 30 points.

Authors	Title	Year	Publisher	Language
White, T.	Hadoop: The Definitive Guide	2015	OReilly Media	English
Marz, N., Warren, J.	Big Data : Principles and best practices of scalable realtime data systems	2015	Manning Publications, New York	English