UIINFNP005 Advanced Data Processing

Faculty of Philosophy and Science in Opava
Winter 2025
Extent and Intensity
2/2/0. 6 credit(s). Type of Completion: zk (examination).
Teacher(s)
RNDr. Radka Poláková, Ph.D. (lecturer)
Mgr. Jan Schreier (lecturer)
Mgr. Jan Schreier (seminar tutor)
Guaranteed by
Mgr. Jan Schreier
Institute of Computer Science – Faculty of Philosophy and Science in Opava
Timetable
Thu 16:25–18:00 LEI
  • Timetable of Seminar Groups:
UIINFNP005/A: Thu 18:05–19:40 LEI, J. Schreier
Course Enrolment Limitations
The course is also offered to the students of the fields other than those the course is directly associated with.
fields of study / plans the course is directly associated with
Course objectives
The aim of the course is to understand the concepts of Big Data, NoSQL databases, and machine learning, learn to use modern technologies for processing them, understand their integration, and acquire practical skills in their applications, including data analysis, visualization, and security.
Learning outcomes
Students will gain both theoretical and practical knowledge in the areas of Big Data, NoSQL databases, and machine learning, including the ability to work with modern technologies such as Hadoop, Spark, and MongoDB.
Syllabus
1. Introduction, Big Data 2. Big Data Technologies 3. Optimization and Scaling of Big Data Systems 4. NoSQL, Types of NoSQL Databases 5. Working with NoSQL Databases 6. Basics of Machine Learning 7. Big Data and Machine Learning 8. Data Analysis of Big Data using Machine Learning Algorithms 9. Data Visualization 10. Security in Big Data and Machine Learning 11. Trends in Big Data and Machine Learning
Assessment methods
• Credit – Project for credit • Exam – Written exam
Language of instruction
Czech
The course is also listed under the following terms Winter 2021, Winter 2022, Winter 2023, Winter 2024.
  • Enrolment Statistics (recent)
  • Permalink: https://is.slu.cz/course/fpf/winter2025/UIINFNP005