PV177 Laboratory of Advanced Network Technologies

Faculty of Informatics
Spring 2025
Extent and Intensity
0/2/0. 2 credit(s). Type of Completion: z (credit).
In-person direct teaching
Teacher(s)
doc. RNDr. Eva Hladká, Ph.D. (lecturer)
RNDr. Tomáš Rebok, Ph.D. (lecturer)
RNDr. Martin Ukrop, Ph.D. (lecturer)
RNDr. Daniel Kouřil, Ph.D. (seminar tutor)
RNDr. Jaroslav Ráček, Ph.D. (seminar tutor)
Guaranteed by
doc. RNDr. Eva Hladká, Ph.D.
Department of Computer Systems and Communications – Faculty of Informatics
Contact Person: doc. RNDr. Eva Hladká, Ph.D.
Supplier department: Department of Computer Systems and Communications – Faculty of Informatics
Prerequisites
SOUHLAS
Premises of the subject are judged by teachers and registration is possible only with their agreement.
Course Enrolment Limitations
The course is also offered to the students of the fields other than those the course is directly associated with.
The capacity limit for the course is 60 student(s).
Current registration and enrolment status: enrolled: 0/60, only registered: 0/60, only registered with preference (fields directly associated with the programme): 0/60
fields of study / plans the course is directly associated with
there are 37 fields of study the course is directly associated with, display
Course objectives
Familiarization with the area and practical (team) project aimed at adopting the principles in one of the areas, which the course is specialized on in the particular semester.
In current semester, the course is specialized in the following area:
The area will be added later.
Learning outcomes
After graduation this course student will be able deeper understanding study domain including specific used methods and tools and will be able to work with this tools.
Syllabus
  • The course haz variable number of seminary groups with different subjet frorom areas: 1. Computer networks and technologies 2. Security in networks and other areas 3. Large data 4. Cloud technologies Concrete outline is fulfilled by teachers on the beginning of the semester.
Literature
  • https://www.knime.com/knime-analytics-platform
Teaching methods
Lectures, exercises, work in group, separate work on concrete homework.
Assessment methods
Final project and written test.
Náhradní absolvování
The course is possible to pass individually after teachers agreement.
Language of instruction
English
Further comments (probably available only in Czech)
The course is taught each semester.
The course is taught: every week.
Teacher's information
The course is possible to study each semester and is fulfill by concrete seminars in above defined areas.
The course is also listed under the following terms Autumn 2005, Spring 2006, Autumn 2006, Spring 2007, Autumn 2007, Spring 2008, Autumn 2008, Spring 2009, Autumn 2009, Spring 2010, Autumn 2010, Spring 2011, Autumn 2011, Spring 2012, Autumn 2012, Spring 2013, Autumn 2013, Spring 2014, Autumn 2014, Spring 2015, Autumn 2015, Spring 2016, Autumn 2016, Spring 2017, Autumn 2017, Spring 2018, Autumn 2018, Spring 2019, Autumn 2019, Spring 2020, Autumn 2020, Spring 2021, Autumn 2021, Spring 2022, Autumn 2022, Spring 2023, Autumn 2023, Spring 2024, Autumn 2024.
  • Enrolment Statistics (recent)
  • Permalink: https://is.muni.cz/course/fi/spring2025/PV177