Course: Parallel and Distributed Systems

« Back
Course title Parallel and Distributed Systems
Course code KMI/PDS
Organizational form of instruction Lecture + Lesson
Level of course Master
Year of study 1
Semester Winter
Number of ECTS credits 5
Language of instruction Czech
Status of course Compulsory-optional
Form of instruction Face-to-face
Work placements This is not an internship
Recommended optional programme components None
Lecturer(s)
  • Tříska Jan, Mgr. Ph.D.
  • Osička Petr, Mgr. Ph.D.
  • Mikula Tomáš, Mgr.
  • Trnečka Martin, RNDr. Ph.D.
  • Urbanec Tomáš, Mgr.
Course content
unspecified

Learning activities and teaching methods
Lecture, Demonstration
Learning outcomes

Comprehention: Design correct parallel or distributed algorithm.
Prerequisites
unspecified

Assessment methods and criteria
Oral exam, Written exam

Active participation in class. Completion of assigned homeworks. Passing the oral and written exam.
Recommended literature
  • ANDREWS G. R. (2000). Multithreaded, Parallel, and Distributed Programming. Addison-Wesley.
  • Ben-Ari M. (2006). Principles of concurrent and distributed programming. Addison-Wesley.
  • Ghos, S. (2007). Distributed systems. Chapman & Hall/CRC.
  • Kshemkalyani, A.D., Singhal, M. (2008). Distributed computing. Cambridge University Press.
  • Nancy A. Lynch. (1996). Distributed Algorithms.
  • Tel G. (2001). Introduction to Distributed Algorithms. Cambridge University Press.
  • van Steen. M, Tanenbaum A. (2017). Distributed Systems. CreateSpace Independent Publishing Platform.


Study plans that include the course
Faculty Study plan (Version) Category of Branch/Specialization Recommended year of study Recommended semester
Faculty: Faculty of Science Study plan (Version): Applied Computer Science - Specialization in Software Development (2024) Category: Informatics courses 1 Recommended year of study:1, Recommended semester: Winter
Faculty: Faculty of Science Study plan (Version): Computer Science - Specialization in Artificial Intelligence (2020) Category: Informatics courses 1 Recommended year of study:1, Recommended semester: Winter
Faculty: Faculty of Science Study plan (Version): Applied Computer Science - Specialization in Computer Systems and Technologies (2024) Category: Informatics courses 1 Recommended year of study:1, Recommended semester: Winter
Faculty: Faculty of Science Study plan (Version): Computer Science - Specialization in General Computer Science (2020) Category: Informatics courses 1 Recommended year of study:1, Recommended semester: Winter