Course: Data Structures

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Course title Data Structures
Course code KMI/DASTR
Organizational form of instruction Lecture + Exercise
Level of course Bachelor
Year of study 2
Semester Summer
Number of ECTS credits 4
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)
  • Bartl Eduard, doc. RNDr. Ph.D.
  • Osička Petr, Mgr. Ph.D.
Course content
unspecified

Learning activities and teaching methods
Lecture, Demonstration
Learning outcomes

2. Comprehension. Understand basic concepts of data structures.
Prerequisites
unspecified

Assessment methods and criteria
Oral exam, Written exam

Active participation in class. Completion of assigned homeworks. Passing the oral (or written) exam.
Recommended literature
  • Cormen, T. H., Leiserson C. E., Rivest D. L., Stein C. (2003). Introduction to Algorithms.
  • Kent D. Lee, Steve Hubbard. (2015). Data Structures and Algorithms with Python.
  • Knuth, D. (1997). The Art of Computer Programming, Volume 1, Fundamental Algorithms.
  • Okasaki, C. (2009). Purely Functional Data Structures.
  • Sedgewick, R. (2003). Algoritmy v C, části 1-4: základy, datové struktury, třídění, vyhledávání.. Praha.


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): Computer Science (2020) Category: Informatics courses 2 Recommended year of study:2, Recommended semester: Summer
Faculty: Faculty of Science Study plan (Version): Computer Science - Specialization in Programming and Software Development (2021) Category: Informatics courses 2 Recommended year of study:2, Recommended semester: Summer
Faculty: Faculty of Science Study plan (Version): Computer Science - Specialization in General Computer Science (2021) Category: Informatics courses 2 Recommended year of study:2, Recommended semester: Summer