IB114 Introduction to Programming and Algorithms II

Faculty of Informatics
Spring 2025
Extent and Intensity
2/1/0. 3 credit(s) (plus extra credits for completion). Type of Completion: zk (examination).
prof. RNDr. Ivana Černá, CSc. (lecturer)
prof. RNDr. Jiří Barnat, Ph.D. (seminar tutor)
RNDr. Jaromír Plhák, Ph.D. (seminar tutor)
Guaranteed by
prof. RNDr. Ivana Černá, CSc.
Department of Computer Science – Faculty of Informatics
Supplier department: Department of Computer Science – Faculty of Informatics
( IB111 Foundations of Programming || IB113 Intro to Programming & Algs ) && ! IB002 Algorithms I && ! NOW ( IB002 Algorithms I )
This course is intended for the study program Cybersecurity. Students enrolled in programs Informatics and Programming and Application Development are recommended IB002 instead. IB002 graduates can have IB114 recognized.
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 130 student(s).
Current registration and enrolment status: enrolled: 0/130, only registered: 0/130, only registered with preference (fields directly associated with the programme): 0/130
fields of study / plans the course is directly associated with
there are 11 fields of study the course is directly associated with, display
Course objectives
The course presents basic data structures and algorithms. Students should correctly apply the basic data structures and algorithms as well as apply the algorithm design and analysis techniques when designing new algorithms. Students implement their algorithms in programming language Python.
Learning outcomes
After enrolling the course students are able to:
- actively use basic sorting algorithms and graph algorithms,
- actively design simple algorithms,
- actively used basic static and dynamic data structures,
- employ time complexity and correctness of algorithms,
- implement simple algorithms in the selected programming language (Python).
  • Basic analysis of algorithms. The correctness of algorithms, input and output conditions, partial correctness, convergence, verification.
  • Length of computation, algorithm complexity, problem complexity. Asymptotical analysis of time and space complexity, growth of functions.
  • Fundamental data structures. Lists, queues. Representation of sets, hash tables. Binary heaps. Binary search trees.
  • Sorting algorithms. Quicksort, Mergesort, Heapsort.
  • Graphs and their representation. Graph search. Depth-first traversal and Breadth-first traversal, applications.
    recommended literature
  • CORMEN, Thomas H. Introduction to algorithms. 3rd ed. Cambridge, Mass.: MIT Press, 2009, xix, 1292. ISBN 9780262533058. URL info
Teaching methods
The course is organized as a series of lectures accompanied by exercises.
Assessment methods
The evaluation consists of a written final exam and written exams during the term. Details can be found in learning materials https://is.muni.cz/auth/el/1433/jaro2021/IB114/index.qwarp
Language of instruction
Further Comments
The course is taught annually.
The course is taught: every week.
Listed among pre-requisites of other courses
Teacher's information
The course is also listed under the following terms Spring 2020, Spring 2021, Spring 2022, Spring 2023, Spring 2024.
  • Enrolment Statistics (Spring 2025, recent)
  • Permalink: https://is.muni.cz/course/fi/spring2025/IB114