PB111 Principles of low-level programming

Faculty of Informatics
Spring 2024
Extent and Intensity
2/2/1. 4 credit(s) (plus extra credits for completion). Recommended Type of Completion: zk (examination). Other types of completion: z (credit).
Teacher(s)
RNDr. Petr Ročkai, Ph.D. (lecturer)
Mgr. Adam Matoušek (lecturer)
Mgr. František Bráblík (seminar tutor)
Tomáš Pavlík (seminar tutor)
Bc. Vladimír Uhlík (seminar tutor)
Nikola Davidová (assistant)
Mgr. Samuel Gorta (assistant)
Jindřich Halabala (assistant)
Adam Haluška (assistant)
Ján Kapko (assistant)
Ivan Kushpel (assistant)
Kryštof Matuštík (assistant)
Ján Murin (assistant)
Marcel Nadzam (assistant)
Guaranteed by
RNDr. Petr Ročkai, Ph.D.
Department of Computer Systems and Communications – Faculty of Informatics
Supplier department: Department of Computer Systems and Communications – Faculty of Informatics
Timetable
Tue 10:00–11:50 D1
  • Timetable of Seminar Groups:
PB111/01: Wed 12:00–13:50 B130, A. Matoušek
PB111/02: Thu 8:00–9:50 A219, F. Bráblík
PB111/03: Tue 14:00–15:50 A219, V. Uhlík
PB111/04: Tue 8:00–9:50 B011, T. Pavlík
Prerequisites
IB015 Non-Imperative Programming || IB111 Foundations of Programming
Ability to apply basic elements of programming – control flow, data definitions, abstraction, decomposition, recursion.
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: 26/60, 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 40 fields of study the course is directly associated with, display
Course objectives
Familiarize students with computational resource of a computer, learn about their relationship with more abstract notions of computation and, in particular, gain detailed knowledge about key abstractions and their implementation: variables, branching and looping, subroutines and their invocation, parameter passing, return values, layout of data in memory – arrays, records, dynamic allocation. Further expand the ability to decompose computational problems and build more complex abstractions out of the aforementioned building blocks.
Learning outcomes
Students will be, after completing this course, able to:
• name and describe basic abstractions used in programming
• describe their implementation using elementary computational machinery
• write simplified versions of standard subroutines for memory and data manipulation
• write a simple program in C.
Syllabus
  • Block 1: Model of computation
    1. abstract machine,
    2. automatic variables, structured control flow,
    3. subroutines and their invocation,
    4. address of a variable, array, record.

  • Block 2: Using and Organizing Memory
    5. flat memory, sorting and searching,
    6. linked lists in flat memory,
    7. dynamic allocation, bump allocator, malloc,
    8. first-fit allocator, free.

  • Block 3: Data Structures and Algorithms
    9. dynamic array, realloc,
    10. binary heap, priority queue,
    11. hash tables with fixed and variable-length keys,
    12. search trees.

Teaching methods
lecture, weekly programming exercises, seminars, 3 assignment sets
Assessment methods
Semester work (by individual choice): active participation in seminars + weekly programming exercises + 3 sets of more complex assignments + 3 midterm programming tests. Graded in four-week blocks. Exam: programming test using a school computer without internet access.
Language of instruction
Czech
Follow-Up Courses
Further Comments
Study Materials
The course is taught annually.
Listed among pre-requisites of other courses
The course is also listed under the following terms Spring 2025.
  • Enrolment Statistics (Spring 2024, recent)
  • Permalink: https://is.muni.cz/course/fi/spring2024/PB111