FI:PB111 Principles of low-level prog. - Course Information
PB111 Principles of low-level programming
Faculty of InformaticsSpring 2025
- 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).
In-person direct teaching - 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 - 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: 0/60, only registered: 2/60, only registered with preference (fields directly associated with the programme): 2/60 - fields of study / plans the course is directly associated with
- there are 38 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.
- Block 1: Model of computation
- 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
- The course is taught annually.
The course is taught: every week. - Listed among pre-requisites of other courses
- PB006 Principles of Programming Languages and OOP
(IB111 || NOW(IB111)) && (PB071 || PB111) - PB152cv Operating Systems - practicals
(PB153 || PB152) && (PB111 || PB071 || SOUHLAS) - PB173 Domain specific development
PB111 || PB071 || SOUHLAS
- PB006 Principles of Programming Languages and OOP
- Enrolment Statistics (Spring 2025, recent)
- Permalink: https://is.muni.cz/course/fi/spring2025/PB111