| Course title | Algorithm Design 1 |
|---|---|
| Course code | KMI/ALGO1 |
| Organizational form of instruction | Lecture + Exercise |
| Level of course | Bachelor |
| Year of study | 1 |
| Semester | Winter |
| Number of ECTS credits | 6 |
| Language of instruction | Czech |
| Status of course | Compulsory |
| Form of instruction | Face-to-face |
| Work placements | This is not an internship |
| Recommended optional programme components | None |
| Lecturer(s) |
|---|
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| Course content |
|
Algorithms and their features, time and space complexity of algorithms. Data structures. Linear data structures - lists, stack, front, and their implementation, tree data structures. Sorting problem, types of sorting algorithms. Internal sorting methods: insertion sort , Shellsort, bubble sort, Quicksort, selection sort, Heapsort, implementation of these sorting methods. Special sorting methods: Bucket sort, Radix Sort. External sorting, principles of external sorting by merging method, polyphase merge sort.
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| Learning activities and teaching methods |
| Lecture, Demonstration |
| Learning outcomes |
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The students become familiar with basic concepts of algorithm design.
2. Comprehension. Understand basic concepts of algorithm design. |
| Prerequisites |
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unspecified
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| Assessment methods and criteria |
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Oral exam, Written exam
Active participation in class. Completion of assigned homeworks. Passing the oral (or written) exam. |
| Recommended literature |
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| Study plans that include the course |
| Faculty | Study plan (Version) | Category of Branch/Specialization | Recommended semester | |
|---|---|---|---|---|
| Faculty: Faculty of Science | Study plan (Version): Applied Mathematics - Specialization in Data Science (2020) | Category: Mathematics courses | 1 | Recommended year of study:1, Recommended semester: Winter |
| Faculty: Faculty of Science | Study plan (Version): Mathematics (2020) | Category: Mathematics courses | 1 | Recommended year of study:1, Recommended semester: Winter |
| Faculty: Faculty of Science | Study plan (Version): Computer Science - Specialization in Programming and Software Development (2021) | Category: Informatics courses | 1 | Recommended year of study:1, Recommended semester: Winter |
| Faculty: Faculty of Science | Study plan (Version): Computer Science for Education (2024) | Category: Informatics courses | 1 | Recommended year of study:1, Recommended semester: Winter |
| Faculty: Faculty of Science | Study plan (Version): Applied Mathematics - Specialization in Business Mathematics (2021) | Category: Mathematics courses | 1 | Recommended year of study:1, Recommended semester: Winter |
| Faculty: Faculty of Science | Study plan (Version): Computer Science - Specialization in General Computer Science (2021) | Category: Informatics courses | 1 | Recommended year of study:1, Recommended semester: Winter |
| Faculty: Faculty of Science | Study plan (Version): Applied Mathematics - Specialization in Industrial Mathematics (2020) | Category: Mathematics courses | 1 | Recommended year of study:1, Recommended semester: Winter |
| Faculty: Faculty of Science | Study plan (Version): Computer Science (2020) | Category: Informatics courses | 1 | Recommended year of study:1, Recommended semester: Winter |
| Faculty: Faculty of Science | Study plan (Version): Bioinformatics (2021) | Category: Informatics courses | 1 | Recommended year of study:1, Recommended semester: Winter |