| Course title | Algorithm Design 2 |
|---|---|
| Course code | KMI/ALGO2 |
| Organizational form of instruction | Lecture + Exercise |
| Level of course | Bachelor |
| Year of study | 1 |
| Semester | Summer |
| 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 |
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Searching problem, types of searching algorithms. Searching in linear data structures: sequential search in an array or list of randomly ordered items, binary search in a sorted array. Binary search trees, search operation, AVL-trees, insertion of item into an AVL-tree, deletion of item from an AVL-tree. Balanced trees, their structure, search operation, insertion, and deletion of items in balanced trees. Red-black trees, operations on these trees, tries. Hashing, computation of hash function, hash table organization, methods for conflict resolution: open addressing, separate chaining.
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| Learning activities and teaching methods |
| Lecture, Demonstration |
| Learning outcomes |
|
The students become familiar with advanced concepts of of algorithm design.
2. Comprehension. Understand advanced 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): Computer Science - Specialization in General Computer Science (2021) | Category: Informatics courses | 1 | Recommended year of study:1, Recommended semester: Summer |
| 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: Summer |
| Faculty: Faculty of Science | Study plan (Version): Mathematics (2020) | Category: Mathematics courses | 1 | Recommended year of study:1, Recommended semester: Summer |
| 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: Summer |
| 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: Summer |
| Faculty: Faculty of Science | Study plan (Version): Bioinformatics (2021) | Category: Informatics courses | 1 | Recommended year of study:1, Recommended semester: Summer |
| Faculty: Faculty of Science | Study plan (Version): Computer Science for Education (2024) | Category: Informatics courses | 1 | Recommended year of study:1, Recommended semester: Summer |
| Faculty: Faculty of Science | Study plan (Version): Computer Science (2020) | Category: Informatics courses | 1 | Recommended year of study:1, Recommended semester: Summer |
| 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: Summer |