| Course title | Algorithms for Hard Problems |
|---|---|
| Course code | KMI/ALS2 |
| Organizational form of instruction | Lecture + Exercise |
| Level of course | Master |
| Year of study | not specified |
| Semester | Summer |
| Number of ECTS credits | 5 |
| Language of instruction | Czech |
| Status of course | Compulsory, Compulsory-optional |
| 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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The course provides introduction to hard problems, particularly algorithms for hard problems and related parts of computational complexity theory. " Approximate solutions to hard problems " Complexity of optimization problems " Approximation algorithms for selected hard problems, design techniques " Approximation classes " Linear programming " Randomized algorithms
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| Learning activities and teaching methods |
| Lecture, Demonstration |
| Learning outcomes |
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The students become familiar with advanced concepts of algorithms and complexity.
2. Comprehension: Classify hard problems |
| 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 Computer Science - Specialization in Software Development (2024) | Category: Informatics courses | 1 | Recommended year of study:1, Recommended semester: Summer |
| Faculty: Faculty of Science | Study plan (Version): Teaching Training in Computer Science for Secondary Schools (2019) | Category: Pedagogy, teacher training and social care | 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 - Specialization in Artificial Intelligence (2020) | Category: Informatics courses | 1 | Recommended year of study:1, Recommended semester: Summer |
| Faculty: Faculty of Science | Study plan (Version): Applied Computer Science - Specialization in Computer Systems and Technologies (2024) | Category: Informatics courses | 1 | Recommended year of study:1, Recommended semester: Summer |
| Faculty: Faculty of Science | Study plan (Version): Computer Science - Specialization in General Computer Science (2020) | Category: Informatics courses | 1 | Recommended year of study:1, Recommended semester: Summer |