inf535 - Computational Intelligence I (Complete module description)
Module label | Computational Intelligence I |
Modulkürzel | inf535 |
Credit points | 6.0 KP |
Workload | 180 h |
Institute directory | Department of Computing Science |
Verwendbarkeit des Moduls |
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Zuständige Personen |
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Prerequisites | Basics of statistics |
Skills to be acquired in this module | After successful completion of the course, students should have acquired the ability to master the presented methods in theory and practice. The students should be able to recognize and model corresponding optimization and data analysis problems themselves and to apply the methods unerringly.
Methodological competence
Social competence
Self-competence
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Module contents | Computational Intelligence comprises intelligent and adaptive methods for optimisation and learning. The module "Computational Intelligence I" concentrates on methods for evolutionary optimisation and heuristic approaches. The exercises introduce and deepen practical aspects of the implementation and algorithmic design, also taking into account application aspects.
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Literaturempfehlungen |
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Languages of instruction | English , German |
Duration (semesters) | 1 Semester |
Module frequency | annual |
Module capacity | unlimited |
Teaching/Learning method | V+Ü |
Previous knowledge | - Basics of statistics |
Lehrveranstaltungsform | Comment | SWS | Frequency | Workload of compulsory attendance |
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Lecture | 2 | WiSe | 28 | |
Exercises | 2 | WiSe | 28 | |
Präsenzzeit Modul insgesamt | 56 h |
Examination | Prüfungszeiten | Type of examination |
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Final exam of module | At the end of the lecture period |
Written or oral exam |