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| Semester | Frühjahrsemester 2020 |
| Angebotsmuster | Jedes Frühjahrsem. |
| Dozierende |
Malte Helmert (malte.helmert@unibas.ch, BeurteilerIn)
Thomas Keller (tho.keller@unibas.ch) |
| Inhalt | The course offers an introduction into the basic concepts, problems, methods and algorithms of artificial intelligence. Topics include: introduction and historical development of AI, rational agents, problem solving and search, constraint satisfaction problems, formal logic, and automated planning. |
| Lernziele | Students learn the theoretical and practical foundations of classical problems in artificial intelligence and their algorithmic solution. In particular, participants will obtain the necessary knowledge and skills to independently solve typical AI problems by selecting, implementing and evaluating standard algorithms from the AI literature. |
| Literatur | Stuart Russell and Peter Norvig: Artificial Intelligence - A Modern Approach (3rd edition), Prentice Hall, 2009. |
| Weblink | course web page |
| Teilnahmebedingungen | No formal requirements, but solid basic knowledge of foundational concepts in computer science (algorithms, complexity theory) and mathematics (formal proofs and basic concepts like sets, functions and relations) are necessary for following the lecture. Good programming skills are necessary for some of the exercises. |
| Anmeldung zur Lehrveranstaltung | lecture: https://services.unibas.ch/ exercises: https://courses.cs.unibas.ch/ |
| Unterrichtssprache | Englisch |
| Einsatz digitaler Medien | Online-Angebot obligatorisch |
| HörerInnen willkommen |
| Intervall | Wochentag | Zeit | Raum |
|---|
Keine Einzeltermine verfügbar, bitte informieren Sie sich direkt bei den Dozierenden.
| Module |
Modul: Applications and Related Topics (Bachelor Studienfach: Computer Science) Modul: Computational Sciences II (Bachelorstudium: Computational Sciences) Modul: Machine Intelligence (Bachelorstudium: Computer Science) Modul: Methoden für Computational Biology (Bachelorstudium: Computational Sciences (Studienbeginn vor 01.08.2018)) Modul: Methoden für Computational Chemistry (Bachelorstudium: Computational Sciences (Studienbeginn vor 01.08.2018)) Modul: Methoden für Computational Mathematics (Bachelorstudium: Computational Sciences (Studienbeginn vor 01.08.2018)) Modul: Methoden für Computational Physics (Bachelorstudium: Computational Sciences (Studienbeginn vor 01.08.2018)) |
| Leistungsüberprüfung | Lehrveranst.-begleitend |
| Hinweise zur Leistungsüberprüfung | The course includes weekly homework assignments and weekly exercise sessions. To pass the course, students need to successfully work on the homework assignments and pass the final written examination. At least 50% of the possible marks from homework assignment are needed to qualify for the final exam. The final grade for the course is based exclusively on the final exam. The oral exams will take place 22-26 June 2020, online |
| An-/Abmeldung zur Leistungsüberprüfung | Anm.: Belegen Lehrveranstaltung; Abm.: stornieren |
| Wiederholungsprüfung | keine Wiederholungsprüfung |
| Skala | 1-6 0,5 |
| Wiederholtes Belegen | beliebig wiederholbar |
| Zuständige Fakultät | Philosophisch-Naturwissenschaftliche Fakultät, studiendekanat-philnat@unibas.ch |
| Anbietende Organisationseinheit | Fachbereich Informatik |