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Methods of AI (Lecture)
Ulf Krumnack, Ph.D.
Veranstaltungstyp: Vorlesung
TeilnehmerInnen: ab 3. Semester
Beschreibung:
The "Methods of AI (Lecture)" continue the "Introduction to AI" from the summer term. Several topics from the "Introduction" will reappear and be deepened in the "Methods" class, including local search, constraint programming, knowledge representation, plannnig, and machine learning. Though it is not mandatory to have taken the "Introduction to AI", is highly recommended. Some background in math and computer science is also desirable.
The lecture will be accompanied by tutorial sessions. The tutorial sessions are intended to clarify the content, to discuss topics in more depth, and offer a room for discussion. The course encompasses weekly exercises and a written exam at the end of the semester.
There is also a seminar (course number 8.3019) based on this lecture. While it is not necessary to take the seminar in order to follow the lecture, in case you plan to take that seminar it is highly recommended to follow the lecture as well.
Erstes Treffen:
Montag, 28.10.2024 10:00 - 12:00, Ort: 15/322a
Ort: 15/322a: Mo. 10:00 - 12:00 (13x), 93/E12: Di. 16:00 - 18:00 (12x) Mi. 18:00 - 20:00 (12x), 94/E03: Montag, 17.02.2025 16:30 - 19:30, 94/E01: Montag, 17.02.2025 16:30 - 19:30, 94/E04: Montag, 17.02.2025 16:30 - 19:30
Semester: WiSe 2024/25
Zeiten:Mo. 10:00 - 12:00 (wöchentlich), Ort: 15/322a, Di. 16:00 - 18:00 (wöchentlich) - Tutorial, Ort: 93/E12, Mi. 18:00 - 20:00 (wöchentlich) - Tutorial, Ort: 93/E12, Termine am Montag, 17.02.2025 16:30 - 19:30, Ort: 94/E03, 94/E01, 94/E04
Leistungsnachweis:
Veranstaltungsnummer:
8.3018
ECTS-Kreditpunkte:
4
Bereichseinordnung:
Veranstaltungen > Cognitive Science > Bachelor-Programm Veranstaltungen > Cognitive Science > Master-Programm Veranstaltungen > Data Science Courses in English > Human Sciences (e.g. Cognitive Science, Psychology)
Ulf Krumnack, Ph.D.
Veranstaltungstyp: Vorlesung
TeilnehmerInnen: ab 3. Semester
Beschreibung:
The "Methods of AI (Lecture)" continue the "Introduction to AI" from the summer term. Several topics from the "Introduction" will reappear and be deepened in the "Methods" class, including local search, constraint programming, knowledge representation, plannnig, and machine learning. Though it is not mandatory to have taken the "Introduction to AI", is highly recommended. Some background in math and computer science is also desirable.
The lecture will be accompanied by tutorial sessions. The tutorial sessions are intended to clarify the content, to discuss topics in more depth, and offer a room for discussion. The course encompasses weekly exercises and a written exam at the end of the semester.
There is also a seminar (course number 8.3019) based on this lecture. While it is not necessary to take the seminar in order to follow the lecture, in case you plan to take that seminar it is highly recommended to follow the lecture as well.
Erstes Treffen:
Montag, 28.10.2024 10:00 - 12:00, Ort: 15/322a
Ort: 15/322a: Mo. 10:00 - 12:00 (13x), 93/E12: Di. 16:00 - 18:00 (12x) Mi. 18:00 - 20:00 (12x), 94/E03: Montag, 17.02.2025 16:30 - 19:30, 94/E01: Montag, 17.02.2025 16:30 - 19:30, 94/E04: Montag, 17.02.2025 16:30 - 19:30
Semester: WiSe 2024/25
Zeiten:Mo. 10:00 - 12:00 (wöchentlich), Ort: 15/322a, Di. 16:00 - 18:00 (wöchentlich) - Tutorial, Ort: 93/E12, Mi. 18:00 - 20:00 (wöchentlich) - Tutorial, Ort: 93/E12, Termine am Montag, 17.02.2025 16:30 - 19:30, Ort: 94/E03, 94/E01, 94/E04
Leistungsnachweis:
Veranstaltungsnummer:
8.3018
ECTS-Kreditpunkte:
4
Bereichseinordnung:
Veranstaltungen > Cognitive Science > Bachelor-Programm Veranstaltungen > Cognitive Science > Master-Programm Veranstaltungen > Data Science Courses in English > Human Sciences (e.g. Cognitive Science, Psychology)