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13548-01 - Lecture: Foundations of Artificial Intelligence 8 CP

Semester spring semester 2021
Course frequency Every spring sem.
Lecturers Malte Helmert (malte.helmert@unibas.ch, Assessor)
Content 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.
Learning objectives 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.
Bibliography Stuart Russell and Peter Norvig: Artificial Intelligence - A Modern Approach (3rd edition), Prentice Hall, 2009.
Weblink course web page

 

Admission requirements 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.
Course application lecture: https://services.unibas.ch/
exercises: https://courses.dmi.unibas.ch/
Language of instruction English
Use of digital media Online, mandatory
Course auditors welcome

 

Interval Weekday Time Room
wöchentlich Monday 16.15-18.00 - Online Präsenz -
wöchentlich Wednesday 14.15-16.00 - Online Präsenz -

Dates

Date Time Room
Monday 01.03.2021 16.15-18.00 - Online Präsenz -, --
Wednesday 03.03.2021 14.15-16.00 - Online Präsenz -, --
Monday 08.03.2021 16.15-18.00 - Online Präsenz -, --
Wednesday 10.03.2021 14.15-16.00 - Online Präsenz -, --
Monday 15.03.2021 16.15-18.00 - Online Präsenz -, --
Wednesday 17.03.2021 14.15-16.00 - Online Präsenz -, --
Monday 22.03.2021 16.15-18.00 - Online Präsenz -, --
Wednesday 24.03.2021 14.15-16.00 - Online Präsenz -, --
Monday 29.03.2021 16.15-18.00 - Online Präsenz -, --
Wednesday 31.03.2021 14.15-16.00 - Online Präsenz -, --
Monday 05.04.2021 16.15-18.00 Ostern
Wednesday 07.04.2021 14.15-16.00 - Online Präsenz -, --
Monday 12.04.2021 16.15-18.00 - Online Präsenz -, --
Wednesday 14.04.2021 14.15-16.00 - Online Präsenz -, --
Monday 19.04.2021 16.15-18.00 - Online Präsenz -, --
Wednesday 21.04.2021 14.15-16.00 - Online Präsenz -, --
Monday 26.04.2021 16.15-18.00 - Online Präsenz -, --
Wednesday 28.04.2021 14.15-16.00 - Online Präsenz -, --
Monday 03.05.2021 16.15-18.00 - Online Präsenz -, --
Wednesday 05.05.2021 14.15-16.00 - Online Präsenz -, --
Monday 10.05.2021 16.15-18.00 - Online Präsenz -, --
Wednesday 12.05.2021 14.15-16.00 - Online Präsenz -, --
Monday 17.05.2021 16.15-18.00 - Online Präsenz -, --
Wednesday 19.05.2021 14.15-16.00 - Online Präsenz -, --
Monday 24.05.2021 16.15-18.00 Pfingstmontag
Wednesday 26.05.2021 14.15-16.00 - Online Präsenz -, --
Monday 31.05.2021 16.15-18.00 - Online Präsenz -, --
Wednesday 02.06.2021 14.15-16.00 - Online Präsenz -, --
Modules Modul: Applications and Related Topics (Bachelor's degree subject: Computer Science)
Module: Computational Sciences II (Bachelor's Studies: Computational Sciences)
Module: Machine Intelligence (Bachelor's Studies: Computer Science)
Module: Methods in Computational Biology (Bachelor's Studies: Computational Sciences (Start of studies before 01.08.2018))
Module: Methods in Computational Chemistry (Bachelor's Studies: Computational Sciences (Start of studies before 01.08.2018))
Module: Methods in Computational Mathematics (Bachelor's Studies: Computational Sciences (Start of studies before 01.08.2018))
Module: Methods in Computational Physics (Bachelor's Studies: Computational Sciences (Start of studies before 01.08.2018))
Assessment format continuous assessment
Assessment details 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, whill will take place as a written exam.
Expected date of the exam: Wednesday, 16 June 2021, 2-4 p.m. (Physik, Grosser Hörsaal)
Assessment registration/deregistration Reg.: course registration, dereg: cancel course registration
Repeat examination no repeat examination
Scale 1-6 0,5
Repeated registration as often as necessary
Responsible faculty Faculty of Science, studiendekanat-philnat@unibas.ch
Offered by Fachbereich Informatik

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