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

Semester spring semester 2023
Course frequency Every spring sem.
Lecturers Thomas Keller (tho.keller@unibas.ch)
Florian Pommerening (florian.pommerening@unibas.ch)
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 and their environments, state-space search, combinatorial optimization, constraint satisfaction problems, formal logic, automated planning, and board games.
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 (4th edition), Prentice Hall, 2020.
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 https://services.unibas.ch/
Language of instruction English
Use of digital media No specific media used
Course auditors welcome

 

Interval Weekday Time Room
wöchentlich Monday 16.15-18.00 Biozentrum, Hörsaal U1.141
wöchentlich Wednesday 14.15-16.00 Biozentrum, Hörsaal U1.101

Dates

Date Time Room
Monday 20.02.2023 16.15-18.00 Biozentrum, Hörsaal U1.141
Wednesday 22.02.2023 14.15-16.00 Biozentrum, Hörsaal U1.101
Monday 27.02.2023 16.15-18.00 Fasnachstferien
Wednesday 01.03.2023 14.15-16.00 Fasnachstferien
Monday 06.03.2023 16.15-18.00 Biozentrum, Hörsaal U1.141
Wednesday 08.03.2023 14.15-16.00 Biozentrum, Hörsaal U1.101
Monday 13.03.2023 16.15-18.00 Biozentrum, Hörsaal U1.141
Wednesday 15.03.2023 14.15-16.00 Biozentrum, Hörsaal U1.101
Monday 20.03.2023 16.15-18.00 Biozentrum, Hörsaal U1.141
Wednesday 22.03.2023 14.15-16.00 Biozentrum, Hörsaal U1.101
Monday 27.03.2023 16.15-18.00 Biozentrum, Hörsaal U1.141
Wednesday 29.03.2023 14.15-16.00 Biozentrum, Hörsaal U1.101
Monday 03.04.2023 16.15-18.00 Biozentrum, Hörsaal U1.141
Wednesday 05.04.2023 14.15-16.00 Biozentrum, Hörsaal U1.101
Monday 10.04.2023 16.15-18.00 Ostern
Wednesday 12.04.2023 14.15-16.00 Biozentrum, Hörsaal U1.101
Monday 17.04.2023 16.15-18.00 Biozentrum, Hörsaal U1.141
Wednesday 19.04.2023 14.15-16.00 Biozentrum, Hörsaal U1.101
Monday 24.04.2023 16.15-18.00 Biozentrum, Hörsaal U1.141
Wednesday 26.04.2023 14.15-16.00 Biozentrum, Hörsaal U1.101
Monday 01.05.2023 16.15-18.00 Tag der Arbeit
Wednesday 03.05.2023 14.15-16.00 Biozentrum, Hörsaal U1.101
Monday 08.05.2023 16.15-18.00 Biozentrum, Hörsaal U1.141
Wednesday 10.05.2023 14.15-16.00 Biozentrum, Hörsaal U1.101
Monday 15.05.2023 16.15-18.00 Biozentrum, Hörsaal U1.141
Wednesday 17.05.2023 14.15-16.00 Biozentrum, Hörsaal U1.101
Monday 22.05.2023 16.15-18.00 Biozentrum, Hörsaal U1.141
Wednesday 24.05.2023 14.15-16.00 Biozentrum, Hörsaal U1.101
Wednesday 31.05.2023 14.15-16.00 Biozentrum, Hörsaal U1.101
Modules Modul: Applications and Related Topics (Bachelor's degree subject: Computer Science)
Module: Computational Sciences II (Bachelor's Studies: Computational Sciences (Start of studies before 01.08.2023))
Module: Machine Intelligence (Bachelor's Studies: Computer Science)
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, which will take place as a written exam.
Expected date of the exam: Wednesday, July 5, 2-4 p.m., Biozentrum, room U1.131.
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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