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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 - |
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 |