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13548-01 - Lecture: Foundations of Artificial Intelligence (8 CP)
| Semester | spring semester 2022 |
| Further events belonging to these CP |
13548-01 (Lecture) 13548-02 (Practical course) 13548-03 (Practical course) |
| 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 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 | Online, mandatory |
| 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 21.02.2022 | 16.15-18.00 | Biozentrum, Hörsaal U1.141 |
| Wednesday 23.02.2022 | 14.15-16.00 | Biozentrum, Hörsaal U1.101 |
| Monday 28.02.2022 | 16.15-18.00 | Biozentrum, Hörsaal U1.141 |
| Wednesday 02.03.2022 | 14.15-16.00 | Biozentrum, Hörsaal U1.101 |
| Monday 07.03.2022 | 16.15-18.00 | Fasnachtsferien |
| Wednesday 09.03.2022 | 14.15-16.00 | Fasnachtsferien |
| Monday 14.03.2022 | 16.15-18.00 | Biozentrum, Hörsaal U1.141 |
| Wednesday 16.03.2022 | 14.15-16.00 | Biozentrum, Hörsaal U1.101 |
| Monday 21.03.2022 | 16.15-18.00 | Biozentrum, Hörsaal U1.141 |
| Wednesday 23.03.2022 | 14.15-16.00 | Biozentrum, Hörsaal U1.101 |
| Monday 28.03.2022 | 16.15-18.00 | Biozentrum, Hörsaal U1.141 |
| Wednesday 30.03.2022 | 14.15-16.00 | Biozentrum, Hörsaal U1.101 |
| Monday 04.04.2022 | 16.15-18.00 | Biozentrum, Hörsaal U1.141 |
| Wednesday 06.04.2022 | 14.15-16.00 | Biozentrum, Hörsaal U1.101 |
| Monday 11.04.2022 | 16.15-18.00 | Biozentrum, Hörsaal U1.141 |
| Wednesday 13.04.2022 | 14.15-16.00 | Biozentrum, Hörsaal U1.101 |
| Monday 18.04.2022 | 16.15-18.00 | Ostern |
| Wednesday 20.04.2022 | 14.15-16.00 | Biozentrum, Hörsaal U1.101 |
| Monday 25.04.2022 | 16.15-18.00 | Biozentrum, Hörsaal U1.141 |
| Wednesday 27.04.2022 | 14.15-16.00 | Biozentrum, Hörsaal U1.101 |
| Monday 02.05.2022 | 16.15-18.00 | Biozentrum, Hörsaal U1.141 |
| Wednesday 04.05.2022 | 14.15-16.00 | Biozentrum, Hörsaal U1.101 |
| Monday 09.05.2022 | 16.15-18.00 | Biozentrum, Seminarraum U1.197 |
| Wednesday 11.05.2022 | 14.15-16.00 | Biozentrum, Seminarraum U1.197 |
| Monday 16.05.2022 | 16.15-18.00 | Biozentrum, Seminarraum U1.197 |
| Wednesday 18.05.2022 | 14.15-16.00 | Biozentrum, Seminarraum U1.195 |
| Monday 23.05.2022 | 16.15-18.00 | Biozentrum, Seminarraum U1.197 |
| Wednesday 25.05.2022 | 14.15-16.00 | Biozentrum, Seminarraum U1.197 |
| Monday 30.05.2022 | 16.15-18.00 | Biozentrum, Seminarraum U1.197 |
| Wednesday 01.06.2022 | 14.15-16.00 | Biozentrum, Seminarraum U1.197 |
| 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, 29 June 2022, 2-4 p.m., Biozentrum U1.101. |
| 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 |