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| Semester | fall semester 2019 |
| Course frequency | Every fall sem. |
| Lecturers | Roger Weber (roger.weber@unibas.ch, Assessor) |
| Content | Introduction to multimedia retrieval with a focus on classical text retrieval, web retrieval, extraction and machine learning of features for images, audio, and video, index structures, search algorithms, and concrete implementations. The course is touching on past and current information retrieval techniques and search algorithms. |
| Comments | Target Audience: Students in the Master Programme Computer Science |
| Weblink | Link to course website |
| Admission requirements | Basics of programming Mathematical foundations (for some parts) |
| Language of instruction | English |
| Use of digital media | Online, mandatory |
| Course auditors welcome |
| Interval | Weekday | Time | Room |
|---|
No dates available. Please contact the lecturer.
| Modules |
Doctorate Computer Science: Recommendations (PhD subject: Computer Science) Modul: Concepts of Distributed Systems (Master's degree subject: Computer Science) Module: Applications of Distributed Systems (Master's Studies: Computer Science) Module: Applications of Machine Intelligence (Master's Studies: Computer Science) |
| Assessment format | continuous assessment |
| Assessment details | Oral exam expected dates: Thursday, 9 January 2020 (2.30-6 p.m.), room 05.013, Spiegelgasse 1 and Friday, 10 January (2.30-6 p.m.), room: 05.013, Spiegelgasse 1 and Thursday, 16 January (2.30-6 p.m.), room 05.013, Spiegelgasse 1 |
| 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 |