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| Semester | fall semester 2024 |
| Course frequency | Every fall sem. |
| Lecturers |
Florina M. Ciorba (florina.ciorba@unibas.ch)
Heiko Schuldt (heiko.schuldt@unibas.ch, Assessor) Christian Tschudin (christian.tschudin@unibas.ch) Isabel Wagner (isabel.wagner@unibas.ch) |
| Content | The course will introduce basic algorithms and protocols needed for parallel and distributed systems. It will lay the foundations for the specialized courses on Computer Networks, High Performance Computing, Distributed Information Systems and Privacy-Preserving Methods for Data Science and Distributed Systems that will be offered in the spring semester. |
| Learning objectives | The goal of this course is to understand the basic principles of distributed and parallel systems. A major question will be how large-scale problems can be parallelized and distributed across compute entities (distribution can span the entire spectrum from cores in a multi-core machine up to nodes in a geographically distributed and potentially heterogeneous system) and what privacy threats (and their mitigation) exist. |
| Bibliography | Will be announced in the course. |
| Weblink | link to course web page |
| Admission requirements | You successfully completed the following Bachelor courses (or have at acquired the corresponding skills): Basics of Programming / Extended Basics of Programming, Programming Project, Computer Architecture & Operating Systems, Databases, and Internet Technologies. |
| Language of instruction | English |
| Use of digital media | No specific media used |
| Interval | Weekday | Time | Room |
|---|---|---|---|
| wöchentlich | Thursday | 10.15-12.00 | Spiegelgasse 5, Seminarraum 05.002 |
| wöchentlich | Friday | 10.15-12.00 | Spiegelgasse 5, Seminarraum 05.002 |
| Date | Time | Room |
|---|---|---|
| Friday 20.09.2024 | 10.15-12.00 | Spiegelgasse 5, Seminarraum 05.002 |
| Thursday 26.09.2024 | 10.15-12.00 | Spiegelgasse 5, Seminarraum 05.002 |
| Friday 27.09.2024 | 10.15-12.00 | Spiegelgasse 5, Seminarraum 05.002 |
| Thursday 03.10.2024 | 10.15-12.00 | Spiegelgasse 5, Seminarraum 05.002 |
| Friday 04.10.2024 | 10.15-12.00 | Spiegelgasse 5, Seminarraum 05.002 |
| Thursday 10.10.2024 | 10.15-12.00 | Spiegelgasse 5, Seminarraum 05.002 |
| Friday 11.10.2024 | 10.15-12.00 | Spiegelgasse 5, Seminarraum 05.002 |
| Thursday 17.10.2024 | 10.15-12.00 | Spiegelgasse 5, Seminarraum 05.002 |
| Friday 18.10.2024 | 10.15-12.00 | Spiegelgasse 5, Seminarraum 05.002 |
| Thursday 24.10.2024 | 10.15-12.00 | Spiegelgasse 5, Seminarraum 05.002 |
| Friday 25.10.2024 | 10.15-12.00 | Spiegelgasse 5, Seminarraum 05.002 |
| Thursday 31.10.2024 | 10.15-12.00 | Spiegelgasse 5, Seminarraum 05.002 |
| Friday 01.11.2024 | 10.15-12.00 | Spiegelgasse 5, Seminarraum 05.002 |
| Thursday 07.11.2024 | 10.15-12.00 | Spiegelgasse 5, Seminarraum 05.002 |
| Friday 08.11.2024 | 10.15-12.00 | Spiegelgasse 5, Seminarraum 05.002 |
| Thursday 14.11.2024 | 10.15-12.00 | Spiegelgasse 5, Seminarraum 05.002 |
| Friday 15.11.2024 | 10.15-12.00 | Spiegelgasse 5, Seminarraum 05.002 |
| Thursday 21.11.2024 | 10.15-12.00 | Spiegelgasse 5, Seminarraum 05.002 |
| Friday 22.11.2024 | 10.15-12.00 | Spiegelgasse 5, Seminarraum 05.002 |
| Thursday 28.11.2024 | 10.15-12.00 | Spiegelgasse 5, Seminarraum 05.002 |
| Friday 29.11.2024 | 10.15-12.00 | Dies Academicus |
| Thursday 05.12.2024 | 10.15-12.00 | Spiegelgasse 5, Seminarraum 05.002 |
| Friday 06.12.2024 | 10.15-12.00 | Spiegelgasse 5, Seminarraum 05.002 |
| Thursday 12.12.2024 | 10.15-12.00 | Spiegelgasse 5, Seminarraum 05.002 |
| Friday 13.12.2024 | 10.15-12.00 | Spiegelgasse 5, Seminarraum 05.002 |
| Thursday 19.12.2024 | 10.15-12.00 | Spiegelgasse 5, Seminarraum 05.002 |
| Friday 20.12.2024 | 10.15-12.00 | Spiegelgasse 5, Seminarraum 05.002 |
| Modules |
Doctorate Computer Science: Recommendations (PhD subject: Computer Science) Module: Applications of Machine Intelligence (Master's Studies: Computer Science) Module: Concepts of Distributed Systems (Master's degree subject: Computer Science) Module: Concepts of Distributed Systems (Master's Studies: Computer Science) Module: Systems Foundations (Master's Studies: Data Science) |
| Assessment format | continuous assessment |
| Assessment details | At the end of the semester, individual oral examinations (30 mins each) will take place. Admission to the oral examination requires at least 3/4 of the points from the exercises (with 50% from each of the exercises). Dates: January 22/23/24, 2025, room tbd. |
| 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 |