Zurück
| Semester | Frühjahrsemester 2024 |
| Angebotsmuster | Jedes Frühjahrsem. |
| Dozierende | Heiko Schuldt (heiko.schuldt@unibas.ch, BeurteilerIn) |
| Inhalt | Many applications are more and more facing large volumes of data which need to be managed, accessed, and processed in an efficient way. From the data management point of view, this has led to a radical shift from centralized, monolithic database systems towards distributed information systems. This is especially (but not only) the case in Data Sciece and Data Analytics, where Distributed Data Management and Distributed Information Systems are essential and integral parts of the entire data processing pipeline. For these distributed information systems, it is of utmost importance i.) to have sophisticated mechanisms and protocols for coordinating and accessing distributed resources (e.g., distributed databases) and ii.) to be based on appropriate infrastructures which support distributed applications. The goal of this course is to understand the basic problems of distributed information systems, to become familiar with the different architecture paradigms, and to practically experiment with some selected systems. The course includes lectures, mandatory practical exercises with some of the systems and infrastructures that are discussed, and a small project. |
| Lernziele | The goal of this course is to understand the basic principles of distributed information systems, to become familiar with the different architecture paradigms, and to practically experiment with some selected systems. |
| Literatur | Will be announced in the course. |
| Bemerkungen | Target Audience: Students in the Master Programs Computer Science and Data Science. |
| Weblink | Link to course website |
| Teilnahmebedingungen | You sucessfully completed the following Bachelor courses or demonstrate the corresponding skills: Basics of Programming, Programming Project, Databases (or Introduction to Databases and Database Systems) and the Master's level course Foundations of Distributed Systems. |
| Unterrichtssprache | Englisch |
| Einsatz digitaler Medien | Online-Angebot obligatorisch |
| HörerInnen willkommen |
| Intervall | Wochentag | Zeit | Raum |
|---|---|---|---|
| wöchentlich | Mittwoch | 10.15-12.00 | Spiegelgasse 1, Seminarraum 00.003 |
| Datum | Zeit | Raum |
|---|---|---|
| Mittwoch 28.02.2024 | 10.15-12.00 Uhr | Spiegelgasse 1, Seminarraum 00.003 |
| Mittwoch 06.03.2024 | 10.15-12.00 Uhr | Spiegelgasse 1, Seminarraum 00.003 |
| Mittwoch 13.03.2024 | 10.15-12.00 Uhr | Spiegelgasse 1, Seminarraum 00.003 |
| Mittwoch 20.03.2024 | 10.15-12.00 Uhr | Spiegelgasse 1, Seminarraum 00.003 |
| Mittwoch 27.03.2024 | 10.15-12.00 Uhr | Spiegelgasse 1, Seminarraum 00.003 |
| Mittwoch 03.04.2024 | 10.15-12.00 Uhr | Spiegelgasse 1, Seminarraum 00.003 |
| Mittwoch 10.04.2024 | 10.15-12.00 Uhr | Spiegelgasse 1, Seminarraum 00.003 |
| Mittwoch 17.04.2024 | 10.15-12.00 Uhr | Spiegelgasse 1, Seminarraum 00.003 |
| Mittwoch 24.04.2024 | 10.15-12.00 Uhr | Spiegelgasse 1, Seminarraum 00.003 |
| Mittwoch 01.05.2024 | 10.15-12.00 Uhr | Tag der Arbeit |
| Mittwoch 08.05.2024 | 10.15-12.00 Uhr | Spiegelgasse 1, Seminarraum 00.003 |
| Mittwoch 15.05.2024 | 10.15-12.00 Uhr | Spiegelgasse 1, Seminarraum 00.003 |
| Mittwoch 22.05.2024 | 10.15-12.00 Uhr | Spiegelgasse 1, Seminarraum 00.003 |
| Mittwoch 29.05.2024 | 10.15-12.00 Uhr | Spiegelgasse 1, Seminarraum 00.003 |
| Module |
Doktorat Informatik: Empfehlungen (Promotionsfach: Informatik) Modul: Applications of Distributed Systems (Masterstudium: Computer Science) Modul: Applications of Machine Intelligence (Masterstudium: Computer Science) Modul: Concepts of Distributed Systems (Masterstudium: Computer Science) Modul: Concepts of Distributed Systems (Master Studienfach: Computer Science) Modul: Systems Foundations (Masterstudium: Data Science) |
| Leistungsüberprüfung | Lehrveranst.-begleitend |
| Hinweise zur Leistungsüberprüfung | Oral examinations and project work. The oral examination will contribute 2/3, the project 1/3 to the final grade. Admission to the oral examination requires at least 2/3 of the points from all exercises. The dates of the project presentations and the oral examinations will be announced in the lecture. |
| An-/Abmeldung zur Leistungsüberprüfung | Anm.: Belegen Lehrveranstaltung; Abm.: stornieren |
| Wiederholungsprüfung | keine Wiederholungsprüfung |
| Skala | 1-6 0,5 |
| Wiederholtes Belegen | beliebig wiederholbar |
| Zuständige Fakultät | Philosophisch-Naturwissenschaftliche Fakultät, studiendekanat-philnat@unibas.ch |
| Anbietende Organisationseinheit | Fachbereich Informatik |