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15729-01 - Lecture: Distributed Information Systems (4 CP)
| Semester | spring semester 2025 |
| Further events belonging to these CP |
15729-01 (Lecture) 15729-02 (Practical course) |
| Course frequency | Every spring sem. |
| Lecturers |
Heiko Schuldt (heiko.schuldt@unibas.ch)
Marco Vogt (marco.vogt@unibas.ch, Assessor) |
| Content | 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. |
| Learning objectives | 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. |
| Bibliography | Will be announced in the course. |
| Comments | Target Audience: Students in the Master Programs Computer Science and Data Science. |
| Weblink | Link to course website |
| Admission requirements | 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 -preferably- the Master's level course Foundations of Distributed Systems. |
| Language of instruction | English |
| Use of digital media | Online, mandatory |
| Course auditors welcome |
| Interval | Weekday | Time | Room |
|---|---|---|---|
| wöchentlich | Wednesday | 10.15-12.00 | Spiegelgasse 1, Seminarraum 00.003 |
Dates
| Date | Time | Room |
|---|---|---|
| Wednesday 19.02.2025 | 10.15-12.00 | Spiegelgasse 1, Seminarraum 00.003 |
| Wednesday 26.02.2025 | 10.15-12.00 | Spiegelgasse 1, Seminarraum 00.003 |
| Wednesday 05.03.2025 | 10.15-12.00 | Spiegelgasse 1, Seminarraum 00.003 |
| Wednesday 12.03.2025 | 10.15-12.00 | Fasnachstferien |
| Wednesday 19.03.2025 | 10.15-12.00 | Spiegelgasse 1, Seminarraum 00.003 |
| Wednesday 26.03.2025 | 10.15-12.00 | Spiegelgasse 1, Seminarraum 00.003 |
| Wednesday 02.04.2025 | 10.15-12.00 | Spiegelgasse 1, Seminarraum 00.003 |
| Wednesday 09.04.2025 | 10.15-12.00 | Spiegelgasse 1, Seminarraum 00.003 |
| Wednesday 16.04.2025 | 10.15-12.00 | Spiegelgasse 1, Seminarraum 00.003 |
| Wednesday 23.04.2025 | 10.15-12.00 | Spiegelgasse 1, Seminarraum 00.003 |
| Wednesday 30.04.2025 | 10.15-12.00 | Spiegelgasse 1, Seminarraum 00.003 |
| Wednesday 07.05.2025 | 10.15-12.00 | Spiegelgasse 1, Seminarraum 00.003 |
| Wednesday 14.05.2025 | 10.15-12.00 | Spiegelgasse 1, Seminarraum 00.003 |
| Wednesday 21.05.2025 | 10.15-12.00 | Spiegelgasse 1, Seminarraum 00.003 |
| Wednesday 28.05.2025 | 10.15-12.00 | Spiegelgasse 1, Seminarraum 00.003 |
| Modules |
Doctorate Computer Science: Recommendations (PhD subject: Computer Science) Module: Applications of Distributed Systems (Master's Studies: 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 | 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. Expected dates: tba |
| 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 |