Search result: Catalogue data in Spring Semester 2018
CAS in Computer Science  | ||||||
 Seminars | ||||||
| Number | Title | Type | ECTS | Hours | Lecturers | |
|---|---|---|---|---|---|---|
| 263-4203-00L | Geometry: Combinatorics and Algorithms | W | 2 credits | 2S | M. Hoffmann, E. Welzl, L. F. Barba Flores, P. Valtr | |
| Abstract | This seminar complements the course Geometry: Combinatorics & Algorithms. Students of the seminar will present original research papers, some classic and some of them very recent. | |||||
| Objective | Each student is expected to read, understand, and elaborate on a selected research paper. To this end, (s)he should give a 45-min. presentation about the paper. The process includes * getting an overview of the related literature; * understanding and working out the background/motivation: why and where are the questions addressed relevant? * understanding the contents of the paper in all details; * selecting parts suitable for the presentation; * presenting the selected parts in such a way that an audience with some basic background in geometry and graph theory can easily understand and appreciate it. | |||||
| Content | This seminar is held once a year and complements the course Geometry: Combinatorics & Algorithms. Students of the seminar will present original research papers, some classic and some of them very recent. The seminar is a good preparation for a master, diploma, or semester thesis in the area. | |||||
| Prerequisites / Notice | Prerequisite: Successful participation in the course "Geometry: Combinatorics & Algorithms" (takes place every HS) is required. | |||||
| 263-4845-00L | Distributed Stream Processing: Systems and Algorithms Does not take place this semester. | W | 2 credits | 2S | ||
| Abstract | In this seminar, we will study the design and architecture of modern distributed streaming systems as well as fundamental algorithms for analyzing data streams. We will also consider current research topics and open issues in the area of distributed stream processing. | |||||
| Objective | The seminar will focus on high-impact research contributions addressing open issues in the design and implementation of modern distributed stream processors. In particular, the students will read, review, present, and discuss a series of research and industrial papers. | |||||
| Content | Modern distributed stream processing technology enables continuous, fast, and reliable analysis of large-scale unbounded datasets. Stream processing has recently become highly popular across industry and academia due to its capabilities to both improve established data processing tasks and to facilitate novel applications with real-time requirements. The students will read, review, present, and discuss a series of research and industrial papers covering the following topics: - Fault-tolerance and processing guarantees - State management - Windowing semantics and optimizations - Basic data stream mining algorithms (e.g. sampling, counting, filtering) - Query languages and libraries for stream processing (e.g. Complex Event Processing, online machine learning) | |||||
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