Suchergebnis: Katalogdaten im Frühjahrssemester 2020
|Vertiefung in Computational Science|
|Seminar in Computational Science|
|252-5704-00L||Advanced Methods in Computer Graphics |
Number of participants limited to 24.
The deadline for deregistering expires at the end of the second week of the semester. Students who are still registered after that date, but do not attend the seminar, will officially fail the seminar.
|W||2 KP||2S||O. Sorkine Hornung|
|Kurzbeschreibung||This seminar covers advanced topics in computer graphics with a focus on the latest research results. Topics include modeling, rendering, visualization,|
animation, physical simulation, computational photography, and others.
|Lernziel||The goal is to obtain an in-depth understanding of actual problems and |
research topics in the field of computer graphics as well as improve
presentation and critical analysis skills.
|261-5113-00L||Computational Challenges in Medical Genomics |
Number of participants limited to 20.
|W||2 KP||2S||A. Kahles, G. Rätsch|
|Kurzbeschreibung||This seminar discusses recent relevant contributions to the fields of computational genomics, algorithmic bioinformatics, statistical genetics and related areas. Each participant will hold a presentation and lead the subsequent discussion.|
|Lernziel||Preparing and holding a scientific presentation in front of peers is a central part of working in the scientific domain. In this seminar, the participants will learn how to efficiently summarize the relevant parts of a scientific publication, critically reflect its contents, and summarize it for presentation to an audience. The necessary skills to succesfully present the key points of existing research work are the same as needed to communicate own research ideas. |
In addition to holding a presentation, each student will both contribute to as well as lead a discussion section on the topics presented in the class.
|Inhalt||The topics covered in the seminar are related to recent computational challenges that arise from the fields of genomics and biomedicine, including but not limited to genomic variant interpretation, genomic sequence analysis, compressive genomics tasks, single-cell approaches, privacy considerations, statistical frameworks, etc.|
Both recently published works contributing novel ideas to the areas mentioned above as well as seminal contributions from the past are amongst the list of selected papers.
|Voraussetzungen / Besonderes||Knowledge of algorithms and data structures and interest in applications in genomics and computational biomedicine.|
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