High-Performance Data Analytics is a vehicle to extract findings from large data sets. It is an indispensable tool in science and business but a rapidly changing field. As part of this seminar, you will create a presentation and report revolving around a selected hot topic in German or English. You will learn to research literature and may conduct small experiments to provide a holistic view of the selected topic. You will meet regularly with an assigned supervisor and work towards the presentation and report.
| Contact | Julian Kunkel, Jonathan Decker | ||
| Location | Virtual in BBB | ||
| Time | Thursday 16-18, First meeting: 2022-04-21 | ||
| Language | English or German (individual presentation) | ||
| Module | M.Inf.1237: Seminar Neueste Trends in High-Performance Data Analytics | ||
| SWS | 2 | ||
| Credits | 5 | ||
| Contact time | 28 hours | ||
| Independent study | 122 hours |
As part of this seminar, you will create a presentation (and report) revolving around a research topic in German or English (your choice!). Therefore, you will meet regularly with an assigned supervisor and work towards the presentation and report.
This seminar is also available as a pro-seminar. As pro-seminar, the focus will be on learning presentation techniques while in the seminar your focus must be on presenting scientific facts and leading a scientific discussion. There are also two additional mandatory sessions for pro-seminar attendees (optional for seminar attendees).
The presentation time is 35 minutes (plus discussion). A short report accompanying the slides is expected (max 15 pages).
The students will be able to
This is the list of topics that we will assign to students during the first meeting. You will have some room for developing the topic in the direction of your choice. Feel free to propose your own great topic.
The exam is conducted as part of the presentation (50% of the mark) and report (50%). The focus for pro-seminars lies in the effective presentation while the focus for seminars is the depth of the scientific topic (slightly different marking schemes).