Modulcode:	infSemViMa
Englische Bezeichnung:	Master Seminar - Visual Mapping
Modulverantwortliche(r):	Prof. Dr. Kevin Köser
Turnus:	unregelmäßig (WS23/24 SS24)
Präsenzzeiten:	2S
ECTS:	5
Workload:	30 Std. Mitarbeit im Seminar, 120 Std. Selbststudium
Dauer:	ein Semester
Modulkategorien:	MSc-Inf-Sem (MSc Inf (21))
Lehrsprache:	Englisch
Voraussetzungen:

Kurzfassung:

This seminar will cover selected topics from the area of Visual Mapping and Robot Vision. Each student selects one from the list of available topics, studies the literature and prepares a scientific presentation about the topic.

Lernziele:

Students learn to independently work on a selected research topic in order to obtain a good enough understanding of the material, such that they are able to explain and summarize it. This typically includes studying secondary literature. The students also learn to prepare and to give a scientific presentation of the material.

Lehrinhalte:

The list of actual topics will be made available before the beginning of the semester and covers research material in the field of Visual Mapping or Robot Vision.

Weitere Voraussetzungen:

There are no specific requirements as topics can be chosen from the list according to the preferences of the students (first come first served). The topics are however advanced topics in the field of Visual Mapping and Robot Vision, and so knowledge from lectures such as "Introduction to Image Processing", "3D Computer Vision" or "Probabilistic Robotics" will make it easier to understand the material.

Prüfungsleistung:

Seminar Presentation and Active Participation

Lehr- und Lernmethoden:

Verwendbarkeit:

Literatur:

Changes per semester and will be made available on individual basis.

Verweise:

Kommentar:

First meeting will be on a Wednesday afternoon. During this meeting we will assign the topics and agree on presentation dates. The topics will be made available on the website https://www.marine.informatik.uni-kiel.de beforehand. In case you are interested in the course, please send an email to kk@informatik.uni-kiel.de beforehand to stay updated and so we can notify you.