Master- und Aufbaustudiengänge

Beschreiben Sie kurz und prägnant, worum es in diesem Kurs geht.

Due to the technological advances in hardware and compute power nowadays the visual data is collected in huge amounts practically by everyone. The digital cameras are pervasive. Most of the smart devices include camera sensors and are capable of capturing stills and videos. With these large amounts of visual data there is a pressing need to automatically process, organize, interpret the data and refine the information in ways that humans are capable. Computer Vision is asked to provide such solutions. How to achieve such goals? What are the challenges? What are the solutions? What is state-of-the-art? What are the benefits? What is the societal impact? How can we further improve the state-of-the-art? In this seminar, we review, explore and debate such questions based on the recent research at the intersection of Machine Learning, Computer Vision, Robotics and Artificial Intelligence. Each participant will be assigned one topic from a range of computer vision topics, including but not limited to those listed below. Each participant is expected to prepare a written review report covering the state-of-the-art on the particular topic (compiled from at least two research papers) and a corresponding oral presentation. At the same time, each participant is expected to interact, read and comment on the reports provided and presented by the other participants. Each participant will get skills on critical analysis, scientific discourse, and preparation, writing, and presentation on a research topic. Moreover, the participants will get acquainted with state-of-the-art computer vision.

Beschreiben Sie kurz und prägnant, worum es in diesem Kurs geht.

Due to the technological advances in hardware and compute power nowadays the visual data is collected in huge amounts practically by everyone. The digital cameras are pervasive. Most of the smart devices include camera sensors and are capable of capturing stills and videos. With these large amounts of visual data there is a pressing need to automatically process, organize, interpret the data and refine the visual data in ways that humans are capable of. How to achieve such goals? What are the challenges? What are the solutions? What is state-of-the-art? How can we further improve the state-of-the-art? In this Praktikum Image Processing and Computational Photography, we work in groups (1 to maximum 3 participants per each group), hands-on, and for several image processing and computational photography tasks we review, explore and master the state-of-the-art under the form of the best open source solutions and further assess the pluses and minuses of these solutions and propose alternatives. Each participant will work on a specific computational photography topic of interest.

Due to the technological advances in hardware and compute power nowadays the visual data is collected in huge amounts practically by everyone. The digital cameras are pervasive. Most of the smart devices include camera sensors and are capable of capturing stills and videos. With these large amounts of visual data there is a pressing need to automatically process, organize, interpret the data and refine the information in ways that humans are capable. Computer Vision is asked to provide such solutions.

How to achieve such goals? What are the challenges? What are the solutions? What is state-of-the-art? How can we further improve the state-of-the-art?

In this Praktikum Computer Vision, we work in groups (1 to maximum 3 participants per each group), hands-on, and for several computer vision topics we review, explore and master the state-of-the-art under the form of the best open source solutions and further assess the pluses and minuses of these solutions and propose alternatives.

Each participant will work on a specific computer vision topic of interest.

Beschreiben Sie kurz und prägnant, worum es in diesem Kurs geht.

Beschreiben Sie kurz und prägnant, worum es in diesem Kurs geht.

The Ethical Hacking Lab Network is a practical course about network security, popular attacks, and defenses, as well as hands-on experience exploiting and defending against vulnerabilities. The lab is interleaved with Cisco Netacad, so it is possible to get a Cisco Certified Network Associate Security Course certificate through a separate exam.

The practicum is divided into two parts. First, the theoretical part is provided all semester long and offers an overview of network security and its technical basics. This segment needs to be completed online before the practical part starts. The second part is a compact course in the semester break in February and March. This segment focuses on hands-on offensive security and dives into the security of networks, services, and C&C structures.

The course is limited to 12 participants due to the number of working space places. Master students are welcome to participate in this course for their master practicum (10-I-EHL2).

The practical assignments can be completed on the computers available in the Cisco lab.

Please contact Christoph Sendner (christoph.sendner@uni-wuerzburg.de) with your matriculation number and chosen module (i.e., EHL2) for registration via mail.

Beschreiben Sie kurz und prägnant, worum es in diesem Kurs geht.

Beschreiben Sie kurz und prägnant, worum es in diesem Kurs geht.

Beschreiben Sie kurz und prägnant, worum es in diesem Kurs geht.

Beschreiben Sie kurz und prägnant, worum es in diesem Kurs geht.

Beschreiben Sie kurz und prägnant, worum es in diesem Kurs geht.

Beschreiben Sie kurz und prägnant, worum es in diesem Kurs geht.

Beschreiben Sie kurz und prägnant, worum es in diesem Kurs geht.

Beschreiben Sie kurz und prägnant, worum es in diesem Kurs geht.

Beschreiben Sie kurz und prägnant, worum es in diesem Kurs geht.

Beschreiben Sie kurz und prägnant, worum es in diesem Kurs geht.

Beschreiben Sie kurz und prägnant, worum es in diesem Kurs geht.

Beschreiben Sie kurz und prägnant, worum es in diesem Kurs geht.