VIS-Proj-B: Bachelorprojekt Informationsvisualisierung - Authoring Enriched Data Comics

Dozentinnen/Dozenten:

Shivam Agarwal, Fabian Beck

Angaben:

Projekt, 4,00 SWS, ECTS: 6

Termine:

Di, 14:00 - 18:00, WE5/02.005

Voraussetzungen / Organisatorisches:

Requirements: Basic programming skills.

Beneficiaries: Basic knowledge in visualization, human-computer-interaction, or machine learning and data science can be beneficial.

Registration: This course takes part in the central registration: https://vc.uni-bamberg.de/course/view.php?id=24052

Inhalt:

Focus in Winter 2022/2023: Authoring Enriched Data Comics

Traditional comics are a powerful medium to engage an audience and narrate a story. Building upon the concept, Data Comics narrate stories which include insights from the data. While a majority of Data Comics use concepts from traditional comics, e.g., static panels on printed pages, they do not fully explore other possibilities. For instance, integrating audio, video, and interactions in the comics. In this project, we will push the boundary of research and create multiple examples of enriched Data Comics in small teams. To achieve this, we invite students with diverse study programs who have an interest in Data Comics, storytelling, and data analysis, among others.

General Information

In the project, students explore and apply different state-of-the-art approaches of applied computer science as a practical exercise. For a given scenario, a basic interactive visualization application is to be developed in a group effort.

Learning goals and competences:

Students learn to work independently on a practical problem and to coordinate this with group members. They design an interactive application that meets the requirements of a given scenario, while understanding the possibilities offered by visual and algorithmic methods. They implement a software system as a team, recognize the challenges of such collaboration, and jointly find solutions.

VIS-Sem-B: Bachelorseminar Informationsvisualisierung - Visually Understanding AI through Computational Notebooks

Dozentinnen/Dozenten:

Shivam Agarwal, Fabian Beck

Angaben:

Seminar, 2,00 SWS, ECTS: 3, first session on Oct 19 will be held remotely (see VC)

Termine:

Mi, 10:00 - 12:00, WE5/02.020

Voraussetzungen / Organisatorisches:

Requirements: The students are expected to have basic knowledge in machine learning.

Beneficiaries: Basic knowledge in visualization, human-computer-interaction, or machine learning and data science can be beneficial.

Registration: This course takes part in the central registration: https://vc.uni-bamberg.de/course/view.php?id=24052

Inhalt:

Focus Topic in Winter 2022/2023: Visually Understanding AI through Computational Notebooks

Understanding machine learning concepts is challenging for many students. In this seminar, we will focus on exploring visualization-based approaches to understanding machine learning concepts. Computational notebooks, such as Observable, Jupyter, or Google Colaboratory, provide a platform to include a dataset, execute code, and narrate a story with Markdown text, interactions, and visualizations. Such notebooks can be used to explain the concepts better. Each student will choose a machine learning concept (e.g., multiclass classification), research and understand it, and finally, narrate a story with visualizations to explain the concept. As the final seminar reports, students will create a computational notebook to explain the chosen concept.

Allgemein

Das Seminar behandelt praktische Anwendungen von Visualisierungssystemen. Es werden deren Eigenschaften diskutiert und verglichen, sowie deren Implementierung untersucht. Alle Teilnehmenden bearbeiten individuell zugewiesene Themen, die unterschiedliche Facetten zu einem übergreifenden Seminarthema beitragen.

Lernziele/Kompetenzen

Die Studierenden können ein vorgegebenes Thema der Angewandten Informatik selbstständig recherchieren. Sie lernen moderne Benutzerschnittstellen und Visualisierungssysteme zu bewerten und entwickeln ein vertieftes Verständnis des jeweiligen Themas, seiner Einsatz- und Anwendungsmöglichkeiten sowie seiner Grenzen. Sie verstehen und üben Methoden der professionellen Kommunikation in mündlicher und schriftlicher Form.