VIS-IVVA-M: Advanced Information Visualization and Visual Analytics

Dozent/in:

Fabian Beck

Angaben:

Vorlesung, 2,00 SWS, ECTS: 6, Modulstudium

Termine:

Mo, 12:00 - 14:00, WE5/01.004

Voraussetzungen / Organisatorisches:

Recommended previous knowledge: Basic knowledge in information visualization and programming; knowledge in algorithms and data structures, human-computer-interaction, and machine learning and data science can be beneficial.

Note: This lecture is not directly based on the bachelor lecture VIS-GIV-B. Previous knowledge in visualization is nevertheless helpful, but can also be acquired during the semester. In particular, the VIS-Plus course will offer helpful tutorials and summaries.

Inhalt:

The course discusses methods for interactive information visualization and systems for explorative visual analysis. Visualizations blend with algorithmic solutions and get adopted to domain-specific needs. Giving a research-oriented perspective, the design and evaluation of such methods is the focus of the course, as well as their practical and interdisciplinary application in various fields.

Learning goals and competences: The students recognize the possibilities and limitations of data visualization and are able to apply visualization methods to concrete application examples. They understand the foundations of visual perception and cognition as well as their implications for the visual representation of data. They have a sound overview of possibilities for the visual representation of abstract data and are able to adapt visualization techniques to new problems and justify design decisions. On a conceptual level, they are able to integrate visualization techniques with interaction techniques and algorithmic solutions and design visual analytics solutions. They can evaluate visualization techniques in quantitative and qualitative user studies.

The workload for this module typically is as follows:

• Lecture and exercise sessions: 45h
• Preparation and review of the lecture: 30h
• Work on exercises and assignments: 75h
• Preparation for the exam: 30h

VIS-IVVA-M: Advanced Information Visualization and Visual Analytics, Gruppe 1

Dozentinnen/Dozenten:

Cedric Krause, Shahid Latif

Angaben:

Übung, 2,00 SWS, Modulstudium

Termine:

Mo, 14:00 - 16:00, WE5/05.003

VIS-IVVA-M: Advanced Information Visualization and Visual Analytics, Gruppe 2

Dozentinnen/Dozenten:

Cedric Krause, Shahid Latif

Angaben:

Übung, 2,00 SWS

Termine:

Mi, 16:00 - 18:00, Raum n.V.

VIS-Proj-M: Masterprojekt Informationsvisualisierung - Visualizing Commits in Software Repositories

Dozentinnen/Dozenten:

Cedric Krause, Fabian Beck

Angaben:

Projekt, 4,00 SWS, ECTS: 6

Termine:

Fr, 8:00 - 12:00, WE5/05.003

Voraussetzungen / Organisatorisches:

Requirements: Advanced 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 Topic in Winter 2022/2023: Visualizing Commits in Software Repositories

Software projects are usually organized in repositories that are hosted either publicly (e.g., GitHub) or on a private server. These repositories contain all changes made to the source code in a series of commits, each of which has many properties that are either explicit (e.g., the author of the changes) or implicit (e.g., lines of code changed). The commits can be viewed as an event sequence in which each event is one single commit. In git-based repositories, there are also branches and merges, making the sequence richer and more complex. In this project group we aim at creating visualizations that describe the evolution of software projects with a focus on multivariate attributes of the events (commits). We will collect the commits of software projects and determine a variety of attributes for each of them and create a visual design that is flexible enough to represent different perspectives on the data (e.g., socio-technical, relationships to issues, code quality, etc.). Finally, we will implement a prototype of the visual design by leveraging visualization libraries either in Python (e.g., matplotlib, plotly) or in JavaScript (e.g., D3js).

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, an advanced interactive visualization application is to be developed in a group effort.

Learning goals and competences:

Students learn to work independently on a research-oriented 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-M: Masterseminar Informationsvisualisierung - Text and Visualization

Dozentinnen/Dozenten:

Fabian Beck, Shahid Latif

Angaben:

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

Termine:

Mi, 12:00 - 14:00, WE5/02.005
vom 11.1.2023 bis zum 8.2.2023

Voraussetzungen / Organisatorisches:

Requirments: None.

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: Text and Visualization

While a visualization is worth a thousand words, also the importance of words inside visualizations cannot be neglected. Text and visualizations act as complementary representations. For instance, visualization allows seeing patterns in large textual corpora. However, often, visualizations are complex, and text can play a role in unwinding this complexity in many ways. Similarly, to further ease up the interactions with a data visualization, natural language interfaces (e.g., chatbots) are being adopted. In this seminar, we will take a deeper look at the state-of-the-art research happening in regard to the relationship between text and visualization.

General information:

The seminar investigates current trends in a subarea of visualization research. Based on an extensive literature review, different visualization approaches will be compared and evaluated. All participants work on individually assigned topics that contribute different facets to an overarching seminar topic.

Learning goals and competences:

Students learn to independently research and find the latest research results regarding a given research topic in applied computer science. They discuss and evaluate state-of-the-art research results and develop a deep understanding of the individual topic, its potential use and application as well as limitations. They practice methods of scientific communication in oral and written form.