Data Processing and Visualization Techniques 2401-OG-EN-DPVT
Information visualization is the new interdisciplinary study of "the visual representation of large-scale collections of non-numerical information, such as files and lines of code in software systems, library and bibliographic databases, networks of relations on the internet, and so forth”. By using visual maps it is possible to study the structure and dynamics of the various fields of science and discover the scholar trends and themes.
While fields such as scientific visualization involve the presentation of data that has some physical or geometric correspondence, information visualization focuses on abstract data without such correspondences such as symbolic, tabular, networked, hierarchical, or textual information sources.
The course will highlight the process of producing effective visualizations that take the needs of users into account and illustrate practical visualization procedures. It will cover the
• history and related fields of information visualization
• perceptual basis of information visualization,
• major and advanced visualization techniques,
• data processing tools and techniques,
• discussions of information visualization systems and fundamental problems in the field.
The course objective is to give a practical knowledge of how to effectively visualize abstract information and hands-on experience in the application of this knowledge to specific domains, different tasks such as browsing or organizing information for diverse and possibly non-technical users.
Total student workload
Learning outcomes - knowledge
Learning outcomes - skills
Learning outcomes - social competencies
Teaching methods
Exploratory teaching methods
- project work
Prerequisites
Course coordinators
Assessment criteria
The final assessment include:
• regular attendance at lecture,
• make up the homework,
• 2 final projects design and presentation.
Evaluation scheme rely on following values: project’s substantive value (50%), mastery of technology (20%), aesthetic (10%), innovation (10%) and very essential optimizing output files (10%).
Practical placement
not applicable
Additional information
Additional information (registration calendar, class conductors, localization and schedules of classes), might be available in the USOSweb system: