This module is designed to introduce students to the principles and practices of visualizing data and information. Through a combination of lectures, discussions, and hands-on projects, students will gain practical experience using visualization tools and techniques to analyze and present data in a clear and effective manner. Students will learn how to create effective visualizations that can be used to explore, analyze, and communicate complex data sets. 

The course covers a range of topics, including the fundamentals of visual perception and cognition, data visualization techniques, and the use of specialized software tools. Students apply their knowledge to real-world data sets and develop their own visualizations. By the end of the course, students will have a deep understanding of the principles of information visualization and will be able to use visualization to effectively communicate data-driven insights. Students will acquire the skills and knowledge needed to create effective visualizations for a variety of applications.

• Fundamentals: terms and definitions, basic principles, visualization workflow, visual perception
• Data preparation: acquisition of data, analysis, transformation, exploration
• Visualization process: visual coding, interactivity, idioms, and best practices
• Interaction techniques: Focus and context techniques, operating and orienting, filtering and aggregating, coordinating multiple views
• Design process: visualization goals, design techniques, prototyping, and realization
• Construction kit with building blocks: elements and layout structures, interaction classes, data structures and attribute types, task taxonomy, visualization patterns and their combinations
• Tools: generic tools for visualization, program libraries and frameworks-
• Applications: search interfaces, visualization of graphs and networks, parallel coordinates and Sankey diagrams
• Validation: analysis of existing applications, evaluation of interactive information visualizations