Representation and understanding of data in various applications become increasingly important. Students will gain an understanding of the basic theoretical concepts, principles and techniques of data visualization. The main topic of this course is to study the transform of large quantities of raw data into graphical representations by exploiting the superior visual processing capability of the human brain to detect patterns and draw inferences. The goal is to improve interpretation and communication of data.
The data sets can be results of numerical computations or measurements, or other large data collections from information field. The emphasis of the course is on visualizing the scientific and engineering data, from various application fields. Theory and general principles will be studied, and illustrated by practical examples from applications. Related topics in the fields of visual perception, mathematics, and computer science will be involved in order to derive more effective visualization solutions for complex problems. Practice will be also made on visualization systems.
The data sets can be results of numerical computations or measurements, or other large data collections from information field. The emphasis of the course is on visualizing the scientific and engineering data, from various application fields. Theory and general principles will be studied, and illustrated by practical examples from applications. Related topics in the fields of visual perception, mathematics, and computer science will be involved in order to derive more effective visualization solutions for complex problems. Practice will be also made on visualization systems.
- Teacher: ehwu, Wu EnHua