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Data Visualization

ProgramTeacherCreditDuration

Computer science

Jianrong Wang

2

40

Course Name: Data Visualization

Course Code:S2293222

Semester: 5

Credit: 2

Program: Computer science

Course Module: Optional

Responsible: Jianrong Wang

E-mail: wjr@tju.edu.cn

Department: Tianjin International Engineering Institute

Time Allocation (1 credit hour = 45 minutes)

Exercise

Lecture

Lab-study

Project

Internship

(days)

Personal

Work

8

12

20

10

Course Description

The course is designed for Engineering Master in TIEI. Visual data analysis, namely VDA (Visual Data Analysis) is a new kind of business intelligence technology, which overcomes the traditional data analysis tedious, boring ills, integrated use of graphics, animation and other means to easily and effectively implement data analysis function. Rational use of visual data analysis, can help companies to "let the data speak" work ethic carried out, so that different statistical analysis, the different business needs of employees can extract valuable information from existing data. Besides, some experimental projects will be combined to cultivate students to develop simple data visualization. Students will have a preliminary and extensive understanding about data visualization, which enables students to become more effective Programrs.

Prerequisite

  • Data Mining:understand the basic components of the data mining

  • C language programming:the ability to write programs independently

  • Computer Culture Foundation:understand basic elements of computer culture

Course Objectives

This course discusses basic concepts of computer system to help students understand the program better and enhance their professional skills. After this course, students should be able to:

  • Based on structured programming, modular structure of thought and programming technology, systematically, master the basic concepts of object-oriented programming and visualization program design ideas, development methods and development process.

  • Learn the theory and practical knowledge to the professional work-related areas, so as to improve the students' practical ability to analyze the problem and the comprehensive processing capabilities.

Course Syllabus

  • Process data management and operational applications:Concept and role of visual data analysis

  • Traditional visual analysis tools and expand:Introduce traditional visual analysis tools

  • Advanced visualization analysis tools and their application: Introduce advanced visualization analysis tools

  • Visualization solutions of the complex statistical analysis methods: Graphical System Analysis

Textbooks & References

  • WJ Schroeder,B Lorensen, K Martin.The Visualization Toolkit. 2004.

  • UM Fayyad, A Wierse,GG Grinstein.Information Visualization in Data Mining and Knowledge Discovery. 2002.

  • H Thorvaldsdóttir, JT Robinson, Integrative Genomics Viewer (IGV).High-performance Genomics Data Visualization and Exploration. 2012.

Capability Tasks

CT1: To grasp basic object-oriented programming concepts and visual programming development thinking, development methods and development process.

CT3: To improve active learning ability, willing to analyze and solve problems.

CS1: To master basic theoretical knowledge of Data Visualization, understanding their situation and development trend.

CS2: To improve students' practical ability to analyze problems and comprehensive processing capabilities.

Achievements

  • To understanding the process of data management and operational application profiles. - Level: N

  • To master visual analysis tools and their application. - Level: M

  • To master visualization solutions of complex statistical analysis. - Level: M

Students: Computer science,Year 3