Introduction: Data for Graphics, Design principles, Value for visualization, Categorical, time series, and statistical data graphics, Introduction to Visualization Tools
Aesthetics and Perception: Graphical Perception Theory, Experimentation, and the Application, Graphical Integrity, Layering and Separation, Color and Information, Using Space Effectively
Visualization Design: Visual Display of Quantitative Information, Data-Ink Maximization, Graphical Design, Exploratory Data Analysis, Heat Map
Multidimensional Data: Query, Analysis and Visualization of Multi-dimensional Relational Databases, Interactive Exploration, tSNE
Interaction: Interactive Dynamics for Visual Analysis, Visual Queries, Finding Patterns in Time Series Data, Trend visualization, Animation, Dashboard, Visual Storytelling
Collaboration: Graph Visualization and Navigation, Online Social Networks, Social Data Analysis, Collaborative Visual Analytics, Text, Map, Geospatial data
Lab Content
Visualization Design, Exploratory data analysis, Interactive Visualization Tools like Gephi, D3, etc. Mini Project.
We will be using Python Dash, R-Shiny, D3 JS, Grephi in our lab work
Learning Materials
Textbook
E. TUFTE (2001), The Visual Display of Quantitative Information, Graphics Press, 2nd Edition.
J. KOPONEN, J. HILDÉN (2019), Data Visualization Handbook, CRC Press.
Reference Books
M. LIMA (2014), The Book of Trees: Visualizing Branches of Knowledge, Princeton Architectural Press.
R. TAMASSIA (2013), Handbook of Graph Drawing and Visualization, CRC Press.
S. MURRAY (2017), Interactive Data Visualization for the Web, O’Reilly Press, 2nd Edition.
Attendance Requirement
As per the notification from academics 100% attendance is mandatory. If you have genuine reason please take leave approval as per academics rule.
If attendance falls below 75%, one should get at least C grade to pass the course. Otherwise F grade will be assigned.
Grading Policy
Quizzes (slido)
Mini Project
Lab Assignments
Minors
Major
10%
10%
30%
15% + 15%
20%
Quizzes (Slido)
Each class will have 2 to 3 quizzes on slido. On mobile or laptop.
Questions will be on understanding level
75% of the quizzes will be part of the grading
Leader board will be shown each class
Mini Project
Students need to build visualization project as part of the lab exercise
Projects can be done in group, number of group members will be decided after the add-drop date.
Lab Assignment
There is 9 different assignments out of which 7 is graded
Please follow the deadlines
No copy paste from friends. Plagiarism policy will be followed if found
All of the lab assignments are already uploaded in moodle
Don’t copy from Github or public repo!
If found will be marked zero
However, you can select a Github project on visualization and make substantial changes as part of your project. In this case share the changes you have made in the project.
Plagiarism tolerance is 7% from single source and 15% cumulative, anything more will reduce your marks as follows:
Any logical/conceptual/formulation plagiarism: zero marks
Other form of plagiarism (above 50%): zero marks
Otherwise: Percentage of plagiarism will be deducted from the obtained mark