CSL4050: Data Visualization (Winter 2023)

Logistics

• Credits L-T-P [C]: 3-0-3 [4.5]
• Expectation from 4000 level course:
  • 1 Contact Hr + 2 Non-Contact Hr
  • Learn by Assignments/Experiments
• Where: LHB 307
• Slot: F (Monday, Tuesday, and Thursday 2:00 PM - 2:50 PM)
  • Lab Slot: Will be Announced
• LMS: Moodle
  • Credential: Internet ID/Password
  • Easy Enrollment Code: ei5nm4
  • Easy Enrollment QR:

Syllabus

• Introduction: Data for Graphics, Design principles, Value for visualization, Categorical, time series, and statistical data graphics, Introduction to Visualization Tools
• Graphics Pipeline: Introduction, Primitives: vertices, edges, triangles, Model transforms: translations, rotations, scaling, View transform, Perspective transform, window transform
• 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 Tableau, 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.

Grading Policy

Quizzes (Moodle)

• There will be about 3 - 4 quizzes; best 2 will be considered for grading.
• All the quizzes will be in Moodle Platform.
• No makeup quiz will be taken considering there will be more than required no of quizzes.

Mini Project

• Students need to build visualization project as part of the lab exercise
• Projects can be done in group
• Max 2 member group is allowed

Lab Assignment

• Students will be asked to work on different graded assignments
• Best five scores will be considered for grading