COMP5048:  Information Visualisation S2/2009

 

Time/Location:

 

 Thursday 3-5pm, SIT Lab 117

Unit coordinator:

Associate Professor Seok-Hee Hong

 

Lecturers:

Professor Peter Eades (Lecturer in charge)

 

Associate Professor Seok-Hee Hong

 

Dr. Tony Huang

Contact:

 

peter at  it.usyd.edu.au

 

 

Unit Specification

Information Visualisation aims to make good pictures of abstract information, such as stock prices, family trees, and software design diagrams. Well designed pictures can convey this information rapidly and effectively. The research challenge for Information Visualisation is to design and implement new algorithms that produce such pictures.

Applications include visualisation of biological data, social networks, and software systems.

This unit provides basic concepts, techniques and fundamental algorithms to create good visualisations of abstract information. Further, it also provides opportunities for academic research and developing new methods for information visualisation.

 

Assumed Knowledge

It is assumed that students have basic knowledge of data structures, as well as programming skills.

 

USYD Policies

You are required to carefully read the USYD policies on Academic Honesty, Special Consideration due to illness and misadventure, and Late Submissions.

 

Lecture Timetable (subject to change)

 

 Week

Date

Topic

Lecturer

Comments

1

Thursday, 30 July 2009

Introduction

Peter

Nice pictures; course organisation

2

Thursday, 6 August 2009

Trees

Peter

Reingold-Tilford; radial; HV; tip-over

3

Thursday, 13 August 2009

Force directed

Peter

Springs; MDS; eigenvectors

4

Thursday, 20 August 2009

Layered graphs

Peter

Layering; feedback arc set; crossings

5

Thursday, 27 August 2009

Layered graphs; clustered graphs

Peter

Crossings; edge straightening

6

Thursday, 3 September 2009

Network analysis

Seok-Hee

Visual analytics; Valacon

7

Thursday, 10 September 2009

Planarity

Peter

Planarity algorithm; planarisation; graph theory

8

Thursday, 17 September 2009

Perception; Evaluation

Tony

Visual perception and cognition models;

intro to evaluation methods

9

Thursday, 24 September 2009

Evaluation

Tony

Experiment design and analysis;

several experiments examples

 

Thursday, 1 October 2009

Mid-term break

 

 

10

Thursday, 8 October 2009

Student presentations

Tony

 

11

Thursday, 15 October 2009

Student presentations

Tony

 

12

Thursday, 22 October 2009

Student presentations

Tony

 

13

Thursday, 29 October 2009

Wrap up lecture

Peter

Research directions

 

Assessment

 

TBA

 

Previous course offerings

 

2008

2007