COMP5048: Information Visualisation S2/2011

Time/Location:

Tuesday 3-5pm, SIT Lecture Theatre 123

Unit coordinator:

A/Prof. Seok-Hee Hong

Lecturers:

A/Prof. Seok-Hee Hong (Lecturer in charge)

Prof. Peter Eades

Dr. Fabrizio Fratti

Contact:

shhong (at) it (dot) usyd (dot) edu (dot) 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

You need to have

Basic knowledge of algorithms and data structures
Basic mathematical skills, especially geometry
Basic programming skills, in any language

It helps if you

Have studied Algorithms, especially Computational Geometry
Can write programs using graphics
Are comfortable with spatial design problems

Learning Outcomes

Basic concepts and algorithms to produce good visualizations of abstract data effectively and efficiently:

Understanding visualization methods
Using geometric algorithms for visualization
Applying visualization methods

USYD Policies

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

Coordinator

Seokhee Hong

Consultation time: by appointment

shhong (at) it (dot) usyd (dot) edu (dot) au

Level 3, School of Information Technologies Building, J12

Lecture Timetable (subject to change)

Week	Date	Topic	Lecturer	Comments
1	26 July	Introduction	Seokhee
2	2 August	Tree Drawing and Visualisation	Seokhee
3	9 August	Spring Algorithm Metromap Homework	Peter
4	16 August	Drawing Clustered Graphs Assignment1	Peter
5	23 August	Network Analysis	Seokhee
6	30 August	Visual Analytics Assignment 2	Seokhee
7	6 September	Visual Analytics 2 Assignment 3	Seokhee
8	13 September	Sugiyama Method	Fabrizio
9	20 September	Evaluation	Dr. Tony Huang
	27 September	Mid-term break
10	4 October	Drawing Planar Graphs	Fabrizio
11	11 October	Student Presentation 1 Final Report	Seokhee
12	18 October	Student Presentation 2	Seokhee
13	25 October	Student Presentation 3	Seokhee

Assessment

1: Written assignment

2: Programming assignment

3: Presentation

4: Exam

Previous course offerings