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

 

2010

2009

2008

2007