About the School
Information for Students
Research and Industry
About Us
Welcome to the School of Computer Science and Software Engineering (SCSSE) – one of Australia's leading teaching and research centres for building, deploying and managing the latest computing technologies and business computing systems. These are important areas in the Australian and global economy and all of these areas are currently experiencing a boom - with great employment prospects, very good starting salaries [pdf 22kb] and excellent career paths [pdf 39kb] both in Australia and internationally.
SCSSE offers a number of courses in the fields of Computer and Communications Security, Software Engineering and Intelligent Systems.
Our undergraduate degrees are designed for high school leavers (with a HSC or equivalent) or for people with TAFE qualifications or industry experience. These degrees take 3 years full time study and provide students with all the basic skills in problem solving, programming, Web and e-business development, business databases and project management.
We also offer postgraduate degrees for people who already have a degree in computing but want to extend their skills, usually in the field of IT management. These degrees also suit people with a degree in another field who want to move into the IS or IT fields, particularly as a manager. A standard Masters degree takes 1 year full time (or 2 years part time) but we also offer some advanced masters degrees which take 2 year full time degree (or 3 - 4 years part time).
The School is also very active in ICT and IS research. We have a number of internationally recognised research groups working on location-based services, ICT adoption, security and privacy issues in ICT, strategic ICT management and in many other related fields. These research groups have publications in many of the best journals and international and national conferences. We have also received significant research funding from the Australian Research Council and other international funding schemes.
Our teaching programs are a well-balanced mix of theory and hands on activities in our up-to-date laboratories. Some of our degrees also have work placement programs as part of the curriculum. Our graduates are highly sought after by industry and we have one of the best rates for graduate employment in the country (our graduates often find a full time position during their final year or soon after graduation.
Although we're part of a "local university" (and proud of it) our students come from all over the world. We have students from China, Thailand, Singapore, Malaysia, Hong Kong, Canada, the US, various parts of Europe and several African countries. Wherever you come from, if you're into computing and want a quality degree, SCSSE is the place for you.
We have about 20 academic staff who do the teaching and research. They are all highly qualified and experienced, coming from a range of cultures and backgrounds. We also have friendly and helpful clerical and technical staff, who jointly support the School of Computer Science and Software Engineering and our sister school, the School of Information Systems and Technology.
News
- Game development teams’ success
- Strong student participation for ‘Battle of the Operating Systems’
- UOW academic leads ANSTO computing upgrade
- Government announces seven UOW academics as Future Fellows
- iPhone workshops prove a hit
- Microsoft games developer makes special return to UOW
- Counter-terrorism grant as quantum computers emerge
- Region to benefit from ICT industry cluster launch
Workshops and Seminars
Title: The Application of Microsimulation to Risk Modelling
Speaker: Mr Duc Thanh Nguyen
Day: Wednesday 4/11/2009
Location: Building 3. Common Staff Room
Time: 11.30-12.30
Abstract: Abstract: Human detection from still images and videos is a crucial step of human motion analysis that currently receives much attention in computer vision area. This presentation is to provide a comprehensive review on recent developments of human detection and then present a detection method employing local contour-appearance features. Experimental results and comparison with other state-of-the-art human detection methods will be presented. Finally, trends and future directions will be indicated and discussed by way of posing some of the remaining key problems.

