Understanding the differences between contrasting groups is a fundamental task in data analysis. This realization has led to the development of a new special purpose data mining technique, contrast-set mining. We undertook a study with a retail collaborator to compare contrast-set mining with existing rule-discovery techniques. To our surprise we observed that straightforward application of an existing commercial rule-discovery system, Magnum Opus, could successfully perform the contrast-set-mining task. This led to the realization that contrast-set mining is a special case of the more general rule-discovery task. We present the results of our study together with a proof of this conclusion.

Understanding the differences between contrasting groups is a fundamental task in data analysis. This realization has led to the development of a new special purpose data mining technique, contrast-set mining. We undertook a study with a retail collaborator to compare contrast-set mining with existing rule-discovery techniques. To our surprise we observed that straightforward application of an existing commercial rule-discovery system, Magnum Opus, could successfully perform the contrast-set-mining task. This led to the realization that contrast-set mining is a special case of the more general rule-discovery task. We present the results of our study together with a proof of this conclusion.

In contrast to other studies of students in online environments, which examine the skills and attitudes that students bring to an online university learning environment, we are interested in the expectations with which students come to online university study. Four expectational barriers, which arise from students' background and cultural history, are identified as being: who is responsible for learning, who is responsible for student interaction with content, who is responsible for the use of appropriate learning strategies and who is responsible for required ancillary skills. There is a discussion of how these barriers arise and how one might attempt to manage the students' expectations and ameliorate their effects.

Information Technology (IT) changes very quickly and influences business, industry and the public in an enormous manner. Outsourcing of IT jobs to cheaper overseas labor and globalization of IT companies become a common practice. Graduates of IT university courses must be well prepared to address the needs and expectations of business, industry and every day life. Many factors in an Information Technology curriculum influence graduates' professional preparation and image. The most important of them is to reflect technology change, the current state of knowledge of computing, business and industry demands and students' expectations. The aim of our project was to develop a new Bachelor of IT curriculum that satisfies these requirements. In this report we concentrate our attention on two critical aspects of IT curriculum content, the modern technologies to be used to illustrate basic concepts and principles of computing, and the generic skills that each graduate is expected to acquire to get a job in Australia.