|Course code INFT3160||Units 10||Level 3000||Faculty of Science and Information TechnologySchool of Design, Communication and IT|
This course provides students with the knowledge and tools to apply analytical methods to increasingly large volumes of business data being accumulated by many organizations in order to yield knowledge of strategic importance to the organization. These techniques represent new ways of examining and drawing lessons from data.
Not available in 2015
|Objectives||On successful completion of this course, students will be able to:|
1. Demonstrate familiarity with the nature of datasets that are commonly generated during business activities, and the challenges of managing data within organisations.
2. Demonstrate knowledge of data analytics techniques, and the ability to select between different analysis techniques as appropriate to the application area.
3. Articulate key concepts and methods of Data Mining, Data Warehousing, and Business Intelligence.
4. Gather, integrate, clean, analyse and report on data
5. Select appropriate visualisation methods and techniques to support decision making within organisations
|Content||1. The nature of contemporary data resources and the processes for accumulating it.|
2. Measurement techniques, and sources of inaccuracy in measurement.
3. The new questions that businesses can now ask with these new data collections and how this impacts on the nature of mechanisms for data collection.
4. Data integration
5. Data management and analysis software
6. Emerging data models, specifically NO SQL and similar analysis/report oriented models
7. Information Visualisation
|Assumed Knowledge||STAT1070 and INFT2040 or equivalent.|
|Modes of Delivery||Internal Mode|
Self Directed Learning
|Contact Hours||Lecture: for 2 hour(s) per Week for 12 weeks|
Workshop: for 2 hour(s) per Week for Full Term