Posts about courses

Data Organisation and Visualisation (KIT102)

This unit will explain the relationship between data, information and knowledge and introduce a number of different tools for managing, storing, securing, modelling, visualizing and analysing data. This unit will provide an understanding of how data can be manipulated to meet the information needs of users. Changing data into information can be accomplished with a range of tools, including XML, SQL, spread sheeting and data visualisation. Emphasis will be placed upon using the tools to match the information-seeking behaviour of users. This unit introduces the techniques to enable the students to use these tools for managing data, creating information and allowing knowledge development. Overarching the whole unit is the importance of data security and how it can be achieved. This unit concludes by introducing the concepts behind managing big data in response to global trends of capturing all available data due to inexpensive storage.

Data Analytics (KIT306)

In today's world, the prevalent use of technology and automation have resulted in an explosion in the quantity of data, often referred to as "big data", accumulated by business and by researchers. Data warehouses have been used to set up repositories for this big data. Data is seen as a critical asset for decision-making. Raw data, however, is of little value. In order to obtain insights from this big data analytical techniques are required to turn the data in the repositories into knowledge, by extracting information and identifying patterns, upon which actions can be taken. This unit will help students appreciate the value of using business intelligence tools, data mining techniques and information visualisation methods for the analysis of big data. In this unit students will explore the concepts and technology of business intelligence and experience designing and building business intelligence systems. Students will also gain an understanding of various methods and techniques and applications for data mining. Students will also investigate information visualization tools and techniques to represent the big data in forms that more readily convey embedded information. Students will gain an understanding of the major research issues in the area of big data.