School of Electronic Engineering and Computer Science

Miss Janice Li


Room Number: Peter Landin, CS 440


Data Mining (Undergraduate)

Data that has relevance for decision-making is accumulating at an incredible rate due to a host of technological advances. Electronic data capture has become inexpensive and ubiquitous as a by-product of innovations such as the Internet, e-commerce, electronic banking, point-of-sale devices, bar-code readers, and electronic patient records. Data mining is a rapidly growing field that is concerned with developing techniques to assist decision-makers to make intelligent use of these repositories. The field of data mining has evolved from the disciplines of statistics and artificial intelligence. This module will combine practical exploration of data mining techniques with a exploration of algorithms, including their limitations. Students taking this module should have an elementary understanding of probability concepts and some experience of programming.

Web Programming (Undergraduate)

Many computer systems are now accessed through a web interface. This module provides an in-depth and practical study of techniques for programming the web. Students will become proficient in a modern web development framework using PHP for sever programming and Javascript for client programming. The strengths and weaknesses of the framework are evaluated considering issues including authentication, security, session management, cross languages (PHP, SQL, Javascript) consistency and abstraction of the server-client interface. Different architecture styles are compared, including REST and AJAX and the use of JSON. Techniques for testing and for engineering web systems that behave robustly under high load are also covered.