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Mr Jinze Yang

Jinze

Email: jinze.yang@qmul.ac.uk
Room Number: Engineering, Eng 153

Teaching

Data Mining (Postgraduate/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.

Machine Learning (Postgraduate)

The aim of the module is to give students an understanding of machine learning methods, including pattern recognition, clustering and neural networks, and to allow them to apply such methods in a range of areas.

Object-Oriented Programming (Undergraduate)

Major topics include the concepts of class, object, method, subclass, inheritance and their use in programming. The relevance of the object oriented style with respect to concrete software problems will be stressed both in lectures and labs. There will be two hours of lectures per week, and each student will have a weekly timetabled lab session. In addition, you will be expected to spend further time outside scheduled lab periods in the lab (or at home machines if they are available), and to read textbooks and review notes.

Procedural Programming (Undergraduate)

This is an introductory module in computer programming using Java. You will learn the basic concepts of programming and learn to write and reason about simple programs. The main topics covered are: storing and manipulating data, control structures, methods and recursion, and algorithms for searching and sorting data. Classes include weekly lectures and lab sessions. You will be assessed by coursework throughout the term and by an end-of-term exam. Both will require you to demonstrate that you can write programs and understand theory.

Research

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