Message from the Chairperson
Mathematics today is an enabling science which has a multitude of applications in industry, climate modelling and weather forecasting, financial and market modelling, cryptography, astrophysics, and many other areas. Because of the important role of mathematics, we provide papers (courses) not just for mathematics majors, but for all students who need mathematical skills in their chosen area of study.
The department offers a broad programme in pure, applied, and computational mathematics which gives opportunity for specialist and research preparation, but also serves the needs in mathematics and statistics of other disciplines in the University. These include, but are not limited to, Computer Science, Engineering, Physics, Materials and Process Engineering, Chemistry, Earth Sciences, Management, Education, Economics, and Finance.
In addition to its important teaching role, the department's staff carry out research on a variety of topics in pure, applied, and computational mathematics. This work calls on mathematical knowledge from many fields, such as calculus, algebra, analysis, geometry and numerical analysis. Students doing a qualification in mathematics normally include papers from several of these areas.
The department provides good computing facilities for its senior students. Our senior laboratory has a network of PCs running Linux and Windows. Software includes: Java, C++, Maple, Mathematica, Matlab, and other mathematical and statistical packages.
Dr Nick Cavenagh
Department of Mathematics and Statistics
Message from the Convenor - Statistics
Statistics is the science of collecting, and interpreting data subject to uncertainty. We live in a world where variability is everywhere. To make informed decisions we must understand the nature of this variability, and make the use of meaningful information. Without data we have to resort to gut feel or hunches, neither of which can be relied on. Statistics tells us how to deal with variability, and how to collect and use data so that we can make good decisions.
Almost every facet of modern life relies on some application of statistics. For example:
- Discoveries in medical science owe much to the statistical analysis of clinical trials.
- In agriculture, productivity increases have been achieved through the design and analysis of well planned experiments.
- The quality of manufactured products has been improved using simple statistical process control methods.
- Good economic forecasts rely on the analysis of sound economic and financial data.
- Government planning and the provision of services are based on information collected using statistical methods of sampling.
We offer a variety of qualifications, for undergraduate, graduate and postgraduate students, which reflect this need for statistics in the community. Statistics staff at the University of Waikato have considerable experience in teaching a wide range of applied and theoretical statistics courses, and are actively involved in research on a variety of statistical topics.
The computer facilities in our undergraduate laboratories are among the best in New Zealand and include high performance work stations connected the the University network. Our senior computing laboratory has a network of PCs running Linux and Windows 7. Software available includes Minitab, S-PLUS, R, GenStat, Data Desk, Mathematica, Matlab, Maple, C++, and Fortran 90.
We welcome both New Zealand and international students.
The campus is in an attractive semi-rural setting, with restaurants and shopping facilities close by. The centre of Hamilton is about 4km from the campus. Auckland, New Zealand's largest city, is about a 90-minute drive. The university is close to Lake Taupo and the Tongariro National Park with some of New Zealand's most attractive scenery including active volcanoes and the world's most renowned trout fishing area. Skiing, tramping and surf beaches are within a two-hour drive.
Dr Lyn Hunt