Summer School papersThe Department offers the following papers in the Summer School:Math151 General Mathematics(18 points)This is both a service paper teaching the mathematical methods that are needed in other subjects and also a remedial paper to develop skills to the point where students can move on to MATH 160. It involves calculus and algebra techniques, and covers such topics as linear and quadratic models, linear programming, functional notation, basic differentiation and integration, exponentials and logarithms. MATH 151 is recommended for students with sufficient achievement in NCEA Level 2 Mathematics but insufficient achievement at Level 3 (or equivalent). Students with a reasonable achievement in either of the NCEA Level 3 Mathematics subjects will not normally be accepted for this paper: please check with your course adviser. More details Math160 Mathematics 1(18 points)This paper consists of half algebra and half calculus, and is the main entry point to 100-level mathematics. The paper provides the basis for progression to MATH 170 and then to 200-level mathematics, as well as an adequate background to support other subjects. The algebra half studies vectors and their many uses, matrices and systems of linear equations, complex numbers and polynomials. The calculus half develops differentiation and integration techniques from scratch and provides many applications that use areas, rates of change, simple differential equations and partial derivatives. Note: This paper is recommended for students with sufficient achievement in NCEA Level 3 Mathematics with Calculus or a strong performance in NCEA Level 3 Statistics with Modelling; those with a weaker background should consider taking MATH 151 first. Advanced placement into MATH 170 may be allowed for suitably qualified students. More details Stat110 Statistical Methods(18 points)This is a paper in statistical methods for students in the biological and social sciences covering descriptive statistics, probability distributions, estimation, hypothesis testing, regression, analysis of variance and experimental design. At the end of the course you should be able to make use of a wide variety of techniques in the design and analysis of your own research studies. The program R will be used for statistical analysis and data summary throughout the paper. More details |
 Detailed lists of all papers throughout the year: Maths Stats Como | |
