Upon completion of this course, students should be able to:
1. Demonstrate a broad understanding of the mathematics underlying key statistical methods
2. Demonstrate an understanding of basic algebra and analysis, and the ability to manually differentiate and integrate algebraic expressions, and perform Taylor series expansions
3. Understand the calculus basis of expectation and distribution theory
4. Perform matrix manipulations manually or by using software
5. Understand the numerical methods behind solutions of equations regularly encountered in methods in biostatistics

This course covers core topics in algebra and analysis, including polynomial and simultaneous equations, graphs, the concept of limits, continuity and series approximations, including Taylor series expansions. Calculus will be introduced describing the techniques of integration and differentiation of vector expressions. This will be integrated into a study of probability, where the concepts of probability laws, random variables, expectation and distributions will be introduced. Essential topics in matrix algebra relevant to biostatistical methods will be presented. Finally, essential numerical methods, including the Newton-Raphson method for solution of simultaneous equations and concepts of numerical integration will be introduced.

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Distance Learning : Paper Based

Email Discussion Group

Self Directed Learning: for 6 hour(s) per Week for Full Term