Maths: The set theory properties of sub sets; linear geometric functions, the binomial theorem of integer, limits of functions (basic idea of limits of function without analytic definition), derivatives of functions, logarithm (definition & laws of logarithm, use of logarithm table), differentiation, integration (general introduction, significance and application for simple algebraic and trigonometric functions).
Biostatistics: Probability calculation (classical & axiomatic definition of probability, theorem on total and compound probability), standard distribution with important properties, simple problems involving binomial, poissonand normal variables, methods of sampling collection of data; primary & secondary data, classification & tabulation, confidence level, statistics, idea of sampling, distribution and standard error, large samples; normal tests, measurement of dispersion (measures of location and dispersion).
Computers: General introduction (characteristics, capabilities, generations), software, hardware; organic ion of hardware (input devices memory, control unit arithmetic logic unit, output devices); software; application software, languages-low level, high level). interpreter, compiler, data processing; batch, on-line, real time (example from bio-industries, e.g. application of computers in co-ordination of solute concentration, ph, temperature, etc., of a fermenter in operation); internet application.
Bioinformatics: Application of computers in biotechnology, genome analysis, sequence, primer designing, phylogenetic analysis.