Part-I : 1. Set theory and mappings, 2. Binomial theorem, 3. Logarithms, 4. Trigonometry, 5. Concepts of limit and continuity, 6. Differentiation, 7. Integration, 8. Matrices and determinatns, Part-II : 1. An introductionto biostatistics, 2. Sampling theory, 3. Collection of data, 4. Graphical representation of data, 5. Measure of central tendency, 6. Measure of dispersion, 7. Probability theory, 8. Inferential statistics and test of signification, 9. coefficient of contingency and chi-square test.