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  {\bf Syllabus- Biological Data Analytics (SBDA131C)}\\
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\subsection*{Unit-I:}
Review of the basic concepts of Probability (up to Baye’s Theorem) and Statistics (Central tendencies
and standard deviations).

\subsection*{Unit-II:}
Probability Distribution functions: Binomial, Poisson and Normal distributions.

\subsection*{Unit-III:}
Correlation and Regression analyses, Correlation Coefficients, Least square method and curve
fittings, Single and multivariable regression.
\subsection*{Unit-IV:}
Test of hypotheses, Z-test, t-test, the chi-square test, F-test and ANOVA test.
\subsection*{Unit-V:}
Area and averages as integrals, Numerical techniques for Integration, Concept of a differential
Equation and formulation of some problems in the language of differential equations, Numerical
solution of differential equations.
\subsection*{Unit-VI:}
Representation of a system of linear equations as a matrix equation, Finding inverse of a matrix,
Numerical solutions of system of linear equations, Determinants, Eigenvalues and Eigenvectors and
methods to find them.

\subsection*{Text/Reference Books:}
\begin{enumerate}
 \item `Biostatistics -A Foundation for Analysis in the Health Sciences' by Wayne E. Daniel and Chad L. Gross.
 \item `Fundamental of Biostatistics' by Bernard Rosner.
 \item  `Biostaistics -The Bare Essentials' by G. R. Norman and D L Streiner.
 \item `Introduction To Probability And Statistics For Engineers And Scientists' by Sheldon Ross.
 \item `Mathematical Methods for Physics and Engineering' by Riley, Hobson and Bence.
\end{enumerate}



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