NIT Calicut Bioinformatics

I am interested in Bioinformatics course and for that I have taken admission in the NIT Calicut doing B.Sc in Bioinformatics. Will you tell me is there any workshop on Bioinformatics conducted in the NIT Calicut? Tell me what are the topics covered at the Bioinformatics workshop of NIT Calicut?

Can you provide me the syllabus for B.Tech Degree Programme in Biotechnology III*VIII Semester offered by School of Biotechnology National Institute of Technology Calicut (NITC)?

[sumit]

The syllabus for B.Tech Degree Programme in Biotechnology III*VIII Semester offered by School of Biotechnology National Institute of Technology Calicut (NITC) is as follows:


MA2001 MATHEMATICS III (PROBABILITY & STATISTICS)

Prerequisite: MA 1001

Module 1: Probability distributions (15 Hours)
Random variables, Binomial distribution, Hyper- geometric distribution, Mean and variance of a probability distribution, Chebyshev’s theorem, Poisson distribution, Geometric distribution, Normal Distribution, Uniform distribution, Gamma distribution, Beta distribution, Weibull distribution. Joint distribution of two random variables.


Module 2: Sampling distributions and Inference concerning means (14 Hours)
Population and samples, The sampling distribution of the mean ( σ known and σ unknown ), Sampling distribution of the variance, Maximum Likelihood Estimation, Point estimation and interval estimation, point estimation and interval estimation of mean and variance, Tests of hypothesis, Hypothesis concerning one mean, Inference concerning two means.


Module 3: Inference concerning variances proportions (13Hours)
Estimation of variances , Hypothesis concerning one variance, Hypothesis concerning two variances , Estimation of proportions , Hypothesis concerning one proportion , Hypothesis concerning several proportions, Analysis of r x c tables, Chi – square test for goodness of fit.


Module 4: Regression Analysis (14 Hours)
Bi-variate Normal distribution- joint, marginal and conditional distributions. Curve fitting, Method of least squares, Estimation of simple regression models and hypothesis concerning regression coefficients, Correlation coefficient- estimation of correlation coefficient, hypothesis concerning correlation coefficient. Estimation of curvilinear regression models, Analysis of variance:- General principles, Completely randomized designs, Randomized block diagram,
Latin square designs, Analysis of covariance.


References:
1. Johnson, R. A., Miller and Freund’s Probability and Statistics for Engineers, 6th edition, PHI, 2004.
2. Levin R. I. & Rubin D. S., Statistics for Management, 7th edition, PHI, New Delhi, 2000.
3. S.M. Ross, Introduction to Probability and statistics for Engineers, 3rd edition, Academic
Press (Elsevier), Delhi, 2005.


Syllabus B.Tech in Biotechnology III*VIII Semester National Institute of Technology Calicut