sourav ganguly

Mathematical Methods in Engineering and Science

Course Description

The purpose of this course is to provide students with skills to analyze and interpret small and large biological data sets. Fundamentals in probability and statistics will be taught through the use of homework problems, case studies and projects focused on computational analysis of biological data. Topics covered include: Populations and samples; random variable; discrete and continuous probability distributions; exploratory data analysis; descriptive statistics; confidence intervals; expectations; variances; central limit theorem; independence; hypothesis testing; fitting probability models; pvalues; goodness-of-fit tests; correlation coefficients; non-parametric tests; ANOVA; linear regression; bootstrapping; and maximum likelihood estimation.

Course Objective

This Course covers lesson :

  • Applied Linear Algebra
  • Nonlinear Optimization
  • Numerical Methods
  • Vector and Complex Analysis
  • Differential Equations and Applications
  • Approximation Techniques

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