Probability, Statistics and Linear Programming
24EST352 · S3 · 4 credits
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Module 01Random variablesexpand
(Text 1: Relevant topics from sections 4.1, 4.4, 5.1). Random Variables (discrete and continuous)-Probability density function, distribution function, Mathematical expectation, variance and their properties.
Module 02Probability distributionsexpand
(Text 1: Relevant topics from sections 4.2, 4.6, 5.2) Binomial distribution, Poisson distribution, Normal distribution.
Module 03Introduction to Statisticsexpand
(Text 2: Relevant topics from sections 25.5,25.6,25.9,25.10,25.11) Measures of central tendency, Measures of Dispersion-Mean deviation about median, standard deviation, Moments-Skewness-Kurtosis (Concept only) .
Module 04Applied Statisticsexpand
(Text 2- Relevant topics from sections 24.4,24.5,25.12,25.13,25.14) Curve fitting by the method of least squares- fitting of straight lines, second degree parabolas, Correlation, linear regression.
Module 05Optimization techniquesexpand
(Text 3: Relevant topics from chapters 2,3 and 4) Linear programming problems - Mathematical formulation, graphical method of solution, simplex method.
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