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JNTUA B.TECH R 20 2-2 Syllabus For Numerical methods & probability theory PDF 2022

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JNTUA B.TECH R 20 2-2 Syllabus For Numerical methods & probability theory PDF 2022

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You will be able to find information about Numerical methods & probability theory along with its Course Objectives and Course outcomes and also a list of textbook and reference books in this blog.You will get to learn a lot of new stuff and resolve a lot of questions you may have regarding Numerical methods & probability theory after reading this blog. Numerical methods & probability theory has 5 units altogether and you will be able to find notes for every unit on the CynoHub app. Numerical methods & probability theory can be learnt easily as long as you have a well planned study schedule and practice all the previous question papers, which are also available on the CynoHub app.

All of the Topic and subtopics related to Numerical methods & probability theory are mentioned below in detail. If you are having a hard time understanding Numerical methods & probability theory or any other Engineering Subject of any semester or year then please watch the video lectures on the official CynoHub app as it has detailed explanations of each and every topic making your engineering experience easy and fun.

Numerical methods & probability theory Unit One

Solution of Algebraic & Transcendental Equations:

ntroduction-Bisection method-Iterative method-Regula falsi method-Newton Raphson methodSystem of Algebraic equations: Gauss Jordan method-Gauss Siedal method.

Numerical methods & probability theory Unit Two

Interpolation

Finite differences-Newton’s forward and backward interpolation formulae –Lagrange’s formulae. Gauss forward and backward formula, Stirling’s formula, Bessel’s formula.

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Numerical methods & probability theory Unit Three

Numerical Integration & Solution of Initial value problems to Ordinary differential equations

Numerical Integration: Trapezoidal rule –Simpson’s 1/3 Rule –Simpson’s 3/8 RuleNumerical solution of Ordinary Differential equations: Solution by Taylor’s series-Picard’s Method of successive Approximations-Modified Euler’s Method-Runge-Kutta Methods.

Numerical methods & probability theory Unit Four

Probability theory:

Probability, probability axioms, addition law and multiplicative law of probability, conditional probability, Baye’s theorem, random variables (discrete and continuous), probability density functions, properties, mathematical expectation.

Numerical methods & probability theory Unit Five

Random variables & Distributions:

Probability distribution -Binomial, Poisson approximation to the binomial distribution and normal distribution-their properties-Uniform distribution-exponential distribution

Numerical methods & probability theory Course Objectives

This course aims at providing the student with the knowledge on various numerical methods for solving equations, interpolating the polynomials, evaluation of integral equations and solution of differential equations. The theory of Probability and random variables.

Numerical methods & probability theory Course Outcomes

Apply numerical methods to solve algebraic and transcendental equations •Derive interpolating polynomials using interpolation formulae•Solve differential and integral equations numerically•Apply probability theory to find the chances of happening of events.•Understand various probability distributions and calculate their statistical constants.

Numerical methods & probability theory Text Books

1. Higher Engineering Mathematics, B.S.Grewal, Khanna publishers.
2. Probability and Statistics for Engineers and Scientists, Ronald E. Walpole,PNIE.Advanced Engineering Mathematics, by Erwin Kreyszig, Wiley India.

Numerical methods & probability theory Reference Books

1. Higher Engineering Mathematics, by B.V.Ramana, Mc Graw Hill publishers.
2. Advanced Engineering Mathematics, by Alan Jeffrey, Elsevier.

Scoring Marks in Numerical methods & probability theory

Scoring a really good grade in Numerical methods & probability theory is a difficult task indeed and CynoHub is here to help!. Please watch the video below and find out how to get 1st rank in your B.tech examinations . This video will also inform students on how to score high grades in Numerical methods & probability theory. There are a lot of reasons for getting a bad score in your Numerical methods & probability theory exam and this video will help you rectify your mistakes and help you improve your grades.

Information about JNTUA B.Tech R 20 Numerical methods & probability theory was provided in detail in this article. To know more about the syllabus of other Engineering Subjects of JNTUH check out the official CynoHub application. Click below to download the CynoHub application.

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