Punyashlok Ahilyadevi Holkar Solapur University, Maharashtra, Civil Engineering Semester 4, Engineering Mathematics 3 Syllabus

Engineering Mathematics 3 Lecture notes | Videos | Free pdf Download | Previous years solved question papers | MCQs | Question Banks| Syllabus
Get access to 100s of MCQs, Question banks, notes and videos as per your syllabus.
Try Now for free

Unit - 1 Higher Order Linear Differential Equations And Applications

Unit 1

Higher order linear differential equations and applications

1.2 Particular integral by general method without method of variation of parameters for other functions

1.3 Homogeneous Linear Differential equations

1.4 Legendre’s Linear equation

1.5 Civil Engineering Applications

Unit - 2 First Order Partial Differential Equations

Unit 2

First order partial differential equations

2.1 Non – Linear partial differential Equations of Type I ƒp q 0 Type II ƒpqz0 Type III ƒ2 p x ƒ2 qy

2.2 Linear partial differential equation Lagrange’s method

2.3 Solution of partial differential equation by method of separation of variables

Unit - 3 Fourier Series

Unit 3

Fourier series

3.1 Introduction Definition and Eular’s formula

3.2 Fourier series of periodic functions with period 2π and 2L Dirichlet’s theorem Only statement

3.3 Even and odd functions half range sine and cosine series.

Unit - 4 Laplace Transform

Unit 4

Laplace transform

4.1 Definition Laplace transform of standard functions

4.2 Properties first shifting change of scale multiplication of power t and division by t

4.4 Laplace transform of derivative and integral

4.5 Inverse Laplace transform properties of inverse Laplace transforms linear property first shifting theorem partial fraction

4.6 Inverse transform of logarithmic inverse trigonometric functions and convolution theorem

4.7 Solution of differential equations by Laplace transform

Unit - 5 Statistics

Unit 5

Statistics

5.2 Coefficient of correlation by Karl Pearson‟s method and lines of regression of bivariate data

Unit 5

Statistics

5.2 Coefficient of correlation by Karl Pearson‟s method and lines of regression of bivariate data

Unit 5

Statistics

5.2 Coefficient of correlation by Karl Pearson‟s method and lines of regression of bivariate data

Unit 5

Statistics

Unit 5

Statistics

5.2 Coefficient of correlation by Karl Pearson‟s method and lines of regression of bivariate data

Unit - 6 Probability

Unit 6

Probability

6.1 Random variable discrete and continuous random variable Probability density function

6.2 Binomial Poisson and Normal distributions

Unit 6

Probability

6.1 Random variable discrete and continuous random variable Probability density function

6.2 Binomial Poisson and Normal distributions

Probability

Unit 6

Probability

6.1 Random variable discrete and continuous random variable Probability density function

6.2 Binomial Poisson and Normal distributions

Probability

Unit 6

Probability

6.1 Random variable discrete and continuous random variable Probability density function

Unit 6

Probability

6.1 Random variable discrete and continuous random variable Probability density function

6.2 Binomial Poisson and Normal distributions

Download CIVIL Sem 4 syllabus pdf
Get access to 100s of MCQs, Question banks, notes and videos as per your syllabus.
Try Now for free
Popular posts
Top 10 civil engineering colleges in India
What is tacheometry
All about toposheets
Disaster management explained
What is depreciation
Share  
Link Copied
More than 1 Million students use Goseeko! Join them to feel the power of smart learning.
Spot anything incorrect? Contact us