Mathematics (Civil Engineering -1) - Course and Syllabus
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Mathematics (Civil Engineering -1)

Mathematics (Civil Engineering -1)

Diagonalization is a transformative technique in linear algebra that facilitates matrix operations by converting a square matrix into a diagonal form, significantly easing computations critical for civil engineering applications. Understanding eigenvalues, eigenvectors, and the criteria for diagonalization enables engineers to solve complex problems in structural analysis and systems modeling efficiently. This chapter intricately explores the process of diagonalization, application in real-world engineering scenarios, and the significance of symmetric matrices in ensuring numerical stability.

33 Chapters 20 weeks
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Course Chapters

Chapter 1

Linear Differential Equations

Chapter 2

Homogeneous Linear Equations of Second Order

Chapter 3

Second-Order Homogeneous Equations with Constant Coefficients

Chapter 4

Case of Complex Roots

Chapter 5

Complex Exponential Function

Chapter 6

Non-Homogeneous Equations

Chapter 7

Solution by Undetermined Coefficients

Chapter 8

Solution by Variation of Parameters

Chapter 9

Fourier Integrals

Chapter 10

Fourier Cosine and Sine Transforms

Chapter 11

Fourier Transform and Properties

Chapter 12

Dirac Delta Function

Chapter 13

Convolution Theorem

Chapter 14

Parseval’s Theorem

Chapter 15

Fourier Integral to Laplace Transforms

Chapter 16

Partial Differential Equations – Basic Concepts

Chapter 17

Modelling – Vibrating String, Wave Equation

Chapter 18

Separation of Variables, Use of Fourier Series

Chapter 19

Modelling – Membrane, Two-Dimensional Wave Equation

Chapter 20

Rectangular Membrane, Use of Double Fourier Series

Chapter 21

Linear Algebra

Chapter 22

Rank of a Matrix

Chapter 23

Linear Independence

Chapter 24

Vector Space

Chapter 25

Solutions of Linear Systems: Existence, Uniqueness, General Form

Chapter 26

Vector Spaces

Chapter 27

Inner Product Spaces

Chapter 28

Linear Transformations

Chapter 29

Eigenvalues

Chapter 30

Eigenvectors

Chapter 31

Similarity of Matrices

Chapter 32

Basis of Eigenvectors

Chapter 33

Diagonalization