Engineering Mathematics - I

Engineering Mathematics - I in Indian Institute of Technology, Kharagpur

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Created by IIT Kharagpur Staff Last updated Wed, 02-Mar-2022 English


Engineering Mathematics - I free videos and free material uploaded by Indian Institute of Technology, Kharagpur (IIT Kharagpur). This session contains about Engineering Mathematics - I Updated syllabus , Lecture notes , videos , MCQ , Privious Question papers and Toppers Training Provided Training of this course. If Material not uploaded check another subject

Syllabus / What will i learn?

Week 1 : Differential Calculus - Functions of One Variable

Week 2 : Partial Derivatives

Week 3 : Total Differential and Differentiability

Week 4 : Taylor's Expansion of Functions. Maxima and Minima

Week 5 : Improper Integrals

Week 6 : Double Integrals

Week 7 : Multiple Integrals & their Applications

Week 8 : System of Linear Equations - Gauss Elimination. Vector Spaces

Week 9 : Linear Transformations

Week 10 : Eigenvalues and Eigenvectors, Diagonalization

Week 11 : First Order Differential Equations

Week 12 : Higher Order Differential Equations with Constant Coefficients



Curriculum for this course
0 Lessons 00:00:00 Hours
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Description

This course is about the basic mathematics that is fundamental and essential component in all streams of undergraduate studies in sciences and engineering. The course consists of topics in differential calculus,integral calculus, linear algebra and differential equations with applications to various engineering problems. This course will cover the following main topics: Mean Value Theorems; Indeterminate Forms; Taylor's and Maclaurin's Theorems. Partial Derivatives; Differentiability; Taylor's Expansion of Functions of Several Variables. Maxima and Minima. Improper Integrals. Differentiation under Integral Sign (Leibnitz rule).Multiple Integrals and their Properties. Applications of Multiple Integrals. System of Linear Equations. Vector Spaces; Basis and Dimension of a Vector Space. Rank of a Matrix and its Properties. Linear Transformation. Eigenvalues and Eigen vectors. Diagonalization . First Order Differential Equations. Higher Order Differential Equations with Constant Coefficients. Cauchy-Euler Equations. INTENDED AUDIENCE : All branches of science and engineering

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