Lesson Plan |
Name of the Faculty : Navya Goel |
Discipline : B.Tech.- CSE |
Semester : 1st |
Subject : Mathematics- 1 |
Lesson Plan Duration : 15 weeks (from August, 2018 to November, 2018 ) |
Work Load (Lecture) per week (in hours) : Lectures - 03 and 01 Tutorial |
Weeks |
Theory |
|
Lecture/Tutorial |
Topic |
Day |
(Including assignment / Test) |
1st |
1st |
Evolutes and involutes |
2nd |
Evolutes and involutes |
3rd |
Evaluation of definite integrals |
4th |
Revision |
2nd |
1st |
Evaluation of improper integrals |
2nd |
Evaluation of improper integrals |
3rd |
Beta and Gamma functions and their properties |
4th |
Test |
3rd |
1st |
Applications of definite integrals to evaluate surface areas |
2nd |
Applications of definite integrals to evaluate volumes of revolutions / Assignment |
3rd |
Revision |
4th |
Rolle’s theorem, Mean value theorems |
4th |
1st |
Rolle’s theorem, Mean value theorems |
2nd |
Taylor’s and Maclaurin theorems with remainders |
3rd |
Taylor’s and Maclaurin theorems with remainders |
4th |
Test |
5th |
1st |
Indeterminate forms and L'Hospital's rule |
2nd |
Maxima and minima |
3rd |
Maxima and minima / Assignment |
4th |
Revision |
6th |
1st |
Introduction of Matrices |
2nd |
Matrices : addition and scalar multiplication, matrix multiplication |
3rd |
Linear systems of equations, linear Independence |
4th |
Test |
7th |
1st |
Rank of a matrix |
2nd |
Determinants, Cramer’s Rule |
3rd |
Cramer’s Rule, inverse of a matrix |
4th |
Revision |
8th |
1st |
Gauss elimination |
2nd |
Gauss-Jordan elimination |
3rd |
Gauss elimination and Gauss-Jordan elimination / Assignment |
4th |
Test |
9th |
1st |
Introduction of Vector Space |
2nd |
linear dependence of vectors, basis |
3rd |
basis, dimension |
4th |
Revision |
10th |
1st |
Linear transformations (maps), range and kernel of a linear map |
2nd |
Rank and nullity |
3rd |
Inverse of a linear transformation, rank- nullity theorem |
4th |
Revision |
11th |
1st |
composition of linear maps, Matrix associated with a linear map |
2nd |
Matrix associated with a linear map / Assignment |
3rd |
Revision |
4th |
Test |
12th |
1st |
Eigen values |
2nd |
eigen vectors |
3rd |
Symmetric, Skew-symmetric Matrix |
4th |
Revision |
13th |
1st |
Symmetric, Skew-symmetric, and orthogonal Matrices |
2nd |
Eigen bases |
3rd |
Eigen bases |
4th |
Test |
14th |
1st |
Diagonalization |
2nd |
Diagonalization |
3rd |
Inner product spaces |
4th |
Revision |
15th |
1st |
Inner product spaces |
2nd |
orthogonalization |
3rd |
Gram-Schmidt orthogonalization / Assigenment |
4th |
Test |