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Lecture 32 : Diagonalization and Real Symmetric Matrices II, by Prof.Inder Kumar Rana

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Lecture 32 : Fundamental Theorem of Galois Theory, by Dilip P. Patil

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Lecture 32 : Generalized Krull’s Principal Ideal Theorem, by Dilip P. Patil

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Lecture 32 : Measures of Association for Discrete and Counting Variables (Part-2), by Shalabh

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Lecture 32: Fourier Transform of Derivative and Integral of a Function, by A. Goswami

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Lecture 32: Integral Calculus -Double Integrals: Change of Variables, by Jitendra Kumar

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Lecture 32: Numerical Methods for Boundary Value Problems (BVP), by Somnath Bhattacharyya

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Lecture 32: Rank of a Matrix (cont….), by Prof.Sourav Mukhopadhyay

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Lecture 32: Testing of Hypotheses : Basic Concepts-II, by Somesh Kumar

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Lecture 32: Vector Calculus, by Hari Shankar Mahato

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Lecture 33 : Data Handling-Importing CSV and Tabular Data Files, by Shalabh

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Lecture 33 : Diagonalization and Real Symmetric Matrices III, by Prof.Inder Kumar Rana

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Lecture 33 : Fundamental Theorem of Galois Theory (Contd), by Dilip P. Patil

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Lecture 33 : Least Squares Method-One Variable, by Shalabh

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Lecture 33 : Second Proof of Krull’s Principal Ideal Theorem, by Dilip P. Patil

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Lecture 33: Applications of Properties of Fourier Transform-I, by A. Goswami

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Lecture 33: Integral Calculus -Double Integrals: Surface Area, by Jitendra Kumar

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Lecture 33: Limit, Continuity, Differentiability, by Hari Shankar Mahato

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Lecture 33: Neyman Pearson Fundamental Lemma-I, by Somesh Kumar

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Lecture 33: Numerical Methods for Nonlinear BVP, by Somnath Bhattacharyya

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Lecture 33: System of Linear Equations, by Prof.Sourav Mukhopadhyay

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Lecture 34 : Cyclotomic Extensions, by Dilip P. Patil

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Lecture 34 : Diagonalization and its Applications I, by Prof.Inder Kumar Rana

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Lecture 34 : Least Squares Method-R Commands and more than one Variables, by Shalabh

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Lecture 34 : Numerical Methods for Coupled Set of BVP, by Somnath Bhattacharyya

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Lecture 34 : The Spec Functor, by Dilip P. Patil

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Lecture 34: Applications of Properties of Fourier Transform-II, by A. Goswami

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Lecture 34: Data Handling-Importing Data Files from other Software, by Shalabh

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Lecture 34: Integral Calculus -Triple Integrals, by Jitendra Kumar

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Lecture 34: Neyman Pearson Fundamental Lemma-II, by Somesh Kumar

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Lecture 34: Row Rank and Column Rank, by Prof.Sourav Mukhopadhyay

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Lecture 34: Successive Differentiation, by Hari Shankar Mahato

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Lecture 35 : Cyclotomic Polynomials, by Dilip P. Patil

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Lecture 35 : Diagonalization and its Applications II, by Prof.Inder Kumar Rana

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Lecture 35 : Prime Ideals in Polynomial Rings, by Dilip P. Patil

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Lecture 35 : Statistical Functions : Frequency and Partition Values, by Shalabh

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Lecture 35: Application of NP-Lemma-I, by Somesh Kumar

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Lecture 35: Eigen Value of a Matrix, by Prof.Sourav Mukhopadhyay

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Lecture 35: Fourier Transform of Convolution of Two Functions, by A. Goswami

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Lecture 35: Integral Calculus – Triple Integrals (Cont.), by Jitendra Kumar

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Lecture 35: Integration of Vector Function, by Hari Shankar Mahato

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Lecture 35: Numerical Methods for PDEs, by Somnath Bhattacharyya

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Lecture 36 : Application of NP-Lemma-II, by Somesh Kumar

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Lecture 36 : Characterization of Equidimensional Affine Algebra, by Dilip P. Patil

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Lecture 36 : Diagonalization and its Applications III, by Prof.Inder Kumar Rana

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Lecture 36 : Eigen Vector, by Prof.Sourav Mukhopadhyay

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Lecture 36 : Irreducibility of Cyclotomic Polynomials over Q, by Dilip P. Patil

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Lecture 36 : Region Elimination Technique-1, by A. Goswami

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Lecture 36 : Statistical Functions-Graphics and Plots, by Shalabh

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Lecture 36: Gradient of a Function, by Hari Shankar Mahato

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