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Lecture 28 : Surface Integral, by Hari Shankar Mahato

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Lecture 28: Derivation of Fourier Cosine Transform and Fourier Sine Transform of Functions, by A. Goswami

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Lecture 28: Itã? Integral and its Properties, by N. Selvaraju

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Lecture 28: Non-Linear EOF, Overlapping Debye Layer, by Somnath Bhattacharyya

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Lecture 29 : Correlation Coefficient Using R Software, by Shalabh

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Lecture 29 : Digression on Linear Algebra, by Dilip P. Patil

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Lecture 29 : Dimension Theorem, by Dilip P. Patil

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Lecture 29 : Double Integrals (Cont.), by Jitendra Kumar

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Lecture 29 : Isometries, Eigenvalues and Eigenvectors II, by Prof.Inder Kumar Rana

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Lecture 29 : Strings-Display and Formatting, Replacement and Evaluation of Strings, by Shalabh

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Lecture 29 : Surface Integral (Contd.), by Hari Shankar Mahato

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Lecture 29 : UMVU Estimation, Ancillarity-I, by Somesh Kumar

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Lecture 29: Evaluation of Fourier Transform of Various Functions, by A. Goswami

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Lecture 29: Itã? Formula, ItÃ? Processes, by N. Selvaraju

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Lecture 29: More on Linear Mapping, by Prof.Sourav Mukhopadhyay

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Lecture 29: Two-Dimensional EOF, by Somnath Bhattacharyya

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Lecture 3 : Condition of Integrability, by Hari Shankar Mahato

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Lecture 3 : Introduction III, by Prof.Inder Kumar Rana

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Lecture 3 : Motivation for Krulls Dimension, by Dilip P. Patil

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Lecture 3 : Polynomials and Basic Properties, by Dilip P. Patil

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Lecture 3 : Shifting Properties of Laplace Transform, by A. Goswami

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Lecture 3-Python: Numpy Arrays, by Mahendra Verma

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Lecture 3: Basic Concepts of Point Estimations-I, by Somesh Kumar

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Lecture 3: Introduction to Options, by N. Selvaraju

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Lecture 3: Price Yield Curve and Term Structure of Interest Rates, by N. Selvaraju

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Lecture 3: Reduced Forms of Navier-Stokes Equations and Boundary Conditions, by Somnath Bhattacharyya

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Lecture 30 : Data Frames, by Shalabh

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Lecture 30 : Dimension Theorem (Continued), by Dilip P. Patil

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Lecture 30 : Double Integrals (Cont.), by Jitendra Kumar

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Lecture 30 : Isometries, Eigenvalues and Eigenvectors III, by Prof.Inder Kumar Rana

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Lecture 30 : Minimal and Characteristic Polynomials, Norms, Trace of Elements, by Dilip P. Patil

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Lecture 30 : Rank Correlation Coefficient, by Shalabh

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Lecture 30 : Surface Integral (Contd.), by Hari Shankar Mahato

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Lecture 30 : UMVU Estimation, Ancillarity-II, by Somesh Kumar

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Lecture 30: EOF near Heterogeneous Surface Potential, by Somnath Bhattacharyya

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Lecture 30: Linear Space, by Prof.Sourav Mukhopadhyay

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Lecture 30: Linearity Property and Shifting Properties of Fourier Transform, by A. Goswami

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Lecture 30: Multivariable Stochastic Calculus, Stochastic Differential Equations, by N. Selvaraju

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Lecture 31 : Consequences of Dimension Theorem, by Dilip P. Patil

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Lecture 31 : Data Frames (Continued), by Shalabh

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Lecture 31 : Diagonalization and Real Symmetric Matrices I, by Prof.Inder Kumar Rana

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Lecture 31 : Measures of Association for Discrete and Counting Variables (Part-1), by Shalabh

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Lecture 31 : Primitive Element Theorem for Galois Extension, by Dilip P. Patil

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Lecture 31: Change of Scale and Modulation Properties of Fourier Transform, by A. Goswami

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Lecture 31: Electroosmosis in Hydrophobic Surface, by Somnath Bhattacharyya

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Lecture 31: Integral Calculus -Double Integrals in Polar Form, by Jitendra Kumar

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Lecture 31: Rank of a Matrix, by Prof.Sourav Mukhopadhyay

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Lecture 31: Testing of Hypotheses : Basic Concepts-I, by Somesh Kumar

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Lecture 31: Volume Integral, Gauss Divergence Theorem, by Hari Shankar Mahato

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Lecture 32 : Data Frames (Continued), by Shalabh

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