Modules / Lectures
Module NameDownloadDescriptionDownload Size
Module 1: Introduction to MATLABMATLAB_IntroNotes on MATLAB Introduction245 kb
Module 1: Introduction to MATLABMATLAB_BasicsNotes on MATLAB_Basics161 kb
Module 2: Errors and ApproximationsErrorAnalysisLecture notes on ErrorAnalysis227 kb
Module 3: Numerical Differentiation and IntegrationIntegrationLecture Notes on Integration252 kb
Module 3: Numerical Differentiation and IntegrationDifferentiationLecture Notes on Differentiation252 kb
Module 4: Linear EquationsLinearEquationsLecture Notes on LinearEquations309 kb
Module 5: Solving Nonlinear EquationsNon-Linear EquationsLecture notes on Non-Linear Equations185 kb
Module 6: Regression and InterpolationRegressionLecture Notes on Regression526 kb
Module 7: Ordinary Differential Equations (single variable)Ordinary Differential EquationsLecture Notes on Ordinary Differential Equations143 kb
Module 8: ODE-IVP - Practical AspectsODE-IVPLecture Notes on ODE-IVP189 kb


New Assignments
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noc20_ge05_assigment_1noc20_ge05_assigment_1
noc20_ge05_assigment_2noc20_ge05_assigment_2
noc20_ge05_assigment_3noc20_ge05_assigment_3
noc20_ge05_assigment_4noc20_ge05_assigment_4
noc20_ge05_assigment_5noc20_ge05_assigment_5
noc20_ge05_assigment_6noc20_ge05_assigment_6
noc20_ge05_assigment_7noc20_ge05_assigment_7
noc20_ge05_assigment_8noc20_ge05_assigment_8
Module NameDownloadDescriptionDownload Size
Module 1: Introduction to MATLABpracticeProblems1.pdfProblems for Practise78 kb
Module NameDownloadDescriptionDownload Size
Module 1: Introduction to MATLABFinalExam_PatternExam Pattern114 kb
Module 1: Introduction to MATLABschedulesschedules135 kb


Sl.No Chapter Name MP4 Download
1Course IntroductionDownload
2Lecture 1.1: Basics of Programming using MATLABDownload
3Lec 1.2: Array Operations in MATLABDownload
4Lec 1.3: Loops and Execution ControlDownload
5Tutorial: Using ArraysDownload
6Lec 1.4: MATLAB Files -- Scripts and FunctionsDownload
7Lec 1.5: Plotting and OutputDownload
8How to submit MATLAB AssignmentDownload
9Lec 2.1: Errors in Numerical ComputationDownload
10Lec 2.2: Truncation Errors and Taylors SeriesDownload
11Lec 2.3: Round-Off Errors; and Iterative MethodsDownload
12Lec 2.4: Step-wise Methods and Error PropagationDownload
13How to get MATLAB Online access (for all enrolled students of this course)Download
14Lec 3.1: Differentiation in Single VariableDownload
15Lec 3.2: Higher Order Differentiation FormulaeDownload
16Lec 3.3: Partial Differentials (Bonus)Download
17Lec 3.4: Numerical IntegrationDownload
18Lec 3.5: Multiple Applications of Integration FormulaeDownload
19Lec 3.6: In-Build MATLAB Integration FunctionsDownload
20Lec 4.1: Basics of Linear AlgebraDownload
21Lec 4.2: Gauss Elimination and Back-SubstitutionDownload
22Lec 4.3: LU Decomposition and Partial PivotingDownload
23Lec 4.4: Gauss Siedel MethodDownload
24Lec 4.4 (Tutorial)Download
25Lec 4.5: Tri-Diagonal Matrix AlgorithmDownload
26Lec 5.1: Nonlinear Equations in Single VariableDownload
27Lec 5.2: Using MATLAB command fzeroDownload
28Lec 5.3: Fixed Point Iteration in Single VariableDownload
29Lec 5.4: Newton-Raphson (single variable)Download
30Lec 5.5: Using MATLAB command fsolve (multi-variable)Download
31Lec 5.6: Newton-Raphson (multi Variable)Download
32Lec 6.1: IntroductionDownload
33Lec 6.2: Linear Least Squares RegressionDownload
34Lec 6.3: Nonlinear and Functional RegressionDownload
35Lec 6.4: Interpolation Functions in MATLABDownload
36Lecture 7.1: Introduction and Euler\'s MethodDownload
37Lecture 7.2: Runge-Kutta (RK-2) methodDownload
38Lecture 7.3: MATLAB ode45 algorithmDownload
39Lecture 7.4: Higher order Runge-Kutta MethodsDownload
40Lecture 7.5: Error AnalysisDownload
41Lecture 8.1: Multi-Variable ODEDownload
42Lecture 8.2: Stiff Systems & Solution using ode15sDownload
43Lecture 8.3: Method of Lines for transient PDEsDownload
44Lecture 8.4: A Final ExampleDownload
45Tutorial: How to do linear and nonlinear regressionDownload

Sl.No Chapter Name English
1Course IntroductionDownload
Verified
2Lecture 1.1: Basics of Programming using MATLABDownload
Verified
3Lec 1.2: Array Operations in MATLABDownload
Verified
4Lec 1.3: Loops and Execution ControlDownload
Verified
5Tutorial: Using ArraysDownload
Verified
6Lec 1.4: MATLAB Files -- Scripts and FunctionsDownload
Verified
7Lec 1.5: Plotting and OutputDownload
Verified
8How to submit MATLAB AssignmentDownload
Verified
9Lec 2.1: Errors in Numerical ComputationDownload
Verified
10Lec 2.2: Truncation Errors and Taylors SeriesDownload
Verified
11Lec 2.3: Round-Off Errors; and Iterative MethodsDownload
Verified
12Lec 2.4: Step-wise Methods and Error PropagationDownload
Verified
13How to get MATLAB Online access (for all enrolled students of this course)Download
Verified
14Lec 3.1: Differentiation in Single VariableDownload
Verified
15Lec 3.2: Higher Order Differentiation FormulaeDownload
Verified
16Lec 3.3: Partial Differentials (Bonus)Download
Verified
17Lec 3.4: Numerical IntegrationDownload
Verified
18Lec 3.5: Multiple Applications of Integration FormulaeDownload
Verified
19Lec 3.6: In-Build MATLAB Integration FunctionsDownload
Verified
20Lec 4.1: Basics of Linear AlgebraDownload
Verified
21Lec 4.2: Gauss Elimination and Back-SubstitutionDownload
Verified
22Lec 4.3: LU Decomposition and Partial PivotingDownload
Verified
23Lec 4.4: Gauss Siedel MethodDownload
Verified
24Lec 4.4 (Tutorial)Download
Verified
25Lec 4.5: Tri-Diagonal Matrix AlgorithmDownload
Verified
26Lec 5.1: Nonlinear Equations in Single VariableDownload
Verified
27Lec 5.2: Using MATLAB command fzeroDownload
Verified
28Lec 5.3: Fixed Point Iteration in Single VariableDownload
Verified
29Lec 5.4: Newton-Raphson (single variable)Download
Verified
30Lec 5.5: Using MATLAB command fsolve (multi-variable)Download
Verified
31Lec 5.6: Newton-Raphson (multi Variable)Download
Verified
32Lec 6.1: IntroductionDownload
Verified
33Lec 6.2: Linear Least Squares RegressionDownload
Verified
34Lec 6.3: Nonlinear and Functional RegressionDownload
Verified
35Lec 6.4: Interpolation Functions in MATLABDownload
Verified
36Lecture 7.1: Introduction and Euler\'s MethodDownload
Verified
37Lecture 7.2: Runge-Kutta (RK-2) methodDownload
Verified
38Lecture 7.3: MATLAB ode45 algorithmDownload
Verified
39Lecture 7.4: Higher order Runge-Kutta MethodsDownload
Verified
40Lecture 7.5: Error AnalysisDownload
Verified
41Lecture 8.1: Multi-Variable ODEDownload
Verified
42Lecture 8.2: Stiff Systems & Solution using ode15sDownload
Verified
43Lecture 8.3: Method of Lines for transient PDEsDownload
Verified
44Lecture 8.4: A Final ExampleDownload
Verified
45Tutorial: How to do linear and nonlinear regressionDownload
Verified
Sl.No Chapter Name Bengali
1Course IntroductionDownload
2Lecture 1.1: Basics of Programming using MATLABDownload
3Lec 1.2: Array Operations in MATLABDownload
4Lec 1.3: Loops and Execution ControlDownload
5Tutorial: Using ArraysDownload
6Lec 1.4: MATLAB Files -- Scripts and FunctionsDownload
7Lec 1.5: Plotting and OutputDownload
8How to submit MATLAB AssignmentDownload
9Lec 2.1: Errors in Numerical ComputationDownload
10Lec 2.2: Truncation Errors and Taylors SeriesDownload
11Lec 2.3: Round-Off Errors; and Iterative MethodsDownload
12Lec 2.4: Step-wise Methods and Error PropagationDownload
13How to get MATLAB Online access (for all enrolled students of this course)Download
14Lec 3.1: Differentiation in Single VariableDownload
15Lec 3.2: Higher Order Differentiation FormulaeDownload
16Lec 3.3: Partial Differentials (Bonus)Download
17Lec 3.4: Numerical IntegrationDownload
18Lec 3.5: Multiple Applications of Integration FormulaeDownload
19Lec 3.6: In-Build MATLAB Integration FunctionsDownload
20Lec 4.1: Basics of Linear AlgebraDownload
21Lec 4.2: Gauss Elimination and Back-SubstitutionDownload
22Lec 4.3: LU Decomposition and Partial PivotingDownload
23Lec 4.4: Gauss Siedel MethodDownload
24Lec 4.4 (Tutorial)Download
25Lec 4.5: Tri-Diagonal Matrix AlgorithmDownload
26Lec 5.1: Nonlinear Equations in Single VariableDownload
27Lec 5.2: Using MATLAB command fzeroDownload
28Lec 5.3: Fixed Point Iteration in Single VariableDownload
29Lec 5.4: Newton-Raphson (single variable)Download
30Lec 5.5: Using MATLAB command fsolve (multi-variable)Download
31Lec 5.6: Newton-Raphson (multi Variable)Download
32Lec 6.1: IntroductionDownload
33Lec 6.2: Linear Least Squares RegressionDownload
34Lec 6.3: Nonlinear and Functional RegressionDownload
35Lec 6.4: Interpolation Functions in MATLABDownload
36Lecture 7.1: Introduction and Euler\'s MethodDownload
37Lecture 7.2: Runge-Kutta (RK-2) methodDownload
38Lecture 7.3: MATLAB ode45 algorithmDownload
39Lecture 7.4: Higher order Runge-Kutta MethodsDownload
40Lecture 7.5: Error AnalysisDownload
41Lecture 8.1: Multi-Variable ODEDownload
42Lecture 8.2: Stiff Systems & Solution using ode15sDownload
43Lecture 8.3: Method of Lines for transient PDEsDownload
44Lecture 8.4: A Final ExampleDownload
45Tutorial: How to do linear and nonlinear regressionDownload
Sl.No Chapter Name Gujarati
1Course IntroductionDownload
2Lecture 1.1: Basics of Programming using MATLABDownload
3Lec 1.2: Array Operations in MATLABDownload
4Lec 1.3: Loops and Execution ControlDownload
5Tutorial: Using ArraysDownload
6Lec 1.4: MATLAB Files -- Scripts and FunctionsDownload
7Lec 1.5: Plotting and OutputDownload
8How to submit MATLAB AssignmentDownload
9Lec 2.1: Errors in Numerical ComputationDownload
10Lec 2.2: Truncation Errors and Taylors SeriesDownload
11Lec 2.3: Round-Off Errors; and Iterative MethodsDownload
12Lec 2.4: Step-wise Methods and Error PropagationDownload
13How to get MATLAB Online access (for all enrolled students of this course)Download
14Lec 3.1: Differentiation in Single VariableDownload
15Lec 3.2: Higher Order Differentiation FormulaeDownload
16Lec 3.3: Partial Differentials (Bonus)Download
17Lec 3.4: Numerical IntegrationDownload
18Lec 3.5: Multiple Applications of Integration FormulaeDownload
19Lec 3.6: In-Build MATLAB Integration FunctionsDownload
20Lec 4.1: Basics of Linear AlgebraDownload
21Lec 4.2: Gauss Elimination and Back-SubstitutionDownload
22Lec 4.3: LU Decomposition and Partial PivotingDownload
23Lec 4.4: Gauss Siedel MethodDownload
24Lec 4.4 (Tutorial)Download
25Lec 4.5: Tri-Diagonal Matrix AlgorithmDownload
26Lec 5.1: Nonlinear Equations in Single VariableDownload
27Lec 5.2: Using MATLAB command fzeroDownload
28Lec 5.3: Fixed Point Iteration in Single VariableDownload
29Lec 5.4: Newton-Raphson (single variable)Download
30Lec 5.5: Using MATLAB command fsolve (multi-variable)Download
31Lec 5.6: Newton-Raphson (multi Variable)Download
32Lec 6.1: IntroductionDownload
33Lec 6.2: Linear Least Squares RegressionDownload
34Lec 6.3: Nonlinear and Functional RegressionDownload
35Lec 6.4: Interpolation Functions in MATLABDownload
36Lecture 7.1: Introduction and Euler\'s MethodDownload
37Lecture 7.2: Runge-Kutta (RK-2) methodDownload
38Lecture 7.3: MATLAB ode45 algorithmDownload
39Lecture 7.4: Higher order Runge-Kutta MethodsDownload
40Lecture 7.5: Error AnalysisDownload
41Lecture 8.1: Multi-Variable ODEDownload
42Lecture 8.2: Stiff Systems & Solution using ode15sDownload
43Lecture 8.3: Method of Lines for transient PDEsDownload
44Lecture 8.4: A Final ExampleDownload
45Tutorial: How to do linear and nonlinear regressionDownload
Sl.No Chapter Name Hindi
1Course IntroductionDownload
2Lecture 1.1: Basics of Programming using MATLABDownload
3Lec 1.2: Array Operations in MATLABDownload
4Lec 1.3: Loops and Execution ControlDownload
5Tutorial: Using ArraysDownload
6Lec 1.4: MATLAB Files -- Scripts and FunctionsDownload
7Lec 1.5: Plotting and OutputDownload
8How to submit MATLAB AssignmentDownload
9Lec 2.1: Errors in Numerical ComputationDownload
10Lec 2.2: Truncation Errors and Taylors SeriesDownload
11Lec 2.3: Round-Off Errors; and Iterative MethodsDownload
12Lec 2.4: Step-wise Methods and Error PropagationDownload
13How to get MATLAB Online access (for all enrolled students of this course)Download
14Lec 3.1: Differentiation in Single VariableDownload
15Lec 3.2: Higher Order Differentiation FormulaeDownload
16Lec 3.3: Partial Differentials (Bonus)Download
17Lec 3.4: Numerical IntegrationDownload
18Lec 3.5: Multiple Applications of Integration FormulaeDownload
19Lec 3.6: In-Build MATLAB Integration FunctionsDownload
20Lec 4.1: Basics of Linear AlgebraDownload
21Lec 4.2: Gauss Elimination and Back-SubstitutionDownload
22Lec 4.3: LU Decomposition and Partial PivotingDownload
23Lec 4.4: Gauss Siedel MethodDownload
24Lec 4.4 (Tutorial)Download
25Lec 4.5: Tri-Diagonal Matrix AlgorithmDownload
26Lec 5.1: Nonlinear Equations in Single VariableDownload
27Lec 5.2: Using MATLAB command fzeroDownload
28Lec 5.3: Fixed Point Iteration in Single VariableDownload
29Lec 5.4: Newton-Raphson (single variable)Download
30Lec 5.5: Using MATLAB command fsolve (multi-variable)Download
31Lec 5.6: Newton-Raphson (multi Variable)Download
32Lec 6.1: IntroductionDownload
33Lec 6.2: Linear Least Squares RegressionDownload
34Lec 6.3: Nonlinear and Functional RegressionDownload
35Lec 6.4: Interpolation Functions in MATLABDownload
36Lecture 7.1: Introduction and Euler\'s MethodDownload
37Lecture 7.2: Runge-Kutta (RK-2) methodDownload
38Lecture 7.3: MATLAB ode45 algorithmDownload
39Lecture 7.4: Higher order Runge-Kutta MethodsDownload
40Lecture 7.5: Error AnalysisDownload
41Lecture 8.1: Multi-Variable ODEDownload
42Lecture 8.2: Stiff Systems & Solution using ode15sDownload
43Lecture 8.3: Method of Lines for transient PDEsDownload
44Lecture 8.4: A Final ExampleDownload
45Tutorial: How to do linear and nonlinear regressionDownload
Sl.No Chapter Name Kannada
1Course IntroductionDownload
2Lecture 1.1: Basics of Programming using MATLABDownload
3Lec 1.2: Array Operations in MATLABDownload
4Lec 1.3: Loops and Execution ControlDownload
5Tutorial: Using ArraysDownload
6Lec 1.4: MATLAB Files -- Scripts and FunctionsDownload
7Lec 1.5: Plotting and OutputDownload
8How to submit MATLAB AssignmentDownload
9Lec 2.1: Errors in Numerical ComputationDownload
10Lec 2.2: Truncation Errors and Taylors SeriesDownload
11Lec 2.3: Round-Off Errors; and Iterative MethodsDownload
12Lec 2.4: Step-wise Methods and Error PropagationDownload
13How to get MATLAB Online access (for all enrolled students of this course)Download
14Lec 3.1: Differentiation in Single VariableDownload
15Lec 3.2: Higher Order Differentiation FormulaeDownload
16Lec 3.3: Partial Differentials (Bonus)Download
17Lec 3.4: Numerical IntegrationDownload
18Lec 3.5: Multiple Applications of Integration FormulaeDownload
19Lec 3.6: In-Build MATLAB Integration FunctionsDownload
20Lec 4.1: Basics of Linear AlgebraDownload
21Lec 4.2: Gauss Elimination and Back-SubstitutionDownload
22Lec 4.3: LU Decomposition and Partial PivotingDownload
23Lec 4.4: Gauss Siedel MethodDownload
24Lec 4.4 (Tutorial)Download
25Lec 4.5: Tri-Diagonal Matrix AlgorithmDownload
26Lec 5.1: Nonlinear Equations in Single VariableDownload
27Lec 5.2: Using MATLAB command fzeroDownload
28Lec 5.3: Fixed Point Iteration in Single VariableDownload
29Lec 5.4: Newton-Raphson (single variable)Download
30Lec 5.5: Using MATLAB command fsolve (multi-variable)Download
31Lec 5.6: Newton-Raphson (multi Variable)Download
32Lec 6.1: IntroductionDownload
33Lec 6.2: Linear Least Squares RegressionDownload
34Lec 6.3: Nonlinear and Functional RegressionDownload
35Lec 6.4: Interpolation Functions in MATLABDownload
36Lecture 7.1: Introduction and Euler\'s MethodDownload
37Lecture 7.2: Runge-Kutta (RK-2) methodDownload
38Lecture 7.3: MATLAB ode45 algorithmDownload
39Lecture 7.4: Higher order Runge-Kutta MethodsDownload
40Lecture 7.5: Error AnalysisDownload
41Lecture 8.1: Multi-Variable ODEDownload
42Lecture 8.2: Stiff Systems & Solution using ode15sDownload
43Lecture 8.3: Method of Lines for transient PDEsDownload
44Lecture 8.4: A Final ExampleDownload
45Tutorial: How to do linear and nonlinear regressionDownload
Sl.No Chapter Name Malayalam
1Course IntroductionDownload
2Lecture 1.1: Basics of Programming using MATLABDownload
3Lec 1.2: Array Operations in MATLABDownload
4Lec 1.3: Loops and Execution ControlDownload
5Tutorial: Using ArraysDownload
6Lec 1.4: MATLAB Files -- Scripts and FunctionsDownload
7Lec 1.5: Plotting and OutputDownload
8How to submit MATLAB AssignmentDownload
9Lec 2.1: Errors in Numerical ComputationDownload
10Lec 2.2: Truncation Errors and Taylors SeriesDownload
11Lec 2.3: Round-Off Errors; and Iterative MethodsDownload
12Lec 2.4: Step-wise Methods and Error PropagationDownload
13How to get MATLAB Online access (for all enrolled students of this course)Download
14Lec 3.1: Differentiation in Single VariableDownload
15Lec 3.2: Higher Order Differentiation FormulaeDownload
16Lec 3.3: Partial Differentials (Bonus)Download
17Lec 3.4: Numerical IntegrationDownload
18Lec 3.5: Multiple Applications of Integration FormulaeDownload
19Lec 3.6: In-Build MATLAB Integration FunctionsDownload
20Lec 4.1: Basics of Linear AlgebraDownload
21Lec 4.2: Gauss Elimination and Back-SubstitutionDownload
22Lec 4.3: LU Decomposition and Partial PivotingDownload
23Lec 4.4: Gauss Siedel MethodDownload
24Lec 4.4 (Tutorial)Download
25Lec 4.5: Tri-Diagonal Matrix AlgorithmDownload
26Lec 5.1: Nonlinear Equations in Single VariableDownload
27Lec 5.2: Using MATLAB command fzeroDownload
28Lec 5.3: Fixed Point Iteration in Single VariableDownload
29Lec 5.4: Newton-Raphson (single variable)Download
30Lec 5.5: Using MATLAB command fsolve (multi-variable)Download
31Lec 5.6: Newton-Raphson (multi Variable)Download
32Lec 6.1: IntroductionDownload
33Lec 6.2: Linear Least Squares RegressionDownload
34Lec 6.3: Nonlinear and Functional RegressionDownload
35Lec 6.4: Interpolation Functions in MATLABDownload
36Lecture 7.1: Introduction and Euler\'s MethodDownload
37Lecture 7.2: Runge-Kutta (RK-2) methodDownload
38Lecture 7.3: MATLAB ode45 algorithmDownload
39Lecture 7.4: Higher order Runge-Kutta MethodsDownload
40Lecture 7.5: Error AnalysisDownload
41Lecture 8.1: Multi-Variable ODEDownload
42Lecture 8.2: Stiff Systems & Solution using ode15sDownload
43Lecture 8.3: Method of Lines for transient PDEsDownload
44Lecture 8.4: A Final ExampleDownload
45Tutorial: How to do linear and nonlinear regressionDownload


Sl.No Language Book link
1EnglishNot Available
2BengaliNot Available
3GujaratiDownload
4HindiDownload
5KannadaDownload
6MalayalamNot Available
7MarathiNot Available
8TamilNot Available
9TeluguNot Available