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
Module NameDownloadDescriptionDownload Size
Module 1: Introduction to MATLABtutorialProblem1.2Problems73 kb
Module 1: Introduction to MATLABSolvedProblems1solvedProblems1100 kb
Module 1: Introduction to MATLABAssignment1assignment1 Questions140 kb
Module 2: Errors and Approximationsassignment2assignment2 questions123 kb
Module 3: Numerical Differentiation and Integrationassignment3assignment3 questions112 kb
Module 4: Linear Equationsassignment4assignment4 questions113 kb
Module 5: Solving Nonlinear Equationsassignment5assignment5 questions141 kb
Module 6: Regression and Interpolationassignment6assignment6 questions134 kb
Module 7: Ordinary Differential Equations (single variable)assignment7assignment7 questions126 kb
Module 8: ODE-IVP - Practical Aspectsassignment8assignment8 questions115 kb
Module 8: ODE-IVP - Practical Aspectsassignment_applicationsSelected questions from all assignments167 kb


New Assignments
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noc19_ge10_Assignment2noc19_ge10_Assignment2
noc19_ge10_Assignment3noc19_ge10_Assignment3
noc19_ge10_Assignment4noc19_ge10_Assignment4
noc19_ge10_Assignment5noc19_ge10_Assignment5
noc19_ge10_Assignment6noc19_ge10_Assignment6
noc19_ge10_Assignment7noc19_ge10_Assignment7
noc19_ge10_Assignment8noc19_ge10_Assignment8
noc19_ge10_Assignment9noc19_ge10_Assignment9
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 Transcript Download
1Course IntroductionDownloadDownload
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2Lecture 1.1: Basics of Programming using MATLABDownloadDownload
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3Lec 1.2: Array Operations in MATLABDownloadDownload
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4Lec 1.3: Loops and Execution ControlDownloadDownload
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5Tutorial: Using ArraysDownloadDownload
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6Lec 1.4: MATLAB Files -- Scripts and FunctionsDownloadDownload
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7Lec 1.5: Plotting and OutputDownloadDownload
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8How to submit MATLAB AssignmentDownloadDownload
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9Lec 2.1: Errors in Numerical ComputationDownloadDownload
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10Lec 2.2: Truncation Errors and Taylors SeriesDownloadDownload
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11Lec 2.3: Round-Off Errors; and Iterative MethodsDownloadDownload
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12Lec 2.4: Step-wise Methods and Error PropagationDownloadDownload
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13How to get MATLAB Online access (for all enrolled students of this course)DownloadDownload
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14Lec 3.1: Differentiation in Single VariableDownloadDownload
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15Lec 3.2: Higher Order Differentiation FormulaeDownloadDownload
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16Lec 3.3: Partial Differentials (Bonus)DownloadDownload
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17Lec 3.4: Numerical IntegrationDownloadDownload
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18Lec 3.5: Multiple Applications of Integration FormulaeDownloadDownload
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19Lec 3.6: In-Build MATLAB Integration FunctionsDownloadDownload
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20Lec 4.1: Basics of Linear AlgebraDownloadDownload
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21Lec 4.2: Gauss Elimination and Back-SubstitutionDownloadDownload
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22Lec 4.3: LU Decomposition and Partial PivotingDownloadDownload
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23Lec 4.4: Gauss Siedel MethodDownloadDownload
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24Lec 4.4 (Tutorial)DownloadDownload
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25Lec 4.5: Tri-Diagonal Matrix AlgorithmDownloadDownload
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26Lec 5.1: Nonlinear Equations in Single VariableDownloadDownload
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27Lec 5.2: Using MATLAB command fzeroDownloadDownload
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28Lec 5.3: Fixed Point Iteration in Single VariableDownloadDownload
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29Lec 5.4: Newton-Raphson (single variable)DownloadDownload
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30Lec 5.5: Using MATLAB command fsolve (multi-variable)DownloadDownload
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31Lec 5.6: Newton-Raphson (multi Variable)DownloadDownload
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32Lec 6.1: IntroductionDownloadDownload
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33Lec 6.2: Linear Least Squares RegressionDownloadDownload
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34Lec 6.3: Nonlinear and Functional RegressionDownloadDownload
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35Lec 6.4: Interpolation Functions in MATLABDownloadDownload
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36Lecture 7.1: Introduction and Euler\'s MethodDownloadDownload
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37Lecture 7.2: Runge-Kutta (RK-2) methodDownloadDownload
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38Lecture 7.3: MATLAB ode45 algorithmDownloadDownload
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39Lecture 7.4: Higher order Runge-Kutta MethodsDownloadDownload
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40Lecture 7.5: Error AnalysisDownloadDownload
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41Lecture 8.1: Multi-Variable ODEDownloadDownload
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42Lecture 8.2: Stiff Systems & Solution using ode15sDownloadDownload
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43Lecture 8.3: Method of Lines for transient PDEsDownloadDownload
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44Lecture 8.4: A Final ExampleDownloadDownload
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45Tutorial: How to do linear and nonlinear regressionDownloadDownload
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