Search by NPTEL Course ID, Course Name, Lecture Title, Coordinator

MATHEMATICS

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Elementary Numerical Analysis


111101003

Measure and Integration


111101005

Mathematics in India - From Vedic Period to Modern Times


111101080

Stochastic Processes


111102014

Formal Languages and Automata Theory


111103016

Complex Analysis


111103070

Applied Multivariate Analysis


111104024

Calculus of Variations and Integral Equations


111104025

Linear programming and Extensions


111104027

Convex Optimization


111104068

Foundations of Optimization


111104071

Probability Theory and Applications


111104079

Advanced Engineering Mathematics


111105035

Functional Analysis


111105037

Numerical methods of Ordinary and Partial Differential Equations


111105038

Optimization


111105039

Probability and Statistics


111105041

Regression Analysis


111105042

Statistical Inference


111105043

A Basic Course in Real Analysis


111105069

An Introduction to Riemann Surfaces and Algebraic Curves


111106044

Linear Algebra


111106051

Mathematical Logic


111106052

Real Analysis


111106053

NOC:An invitation to Mathematics


111106083

Discrete Mathematics


111107058

Advanced Matrix Theory and Linear Algebra for Engineers


111108066

Ordinary Differential Equations and Applications


111108081

NOC:Basic Calculus for Engineers, Scientists and Economists


111104085

Statistical Methods for Scientists and Engineers


111105077

Advanced Complex Analysis - Part 1


111106084

NOC:Discrete Mathematics


111106086

NOC:Applied Multivariate Statistical Modeling


111105091

NOC:Probability and Statistics


111105090

NOC:Probability and Stochastics for finance


111104089

Dynamic Data Assimilation: An Introduction


111106082

Advanced Complex Analysis - Part 2


111106094

NOC:Partial Differential Equations (PDE) for Engineers: Solution by Separation of Variables


111105093

NOC:Differential Calculus in Several Variables


111104092

NOC:Stochastic Processes - 1


111102096

NOC:Curves and Surfaces


111104095

Basic Algebraic Geometry


111106097

NOC:Introduction to Commutative Algebra


111106098

NOC:Linear Algebra


111108098

NOC:Linear Regression Analysis and Forecasting


111104098

NOC:Stochastic Processes


111102098

NOC:Mathematical Methods and its Applications


111107098

NOC:Introductory Course in Real Analysis


111105098

NOC:Modeling Transport Phenomena of Microparticles


111105099

NOC:Nonlinear Programming


111107104

NOC:Numerical Methods


111107105

NOC:Introduction to R Software


111104100

NOC:Measure Theory


111101100

NOC:Differential Equations for Engineers


111106100

NOC:Integral Equations, Calculus of Variations and its Applications


111107103

NOC:Numerical Analysis


111106101

NOC:Constrained and Unconstrained Optimization


111105100

NOC:Graph Theory


111106102

NOC:Numerical Methods: Finite Difference Approach


111107107

NOC:Calculus for Economics, Commerce and Management


111101109

NOC:Multivariable Calculus


111107108

NOC:Numerical Linear Algebra


111107106

NOC:Chaotic Dynamical Systems


111102110

NOC:Introduction to Probability Theory and Stochastic Processes


111102111

NOC:Statistical Inference


111102112

NOC:Matrix Solver


111105111

NOC:Introduction to Abstract and Linear Algebra


111105112

NOC:Transform Techniques for Engineers


111106111

NOC:Introduction to Probability and Statistics


111106112

NOC:Introduction to Abstract Group Theory


111106113

NOC:Groups : Motion, Symmetry and Puzzles


111106114

NOC:Ordinary and Partial Differential Equations and Applications


111107111

NOC:Matrix Analysis with Applications


111107112

NOC:Mathematical Modelling: Analysis and Applications


111107113

NOC:Basic Linear Algebra


111101115

NOC:Commutative Algebra


111101116

NOC:Galois Theory


111101117

NOC:Descriptive Statistics with R Software


111104120

NOC:Engineering Mathematics-I


111105121

NOC:Integral and Vector Calculus


111105122

NOC:Transform Calculus and its applications in Differential Equations


111105123

NOC:Dynamical System and Control


111107118

NOC:Advanced Engineering Mathematics


111107119

NOC:Statistical Inference (2019)


111105124

NOC:Integral Transforms And Their Applications


111102129

NOC:Introduction to Fuzzy Set Theory, Arithmetic and Logic


111102130

Introduction to Methods of Applied Mathematics


111102133

NOC:Mathematical Finance


111103126

NOC:Calculus of Several Real Variables


111104125

NOC:Mathematical Methods for Boundary Value Problems


111105132

NOC:Introduction To Rings And Fields


111106131

NOC:Higher Engineering Mathematics


111107127

NOC:Operations Research


111107128

NOC:Basic Real Analysis


111101134

NOC:Advanced Probability Theory


111102134

NOC:Engineering Mathematics-II


111105134

NOC:Probabilistic Methods in PDE


111106134

NOC:Linear Algebra (Prof. Pranav Haridas)


111106135

NOC:An Introduction to Smooth Manifolds


111108134

NOC:Measure Theory (Prof. E. K. Narayanan)


111108135

NOC:Introduction to Algebraic Geometry and Commutative Algebra


111108136

NOC:A Basic Course in Number Theory


111101137

NOC:Scientific Computing using Matlab


111102137

NOC:Non-parametric Statistical Inference


111102143

NOC:Mathematical Portfolio Theory


111103137

NOC:Linear Algebra


111104137

NOC:Computational Number Theory and Algebra


111104138

NOC:Algebra - I


111106137

NOC:Computational Commutative Algebra


111106138

NOC:Laplace Transform


111106139

NOC:Measure Theory


111106140

NOC:Complex Analysis


111106141

NOC:Real Analysis - I


111106142

NOC:Essential Mathematics for Machine Learning


111107137

NOC:Introduction to Algebraic Topology - Part I


111101144

NOC:Basic Calculus 1 and 2


111104144

NOC:Advanced Partial Differential Equations


111104145

NOC:Essentials of Data Science With R Software 1: Probability and Statistical Inference


111104146

NOC:Essentials of Data Science With R Software 2: Sampling Theory and Linear Regression Analysis


111104147

NOC:Variational Calculus and its applications in Control Theory and Nanomechanics


111106144

NOC:Introduction to Galois Theory


111106145

NOC:Basic Calculus 1


111106146

NOC:Functional Analysis


111106147

NOC:Mathematical Methods in Physics 1


111106148

NOC:Computational Mathematics with SageMath


111106149

NOC:Introduction to Probability (with examples using R)


111106150

NOC:Algebra-II


111106151

NOC:First Course on Partial Differential Equations-I


111108144

NOC:Introduction to Algebraic Topology - Part II


111101152

NOC:Partial Differential Equations


111101153

NOC:Matrix Computation and its applications


111102152

NOC:Measure Theoretic Probability 1


111104152

NOC:Mathematical Methods in Physics 2


111106152

NOC:Real Analysis - II


111106153

NOC:Sobolev Spaces and Partial Differential Equations


111106154

NOC:Combinatorics


111106155

NOC:Our Mathematical Senses


111106156

NOC:First Course on Partial Differential Equations - II


111108152

Matrix Theory


111108157

NOC:An Introduction to Point-Set-Topology - Part I


111101158

NOC:Discrete-time Markov Chains and Poission Processes


111103158

NOC:Introduction to Queueing Theory


111103159

NOC:Algebraic Combinatorics


111106158

NOC:An Invitation to Topology


111106159

NOC:An Introduction to Point-Set-Topology - Part II


111101160

NOC:Introduction to Probability Theory and Statistics


111102160

NOC:Foundations of R Software


111104160

NOC:Foundations of R Software (In Hindi)


111104161

NOC:Advanced Calculus For Engineers


111105160

NOC:Rings and Modules


111105161

NOC:Operator Theory


111106160

NOC:Measure and Integration


111106161

NOC:Approximate Reasoning using Fuzzy Set Theory


111106162

NOC:Probability-II with Examples Using R


111106163

NOC:Fourier Analysis and its Applications


111101164

NOC:Numerical Analysis (2023)


111101165

NOC:An Introduction to Hyperbolic Geometry


111104164

NOC:A Primer to Mathematical Optimization


111104165

NOC:Advanced Computational Techniques


111105164

NOC:Applied Linear Algebra in AI and ML


111105165

NOC:Advanced Engineering Mathematics


111105167

NOC:Predictive Analytics - Regression and Classification


111106164

NOC:Advanced Linear Algebra


111107164

NOC:C* Algebras and Spectral Theorem


111108164

NOC:Point Set Topology


111101168

NOC:Measure Theoretic Probability 2


111104168

NOC:Essentials of Topology


111105169

NOC:Introduction to Algebraic Geometry


111106168

NOC:Advanced Partial Differential Equations (Part I: Distributions and Sobolev Spaces)


111108168

NOC:Set Theory and Mathematical Logic


111104416

NOC:Numerical Linear Algebra and Application


111105417

NOC:Introduction to Statistics


111106415

NOC:Advanced Course on Partial Differential Equations - II


111108412

NOC:Introduction to Group Theory


111108413

NOC:Introduction to Lie Algebras


111108414

NOC:Introduction to Probability Theory and Stochastic Processes (Tamil)


111102518

NOC:Introduction to Fourier Analysis


111104519

NOC:Ordinary Differential Equations


111104521

NOC:Category Theory


111104524

NOC:Mathematics for Machine Learning


111105489

NOC:Advanced Theory of Ordinary Differential Equations


111105522

NOC:Probability Theory for Data Science


111106525

NOC:EXCELing with Mathematical Modeling


111107523

NOC:Representation Theory of General Linear Lie Algebra


111108520

NOC:High Performance Scientific Computing


111101611

NOC:Scientific Computing using Python (Hindi)


111102613

NOC:Multivariate Procedures with R (Hindi)


111104612

NOC:Optimization Algorithms: Theory and Software Implementation


111104644

NOC:Functional Analysis and its Applications


111105610

NOC:Soft Computing Techniques


111105614

NOC:Algebraic Number Theory


111108609





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Last updated: December 1, 2024