Mathematics in India - From Vedic Period to Modern Times
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111101080
Formal Languages and Automata Theory
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111103016
Calculus of Variations and Integral Equations
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111104025
Probability Theory and Applications
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111104079
Numerical methods of Ordinary and Partial Differential Equations
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111105038
An Introduction to Riemann Surfaces and Algebraic Curves
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111106044
Advanced Matrix Theory and Linear Algebra for Engineers
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111108066
Ordinary Differential Equations and Applications
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111108081
NOC:Basic Calculus for Engineers, Scientists and Economists
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111104085
Statistical Methods for Scientists and Engineers
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111105077
NOC:Applied Multivariate Statistical Modeling
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111105091
NOC:Probability and Stochastics for finance
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111104089
Dynamic Data Assimilation: An Introduction
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111106082
NOC:Partial Differential Equations (PDE) for Engineers: Solution by Separation of Variables
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111105093
NOC:Differential Calculus in Several Variables
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111104092
NOC:Introduction to Commutative Algebra
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111106098
NOC:Linear Regression Analysis and Forecasting
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111104098
NOC:Mathematical Methods and its Applications
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111107098
NOC:Introductory Course in Real Analysis
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111105098
NOC:Modeling Transport Phenomena of Microparticles
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111105099
NOC:Differential Equations for Engineers
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111106100
NOC:Integral Equations, Calculus of Variations and its Applications
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111107103
NOC:Constrained and Unconstrained Optimization
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111105100
NOC:Numerical Methods: Finite Difference Approach
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111107107
NOC:Calculus for Economics, Commerce and Management
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111101109
NOC:Introduction to Probability Theory and Stochastic Processes
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111102111
NOC:Introduction to Abstract and Linear Algebra
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111105112
NOC:Transform Techniques for Engineers
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111106111
NOC:Introduction to Probability and Statistics
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111106112
NOC:Introduction to Abstract Group Theory
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111106113
NOC:Groups : Motion, Symmetry and Puzzles
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111106114
NOC:Ordinary and Partial Differential Equations and Applications
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111107111
NOC:Matrix Analysis with Applications
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111107112
NOC:Mathematical Modelling: Analysis and Applications
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111107113
NOC:Descriptive Statistics with R Software
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111104120
NOC:Transform Calculus and its applications in Differential Equations
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111105123
NOC:Advanced Engineering Mathematics
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111107119
NOC:Integral Transforms And Their Applications
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111102129
NOC:Introduction to Fuzzy Set Theory, Arithmetic and Logic
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111102130
Introduction to Methods of Applied Mathematics
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111102133
NOC:Calculus of Several Real Variables
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111104125
NOC:Mathematical Methods for Boundary Value Problems
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111105132
NOC:Introduction To Rings And Fields
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111106131
NOC:Linear Algebra (Prof. Pranav Haridas)
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111106135
NOC:An Introduction to Smooth Manifolds
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111108134
NOC:Measure Theory (Prof. E. K. Narayanan)
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111108135
NOC:Introduction to Algebraic Geometry and Commutative Algebra
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111108136
NOC:A Basic Course in Number Theory
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111101137
NOC:Scientific Computing using Matlab
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111102137
NOC:Non-parametric Statistical Inference
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111102143
NOC:Computational Number Theory and Algebra
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111104138
NOC:Computational Commutative Algebra
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111106138
NOC:Essential Mathematics for Machine Learning
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111107137
NOC:Introduction to Algebraic Topology - Part I
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111101144
NOC:Advanced Partial Differential Equations
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111104145
NOC:Essentials of Data Science With R Software 1: Probability and Statistical Inference
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111104146
NOC:Essentials of Data Science With R Software 2: Sampling Theory and Linear Regression Analysis
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111104147
NOC:Variational Calculus and its applications in Control Theory and Nanomechanics
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111106144
NOC:Mathematical Methods in Physics 1
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111106148
NOC:Computational Mathematics with SageMath
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111106149
NOC:Introduction to Probability (with examples using R)
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111106150
NOC:First Course on Partial Differential Equations-I
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111108144
NOC:Introduction to Algebraic Topology - Part II
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111101152
NOC:Matrix Computation and its applications
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111102152
NOC:Measure Theoretic Probability 1
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111104152
NOC:Mathematical Methods in Physics 2
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111106152
NOC:Sobolev Spaces and Partial Differential Equations
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111106154
NOC:First Course on Partial Differential Equations - II
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111108152
NOC:An Introduction to Point-Set-Topology - Part I
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111101158
NOC:Discrete-time Markov Chains and Poission Processes
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111103158
NOC:Introduction to Queueing Theory
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111103159
NOC:An Introduction to Point-Set-Topology - Part II
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111101160
NOC:Introduction to Probability Theory and Statistics
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111102160
NOC:Foundations of R Software (In Hindi)
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111104161
NOC:Advanced Calculus For Engineers
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111105160
NOC:Approximate Reasoning using Fuzzy Set Theory
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111106162
NOC:Probability-II with Examples Using R
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111106163
NOC:Fourier Analysis and its Applications
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111101164
NOC:An Introduction to Hyperbolic Geometry
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111104164
NOC:A Primer to Mathematical Optimization
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111104165
NOC:Advanced Computational Techniques
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111105164
NOC:Applied Linear Algebra in AI and ML
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111105165
NOC:Advanced Engineering Mathematics
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111105167
NOC:Predictive Analytics - Regression and Classification
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111106164
NOC:C* Algebras and Spectral Theorem
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111108164
NOC:Measure Theoretic Probability 2
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111104168
NOC:Introduction to Algebraic Geometry
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111106168
NOC:Advanced Partial Differential Equations (Part I: Distributions and Sobolev Spaces)
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111108168
NOC:Set Theory and Mathematical Logic
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111104416
NOC:Numerical Linear Algebra and Application
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111105417
NOC:Advanced Course on Partial Differential Equations - II
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111108412
NOC:Introduction to Probability Theory and Stochastic Processes (Tamil)
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111102518
NOC:Introduction to Fourier Analysis
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111104519
NOC:Ordinary Differential Equations
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111104521
NOC:Mathematics for Machine Learning
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111105489
NOC:Advanced Theory of Ordinary Differential Equations
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111105522
NOC:Probability Theory for Data Science
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111106525
NOC:EXCELing with Mathematical Modeling
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111107523
NOC:Representation Theory of General Linear Lie Algebra
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111108520