Mathematics in India - From Vedic Period to Modern Times
111101080
Formal Languages and Automata Theory
111103016
Calculus of Variations and Integral Equations
111104025
Probability Theory and Applications
111104079
Numerical methods of Ordinary and Partial Differential Equations
111105038
An Introduction to Riemann Surfaces and Algebraic Curves
111106044
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
NOC:Applied Multivariate Statistical Modeling
111105091
NOC:Probability and Stochastics for finance
111104089
Dynamic Data Assimilation: An Introduction
111106082
NOC:Partial Differential Equations (PDE) for Engineers: Solution by Separation of Variables
111105093
NOC:Differential Calculus in Several Variables
111104092
NOC:Introduction to Commutative Algebra
111106098
NOC:Linear Regression Analysis and Forecasting
111104098
NOC:Mathematical Methods and its Applications
111107098
NOC:Introductory Course in Real Analysis
111105098
NOC:Modeling Transport Phenomena of Microparticles
111105099
NOC:Differential Equations for Engineers
111106100
NOC:Integral Equations, Calculus of Variations and its Applications
111107103
NOC:Constrained and Unconstrained Optimization
111105100
NOC:Numerical Methods: Finite Difference Approach
111107107
NOC:Calculus for Economics, Commerce and Management
111101109
NOC:Introduction to Probability Theory and Stochastic Processes
111102111
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:Descriptive Statistics with R Software
111104120
NOC:Transform Calculus and its applications in Differential Equations
111105123
NOC:Advanced Engineering Mathematics
111107119
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:Calculus of Several Real Variables
111104125
NOC:Mathematical Methods for Boundary Value Problems
111105132
NOC:Introduction To Rings And Fields
111106131
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:Computational Number Theory and Algebra
111104138
NOC:Computational Commutative Algebra
111106138
NOC:Essential Mathematics for Machine Learning
111107137
NOC:Introduction to Algebraic Topology - Part I
111101144
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:Mathematical Methods in Physics 1
111106148
NOC:Computational Mathematics with SageMath
111106149
NOC:Introduction to Probability (with examples using R)
111106150
NOC:First Course on Partial Differential Equations-I
111108144
NOC:Introduction to Algebraic Topology - Part II
111101152
NOC:Matrix Computation and its applications
111102152
NOC:Measure Theoretic Probability 1
111104152
NOC:Mathematical Methods in Physics 2
111106152
NOC:Sobolev Spaces and Partial Differential Equations
111106154
NOC:First Course on Partial Differential Equations - II
111108152
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:An Introduction to Point-Set-Topology - Part II
111101160
NOC:Introduction to Probability Theory and Statistics
111102160
NOC:Foundations of R Software (In Hindi)
111104161
NOC:Advanced Calculus For Engineers
111105160
NOC:Approximate Reasoning using Fuzzy Set Theory
111106162
NOC:Probability-II with Examples Using R
111106163
NOC:Fourier Analysis and its Applications
111101164
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:C* Algebras and Spectral Theorem
111108164
NOC:Measure Theoretic Probability 2
111104168
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:Advanced Course on Partial Differential Equations - II
111108412
NOC:Introduction to Probability Theory and Stochastic Processes (Tamil)
111102518
NOC:Introduction to Fourier Analysis
111104519
NOC:Ordinary Differential Equations
111104521
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