Math 2.0

Resources / course

Calculus for Economics,Commerce and Management MJYCE813GJ

URIm2://res/MJYCE813GJ
Kindcourse
CreatorsInder Kumar Rana (instructor)
Date2018-01-26
Scopein
Idscourse 02qyf5152:111101109

Expressions

e1: edition

Languageen
Date2018-01-26
Contents
  • part 1: Week 1
  • session 1: Lecture 1 : Introduction to the Course
  • session 2: Lecture 2 : Concept of a Set, Ways of Representing Sets
  • session 3: Lecture 3 : Venn Diagrams, Operations on Sets
  • session 4: Lecture 4 : Operations on Sets, Cardinal Number, Real Numbers
  • session 5: Lecture 5 : Real Numbers, Sequences
  • part 2: Week 2
  • session 6: Lecture 6 : Sequences, Convergent Sequences, Bounded Sequences
  • session 7: Lecture 7 : Limit Theorems, Sandwich Theorem, Monotone Sequences, Completeness of Real Numbers
  • session 8: Lecture 8 : Relations and Functions
  • session 9: Lecture 9 : Functions, Graph of a Functions, Function Formulas
  • session 10: Lecture 10 : Function Formulas, Linear Models
  • part 3: Week 3
  • session 11: Lecture 11 : Linear Models, Elasticity, Linear Functions, Nonlinear Models, Quadratic Functions
  • session 12: Lecture 12 : Quadratic Functions, Quadratic Models, Power Function, Exponential Function
  • session 13: Lecture 13 : Exponential Function, Exponential Models, Logarithmic Function
  • session 14: Lecture 14 : Limit of a Function at a Point, Continuous Functions
  • session 15: Lecture 15 : Limit of a Function at a Point
  • part 4: Week 4
  • session 16: Lecture 16 : Limit of a Function at a Point, Left and Right Limits
  • session 17: Lecture 17 : Computing Limits, Continuous Functions
  • session 18: Lecture 18 : Applications of Continuous Functions
  • session 19: Lecture 19 : Applications of Continuous Functions, Marginal of a Function
  • session 20: Lecture 20 : Rate of Change, Differentiation
  • part 5: Week 5
  • session 21: Lecture 21 : Rules of Differentiation
  • session 22: Lecture 22 : Derivatives of Some Functions, Marginal, Elasticity
  • session 23: Lecture 23 : Elasticity, Increasing and Decreasing Functions, Optimization, Mean Value Theorem
  • session 24: Lecture 24 : Mean Value Theorem, Marginal Analysis, Local Maxima and Minima
  • session 25: Lecture 25 : Local Maxima and Minima
  • part 6: Week 6
  • session 26: Lecture 26 : Local Maxima and Minima, Continuity Test, First Derivative Test, Successive Differentiation
  • session 27: Lecture 27 : Successive Differentiation, Second Derivative Test
  • session 28: Lecture 28 : Average and Marginal Product, Marginal of Revenue and Cost, Absolute Maximum and Minimum
  • session 29: Lecture 29 : Absolute Maximum and Minimum
  • session 30: Lecture 30 : Monopoly Market, Revenue and Elasticity
  • part 7: Week 7
  • session 31: Lecture 31 : Property of Marginals, Monopoly Market, Publisher v/s Author Problem
  • session 32: Lecture 32 : Convex and Concave Functions
  • session 33: Lecture 33 : Derivative Tests for Convexity, Concavity and Points of Inflection, Higher Order Derivative Conditions
  • session 34: Lecture 34 : Convex and Concave Functions, Asymptotes
  • session 35: Lecture 35 : Asymptotes, Curve Sketching
  • part 8: Week 8
  • session 36: Lecture 36 : Functions of Two Variables, Visualizing Graph, Level Curves, Contour Lines
  • session 37: Lecture 37 : Partial Derivatives and Application to Marginal Analysis
  • session 38: Lecture 38 : Marginals in Cobb-Douglas model, partial derivatives and elasticity, chain rules
  • session 39: Lecture 39 : Chain Rules, Higher Order Partial Derivatives, Local Maxima and Minima, Critical Points
  • session 40: Lecture 40 : Saddle Points, Derivative Tests, Absolute Maxima and Minima
  • session 41: Lecture 41 : Some Examples, Constrained Maxima and Minima

Catalogue records