technifyed

IIT Roorkee via NPTEL

Multivariable Calculus

Overview

Mathematics course by Dr. Sanjeev Kumar, Prof. S. K. Gupta.

Syllabus 8

  1. Unit 1
    • Functions of several variables
    • Limits for multivariable functions-I
    • Limits for multivariable functions-II
    • Continuity of multivariable functions
    • Partial Derivatives-I
  2. Unit 2
    • Partial Derivatives-II
    • Differentiability-I
    • Differentiability-II
    • Chain rule-I
    • Chain rule-II
  3. Unit 3
    • Change of variables
    • Euler's theorem for homogeneous functions
    • Tangent planes and Normal lines
    • Extreme values-I
    • Extreme values-II
  4. Unit 4
    • Lagrange multipliers
    • Taylor's theorem
    • Error approximation
    • Polar-curves
    • Multiple Integrals
  5. Unit 5
    • Change Of Order Of Integration
    • Change of Variables in Multiple Integral
    • Introduction to Gamma Function
    • Introduction to Beta Function
    • Properties of Beta and Gamma Functions-I
  6. Unit 6
    • Properties of Beta and Gamma Functions-II
    • Dirichlet's Integral
    • Applications of Multiple Integrals
    • Vector Differentiation
    • Gradient of a Scalar Field and Directional Derivative
  7. Unit 7
    • Normal Vector and Potential field
    • Gradient(Identities), Divergence and Curl(Identities)
    • Some Identities on Divergence and Curl
    • Line Integral (I)
    • Applications of Line Integrals
  8. Unit 8
    • Green's Theorem
    • Surface Area
    • Surface Integral
    • Divergence Theorem of Gauss
    • Stoke's Theorem

Advantages and disadvantages

Advantages

  • Taught by IIT and IISc professors, and it follows the Indian university syllabus closely.
  • All videos and assignments are free on NPTEL and SWAYAM.
  • The certificate is recognised by many Indian universities for credit transfer and by GATE aspirants.
  • Great for GATE and semester exam preparation.
  • From Indian Institute of Technology Roorkee, a well-regarded name.
  • Completely free.
  • Self-paced: start any time.
  • A clear syllabus (8 parts) you can see before you start.

Disadvantages

  • The certificate needs a proctored exam at a centre, which has a fee.
  • Recorded classroom lectures: thorough, but slower than made-for-online courses.
  • New runs start on fixed dates (January and July).
  • Learning is free, but the certificate costs money.

Some points apply to every course of this kind; see how we rank.

Free to learn

  • Free: Every video and assignment is free on NPTEL and SWAYAM. Enrol when the next run opens.
  • Certificate: Optional. It needs a proctored exam at a centre, which has a fee.

Taught by

  • Dr. Sanjeev Kumar, Prof. S. K. GuptaIIT Roorkee

Indian Institute of Technology Roorkee is in Tier 2: excellent universities and the companies that build the technology of our institution ranking (90/100).

Similar courses

Compare these

Harvard University · edX

Fundamentals of TinyML

4.567 ratings

Focusing on the basics of machine learning and embedded systems, such as smartphones, this course will introduce you to the “language” of TinyML.

Free to audit5 weeks, 2 - 4 hours per week

Harvard University · edX

Introduction to Data Science with Python

4.3174 ratings

Learn the concepts and techniques that make up the foundation of data science and machine learning.

Free to audit8 weeks, 3 - 5 hours per week

Harvard University · edX

CS50's Introduction to Computer Science

An introduction to the intellectual enterprises of computer science and the art of programming.

Free to audit12 weeks, 5 - 14 hours per week

Harvard University · edX

Data Science: Building Machine Learning Models

4.4133 ratings

Build a movie recommendation system and learn the science behind one of the most popular and successful data science techniques.

Free to audit8 weeks, 2 - 3 hours per week

Harvard University · edX

CS50's Introduction to Programming with Python

An introduction to programming using Python, a popular language for general-purpose programming, data science, web programming, and more.

Free to audit10 weeks, 3 - 6 hours per week

Harvard University · edX

Data Science: R Basics

4.4273 ratings

Build a foundation in R and learn how to wrangle, analyze, and visualize data.

Free to audit8 weeks, 2 - 3 hours per week

Enter your email and the official page opens. Phone is optional.