Multiple Integration and Its Applications - Calculus (Undergraduate Advanced)

Multiple integration; line, surface and volume integrals.

11

Enrolment valid for 12 months
This course is also part of the following learning tracks. You may join a track to gain comprehensive knowledge across related courses.
CHE 305: Engineering Analysis I
CHE 305: Engineering Analysis I
Advanced engineering mathematics covering solid analytical geometry, integrals, scalar and vector fields, matrices and determinants and complex variables. Curated for third-year students of engineering at Obafemi Awolowo University, Ile-Ife, Nigeria. Students and professionals with similar learning goal will also find this learning track useful.

Advanced engineering mathematics covering solid analytical geometry, integrals, scalar and vector fields, matrices and determinants and complex variables. Curated for third-year students of engineering at Obafemi Awolowo University, Ile-Ife, Nigeria. Students and professionals with similar learning goal will also find this learning track useful.

See more
MTH 201: Mathematical Methods I
MTH 201: Mathematical Methods I
Mastering advanced calculus is essential for modelling complex systems in science and engineering. This track delivers the rigorous mathematical foundation demanded by the official NUC CCMAS curriculum for MTH 201. It systematically builds your expertise from fundamental single-variable theory to the sophisticated multivariable analysis used to solve critical problems in physics, economics, and technology. This programme is for undergraduates in engineering, mathematics, physics, and computer science requiring a deep theoretical and practical command of calculus. It also serves economics students needing advanced quantitative tools or professionals in finance and data science seeking a solid mathematical base for technical research. You will gain the analytical skills to construct formal proofs for differentiation rules and apply cornerstone theorems like Mean Value and Taylor's. You will master multivariable techniques, enabling you to solve constrained optimization problems with Lagrange multipliers and compute multiple integrals across line, surface, and volume domains. This track is the requisite preparation for advanced studies in differential equations, vector analysis, and complex engineering modelling.

Mastering advanced calculus is essential for modelling complex systems in science and engineering. This track delivers the rigorous mathematical foundation demanded by the official NUC CCMAS curriculum for MTH 201. It systematically builds your expertise from fundamental single-variable theory to the sophisticated multivariable analysis used to solve critical problems in physics, economics, and technology. This programme is for undergraduates in engineering, mathematics, physics, and computer science requiring a deep theoretical and practical command of calculus. It also serves economics students needing advanced quantitative tools or professionals in finance and data science seeking a solid mathematical base for technical research. You will gain the analytical skills to construct formal proofs for differentiation rules and apply cornerstone theorems like Mean Value and Taylor's. You will master multivariable techniques, enabling you to solve constrained optimization problems with Lagrange multipliers and compute multiple integrals across line, surface, and volume domains. This track is the requisite preparation for advanced studies in differential equations, vector analysis, and complex engineering modelling.

See more

Course Chapters

1. Introduction
7

A review of the methods of integration of single-variable functions.

Chapter lessons

1-1. Welcome
9:30

Welcome to the course and overview of course content.

1-2. Definition
20:21

Meaning of integration and its associated symbols.

1-3. Properties of integrals
21:30

Properties of integrals of real-valued single-variable functions.

1-4. Standard integrals
19:21

Overview of common functions and their integrals.

1-5. Techniques of integration (1)
14:51

A review of the techniques of integration of single-variable real-valued functions.

1-6. Techniques of integration (2)
27:39

A review of the techniques of integration of single-variable real-valued functions.

1-7. Techniques of integration (3)
21:10

A review of the techniques of integration of single-variable real-valued functions.

2. Line Integrals
6
3

Meaning and methods of evaluation of line integrals.

Chapter lessons

2-1. Definition
25:19

Meaning of line integral, in contrast to a definite integral along the x-axis.

2-2. Differentials
14:55

Scalar and vector differentials used in line integrals.

2-3. Parametric curves
39:28

Parametric forms of equations of straight and curved lines.

2-4. Forms of line integrals
14:55

Different forms of line integrals and how to evaluate them.

2-5. Properties
4:33

General properties of line integrals.

2-6. Conservative vector fields
14:55

Meaning and properties of line integrals of conservative vector fields - path independence of their line integrals.

3. Double Integrals
2
3

Meaning, methods of evaluation and applications of double integrals.

Chapter lessons

3-1. Definition
20:39

Meaning and symbols for double integrals.

3-2. Change of variables
24:46

How to evaluate double integrals by change of variables.

4. Applications of Double Integrals
5
1

Applications of double integrals to areas, volumes, total masses, centres of gravity, moments of inertia, etc.

Chapter lessons

4-1. Area and centroid
14:37

Calculation of area and centroid of a region R in a plane by double integration.

4-2. Area moments of inertia
5:01

Calculating area moments of inertia of a region R in a plane by double integration.

4-3. Volume
3:12

Calculation of volume beneath a surface and above a region R in a plane by double integration.

4-4. Mass and centre of gravity
18:24

Calculation of total mass and centre of gravity by double integration.

4-5. Mass moments of inertia
6:29

Meaning and calculation of mass moments of inertia by double integration.

5. Green's Theorem
2
3

Statement, meaning, proof and applications of Green's theorem in a plane - the two-dimensional form of the fundamental theorem of calculus.

Chapter lessons

5-1. Theorem
15:28

Statement of Green's theorem in a plane and its use in evaluating line integrals by double integrals, and vice-versa.

5-2. Proof
34:30

Proof of Green's theorem in a plane.

6. Surface Integrals
4
3

Meaning and methods of evaluation of surface integrals.

Chapter lessons

6-1. Definition

Meaning and symbols for surface integrals, in contrast to line integrals.

6-2. Differential surface

How to obtain the differential (elemental) surface area for surface integrals.

6-3. Parametric surfaces

Parametric representation of common surfaces.

6-4. Forms of surface integrals

Scalar and vector forms of surface integrals and how to evaluate them.

7. Stoke's Theorem
1
2

Statement, meaning, proof and applications of Stoke's theorem.

Chapter lessons

7-1. Theorem

Statement of Stoke's theorem and its application.

8. Triple Integrals
2
2

Meaning and methods of evaluation of triple integrals.

Chapter lessons

8-1. Definition

Meaning and symbols for triple integrals, in contrast to double integrals.

8-2. Evaluation

How to evaluate triple integrals.

9. Gauss' Theorem
1
1

Statement, meaning, proof and applications of Gauss' theorem.

Chapter lessons

9-1. Theorem

Statement of Gauss' theorem and its application.