Vector Algebra and Geometry - Vectors (Undergraduate Foundation)

Vectors are the primary tool for describing quantities with both magnitude and direction. This course provides a complete foundation in their algebraic and geometric properties. We move systematically from the basic definition and classification of vectors to the core operations of vector algebra: addition and scalar multiplication. The curriculum then progresses to essential geometric applications, including position vectors, Cartesian components, direction cosines, the division of lines, vector projections, and centroids. A command of vector algebra is not optional; it is essential for any technical or scientific discipline. This knowledge is the bedrock of classical mechanics, electromagnetism, and fluid dynamics. Engineers use these principles to analyse forces, computer scientists use them to build 3D graphics engines, and data scientists apply them in advanced linear algebra. This course provides the indispensable mathematical toolkit required for these fields. Upon completion, you will be able to perform all fundamental vector operations with precision. You will resolve vectors into Cartesian components and use direction cosines. You will solve geometric problems involving position vectors, the internal and external division of lines, and collinearity. Furthermore, you will master the calculation of vector projections and the determination of centroids in geometric systems. This course is designed for first-year undergraduate students in Engineering, Physics, Mathematics, and Computer Science. It serves as a critical foundation for anyone beginning studies that rely on applied mathematics. It is also a rigorous and efficient refresher for professionals or advanced students who need to solidify their understanding of foundational vector principles before tackling more complex material.

385

21 hrs

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.
GET 209: Engineering Mathematics I
GET 209: Engineering Mathematics I
Master the mathematical language of engineering. This programme delivers the complete analytical toolkit required for a successful engineering career, covering single-variable calculus, multivariable calculus, linear algebra, and vector analysis. It provides the essential foundation for all subsequent engineering courses. This programme is for second-year undergraduate students across all engineering disciplines. It delivers the official NUC CCMAS curriculum for Engineering Mathematics, providing the core training required for advanced modules in mechanics, thermodynamics, and circuit theory. Model and analyse complex physical systems using calculus, linear algebra, and vector analysis. You will be equipped to solve problems in dynamics, statics, and field theory, providing the quantitative proficiency required for advanced engineering study and professional practice.

Master the mathematical language of engineering. This programme delivers the complete analytical toolkit required for a successful engineering career, covering single-variable calculus, multivariable calculus, linear algebra, and vector analysis. It provides the essential foundation for all subsequent engineering courses. This programme is for second-year undergraduate students across all engineering disciplines. It delivers the official NUC CCMAS curriculum for Engineering Mathematics, providing the core training required for advanced modules in mechanics, thermodynamics, and circuit theory. Model and analyse complex physical systems using calculus, linear algebra, and vector analysis. You will be equipped to solve problems in dynamics, statics, and field theory, providing the quantitative proficiency required for advanced engineering study and professional practice.

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MTH 103: Elementary Mathematics III - Vectors, Geometry and Dynamics
MTH 103: Elementary Mathematics III - Vectors, Geometry and Dynamics
This comprehensive learning track guides you through the complete world of vector analysis. We begin with the fundamentals of vector algebra and its application to foundational geometry. You will then master scalar, vector, and triple products before using them to construct the vector equations of lines, planes, and conics. The journey culminates in advanced topics, including vector calculus, its applications in classical mechanics, and an introduction to differential geometry. Vectors are the essential language used to describe our physical world, making their mastery non-negotiable for any serious student of science or engineering. This track is designed to build your intuition for spatial reasoning and equip you with a powerful problem-solving toolkit. You will see direct applications in mechanics, analyzing forces and motion; in geometry, calculating angles and distances; and in calculus, modeling dynamic change over time. While this track is tailored to the first-year university curriculum for MTH 104 at Obafemi Awolowo University, Ile-Ife, Nigeria, it is an invaluable resource for a wide range of learners. It is ideal for any undergraduate student in mathematics, physics, engineering, or computer science seeking a comprehensive understanding of vector analysis. Furthermore, it serves as an excellent and thorough refresher for professionals who wish to solidify their foundational knowledge of this critical subject.

This comprehensive learning track guides you through the complete world of vector analysis. We begin with the fundamentals of vector algebra and its application to foundational geometry. You will then master scalar, vector, and triple products before using them to construct the vector equations of lines, planes, and conics. The journey culminates in advanced topics, including vector calculus, its applications in classical mechanics, and an introduction to differential geometry. Vectors are the essential language used to describe our physical world, making their mastery non-negotiable for any serious student of science or engineering. This track is designed to build your intuition for spatial reasoning and equip you with a powerful problem-solving toolkit. You will see direct applications in mechanics, analyzing forces and motion; in geometry, calculating angles and distances; and in calculus, modeling dynamic change over time. While this track is tailored to the first-year university curriculum for MTH 104 at Obafemi Awolowo University, Ile-Ife, Nigeria, it is an invaluable resource for a wide range of learners. It is ideal for any undergraduate student in mathematics, physics, engineering, or computer science seeking a comprehensive understanding of vector analysis. Furthermore, it serves as an excellent and thorough refresher for professionals who wish to solidify their foundational knowledge of this critical subject.

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Course Chapters

1. Introduction
5

Definitions of scalars, vectors and tensors; representation of a vector by a directed line segment; kinds of vectors - free, localized, equal, null, unit, like and unlike vectors.

Chapter lessons

1-1. Welcome
7:57

Welcome to the course and course outline.

1-2. Definition
57:41

Meaning of scalars, vectors and tensors; representation of a vector by a directed line segment.

1-3. Kinds of vectors (1)
19:29

Free and localized vectors.

1-4. Kinds of vectors (2)
8:03

Equal and null vectors.

1-5. Kinds of vectors (3)
10:04

Unit vectors, like and unlike vectors.

2. Vector Algebra
6
5

Vector addition - triangle and parallelogram laws; multiplication of a vector by a scalar; relations on mid-points of sides of a triangle; vector algebra on quadrilaterals and other polygons; parallel vectors; laws of vector algebra.

Chapter lessons

2-1. Vector addition (1)
20:02

Triangle rule of addition of two vectors.

2-2. Vector addition (2)
15:48

Parallelogram rule of addition of two vectors.

2-3. Vector addition (3)
13:07

Polygon rule of vector addition.

2-4. Scalar multiplication
14:06

Multiplication of a vector by a scalar.

2-5. Laws of vector algebra
16:00

Laws (properties) of vector addition and scalar multiplication.

2-6. Parallel vectors
27:49

Meaning and relations of parallel vectors; parallel and anti-parallel, like and unlike vectors.

3. Position Vectors
1
2

Meaning and algebra of position vectors.

Chapter lessons

3-1. Definition
10:04

Meaning and representation of position vectors.

4. Vector Components
4
5

Meaning of vector components; resolution of vectors into components in two and three dimensions; unit vectors, direction cosines and angle between two vectors in the three-dimensional Cartesian coordinate system.

Chapter lessons

4-1. Definition
17:56

Meaning and illustration of the components of a vector along arbitrary directions.

4-2. Cartesian components (1)
18:48

Components of a vector in two-dimensional Cartesian coordinates.

4-3. Cartesian components (2)
43:36

Components of a vector in three-dimensional Cartesian coordinates.

4-4. Direction cosines
22:13

Meaning of direction cosines and the use of direction cosines to find the angle between two vectors.

5. Division of a Line
3
3

Ratio Division of a line internally and externally; collinearity of points.

Chapter lessons

5-1. Internal division
17:45

Internal division of a line in a given ratio by a point.

5-2. External division
24:43

External division of a line in a given ratio by a point.

5-3. Collinearity
21:26

Meaning of collinearity and the algebraic condition for collinearity of three points.

6. Vector Projections
2
2

Projection of a vector on another vector; projection of a vector on a plane.

Chapter lessons

6-1. On another vector
20:58

Meaning of projection; analysis of the projection of a vector on another vector.

6-2. Onto a plane
18:15

Analysis of the projection of a vector on a plane.

7. Centroids
2
2

Mean centre (geometric centre) of a number of points; weighted mean centres.

Chapter lessons

7-1. Centroid
8:07

Meaning and analysis of the centroid of a number of points.

7-2. Weighted mean
12:21

Meaning and analysis of the weighted mean of a number of points.