Vector Algebra and Foundational Geometry - Vectors (Undergraduate Foundation)

This course provides a comprehensive, first-principles guide to vector analysis. We begin with the essential definitions, distinguishing between scalars, vectors, and various vector types. You will then master the core rules of vector algebra—including the triangle and parallelogram laws of addition and scalar multiplication—before applying them to prove geometric properties of polygons. The curriculum progresses logically through key concepts such as position vectors, resolving vectors into Cartesian components, the division of lines, vector projections, and the calculation of centroids. The true power of vectors lies in their ability to connect abstract algebra to tangible geometry. This course is built around that connection, with a heavy emphasis on practical application. Through dozens of meticulously worked examples, you will move beyond theory and develop a deep, intuitive understanding of how to represent and solve complex geometric problems, building the confidence and skill needed for more advanced study. This programme is designed for students in late secondary school (such as A-Level or IB) and first-year university students in physics, engineering, mathematics, and computer science. It is the perfect starting point for anyone new to the subject and an invaluable refresher for those who need to solidify their foundational knowledge before tackling more advanced topics like linear algebra or vector calculus.

358

21 hrs

Payment required for enrolment
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.
[NUC Core] GET 209: Engineering Mathematics I
[NUC Core] 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.

[OAU, Ife] MTH 104: Vectors
[OAU, Ife] MTH 104: Vectors
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.

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.