Relations - Introductory Abstract Algebra (Undergraduate Advanced)

This course builds up a key part of the foundation for abstract algebra—relations. We explore equivalence relations, partitions, orderings, and how they help us organize and understand mathematical structures. These ideas connect directly to how we define and work with algebraic systems like groups and rings. Clear, focused, and made for first-time learners stepping into abstract algebra.

18 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.
MTH 205: Introduction to Abstract Algebra
MTH 205: Introduction to Abstract Algebra
Master the foundational structures of modern mathematics. This learning track provides a direct path through abstract algebra, from basic sets to groups, rings, and fields. It delivers the analytical framework essential for advanced theoretical work. This programme is for undergraduate students in mathematics, computer science, or theoretical physics. It is also essential for professionals requiring a rigorous grasp of algebraic structures for work in cryptography, algorithm design, or quantum computing. Construct rigorous proofs and analyse the properties of groups, rings, and fields. This programme directly prepares you for postgraduate studies in pure mathematics and for advanced technical roles in cryptography and algorithm theory.

Master the foundational structures of modern mathematics. This learning track provides a direct path through abstract algebra, from basic sets to groups, rings, and fields. It delivers the analytical framework essential for advanced theoretical work. This programme is for undergraduate students in mathematics, computer science, or theoretical physics. It is also essential for professionals requiring a rigorous grasp of algebraic structures for work in cryptography, algorithm design, or quantum computing. Construct rigorous proofs and analyse the properties of groups, rings, and fields. This programme directly prepares you for postgraduate studies in pure mathematics and for advanced technical roles in cryptography and algorithm theory.

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MTH 203: Sets, Logic and Algebra I
MTH 203: Sets, Logic and Algebra I
Abstract algebra is the structural foundation of modern advanced mathematics. This track delivers the complete NUC CCMAS MTH 203 curriculum, rigorously transitioning you from computational arithmetic to abstract mathematical reasoning. It provides the necessary prerequisite framework for understanding complex mathematical systems and their applications. This programme is targeted at undergraduate students in mathematics, computer science, and physics requiring a firm grounding in fundamental algebraic structures. It also serves professionals in fields like cryptography or theoretical computer science who need a rigorous theoretical refresher. You will master the precise definitions, properties, and relations of core algebraic structures, including groups, subgroups, rings, and fields. You will gain competence in constructing formal proofs using set theory and logic, and understand how homomorphisms preserve mathematical structure. Completion establishes the critical theoretical base demanded for advanced studies in algebra, coding theory, and algorithm design.

Abstract algebra is the structural foundation of modern advanced mathematics. This track delivers the complete NUC CCMAS MTH 203 curriculum, rigorously transitioning you from computational arithmetic to abstract mathematical reasoning. It provides the necessary prerequisite framework for understanding complex mathematical systems and their applications. This programme is targeted at undergraduate students in mathematics, computer science, and physics requiring a firm grounding in fundamental algebraic structures. It also serves professionals in fields like cryptography or theoretical computer science who need a rigorous theoretical refresher. You will master the precise definitions, properties, and relations of core algebraic structures, including groups, subgroups, rings, and fields. You will gain competence in constructing formal proofs using set theory and logic, and understand how homomorphisms preserve mathematical structure. Completion establishes the critical theoretical base demanded for advanced studies in algebra, coding theory, and algorithm design.

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Course Chapters

1. Introduction
8
2
Introduction to ordered pairs, Cartesian products and relations.
Concept Overviews
8 Lessons
2:08:30
Problem Walkthroughs
2 Lessons
47:40
2. Reflexive Relations
1
2
Meaning and identification of reflexive relations.
Concept Overviews
1 Lesson
13:22
Problem Walkthroughs
2 Lessons
30:39
3. Symmetric Relations
1
2
Meaning and identification of symmetric relations.
Concept Overviews
1 Lesson
9:28
Problem Walkthroughs
2 Lessons
29:09
4. Transitive Relations
1
2
Meaning and identification of transitive relations.
Concept Overviews
1 Lesson
13:17
Problem Walkthroughs
2 Lessons
30:40
5. Equivalence Relations
1
3
Meaning and identification of equivalence relations.
Concept Overviews
1 Lesson
14:52
Problem Walkthroughs
3 Lessons
59:39
6. Empty Relation
2
Meaning and properties of the empty relation.
Concept Overviews
2 Lessons
27:01
7. Equivalence Classes
2
4
Meaning and calculation of equivalence classes for a given equivalence relation.
Concept Overviews
2 Lessons
25:46
Problem Walkthroughs
4 Lessons
2:08:01
8. Congruence and Residue Classes
3
Meaning and examples of congruence relations and residue classes.
Concept Overviews
3 Lessons
1:11:44
9. Partially-Ordered Sets
7
3
Meaning and properties of partially-ordered sets.
Concept Overviews
7 Lessons
1:34:47
Problem Walkthroughs
3 Lessons
57:53
10. Lattices
4
Meaning and properties of lattices.
Concept Overviews
4 Lessons
1:13:12