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An Introduction to Basic Set Theory

An accessible and rigorously crafted introduction to set theory that equips learners with essential discrete‐math skills for computer science and beyond.

access

Lifetime

level

Beginner

certificate

Certificate of completion

language

English

What will you learn in An Introduction to Basic Set Theory Course

  • Grasp foundational concepts: sets, subsets, power sets, and Cartesian products

  • Understand operations on sets: union, intersection, difference, and complement

  • Work with relations and functions: equivalence relations, injections, surjections, and bijections

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  • Apply proofs techniques: induction, contradiction, and combinatorial arguments

  • Explore advanced topics: De Morgan’s laws, Venn diagrams, and the basics of cardinality

Program Overview

Module 1: Fundamentals of Sets

⏳ 1 week

  • Topics: Definitions, notation, roster vs. set‐builder forms

  • Hands-on: Create and classify sets; construct power sets for small finite examples

Module 2: Set Operations & Laws

⏳ 1 week

  • Topics: Union, intersection, difference, complement; associative, commutative, and distributive laws

  • Hands-on: Prove De Morgan’s laws and simplify set expressions with Venn diagrams

Module 3: Cartesian Products & Tuples

⏳ 1 week

  • Topics: Ordered pairs, n-tuples, product sets, and their sizes

  • Hands-on: Enumerate Cartesian products for given finite sets and count elements

Module 4: Relations on Sets

⏳ 1 week

  • Topics: Definitions of relations, domains, ranges, properties (reflexive, symmetric, transitive)

  • Hands-on: Determine whether sample relations are equivalence relations and partition sets accordingly

Module 5: Functions Between Sets

⏳ 1 week

  • Topics: Functions, injections, surjections, bijections, inverse functions, composition

  • Hands-on: Classify given mappings as injective/surjective/bijective and construct inverses

Module 6: Introduction to Proofs

⏳ 1 week

  • Topics: Direct proof, proof by contradiction, proof by induction in the context of sets

  • Hands-on: Prove basic set identities and use induction to establish formulas for cardinalities

Module 7: Cardinality & Infinite Sets

⏳ 1 week

  • Topics: Finite vs. infinite sets, countability, Cantor’s theorem on power sets

  • Hands-on: Show that the power set of ℕ has strictly greater cardinality than ℕ itself

Module 8: Applications & Advanced Patterns

⏳ 1 week

  • Topics: Inclusion–exclusion principle, Venn‐diagram problem solving, beginnings of combinatorial set theory

  • Hands-on: Solve counting problems using inclusion–exclusion and construct Venn diagrams for three sets

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Job Outlook

  • Set theory underpins computer science (data structures, databases), discrete mathematics, and formal logic
  • Roles benefiting: Software Engineer, Data Scientist, Algorithm Designer, Research Analyst
  • Salaries range broadly ($70,000–$140,000+) depending on specialization and industry
  • A strong mathematical foundation opens doors to advanced studies in algorithms, cryptography, and AI
9.5Expert Score
Highly Recommendedx
This course offers a clear and methodical introduction to set theory, blending rigorous definitions with practical proofs and examples.
Value
9
Price
9.2
Skills
9.4
Information
9.5
PROS
  • Well‐structured progression from basic concepts to proof techniques
  • Hands‐on exercises reinforce both intuition and formal reasoning
  • Venn diagram and combinatorial modules make abstract ideas tangible
CONS
  • Limited exploration of advanced topics like ZF axioms or ordinal arithmetic
  • Purely text‐and‐diagram format may challenge learners preferring video lectures

Specification: An Introduction to Basic Set Theory

access

Lifetime

level

Beginner

certificate

Certificate of completion

language

English

FAQs

  • Only basic high school-level mathematics is required.
  • Familiarity with algebraic operations and numbers helps understanding.
  • No prior exposure to logic or proofs is mandatory.
  • The course gradually introduces set operations and concepts.
  • Students can learn at their own pace without advanced math prerequisites.
  • It is fundamental in computer science, especially in databases and algorithms.
  • Set operations underpin concepts in probability and statistics.
  • Useful for logical reasoning and problem-solving tasks.
  • Forms the basis of topics like relations, functions, and graph theory.
  • Helps structure and organize data efficiently in software and research.
  • Yes, it is designed to be beginner-friendly.
  • Concepts are explained with simple examples and illustrations.
  • Focuses on intuitive understanding rather than complex proofs.
  • Exercises reinforce learning without requiring advanced skills.
  • Suitable for anyone with curiosity about fundamental mathematics.
  • Yes, it lays a solid foundation for topics like logic, calculus, and discrete math.
  • Introduces fundamental notions of union, intersection, and complements.
  • Helps develop analytical thinking necessary for proofs in higher math.
  • Builds familiarity with mathematical notation and reasoning.
  • Acts as a prerequisite for courses in probability, algebra, and computer science.
  • The course includes sample problems to apply learned concepts.
  • Exercises focus on union, intersection, difference, and complement operations.
  • Encourages logical reasoning and step-by-step problem solving.
  • Students can practice with both numeric and abstract sets.
  • Additional practice outside the course is recommended for mastery.
An Introduction to Basic Set Theory
An Introduction to Basic Set Theory
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