Discrete Mathematics
Introduces key topics in discrete math, including logic, set theory, and combinatorics.
Description : This course covers fundamental concepts such as proofs, algorithms, and combinatorial analysis. Students develop critical thinking and problem‑solving skills that are essential for advanced mathematical reasoning.
Category : Math
Age : 12+
Difficulty Level : Normal
Curriculum :
Module 1: Introduction to Discrete Mathematics Section 1: Understanding Discrete Mathematics - Lesson 1: Overview of Discrete Mathematics Module 1, Section 1, Lesson 1 Overview of Discrete Mathematics - Lesson 2: History and Applications Module 1, Section 1, Lesson 2 History and Applications Section 2: Fundamental Concepts and Sets - Lesson 1: Basics of Set Theory Module 1, Section 2, Lesson 1 Basics of Set Theory - Lesson 2: Introduction to Logic Statements Module 1, Section 2, Lesson 2 Introduction to Logic Statements Section 3: Mathematical Structures - Lesson 1: Functions and Relations Module 1, Section 3, Lesson 1 Functions and Relations - Lesson 2: Basic Counting Principles Module 1, Section 3, Lesson 2 Basic Counting Principles Section 4: Introduction to Algorithms - Lesson 1: What is an Algorithm? Module 1, Section 4, Lesson 1 What is an Algorithm? - Lesson 2: Algorithmic Thinking and Problem Solving Module 1, Section 4, Lesson 2 Algorithmic Thinking and Problem Solving Section 5: Developing Problem-Solving Strategies - Lesson 1: Approaching Problems Step by Step Module 1, Section 5, Lesson 1 Approaching Problems Step by Step - Lesson 2: Practical Examples and Exercises Module 1, Section 5, Lesson 2 Practical Examples and Exercises Module 2: Basic Logic and Proofs Section 1: Propositional Logic Foundations - Lesson 1: Introduction to Propositions Module 2, Section 1, Lesson 1 Introduction to Propositions - Lesson 2: Constructing Truth Tables Module 2, Section 1, Lesson 2 Constructing Truth Tables Section 2: Logical Connectives and Equivalence - Lesson 1: Understanding Logical Connectives Module 2, Section 2, Lesson 1 Understanding Logical Connectives - Lesson 2: Basic Logical Equivalences Module 2, Section 2, Lesson 2 Basic Logical Equivalences Section 3: Introduction to Proof Techniques - Lesson 1: Direct Proof Methods Module 2, Section 3, Lesson 1 Direct Proof Methods - Lesson 2: Indirect Proof and Contradiction Module 2, Section 3, Lesson 2 Indirect Proof and Contradiction Section 4: Quantifiers and Predicates - Lesson 1: Basics of Quantifiers Module 2, Section 4, Lesson 1 Basics of Quantifiers - Lesson 2: Using Predicates in Proofs Module 2, Section 4, Lesson 2 Using Predicates in Proofs Section 5: Applying Logic in Mathematical Reasoning - Lesson 1: Formulating Precise Statements Module 2, Section 5, Lesson 1 Formulating Precise Statements - Lesson 2: Logical Reasoning in Problem Solving Module 2, Section 5, Lesson 2 Logical Reasoning in Problem Solving Module 3: Algorithms and Complexity Section 1: Introduction to Algorithms - Lesson 1: Defining an Algorithm Module 3, Section 1, Lesson 1 Defining an Algorithm - Lesson 2: Importance of Algorithms in Mathematics Module 3, Section 1, Lesson 2 Importance of Algorithms in Mathematics Section 2: Writing Pseudocode and Flowcharts - Lesson 1: Basics of Pseudocode Module 3, Section 2, Lesson 1 Basics of Pseudocode - Lesson 2: Creating Flowcharts for Algorithms Module 3, Section 2, Lesson 2 Creating Flowcharts for Algorithms Section 3: Sorting and Searching Techniques - Lesson 1: Introduction to Sorting Methods Module 3, Section 3, Lesson 1 Introduction to Sorting Methods - Lesson 2: Fundamentals of Searching Algorithms Module 3, Section 3, Lesson 2 Fundamentals of Searching Algorithms Section 4: Recursion Fundamentals - Lesson 1: Understanding the Concept of Recursion Module 3, Section 4, Lesson 1 Understanding the Concept of Recursion - Lesson 2: Simple Recursive Examples Module 3, Section 4, Lesson 2 Simple Recursive Examples Section 5: Basics of Algorithm Analysis - Lesson 1: Introduction to Complexity Notation Module 3, Section 5, Lesson 1 Introduction to Complexity Notation - Lesson 2: Analyzing Time and Space Complexity Module 3, Section 5, Lesson 2 Analyzing Time and Space Complexity Module 4: Combinatorics Fundamentals Section 1: Fundamental Counting Principles - Lesson 1: The Rule of Product Module 4, Section 1, Lesson 1 The Rule of Product - Lesson 2: The Rule of Sum Module 4, Section 1, Lesson 2 The Rule of Sum Section 2: Introduction to Permutations - Lesson 1: Understanding Permutations Module 4, Section 2, Lesson 1 Understanding Permutations - Lesson 2: Calculating Permutations in Practice Module 4, Section 2, Lesson 2 Calculating Permutations in Practice Section 3: Introduction to Combinations - Lesson 1: Basics of Combinations Module 4, Section 3, Lesson 1 Basics of Combinations - Lesson 2: Practical Examples Using Combinations Module 4, Section 3, Lesson 2 Practical Examples Using Combinations Section 4: The Pigeonhole Principle - Lesson 1: Concept and Explanation of the Pigeonhole Principle Module 4, Section 4, Lesson 1 Concept and Explanation of the Pigeonhole Principle - Lesson 2: Applications of the Pigeonhole Principle Module 4, Section 4, Lesson 2 Applications of the Pigeonhole Principle Section 5: Combinatorial Problem Solving - Lesson 1: Strategies for Tackling Counting Problems Module 4, Section 5, Lesson 1 Strategies for Tackling Counting Problems - Lesson 2: Practice Problems and Interactive Exercises Module 4, Section 5, Lesson 2 Practice Problems and Interactive Exercises Module 5: Introduction to Graph Theory Section 1: Graph Terminology and Concepts - Lesson 1: Basic Terminology in Graph Theory Module 5, Section 1, Lesson 1 Basic Terminology in Graph Theory - Lesson 2: Types and Properties of Graphs Module 5, Section 1, Lesson 2 Types and Properties of Graphs Section 2: Graph Representations - Lesson 1: Representing Graphs with Diagrams Module 5, Section 2, Lesson 1 Representing Graphs with Diagrams - Lesson 2: Adjacency Lists and Matrices Module 5, Section 2, Lesson 2 Adjacency Lists and Matrices Section 3: Graph Traversal Techniques - Lesson 1: Introduction to Depth-First Search (DFS) Module 5, Section 3, Lesson 1 Introduction to Depth-First Search (DFS) - Lesson 2: Introduction to Breadth-First Search (BFS) Module 5, Section 3, Lesson 2 Introduction to Breadth-First Search (BFS) Section 4: Trees and Their Applications - Lesson 1: Understanding Trees as Graphs Module 5, Section 4, Lesson 1 Understanding Trees as Graphs - Lesson 2: Basic Tree Traversal Methods Module 5, Section 4, Lesson 2 Basic Tree Traversal Methods Section 5: Real-World Applications of Graph Theory - Lesson 1: Graphs in Network Analysis Module 5, Section 5, Lesson 1 Graphs in Network Analysis - Lesson 2: Case Studies and Practical Examples Module 5, Section 5, Lesson 2 Case Studies and Practical Examples