Free AI-assisted K12 Learning

Advanced Python: Algorithms & Data Structures


 Enhances Python skills with challenges in algorithms and data structures for problem‑solving.

 Description : Focused on advanced Python, students tackle algorithmic challenges and data structure problems, building a solid foundation for computational thinking and problem‑solving.

Category : Coding & Engineering
Age : 10+
Difficulty Level : Normal

 Curriculum :
          Module 1: Python Basics and Setup
Section 1: Introduction to Python Environment
- Lesson 1: Installing Python and Setting Up
  - Module 1, Section 1, Lesson 1 Installing Python and Setting Up
- Lesson 2: Navigating an IDE
  - Module 1, Section 1, Lesson 2 Navigating an IDE

Section 2: Python Syntax and Semantics
- Lesson 1: Understanding Variables and Data Types
  - Module 1, Section 2, Lesson 1 Understanding Variables and Data Types
- Lesson 2: Writing Simple Statements and Expressions
  - Module 1, Section 2, Lesson 2 Writing Simple Statements and Expressions

Section 3: Control Flow Fundamentals
- Lesson 1: Introduction to Conditional Statements
  - Module 1, Section 3, Lesson 1 Introduction to Conditional Statements
- Lesson 2: Basic Loops and Iteration
  - Module 1, Section 3, Lesson 2 Basic Loops and Iteration

Section 4: Functions and Modules
- Lesson 1: Defining and Calling Functions
  - Module 1, Section 4, Lesson 1 Defining and Calling Functions
- Lesson 2: Importing and Using Modules
  - Module 1, Section 4, Lesson 2 Importing and Using Modules

Section 5: Error Handling and Debugging
- Lesson 1: Identifying and Fixing Syntax Errors
  - Module 1, Section 5, Lesson 1 Identifying and Fixing Syntax Errors
- Lesson 2: Introduction to Debugging Techniques
  - Module 1, Section 5, Lesson 2 Introduction to Debugging Techniques

Module 2: Data Structures Fundamentals
Section 1: Basic Data Structures Overview
- Lesson 1: Lists and Their Operations
  - Module 2, Section 1, Lesson 1 Lists and Their Operations
- Lesson 2: Tuples and When to Use Them
  - Module 2, Section 1, Lesson 2 Tuples and When to Use Them

Section 2: Exploring Dictionaries
- Lesson 1: Understanding Key-Value Pairs
  - Module 2, Section 2, Lesson 1 Understanding Key-Value Pairs
- Lesson 2: Basic Dictionary Methods
  - Module 2, Section 2, Lesson 2 Basic Dictionary Methods

Section 3: Working with Sets
- Lesson 1: Creating and Managing Sets
  - Module 2, Section 3, Lesson 1 Creating and Managing Sets
- Lesson 2: Set Operations and Use Cases
  - Module 2, Section 3, Lesson 2 Set Operations and Use Cases

Section 4: Strings and Their Methods
- Lesson 1: Manipulating Text with Strings
  - Module 2, Section 4, Lesson 1 Manipulating Text with Strings
- Lesson 2: String Formatting and Slicing
  - Module 2, Section 4, Lesson 2 String Formatting and Slicing

Section 5: Composite Data Structures
- Lesson 1: Nested Data Structures
  - Module 2, Section 5, Lesson 1 Nested Data Structures
- Lesson 2: Converting Between Data Structures
  - Module 2, Section 5, Lesson 2 Converting Between Data Structures

Module 3: Algorithms Essentials
Section 1: Introduction to Algorithms
- Lesson 1: What is an Algorithm?
  - Module 3, Section 1, Lesson 1 What is an Algorithm?
- Lesson 2: Step-by-Step Problem Solving
  - Module 3, Section 1, Lesson 2 Step-by-Step Problem Solving

Section 2: Sorting Fundamentals
- Lesson 1: Basic Sorting Concepts
  - Module 3, Section 2, Lesson 1 Basic Sorting Concepts
- Lesson 2: Implementing a Simple Bubble Sort
  - Module 3, Section 2, Lesson 2 Implementing a Simple Bubble Sort

Section 3: Searching Techniques
- Lesson 1: Linear Search Technique
  - Module 3, Section 3, Lesson 1 Linear Search Technique
- Lesson 2: Introduction to Binary Search
  - Module 3, Section 3, Lesson 2 Introduction to Binary Search

Section 4: Recursion Basics
- Lesson 1: Understanding Recursion
  - Module 3, Section 4, Lesson 1 Understanding Recursion
- Lesson 2: Using Recursion for Simple Problems
  - Module 3, Section 4, Lesson 2 Using Recursion for Simple Problems

Section 5: Algorithm Efficiency and Complexity
- Lesson 1: Basics of Time Complexity
  - Module 3, Section 5, Lesson 1 Basics of Time Complexity
- Lesson 2: Comparing Algorithm Performance
  - Module 3, Section 5, Lesson 2 Comparing Algorithm Performance

Module 4: Problem Solving Techniques
Section 1: Decomposing Problems
- Lesson 1: Breaking Down Problems into Steps
  - Module 4, Section 1, Lesson 1 Breaking Down Problems into Steps
- Lesson 2: Mapping Out a Plan with Pseudocode
  - Module 4, Section 1, Lesson 2 Mapping Out a Plan with Pseudocode

Section 2: Working with Flowcharts
- Lesson 1: Introduction to Flowchart Symbols
  - Module 4, Section 2, Lesson 1 Introduction to Flowchart Symbols
- Lesson 2: Creating a Simple Flowchart
  - Module 4, Section 2, Lesson 2 Creating a Simple Flowchart

Section 3: Debugging and Testing Strategies
- Lesson 1: Writing Test Cases
  - Module 4, Section 3, Lesson 1 Writing Test Cases
- Lesson 2: Manual Debugging Strategies
  - Module 4, Section 3, Lesson 2 Manual Debugging Strategies

Section 4: Working Through Examples
- Lesson 1: Analyzing Sample Problems Part 1
  - Module 4, Section 4, Lesson 1 Analyzing Sample Problems Part 1
- Lesson 2: Analyzing Sample Problems Part 2
  - Module 4, Section 4, Lesson 2 Analyzing Sample Problems Part 2

Section 5: Introduction to Code Optimization
- Lesson 1: Recognizing Redundant Code
  - Module 4, Section 5, Lesson 1 Recognizing Redundant Code
- Lesson 2: Simple Refactoring Techniques
  - Module 4, Section 5, Lesson 2 Simple Refactoring Techniques

Module 5: Project Applications and Review
Section 1: Project Planning and Idea Generation
- Lesson 1: Brainstorming Coding Projects
  - Module 5, Section 1, Lesson 1 Brainstorming Coding Projects
- Lesson 2: Outlining Project Requirements
  - Module 5, Section 1, Lesson 2 Outlining Project Requirements

Section 2: Implementing a Mini-Project – Part 1
- Lesson 1: Setting Up the Project Structure
  - Module 5, Section 2, Lesson 1 Setting Up the Project Structure
- Lesson 2: Writing Basic Functionalities
  - Module 5, Section 2, Lesson 2 Writing Basic Functionalities

Section 3: Implementing a Mini-Project – Part 2
- Lesson 1: Enhancing with Data Structures
  - Module 5, Section 3, Lesson 1 Enhancing with Data Structures
- Lesson 2: Incorporating Basic Algorithms
  - Module 5, Section 3, Lesson 2 Incorporating Basic Algorithms

Section 4: Testing and Debugging Projects
- Lesson 1: Running Tests on Your Code
  - Module 5, Section 4, Lesson 1 Running Tests on Your Code
- Lesson 2: Debugging the Mini-Project
  - Module 5, Section 4, Lesson 2 Debugging the Mini-Project

Section 5: Final Review and Reflection
- Lesson 1: Recap of Python Fundamentals and Data Structures
  - Module 5, Section 5, Lesson 1 Recap of Python Fundamentals and Data Structures
- Lesson 2: Strategies for Continued Learning
  - Module 5, Section 5, Lesson 2 Strategies for Continued Learning