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Theme

Understanding Algorithms and Data Structures

Chapter 1
This chapter lays the foundation for computational thinking by exploring the nature of algorithms and the role of data structures in efficient problem-solving.

Goals

  • To grasp the concept of algorithms and why they are essential to computer science

  • To understand the various types of data structures and their applications

  • To analyze the efficiency of algorithms and data structures through complexity analysis

Key Concepts

  • Algorithm

  • Data Structure

  • Complexity Analysis

The Essence of Algorithms

Introduces the concept of algorithms as a set of instructions for solving problems and how they are the heartbeat of computer science.

un-published

Data Structures: Organizing Information

Explores the different types of data structures, such as arrays, linked lists, and trees, and how they can be used to organize and manage data efficiently.

un-published

Complexity Analysis: Measuring Efficiency

Delves into the concept of complexity analysis, introducing Big O notation as a way to measure the efficiency of algorithms and data structures.

un-published