Jump to content

Main Page: Difference between revisions

From Computer Science Knowledge Base
Line 5: Line 5:


* 1.1.1 [[1.1.1 Definition and Scope|Definition and Scope]]
* 1.1.1 [[1.1.1 Definition and Scope|Definition and Scope]]
* 1.1.2 Problem-Solving : Computational Thinking
* 1.1.2 Problem-Solving - Computational Thinking
* 1.1.3 Interdisciplinary Nature
* 1.1.3 Interdisciplinary Nature



Revision as of 07:56, 5 July 2025

Table of Contents

1.0 Introduction to Computer Science

1.1 What is Computer Science?

  • 1.1.1 Definition and Scope
  • 1.1.2 Problem-Solving - Computational Thinking
  • 1.1.3 Interdisciplinary Nature

1.2 History of Computing

  • 1.2.1 Early Calculating Devices (Abacus, Pascaline, Leibniz Wheel)
  • 1.2.2 Analytical Engine (Babbage & Lovelace)
  • 1.2.3 Early Electronic Computers (ENIAC, UNIVAC)
  • 1.2.4 Transistors & Integrated Circuits
  • 1.2.5 Personal Computers & the Internet

1.3 Key Figures in Computer Science

  • 1.3.1 Ada Lovelace, Alan Turing, Grace Hopper, Dennis Ritchie, Linus Torvalds, etc.

1.4 Branches of Computer Science

  • 1.4.1 Theoretical CS, Algorithms, Data Structures, AI, ML, Cybersecurity, Networking, etc.

2.0 Foundational Concepts

2.1 Data Representation

  • 2.1.1 Binary Numbers (Bits, Bytes)
  • 2.1.2 Number Systems (Decimal, Binary, Octal, Hexadecimal)
  • 2.1.3 Character Encoding (ASCII, Unicode, UTF-8)
  • 2.1.4 Image, Audio, and Video Representation (Basic)

2.2 Boolean Algebra & Logic Gates

  • 2.2.1 AND, OR, NOT, XOR, NAND, NOR gates
  • 2.2.2 Truth Tables
  • 2.2.3 Boolean Expressions & Simplification

2.3 Algorithms & Pseudocode

  • 2.3.1 Definition of an Algorithm
  • 2.3.2 Characteristics of Good Algorithms
  • 2.3.3 Representing Algorithms (Flowcharts, Pseudocode)

2.4 Computational Thinking

  • 2.4.1 Decomposition, Pattern Recognition, Abstraction, Algorithms

3.0 Programming Fundamentals

3.1 Programming Paradigms

  • 3.1.1 Procedural Programming
  • 3.1.2 Object-Oriented Programming (OOP) - Basic Concepts
  • 3.1.3 Functional Programming (Basic Concepts)

3.2 Data Types & Variables

  • 3.2.1 Primitive Data Types (Integers, Floats, Booleans, Characters)
  • 3.2.2 Reference Data Types (Strings, Objects)
  • 3.2.3 Variable Declaration and Initialization

3.3 Control Structures

  • 3.3.1 Conditional Statements (if, else if, else, switch)
  • 3.3.2 Looping Constructs (for, while, do-while)

3.4 Functions/Methods

  • 3.4.1 Definition and Purpose
  • 3.4.2 Parameters and Return Values
  • 3.4.3 Scope

3.5 Basic Data Structures

  • 3.5.1 Arrays (One-dimensional, Multi-dimensional)
  • 3.5.2 Strings (Manipulation, Common Operations)

3.6 Error Handling & Debugging

  • 3.6.1 Types of Errors (Syntax, Runtime, Logic)
  • 3.6.2 Exception Handling (try-catch)
  • 3.6.3 Debugging Techniques and Tools

4.0 Data Structures Algorithms (DSA)

4.1 Data Structures

  • 4.1.1 Linear Data Structures:
    • 4.1.1.1 Arrays (Fixed-size, Dynamic Arrays)
    • 4.1.1.2 Linked Lists (Singly, Doubly, Circular)
    • 4.1.1.3 Stacks (LIFO)
    • 4.1.1.4 Queues (FIFO, Priority Queues)
  • 4.1.2 Non-Linear Data Structures:
    • 4.1.2.1 Trees (Binary Trees, Binary Search Trees, AVL Trees, Red-Black Trees)
    • 4.1.2.2 Graphs (Directed, Undirected, Weighted)
    • 4.1.2.3 Hash Tables (Hashing Functions, Collision Resolution)
    • 4.1.2.4 Heaps (Min-Heap, Max-Heap)






Consult the User's Guide for information on using the wiki software.

Getting started