All pages

0.0.0 About this Wiki
1.1.1 Definition and Scope
1.1.2 Problem-Solving Focus
1.1.3 Interdisciplinary Nature
1.2.1 Early Calculating Devices (Abacus, Pascaline, Leibniz Wheel)
1.2.2 Analytical Engine (Babbage & Lovelace)
1.2.3 Alan Turing: The Brilliant Mind Who Shaped Our Digital World
1.2.3 Early Electronic Computers (ENIAC, UNIVAC)
1.2.5 Transistors & Integrated Circuits
1.2.6 Personal Computers & the Internet
1.3.1 Ada Lovelace, Alan Turing, Grace Hopper, Dennis Ritchie, Linus Torvalds, etc.
1.4.1 Theoretical CS, Algorithms, Data Structures, AI, ML, Cybersecurity, Networking, etc.
1.5 How a Computer Works
10.0 Artificial Intelligence (AI) & Machine Learning
10.1.1. Phases (Requirements, Design, Implementation, Testing, Deployment, Maintenance)
10.1.2 Applications of AI
10.1 Introduction to AI
10.1 Software Development Life Cycle (SDLC)
10.2.1 Supervised Learning (Regression, Classification)
10.2.2 Unsupervised Learning (Clustering, Dimensionality Reduction)
10.2.3 Reinforcement Learning
10.2 Types of Machine Learning
10.3.1 Linear Regression, Logistic Regression
10.3.2 Decision Trees, Random Forests
10.3.3 Support Vector Machines (SVM)
10.3.4 K-Means Clustering
10.3 Common ML Algorithms
10.4.1 Perceptrons, Layers
10.4.2 Activation Functions
10.4.3 Backpropagation (High-level)
10.4.4 Convolutional Neural Networks (CNNs)
10.4.5 Recurrent Neural Networks (RNNs)
10.4 Neural Networks & Deep Learning (Basic Concepts)
10.5.1 Basic tasks and applications
10.5.2.1 Generative Pre-trained Transformers (GPT)
10.5.2 Large Language Models (LLMs)
10.5 Natural Language Processing (NLP) / Computer Vision (CV)
13.5 Ethical AI & Societal Impact
16.61 Harvard CS50 (2023) Full Computer Science University Course
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)
2.2.1 AND, OR, NOT, XOR, NAND, NOR gates
2.2.2 Truth Tables
2.2.3 Boolean Expressions & Simplification
2.3.1 Definition of an Algorithm
2.3.2 Characteristics of Good Algorithms
2.3.3 Representing Algorithms (Flowcharts, Pseudocode)
2.4.1 Decomposition
2.4.2 Pattern Recognition
2.4.3 Abstraction
2.4.4 Algorithms
3.0 Programming Fundamentals
3.1.1 Procedural Programming
3.1.2 Object-Oriented Programming (OOP) - Basic Concepts
3.1.3 Functional Programming (Basic Concepts)
3.1 Programming Paradigms
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
3.2 Data Types & Variables
3.3.2 Looping Constructs (for, while, do-while)
3.3 Control Structures
3.4.1 Definition and Purpose
3.4.2 Parameters and Return Values
3.4.3 Scope
3.4 Functions/Methods
3.5.1 Arrays (One-dimensional, Multi-dimensional)
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)
4.1.1.2 Linked Lists (Singly, Doubly, Circular)
4.1.1.3 Stacks (LIFO)
4.1.1.4 Queues (FIFO, Priority Queues)
4.1.1 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)
4.1.2 Non-Linear Data Structures
4.1 Data Structures
4.2.1.1 Bubble Sort, Selection Sort, Insertion Sort
4.2.1.2 Merge Sort, Quick Sort (Divide and Conquer)
4.2.1.3 Heap Sort, Radix Sort
4.2.1 Sorting Algorithms
4.2.2.1 Linear Search
4.2.2.2 Binary Search
4.2.2 Searching Algorithms
4.2.3.1 Breadth-First Search (BFS)
4.2.3 Graph Algorithms
4.2 Algorithms
5.0 Computer Architecture & Organization
5.1.1 Arithmetic Logic Unit (ALU)
5.1.2 Control Unit (CU)
5.1.3 Registers
5.1.4 Instruction Cycle (Fetch, Decode, Execute, Store)
5.1 CPU Components
5.2.1 Cache Memory (L1, L2, L3)
5.2.2 RAM (Random Access Memory)
5.2.3 ROM (Read-Only Memory)
5.2.4 Virtual Memory (Basic Concept)
5.2 Memory Hierarchy
5.3.1 I/O Devices and Controllers
5.3.2 Polling, Interrupts, DMA
5.3 Input/Output Systems
5.4.1 RISC vs. CISC
5.4 Instruction Sets
5.5 Assembly Language (Basic Concepts)
5.6 How a Computer Works
6.0 Operating Systems (OS)
6.1 Role and Functions of an OS
6.2.1 Processes vs. Threads
6.2.2 Process States
6.2.3 CPU Scheduling Algorithms (FCFS, SJF, Priority, Round Robin)
6.2.4 Inter-Process Communication (IPC)
6.2.5 Synchronization (Semaphores, Mutexes)
6.2 Process Management
6.3.1 Paging, Segmentation
6.3.2 Virtual Memory
6.3.3 Page Replacement Algorithms
6.3 Memory Management
6.4.1 File Organization, Directory Structures
6.4.2 File Allocation Methods
6.4 File Systems
6.5.1 Conditions for Deadlock
6.5.2 Deadlock Prevention, Avoidance, Detection, Recovery
6.5 Concurrency & Deadlock
7.0 Images & Graphics
7.0 Networking & Internet
7.1.1 OSI Model (7 Layers)
7.1.1 Pixels and Resolution
7.1.2 How Computers See Color (RGB, basic idea)
7.1.2 TCP/IP Model (4/5 Layers)
7.1 Network Models
7.1 What is a Digital Image?
7.2.1 HTTP/HTTPS, FTP, SMTP, POP3, IMAP
7.2.1 JPG (for photos)
7.2.2 PNG (for graphics, transparency)
7.2.2 TCP (Reliable, Connection-Oriented)
7.2.3 GIF (for simple animations, limited colors)
7.2.3 UDP (Unreliable, Connectionless)
7.2.4 IP (Internet Protocol)
7.2.5 DNS (Domain Name System)
7.2 Image File Formats
7.2 Protocols
7.3.1 Bus, Star, Ring, Mesh
7.3.1 Creating Images (drawing, 3D models - simple concepts)
7.3 Computer Graphics: Making Digital Art
7.3 Network Topologies
7.4.1 HTML, CSS, JavaScript (Client-side)
7.4.2 Web Servers, APIs
7.4 Web Technologies (Basic Overview)
9.0 Software Engineering
9.1.1. Phases (Requirements, Design, Implementation, Testing, Deployment, Maintenance)
9.1.2 Models (Waterfall, Iterative, Spiral)
9.1 Software Development Life Cycle (SDLC)
9.2.1 Scrum, Kanban
9.2.2 User Stories, Sprints
9.2 Agile Methodologies
9.3.1 Git (Basic Commands: clone, add, commit, push, pull, branch, merge)
9.3.2 GitHub/GitLab/Bitbucket (Remote Repositories)
9.3 Version Control
9.4.1 Unit Testing, Integration Testing, System Testing, Acceptance Testing
9.4.2 Test-Driven Development (TDD)
9.4 Software Testing
9.5.1 Creational (Singleton, Factory)
9.5.2 Structural (Adapter, Decorator)
9.5.3 Behavioral (Observer, Strategy) X. Artificial Intelligence (AI) & Machine Learning (ML)
9.5 Design Patterns
Basic Data Structures
Computational Thinking
Conditional Statements (if, else if, else, switch)
Error Handling & Debugging
Introduction to Computer Science
Main Page
Software Testing
Strings (Manipulation, Common Operations)

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