Teaching

A proof-driven, implementation-focused study of algorithm design: correctness, complexity, searching, recursion, sorting, backtracking, dynamic programming, greedy methods, string matching, graph algorithms, network flow, and computational limits.

1. Chapter 1Correctness
2. Chapter 2Complexity

Intelligent agents, state-space search, constraint solving, optimization, adversarial reasoning, symbolic knowledge, uncertainty, Bayesian and fuzzy systems, generative models, and responsible AI.

1. Chapter 1Intelligent Agents
2. Chapter 2Uninformed Search

Decomposition, pattern recognition, abstraction, and algorithmic thinking as a foundation for programming and formal reasoning.

1. Chapter 1Introduction to Computational Thinking
2. Chapter 2Decomposition

A complete path from functional units and register-transfer design through instruction sets, arithmetic, control, memory, pipelines, I/O, DMA, and multiprocessor systems.

1. Chapter 1Computer Organization
2. Chapter 2Digital Components

The TCP/IP stack, routing, DNS, HTTP, TLS, and network programming — how data moves reliably across interconnected systems.

1. Chapter 1Network Models
2. Chapter 2IP and Routing

Threat modelling, common attack classes, cryptography, authentication, and defensive practices for building more secure systems.

1. Chapter 1Threat Modelling
2. Chapter 2Cryptography Basics

A representation-first study of arrays, linked lists, stacks, queues, graphs, trees, search trees, heaps, hash tables, and disjoint sets in C.

1. Chapter 1Arrays
2. Chapter 2Linked Lists

Relational models, SQL, normalisation, transactions, indexing, and an introduction to NoSQL — storing and querying structured data reliably.

1. Chapter 1The Relational Model
2. Chapter 2SQL Fundamentals

Requirements analysis, system modelling, architecture patterns, and evaluation — designing information systems that meet organisational needs.

1. Chapter 1Requirements Analysis
2. Chapter 2System Modelling

Supervised and unsupervised learning, model selection, regularisation, neural networks, and evaluation — building systems that learn from data.

1. Chapter 1Supervised Learning
2. Chapter 2Unsupervised Learning

Classes, objects, inheritance, polymorphism, and encapsulation — modelling real-world domains as cooperating objects.

1. Chapter 1Classes and Objects
2. Chapter 2Encapsulation

Processes, threads, scheduling, memory management, file systems, and synchronisation — how an OS manages hardware and isolates programs.

1. Chapter 1Processes and Threads
2. Chapter 2CPU Scheduling

A complete introduction to C17: program construction, expressions, control flow, functions, arrays, strings, pointers, memory, files, modularity, testing, and debugging.

1. Chapter 1Program Basics
2. Chapter 2Data Types

HTML, CSS, JavaScript, HTTP, and server-side fundamentals — building interactive, data-driven web applications from scratch.

1. Chapter 1HTML and CSS
2. Chapter 2JavaScript Fundamentals