Teaching

CPU design, instruction sets, memory hierarchy, caching, pipelining, and the interface between hardware and low-level software.

1. Chapter 1 Digital Logic
2. Chapter 2 CPU Design

1 section · 39 students

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

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

1 section · 35 students

Arrays, linked lists, stacks, queues, trees, and hash tables — choosing and implementing the right structure for the problem.

1. Chapter 1 Arrays and Linked Lists
2. Chapter 2 Stacks and Queues

2 sections · 38 students

Search, knowledge representation, planning, reasoning under uncertainty, and an overview of learning-based approaches to intelligent behaviour.

1. Chapter 1 Search Algorithms
2. Chapter 2 Knowledge Representation

1 section · 22 students

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

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

1 section · 19 students

CPU design, instruction sets, memory hierarchy, caching, pipelining, and the interface between hardware and low-level software.

1. Chapter 1 Digital Logic
2. Chapter 2 CPU Design

1 section · 3 students

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

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

1 section · 2 students

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

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

1 section · 22 students

Search, knowledge representation, planning, reasoning under uncertainty, and an overview of learning-based approaches to intelligent behaviour.

1. Chapter 1 Search Algorithms
2. Chapter 2 Knowledge Representation

2 sections · 74 students

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

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

1 section · 20 students

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

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

2 sections · 63 students

Variables, control flow, functions, and I/O using a procedural language — building readable, maintainable programs from the ground up.

1. Chapter 1 Variables and Data Types
2. Chapter 2 Control Flow

1 section · 39 students

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

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

1 section · 46 students

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

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

2 sections · 47 students

Search, knowledge representation, planning, reasoning under uncertainty, and an overview of learning-based approaches to intelligent behaviour.

1. Chapter 1 Search Algorithms
2. Chapter 2 Knowledge Representation

3 sections · 62 students

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

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

1 section · 21 students

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

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

2 sections · 52 students

Variables, control flow, functions, and I/O using a procedural language — building readable, maintainable programs from the ground up.

1. Chapter 1 Variables and Data Types
2. Chapter 2 Control Flow

1 section · 33 students

Sorting, searching, recursion, graph algorithms, dynamic programming, greedy strategies, string matching, and the limits of efficient computation — reasoning rigorously about correctness and efficiency, in C.

1. Chapter 1 Complexity Analysis
2. Chapter 2 Sorting Algorithms

1 section · 21 students

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

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

1 section · 24 students

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

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

2 sections · 89 students

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

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

1 section · 44 students

Variables, control flow, functions, and I/O using a procedural language — building readable, maintainable programs from the ground up.

1. Chapter 1 Variables and Data Types
2. Chapter 2 Control Flow

2 sections · 47 students

CPU design, instruction sets, memory hierarchy, caching, pipelining, and the interface between hardware and low-level software.

1. Chapter 1 Digital Logic
2. Chapter 2 CPU Design

1 section · 38 students

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

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

1 section · 23 students

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

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

2 sections · 46 students

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

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

2 sections · 85 students