Module Artifacts — 7 items
Outlines the module's subject matter across three areas — foundational data structures (hash tables, trees, graphs), blockchain architecture (linked lists, cryptographic hashing, Merkle trees), and digital currency systems (wallets, UTXO model) — giving learners and instructors a structured overview of the topics to be studied.
A reading that introduces foundational data structures (such as arrays, linked lists, trees, and hash tables) and explains how they underpin real-world computing systems like social networks, file systems, and blockchains, serving as a conceptual starting point for learners entering the module.
A reading that explains how blockchain technology is constructed from linked lists, cryptographic hash functions, and Merkle trees to create a tamper-resistant distributed ledger, helping learners understand the computer science principles behind blockchain architecture.
A reading that covers how digital currencies like Bitcoin and Ethereum use data structures and cryptography to achieve decentralized, tamper-resistant transaction records, enabling learners to understand the technical foundations of cryptocurrency systems.
A reading that explains how social networks are modeled as graphs, covers key graph data structures and traversal algorithms, and shows how these are applied to real-world problems such as friend recommendations and network analysis.
A reading that examines how complex software systems combine multiple data structures together, explains the reasoning behind those design choices, and analyzes the trade-offs and consequences of good versus poor structural decisions, helping learners think holistically about system design.
A reading that examines how complex software systems combine multiple data structures together, explains the reasoning behind those design choices, and analyzes the trade-offs and consequences of good versus poor structural decisions, helping learners think holistically about system design.