Course Description

Course Title

Blockchain: A Skeptic's Guide to Trust Technologies

Course Description

This course provides a comprehensive, balanced examination of blockchain and related trust technologies from a critical, evidence-based perspective. Students will explore the fundamental problems of building trust across networks, understand the full spectrum of non-repudiation technologies (from traditional certificate authority systems to distributed ledger technologies), and develop the analytical skills needed to evaluate when blockchain is — and is not — the right architectural choice.

The course emphasizes real-world cost analysis, architecture tradeoff methods, and practical decision-making frameworks. Through interactive simulations, case studies, and hands-on exercises, students will learn to cut through hype and cognitive bias to make informed technology decisions grounded in business value.

Target Audience

Business professionals, software architects, technology managers, and technical decision-makers — both technical and non-technical — who need to evaluate blockchain and trust technologies for their organizations. No prior blockchain experience is required, but familiarity with basic networking and security concepts is helpful.

Prerequisites

• Basic understanding of computer networks and the internet
• Familiarity with fundamental security concepts (encryption, authentication)
• General awareness of business requirements analysis
• No programming experience required

Course Duration

Approximately 40 hours of content across 20 chapters, including interactive simulations, case studies, and exercises.

Course Format

This is a self-paced intelligent textbook featuring:

1. Detailed chapter content with clear explanations and visual aids
2. Interactive infographics that allow students to explore concepts dynamically
3. Interactive micro-simulations that model costs, performance, and network behavior
4. Real-world case studies of both certificate authority and blockchain deployments
5. Cognitive bias analysis examining how psychological factors influence technology decisions

Key Topics

1. Trust in Digital Networks — The fundamental problem of establishing trust between parties who do not know each other across networks
2. Non-Repudiation Technologies — Digital signatures, certificates, and the scope of technologies that prevent denial of transactions
3. Certificate Authorities (CAs) — How public-private key infrastructure works, the role of certificate authorities, and their vulnerabilities
4. Distributed Ledger Technologies (DLT) — General principles of distributed ledgers, consensus mechanisms, and data replication
5. Blockchain Fundamentals — Hash chains, blocks, mining, proof of work, proof of stake, and other consensus algorithms
6. Network and Computational Costs — Quantitative analysis of the real costs of running blockchain networks vs. traditional approaches
7. Architecture Tradeoff Analysis Method (ATAM) — Systematic methods for comparing architectural approaches using utility trees and quality attribute scenarios
8. Cognitive Bias in Technology Decisions — How confirmation bias, sunk cost fallacy, bandwagon effects, and other biases distort technology evaluation
9. Industry Case Studies — Real-world deployments in e-commerce, healthcare, supply chain, retail, and financial services
10. Cost Simulation and Modeling — Building and interpreting simulations that project the total cost of ownership for trust architectures
11. Risk Analysis and Mitigation — Identifying architectural risks, sensitivity points, and tradeoffs using structured methods
12. Utility Trees and Decision Frameworks — Visual tools for mapping business requirements to architectural qualities and comparing alternatives objectively
13. Smart Contracts — Capabilities, limitations, and security considerations of programmable blockchain logic
14. Emerging Alternatives — Zero-knowledge proofs, verifiable credentials, decentralized identifiers (DIDs), and post-blockchain trust technologies
15. Making the Decision — A structured process for recommending the right trust architecture for a given business context

Learning Outcomes

Upon successful completion of this course, students will be able to:

1. Explain the fundamental problem of trust in digital networks
2. Compare and contrast certificate authority and blockchain approaches to non-repudiation
3. Analyze the computational and network costs of blockchain deployments
4. Apply the Architecture Tradeoff Analysis Method (ATAM) to evaluate trust technologies
5. Identify cognitive biases that influence technology adoption decisions
6. Build and interpret cost simulations for trust network architectures
7. Construct utility trees that map business requirements to architectural qualities
8. Recommend appropriate trust technologies based on evidence and structured analysis

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Topics Not Covered

This course is designed for business professionals and technology decision-makers, not for software developers or cryptography researchers. The following topics are intentionally excluded because they require deep technical expertise that goes beyond what is needed to make sound business and architecture decisions.

Cryptography and Mathematics

• Elliptic curve cryptography (ECC) mathematics — The algebraic geometry underlying modern key generation (finite fields, curve equations, point multiplication)
• SHA-256 and hash function internals — Bit-level operations, Merkle-Damgård construction, compression functions, and collision resistance proofs
• Formal security proofs — Mathematical proofs of cryptographic protocol security (random oracle model, game-based reductions)
• Number theory foundations — Prime factorization, discrete logarithm problems, and modular arithmetic that underpin RSA and Diffie-Hellman
• Zero-knowledge proof construction — The mathematical frameworks (zk-SNARKs, zk-STARKs, Bulletproofs) and circuit design required to build zero-knowledge systems

Software Development and Programming

• Smart contract programming — Writing Solidity, Vyper, Rust (for Solana), or other blockchain-specific programming languages
• Blockchain node implementation — Setting up, configuring, and operating full nodes or validator infrastructure
• DApp (decentralized application) development — Frontend and backend development for blockchain-based applications
• Smart contract security auditing — Code-level vulnerability analysis (reentrancy attacks, integer overflow, gas optimization)
• Consensus algorithm implementation — The low-level distributed systems code that implements BFT, PBFT, Raft, or Nakamoto consensus
• Blockchain API and SDK integration — Using Web3.js, ethers.js, or platform-specific SDKs to interact with blockchain networks programmatically

Network Engineering and Infrastructure

• Peer-to-peer networking protocols — Gossip protocols, Kademlia DHT, libp2p, and the network layer details of how nodes discover and communicate with each other
• Transaction pool (mempool) management — How unconfirmed transactions are prioritized, propagated, and selected for inclusion in blocks
• Blockchain database internals — Patricia Merkle tries, LevelDB storage engines, state pruning, and chain data management
• Network partitioning and fork resolution — The technical details of how networks detect and resolve chain splits at the protocol level
• Infrastructure hardening — Server security, key management hardware (HSMs), and operational security for running production blockchain nodes

Financial Engineering and Tokenomics

• Token economic modeling — Designing token supply curves, staking reward calculations, inflation schedules, and bonding curves
• DeFi protocol mechanics — Automated market makers (AMMs), liquidity pools, yield farming strategies, and flash loan mechanics
• MEV (Maximal Extractable Value) — Front-running, sandwich attacks, and the technical details of transaction ordering exploitation
• Layer 2 protocol design — The technical implementation of rollups (optimistic and zk), state channels, plasma chains, and sidechains
• Cryptocurrency trading and portfolio management — This is not an investment course; we do not cover trading strategies, market analysis, or cryptocurrency speculation

Regulatory and Legal Details

• Jurisdiction-specific legal analysis — Detailed securities law interpretations, money transmitter licensing requirements, or tax treatment across specific countries
• Legal drafting for DAOs — Writing governance frameworks, legal wrappers, or smart contract terms of service
• Compliance implementation — Technical details of implementing KYC/AML systems, transaction monitoring, or regulatory reporting infrastructure

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Bloom's Taxonomy Learning Objectives

Level 1: Remember

Students will be able to:

1. Define key terms including blockchain, distributed ledger, hash chain, consensus mechanism, certificate authority, public key, private key, digital signature, and non-repudiation
2. List the major components of a blockchain network (nodes, blocks, miners/validators, consensus protocol, ledger)
3. Identify the differences between proof of work, proof of stake, and other consensus mechanisms
4. Recall the role of certificate authorities in public key infrastructure (PKI)
5. Name common cognitive biases that affect technology decision-making (confirmation bias, sunk cost fallacy, bandwagon effect, appeal to novelty)

Level 2: Understand

Students will be able to:

1. Explain how hash functions create tamper-evident chains of blocks
2. Describe the process by which a distributed ledger achieves consensus across untrusted nodes
3. Summarize the vulnerabilities of certificate authority systems, including CA compromise scenarios
4. Interpret cost simulation outputs showing computational overhead, energy consumption, and network latency for different trust architectures
5. Paraphrase the Architecture Tradeoff Analysis Method (ATAM) and its key activities (scenario generation, utility tree construction, risk identification)
6. Classify trust technologies by their underlying mechanisms (centralized authority, distributed consensus, zero-knowledge proof)

Level 3: Apply

Students will be able to:

1. Calculate the approximate computational and network costs for a blockchain deployment given transaction volume and node count
2. Use interactive micro-simulations to model cost and performance tradeoffs between CA-based and blockchain-based trust systems
3. Demonstrate how to create a digital signature using public-private key cryptography
4. Implement a basic utility tree for a trust architecture decision, mapping business requirements to quality attributes
5. Apply cognitive bias checklists to real-world technology evaluation scenarios to identify flawed reasoning

Level 4: Analyze

Students will be able to:

1. Compare the total cost of ownership for certificate authority infrastructure vs. blockchain infrastructure across different transaction volumes and participant counts
2. Differentiate between scenarios where blockchain provides genuine value and scenarios where simpler technologies suffice
3. Examine real-world case studies to identify the factors that led to successful adoption or project failure
4. Deconstruct marketing claims about blockchain capabilities, separating technical facts from hype
5. Analyze the political and organizational challenges of establishing and maintaining distributed ledger consortiums
6. Investigate how cognitive biases influenced specific blockchain adoption decisions in documented case studies

Level 5: Evaluate

Students will be able to:

1. Assess the suitability of blockchain vs. alternative trust technologies for a given set of business requirements using ATAM
2. Critique published blockchain proposals by identifying unstated assumptions, missing cost analyses, and overlooked risks
3. Judge the maturity and readiness of emerging trust technologies (DIDs, verifiable credentials, zero-knowledge proofs) for production deployment
4. Appraise the risk profile of different trust architectures by constructing and interpreting risk themes and sensitivity points
5. Defend or challenge a technology recommendation using evidence from cost simulations, case studies, and structured analysis

Level 6: Create

Students will be able to:

1. Design a complete trust architecture recommendation for a real-world scenario, including technology selection, cost projections, risk mitigation strategies, and an implementation roadmap
2. Construct a comprehensive utility tree for a multi-stakeholder trust network, balancing competing quality attributes (security, performance, cost, scalability, maintainability)
3. Develop a cost simulation model that projects total cost of ownership over 5 years for competing trust architectures
4. Formulate a decision framework that an organization can reuse to evaluate future trust technology proposals
5. Compose an architecture tradeoff analysis report that presents findings to both technical and non-technical stakeholders with clear visualizations and actionable recommendations
6. Propose a hybrid trust architecture that combines elements of CA-based and distributed approaches to optimize for a specific set of business constraints