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Cryptoeconomics-Blockchain

BSc Blockchain, Crypto Economy, and NFTs Course Materials

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Language TeX
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Forks 0
Watchers 0
Open Issues 81
License MIT License
Created 2025-12-08
Last Updated 2026-03-28
Last Push 2026-03-28
Contributors 2
Default Branch master
Visibility private

Notebooks

This repository contains 10 notebook(s):

Notebook Language Type

| W01_First_Smart_Contract | PYTHON | jupyter |

| W02_Create_Your_Cryptocurrency | PYTHON | jupyter |

| W03_Mint_Your_First_NFT | PYTHON | jupyter |

| W04_Create_Your_DAO | PYTHON | jupyter |

| 01_token_economy | PYTHON | jupyter |

| 02_nft_platform | PYTHON | jupyter |

| 03_defi_protocol | PYTHON | jupyter |

| 04_supply_chain | PYTHON | jupyter |

| 05_first_contract | PYTHON | jupyter |

| 06_create_crypto | PYTHON | jupyter |

Datasets

This repository includes 81 dataset(s):

Dataset Format Size

| .pdf_hashes.json | .json | 29.47 KB |

| LESSON_INVENTORY.json | .json | 121.65 KB |

| manifest.json | .json | 4.5 KB |

| manifest.json | .json | 2.21 KB |

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| manifest.json | .json | 1.43 KB |

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| manifest.json | .json | 1.83 KB |

| manifest.json | .json | 1.87 KB |

| OVERLAP_MATRIX.csv | .csv | 29.41 KB |

| PROBLEM_BASED_CURRICULUM.json | .json | 245.97 KB |

| chart_density_audit.json | .json | 10.15 KB |

| claim_sources_report.json | .json | 2194.33 KB |

| content_verification_report.json | .json | 1343.7 KB |

| DISCOVERY_HANDOUTS.json | .json | 236.78 KB |

| fix_L01_bitcoin_daily_volume.json | .json | 0.69 KB |

| fix_L01_defi_tvl.json | .json | 0.64 KB |

| fix_L01_hash_rate.json | .json | 0.73 KB |

| fix_L01_rwa_tokenized.json | .json | 0.67 KB |

| fix_L01_stablecoin_circulation.json | .json | 0.71 KB |

| fix_L02_ethereum_node_storage.json | .json | 0.73 KB |

| fix_L03_hash_rate.json | .json | 0.88 KB |

| fix_L03_merkle_year.json | .json | 0.81 KB |

| fix_L07_hash_rate.json | .json | 0.77 KB |

| fix_L39_do_kwon_sentencing.json | .json | 0.82 KB |

| fix_L42_mango_arrest_date.json | .json | 0.9 KB |

| github_pages_link_report.json | .json | 108.77 KB |

| hallucination_report.json | .json | 2.39 KB |

| integration_report.json | .json | 8.06 KB |

| link_check_full_report.json | .json | 0.59 KB |

| link_check_report.json | .json | 14.32 KB |

| link_check_results.json | .json | 1.7 KB |

| market_verification_report.json | .json | 6.68 KB |

| .sync_state.json | .json | 0.25 KB |

| page_inventory.json | .json | 3.97 KB |

| pedagogical_analysis_report.json | .json | 1088.31 KB |

| pedagogical_lectures_report.json | .json | 74.7 KB |

| slide_duplicates.json | .json | 34.59 KB |

| slide_inventory.json | .json | 101.21 KB |

| stats.json | .json | 17.34 KB |

| w03-example-metadata.json | .json | 0.54 KB |

Reproducibility

No specific reproducibility files found.

Status

  • Issues: Enabled
  • Wiki: Enabled
  • Pages: Enabled

README

BSc Blockchain, Crypto Economy & NFTs

A comprehensive course covering blockchain technology, cryptocurrency economics, and non-fungible tokens (NFTs) for Bachelor of Science students.

Course Overview

This 12-week course (49 lessons + 2 workshops, 6 ECTS credits) provides both theoretical understanding and practical skills in distributed ledger technology, smart contracts, decentralized finance (DeFi), and digital asset management. Students engage in hands-on laboratory exercises and complete a semester-long project applying blockchain concepts to real-world scenarios.

Key Learning Objectives

  • Understand blockchain fundamentals, consensus mechanisms, and cryptographic principles
  • Develop and deploy smart contracts using Solidity
  • Analyze token economics and DeFi protocols
  • Evaluate NFT technology and digital asset markets
  • Assess regulatory frameworks and security considerations
  • Design blockchain-based solutions for business problems

Repository Structure

Modules (7 + Workshops, 49 lessons)

Module_A_Blockchain_Foundations/     (13 lessons, includes L02a/L02b split)
  - Blockchain basics, hash functions, cryptography
  - Bitcoin protocol, consensus mechanisms
  - Scalability trilemma

Module_B_Ethereum_Smart_Contracts/   (8 lessons)
  - Ethereum architecture, EVM, gas mechanics
  - Solidity programming
  - Token standards (ERC20, ERC721, ERC1155)

Module_C_NFTs_Digital_Assets/        (8 lessons)
  - NFT technology, metadata, IPFS
  - NFT marketplaces and applications
  - Digital art, gaming, real-world asset tokenization

Module_D_Tokenomics/                 (4 lessons)
  - Token economics fundamentals
  - Distribution models, vesting schedules
  - Token classification and valuation

Module_E_DeFi_Ecosystem/             (8 lessons)
  - Decentralized finance overview
  - Automated market makers (Uniswap)
  - Lending protocols, stablecoins
  - Case study: Terra/Luna collapse

Module_F_Advanced_Topics/            (4 lessons)
  - Layer 2 scaling solutions
  - Flash loans and composability
  - Smart contract security

Module_G_Regulation_Future/          (4 lessons)
  - Global regulatory landscape
  - Swiss FINMA and EU MiCA frameworks
  - CBDCs and future trends

Supporting Materials

assessments/
  projects/     - Semester project specifications (4 tracks)
  quizzes/      - 5 quizzes covering course material
  rubrics/      - Grading criteria for all assessments

labs/           - 12 hands-on laboratory exercises

charts/         - Visualizations and diagrams

Quick Navigation

Essential Documents

  • SYLLABUS.md - Complete course syllabus with schedule, assessment structure, and policies
  • PROGRESS_TRACKER.md - Development status for all 48 lessons and materials

Course Schedule (12 Weeks)

Week Module Topics Lab
1 A What is Blockchain, DLT, Hash Functions Hash Experiments
2 A Cryptography, Bitcoin, Proof of Work Wallet Setup
3 A Proof of Stake, Consensus, Scalability Block Explorer
4 B Ethereum, EVM, Gas, Solidity Contract Interaction
5 B ERC20, ERC721/1155, Token Lifecycle Token Deployment
6 C NFT Technology, Metadata, Marketplaces OpenSea Analysis
7 C Digital Art, Gaming, RWA Tokenization NFT Valuation
8 D Token Economics, Distribution, Valuation Tokenomics Analysis
9 E DeFi Intro, AMMs, Uniswap Testnet Swap
10 E Lending, Stablecoins, Terra/Luna Testnet Lending
11 F Layer 2, Flash Loans, Security Security Audit
12 G Regulation, FINMA/MiCA, CBDCs Course Synthesis

Assessment Structure

Grade Breakdown

  • Semester Project: 70%
  • Quizzes: 10% (5 quizzes)
  • Laboratory Exercises: 15% (best 10 of 12)
  • Class Participation: 5%

Project Tracks (Choose 1)

  1. Token Economy Design - Design and implement a complete tokenomics model
  2. NFT Platform Development - Deploy NFT collection with utility features
  3. DeFi Protocol Analysis - Deep analysis and simulation of DeFi protocol
  4. Supply Chain Solution - Blockchain-based supply chain tracking system

Prerequisites

Knowledge Prerequisites

  • Basic programming knowledge (Python or similar)
  • Understanding of basic economic principles
  • Familiarity with web technologies (helpful but not required)

Required Tools

  • Cryptocurrency Wallet: MetaMask (browser extension)
  • Development Environment: Remix IDE, Hardhat or Foundry, VS Code
  • Blockchain Explorers: Etherscan, Blockchain.com
  • Testnet Access: Sepolia/Goerli ETH faucets
  • Data Analysis: Python (pandas, web3.py, matplotlib)

How to Use This Repository

For Instructors

  1. Review the syllabus - SYLLABUS.md contains complete course structure
  2. Check lesson materials - Navigate to individual lesson folders for slides and charts
  3. Prepare labs - Review lab guides in the labs/ directory
  4. Customize assessments - Adapt project specifications and quizzes in assessments/
  5. Track progress - Use PROGRESS_TRACKER.md to monitor development

For Students

  1. Follow the weekly schedule - See syllabus for lesson sequence
  2. Complete labs on time - 12 hands-on exercises throughout the semester
  3. Prepare for quizzes - 5 quizzes covering 2-week blocks
  4. Choose project track early - Team formation by Week 3
  5. Use testnet only - Never use real cryptocurrency for exercises

For Content Developers

  1. Check PROGRESS_TRACKER.md - See which lessons need development
  2. Follow naming conventions - Use YYYYMMDD_HHMM_ prefix for .tex files
  3. Use Python for charts - No TikZ; standalone Python scripts in chart folders
  4. Update tracking files - Mark lessons as complete in PROGRESS_TRACKER.md
  5. Compile and verify PDFs - Ensure all materials render correctly

Technical Specifications

Slide Format

  • Framework: LaTeX Beamer
  • Theme: Madrid
  • Font Size: 8pt
  • Aspect Ratio: 16:9
  • Template: template_beamer_final.tex

Chart Generation

  • Language: Python (matplotlib, seaborn)
  • Format: PDF output
  • Organization: One folder per chart with script and output
  • Naming: Content-based names (e.g., bitcoin_network_growth/)

File Versioning

  • All .tex files prefixed with timestamp: YYYYMMDD_HHMM_filename.tex
  • Previous versions stored in previous/ subdirectories
  • PDFs compiled with full output path logging

Development Status

Current Progress (as of 2026-01)

Category Completed Total Progress
Lessons 49 49 100%
Workshops 2 2 100%
Lab Guides 11 11 100%
Charts 275 275 100%
Quizzes 6 6 100%
Assessments Complete - 100%

Latest Updates: - All 49 lesson slides created and compiled to PDF (L02 split into L02a/L02b) - All 11 lab guides completed - 275 visualization charts (263 lesson-specific + 12 shared) - 6 quizzes with answer keys - Project guide with 4 tracks, grading rubrics, milestone templates - GitHub Pages with lesson completion tracking and progress bars - GitHub Pages deployed at https://digital-ai-finance.github.io/Cryptoeconomics-Blockchain/

See PROGRESS_TRACKER.md for detailed status.

Course Policies

Academic Integrity

  • All work must be original with proper attribution
  • AI tool usage (ChatGPT, Copilot) must be disclosed
  • Plagiarism results in automatic course failure

Safety & Security

  • NEVER use real cryptocurrency for learning exercises
  • Always use testnets (Sepolia, Goerli)
  • Never share private keys or seed phrases
  • Be cautious of phishing attempts

Collaboration

  • Labs: Individual work, discussion permitted
  • Quizzes: Individual work, no collaboration
  • Project: Team collaboration expected, individual contributions documented

Resources

Required Readings

  • Antonopoulos, A. M. (2017). Mastering Bitcoin (2nd ed.)
  • Antonopoulos, A. M., & Wood, G. (2018). Mastering Ethereum
  • Selected academic papers (provided weekly)
  • Ethereum.org documentation
  • Solidity documentation
  • DeFi Llama (protocol analytics)
  • OpenZeppelin (smart contract library)

Community & Support

  • Course discussion forum (link TBD)
  • Office hours (schedule TBD)
  • Teaching assistant lab hours (schedule TBD)

Contact Information

Instructor: Dr. Jane Smith Email: jane.smith@university.edu Office: Building A, Room 301 Office Hours: Mondays & Wednesdays, 2-4 PM

Teaching Assistant: John Doe Email: john.doe@university.edu Lab Hours: Tuesdays 10-12 PM, Thursdays 3-5 PM

License & Disclaimer

This course is for educational purposes only. Nothing in this course constitutes financial or investment advice. Cryptocurrency and blockchain technologies involve significant risks. Students are responsible for complying with all applicable laws and regulations in their jurisdiction.

Course ID: CS-401 Department: Computer Science Institution: University Name Last Updated: January 5, 2026 Version: 1.2

Description

BSc Blockchain, Crypto Economy, and NFTs Course Materials

Installation

git clone https://github.com/Digital-AI-Finance/Cryptoeconomics-Blockchain.git
cd decentralized-finance
pip install -r requirements.txt

Usage

See the repository contents for usage examples.

(c) Joerg Osterrieder 2025