Log

The class log

1. 2/10/23. In which we introduce the course topics and teaching methodology

2. 5/10/23. In which we introduce the DAE learning model (DAE Mod)

3. 6/10/23. In which we demo the DAE APP and we start learning the blockchain technology

4. 9/10/23. In which we go on learning the blockchain technology

5. 12/10/23. In which we review the major blockchains Bitcoin and Ethereum and the halving of Bitcoin

6. 13/10/23. In which we learn about gas and gas fees on Ethereum and we investigate the energy consumption and carbon intensity of proof-of-work blockchains

7. 16/10/23. In which we review the many possibilities of crypto crime and the low relative significance of the phenomenon

8. 19/10/23. In which we study the concept of crypto wallet and demo Metamask and Kukai wallets

9. 20/10/23. In which we review the different token types (fungible, non-fungible, soulbound) that live on a blockchain

10. 23/10/23. In which we go deeper into the notion of token and their application

11. 26/10/23. In which we cover a couple of applications of fungible tokens, namely stablecoins and cryptocurrency exchanges

12. 27/10/23. In which we study the concepts of CBDC, digital identity as well as of smart contract

13. 30/10/23. In which we introduce online voting methods and quadratic voting

14. 02/11/23. In which we discuss quadratic funding and introduce the concept of DAOs

15. 03/11/23. In which we study zero-knowledge proofs, blockchain scalability and rollups

16. 06/11/2023. In which we review a complexity theory of generative art and study some general techniques to blend order and disorder in art

17. 09/11/2023. In which we see some early examples of generative artworks and how to code them in Processing and p5.js

18. 10/11/2023. In which we investigate modern forms of generative art

19. 13/11/2023. In which we investigate generative art projects that shaped the field

20. 16/11/2023. In which we review the basics of R

21. 17/11/2023. In which we review the package dplyr to transform and query data

22. 20/11/2023. In which we insist on the package dplyr

23. 23/11/2023. In which we review the package ggplot for visualizing data

24. 24/11/2023. In which we review the package modelr for modelling data and we make a data challenge on Elo method for ranking players

25. 27/11/2023. In which we demo life expectancy change over time

26. 30/11/2023. In which we host Roberto Ranon on generative art as a guest speaker

27. 01/12/2023. In which we introduce network science and review igraph package

28. 04/12/2023. In which we review tidygraph and ggraph packages

29. 07/12/2023. In which we review graph basics

30. 11/12/2023. In which we cover basic centrality measures like degree, closeness and betweenness

31. 14/12/2023. In which we investigate recursive centrality measures

32. 15/12/2023. In which we host Francesco Fabris on CBDC as a guest speaker

33. 18/12/2023. In which we cover signed network

34. 21/12/2023. In which we study similarity and heterogeneity

35. 22/12/2023. In which we investigate community detection

36. 08/01/2024. In which we investigate Network models, connectivity and resilience, and geodesic distances and small worlds

37. 11/01/2024. In which we study power laws and scale-free networks, assortativity, and motifs

38. 12/01/2024. In which we study epidemics on networks