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Libera Università di Bolzano

Big data e blockchain

Semestre 2 · 25418 · Corso di laurea magistrale in Accounting e Finanza · 3CFU · EN


The course focuses on:
- basic Python
- using an LLM for automatically writing Python programs
- major quantitative analysis of financial data
- Python representations of data to correct and improve LLM-generated Python scripts
- basic cryptocurrencies and blockchain technology

Docenti: Paolo Coletti

Ore didattica frontale: 24
Ore di laboratorio: -
Obbligo di frequenza: Regular attendance is suggested, but not required

Argomenti dell'insegnamento
- basic Python - using an LLM for automatically writing Python programs - major quantitative analysis of financial data - Python representations of data to correct and improve LLM-generated Python scripts - basic cryptocurrencies and blockchain technology

Modalità di insegnamento
3-4 hours on cryptocurrencies as a traditional frontal lecture with examples. 2 hours on basic Python as an exercise lesson with examples that students must replicate. Rest of the course on generating code with LLM as laboratory course, where each student experiments on her own computer the effects of commands given to the LLM.

Modalità d'esame
Acquired knowledge on blockchain and basic cryptocurrencies is evaluated through a written test. Acquired skills on the rest are tested through a practical exam on a real case.

Criteri di valutazione
15% of the grade comes from the written test. Particular emphasis is done on the explanation skills of the students and the knowledge of the topics. 85% of the grade come from the practical test. The outcome of this test depends on the obtained results and, in particular, on the methodology used and the ability of the student to choose the right tools and to check the partial results produced by the computer.

Bibliografia obbligatoria

Videos are provided for each lesson. No further reading is necessary.




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Obiettivi di sviluppo sostenibile
Questa attività didattica contribuisce al raggiungimento dei seguenti Obiettivi di Sviluppo sostenibile.

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