Sapienza University of Rome

🎓 Master in Data Science

• Study plan (official): https://corsidilaurea.uniroma1.it/it/course/33519/study-plan?year=2024&code=32344

Registered Exams (Infostud extract)

library(tibble)

# Dati presi da Infostud (Esami registrati finora)
df_sapienza <- tibble::tribble(
 ~exam,                                                   ~cfu, ~grade,
 "Statistical Methods in Data Science and Lab",             12,     30,
 "Statistical Learning",                                     6,     30,
 "Data Driven Economics",                                    6,     27,
 "Fundamentals of Data Science and Lab",                     9,     27,
 "Algorithmic Methods of Data Mining and Lab",               9,     28
)

media_aritmetica <- mean(df_sapienza$grade)
cat(sprintf("• Media aritmetica: %.1f/30\n", media_aritmetica))

• Media aritmetica: 28.4/30

media_ponderata  <- stats::weighted.mean(df_sapienza$grade, w = df_sapienza$cfu)
cat(sprintf("• Media ponderata (per CFU): %.1f/30\n", media_ponderata))

• Media ponderata (per CFU): 28.5/30

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