| Bahan Kajian | - Pengantar probabilitas dan statistik, penerapannya di bidang komputasi, dan perbedaan antara probabilitas dan statistik
- Pengertian dasar: ruang sampel, kejadian, probabilitas, probabilitas bersyarat, aturan bayes
- Variabel dan distribusi acak kontinu dan diskret
- Ekspektasi, varians, hukum bilangan besar, teorema limit pusat
- Distribusi bersyarat
- Konsep dasar statistika: populasi, sampel, ukuran tendensi sentral, varians
- Data univariat: estimasi titik, interval kepercayaan
- Data multivariat: estimasi, korelasi, regresi
- Transformasi data: reduksi dan penghalusan dimensi
- Model statistik dan algoritma
- Pengujian hipotesis
| - Introduction to probability and statistics, the applications to computing, and the difference between probability and statistics
- Basic notions: sample spaces, events, probability, conditional probability, Bayes’ rule
- Continuous and discrete random variables and distributions
- Expectation, variance, law of large numbers, and the central limit theorem
- Conditional distributions
- Basic concepts of statistics: population, samples, measures of central tendency, variance
- Univariate data: point estimation, confidence intervals
- Multivariate data: estimation, correlation, regression
- Data transformation: dimension reduction and smoothing
- Statistical models and algorithms
- Hypothesis testing
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