Kode Mata KuliahII2211 / 3 SKS
Penyelenggara182 - Information System and Technology / STEI
KategoriLecture
Bahasa IndonesiaEnglish
Nama Mata KuliahProbabilitas dan StatistikProbability and Statistics
Bahan Kajian
  1. Pengantar probabilitas dan statistik, penerapannya di bidang komputasi, dan perbedaan antara probabilitas dan statistik
  2. Pengertian dasar: ruang sampel, kejadian, probabilitas, probabilitas bersyarat, aturan bayes
  3. Variabel dan distribusi acak kontinu dan diskret
  4. Ekspektasi, varians, hukum bilangan besar, teorema limit pusat
  5. Distribusi bersyarat
  6. Konsep dasar statistika: populasi, sampel, ukuran tendensi sentral, varians
  7. Data univariat: estimasi titik, interval kepercayaan
  8. Data multivariat: estimasi, korelasi, regresi
  9. Transformasi data: reduksi dan penghalusan dimensi
  10. Model statistik dan algoritma
  11. Pengujian hipotesis
  1. Introduction to probability and statistics, the applications to computing, and the difference between probability and statistics
  2. Basic notions: sample spaces, events, probability, conditional probability, Bayes’ rule
  3. Continuous and discrete random variables and distributions
  4. Expectation, variance, law of large numbers, and the central limit theorem
  5. Conditional distributions
  6. Basic concepts of statistics: population, samples, measures of central tendency, variance
  7. Univariate data: point estimation, confidence intervals
  8. Multivariate data: estimation, correlation, regression
  9. Data transformation: dimension reduction and smoothing
  10. Statistical models and algorithms
  11. Hypothesis testing
Capaian Pembelajaran Mata Kuliah (CPMK)
  1. Menjelaskan konsep probabilitas dan statistik
  2. Menjelaskan penggunaan konsep probabilitas dan statistik dalam bidang sistem dan teknologi informasi
  3. Menerapkan metode proses probabilistik dan statistik untuk menyelesaikan masalah komputasional
  1. Explain the concepts of probability and statistics
  2. Explain the use of probability and statistical concepts in the field of information systems and technology
  3. Apply probabilistic and statistical process methods to solve computational problems
Metode PembelajaranCeramah dan diskusiLectures and discussions
Modalitas PembelajaranVisual sinkronSynchronous visual
Jenis NilaiABCDE
Metode PenilaianUTS, UAS, dan KuisMid-term exam, final exam, and quizzes
Catatan Tambahan