Mata Kuliah WF3102 - 2024

Kode Mata KuliahWF3102 / 2 SKS
Penyelenggara131 - Teknik Mesin / FTMD
KategoriKuliah
Bahasa IndonesiaEnglish
Nama Mata KuliahStatistikaStatistics
Bahan Kajian
  1. Variabel acak (random variables)
  2. Angka harapan (expected value)
  3. Distribusi peluang variabel kontinyu
  4. Distribusi peluang variable diskrit
  5. Statistical inference: Estimasi parameter
  6. Statistical inference: Uji hipotesis
  7. Design of Experiment: ANOVA
  8. Metode regresi
  9. Metode klasifikasi
  1. Random Variables
  2. Expected Value
  3. Probability Distribution of Continuous Variables
  4. Probability Distribution of Discrete Variables
  5. Probability Distribution of Discrete Variables
  6. Statistical Inference: Hypothesis Testing
  7. Design of Experiments: ANOVA
  8. Regression Methods
  9. Classification Methods
Capaian Pembelajaran Mata Kuliah (CPMK)
  1. Mahasiswa dapat menghitung peluang suatu kejadian berdasarkan konsep probabilitas dan dapat menentukan angka harapan.
  2. Mahasiswa dapat membuat distribusi peluang berdasarkan informasi yang diberikan
  3. Mahasiswa dapat menghitung estimasi parameter suatu populasi.
  4. Mahasiswa dapat melakukan pengujian hipotesis statistik untuk berbagai kasus
  5. Mahasiswa dapat melakukan uji ANOVA untuk berbagai kasus.
  6. Mahasiswa memahami prinsip regresi dan klasifikasi, serta dapat membuat model regresi dan klasifikasi berdasarkan data yang diberikan.
  1. Students are able to calculate the probability of an event based on probability concepts and determine the expected value.
  2. Students are able to construct probability distributions based on the given information.
  3. Students are able to estimate population parameters.
  4. Students are able to perform statistical hypothesis testing for various cases.
  5. Students are able to conduct ANOVA (Analysis of Variance) tests for various cases.
  6. Students understand the principles of regression and classification, and are able to build regression and classification models based on the given data.
Metode PembelajaranTatap muka di kelas. Penggunaan perangkat lunak (Python/R)Face-to-face class and software application (MATLAB/Python)
Modalitas PembelajaranLuring, sinkron, mandiri, kelompokOffline, synchronous, independent and group discussion
Jenis NilaiABCDE
Metode PenilaianUjian Tengah Semester Ujian Akhir Semester Praktikum TugasMidterm exam, Final exam, practiccum, Assignment
Catatan Tambahan