Kurikulum 2024

Kode Mata KuliahWF5011 / 4 SKS
Penyelenggara236 - Aerospace Engineering / FTMD
KategoriLecture
Bahasa IndonesiaEnglish
Nama Mata KuliahPerancangan Eksperimen dan Analitika DataDesign of Experiment and Data Analytics
Bahan Kajian
  1. Analisis Data Eksplorasi
  2. Analysis of Variance (ANOVA)
  3. Blocking
  4. Desain Faktorial
  5. Eksperimen Komputer
  6. Metodologi Permukaan Respon
  7. Machine Learning: Metodologi Permukaan Respon & Regresi
  8. Machine Learning: Klasifikasi
  1. Exploratory Data Analysis
  2. Analysis of Variance (ANOVA)
  3. Blocking
  4. Factorial Design
  5. Computer Experiment
  6. Response Surface Methodologies
  7. Machine Learning: Response Surface Methodologies & Regression
  8. Machine Learning: Classification
Capaian Pembelajaran Mata Kuliah (CPMK)
  1. Memahami prinsip dasar dan mampu melakukan exploratory data analysis untuk cek karakteristik data
  2. Memahami prinsip-prinsip penting perancangan eksperimen, mencakup ANOVA, Blocking, dan Factorial Design, dan penerapannya.
  3. Memahami prinsip dasar dan teknik-teknik dasar computer experiment
  4. Memahami prinsip machine learning: response surface methodologies dan metode regresi, serta mampu membuat model regresi berdasarkan data
  1. Understand basic principles and be able to carry out exploratory data analysis to check data characteristics
  2. Understand the important principles of experimental design, including ANOVA, Blocking, and Factorial Design, and their applications.
  3. Understand the basic principles and basic techniques of computer experiments
  4. Understand machine learning principles: response surface methodologies and regression methods, and be able to create regression models based on data
Metode PembelajaranTatap muka di kelas, Praktikum menggunakan Python/R
Modalitas PembelajaranLuring, sinkron, Mandiri dan Kelompok
Jenis NilaiABCDE
Metode PenilaianUjian Tengah Semester, Ujian Akhir Semester, Tugas
Catatan Tambahan