| Kode Mata Kuliah | AE5090 / 4 SKS |
|---|
| Penyelenggara | 236 - Teknik Dirgantara / FTMD |
|---|
| Kategori | Kuliah |
|---|
| Bahasa Indonesia | English |
|---|
| Nama Mata Kuliah | Perancangan Eksperimen dan Analitika Data | Design of Experiment and Data Analytics |
|---|
| Bahan Kajian | - Analisis Data Eksplorasi
- Analysis of Variance (ANOVA)
- Blocking
- Desain Faktorial
- Eksperimen Komputer
- Metodologi Permukaan Respon
- Machine Learning: Metodologi Permukaan Respon & Regresi
- Machine Learning: Klasifikasi
| - Exploratory Data Analysis
- Analysis of Variance (ANOVA)
- Blocking
- Factorial Design
- Computer Experiment
- Response Surface Methodologies
- Machine Learning: Response Surface Methodologies & Regression
- Machine Learning: Classification
|
|---|
| Capaian Pembelajaran Mata Kuliah (CPMK) | - Memahami prinsip dasar dan mampu melakukan exploratory data analysis untuk cek karakteristik data
- Memahami prinsip-prinsip penting perancangan eksperimen, mencakup ANOVA, Blocking, dan Factorial Design, dan penerapannya.
- Memahami prinsip dasar dan teknik-teknik dasar computer experiment
- Memahami prinsip machine learning: response surface methodologies dan metode regresi, serta mampu membuat model regresi berdasarkan data
| - Understand basic principles and be able to carry out exploratory data analysis to check data characteristics
- Understand the important principles of experimental design, including ANOVA, Blocking, and Factorial Design, and their applications.
- Understand the basic principles and basic techniques of computer experiments
- Understand machine learning principles: response surface methodologies and regression methods, and be able to create regression models based on data
|
|---|
| Metode Pembelajaran | Tatap muka di kelas, Praktikum menggunakan Python/R | |
|---|
| Modalitas Pembelajaran | Luring, sinkron, Mandiri dan Kelompok | |
|---|
| Jenis Nilai | ABCDE |
|---|
| Metode Penilaian | Ujian Tengah Semester, Ujian Akhir Semester, Tugas | |
|---|
| Catatan Tambahan | | |
|---|