Pembelajaran Mesin dalam Teknik Biomedis
Kode Mata Kuliah
EB3204
Jumlah SKS
2
Semester
6
Jenis Mata Kuliah
C
Mata Kuliah Terkait
| No | Kode | Mata Kuliah | Relasi |
|---|---|---|---|
| 1 | EB3206 | Pengolahan Citra Biomedika | Ekuivalen |
Bahan Kajian
| Bahan Kajian | Kedalaman |
|---|---|
| Machine learning methods: basic concepts (types of machine learning systems, main challenges, development cycle), classification (binary classifier training, performance measures, multi-class/label/output classification, error analysis), linear and logistic regression, linear and non-linear SVMs, decision trees, ensemble learning (voting, bagging & boosting),random forest, dimensionality reduction (curse of dimensionality, main approaches, PCA), clustering (k-means, DBScan, GMM), biomedical examples | Expert |
| Experiment & survey design: interrelation between data quality, model quality, and model performance | Express |
| Machine learning model development: hands-on experience (feature extraction and visualization, feature preprocessing and selection) | Expert |
| Procedural testing & validation: hands-on experience (model training-testing-validation-evaluation) | Expert |
Capaian Pembelajaran Lulusan (CPL) yang diemban mata kuliah
| Kode CPMK | Unsur Capaian Pembelajaran Mata Kuliah (CPMK) |
|---|---|
| CPMK 1 | Menganalisis dan menginterpretasikan hasil pengukuran kinerja sebuah model pembelajaran mesin dengan tepat (IK 6.2, C4) |
| CPMK 2 | Mengimplementasikan model maupun prosedur pembelajaran mesin menggunakan fungsi-fungsi bawaan yang tersedia maupun fungsi baru yang dibuat sendiri (IK 7.2, P3) |
| CPMK 3 | Merancang, melatih, dan memvalidasi model pembelajaran mesin untuk data biomedis dengan metodologi yang tepat dan runtut (IK 8.3, C3) |
Metode Pembelajaran
- Kuliah dan diskusi kelas
Modalitas Pembelajaran
- Luring sinkron (dimungkinkan hybrid/daring)
Metode Penilaian
- Kuis atau Tugas, UTS, UAS