Kode Mata KuliahIF5140 / 3 SKS
Penyelenggara235 - Informatika / STEI
KategoriKuliah
Bahasa IndonesiaEnglish
Nama Mata KuliahPembelajaran MesinMachine Learning
Bahan Kajian
  1. Introduction to Machine Learning
  2. Supervised Learning: regresi, klasifikasi
  3. Neural Networks
  4. Learning Theory
  5. Unsupervised Learning
  6. Reinforcement Learning
    Capaian Pembelajaran Mata Kuliah (CPMK)
    1. Mampu membangun model pembelajaran mesin dengan berbagai teknik supervised learning dan unsupervised learning, termasuk mempersiapkan data, melakukan pelatihan, dan pengujian.
    2. Mampu mengevaluasi model pembelajaran mesin untuk menentukan kualitas dan kesesuaian model dengan persoalan.
    3. Mampu mendokumentasikan dengan detail proses dan hasil pembangunan model pembelajaran mesin.
    1. Able to develop machine learning models using various supervised and unsupervised learning techniques, including data preparation, model training, and performance evaluation.
    2. Able to evaluate machine learning models using appropriate metrics and methodologies to assess their performance, quality, and suitability for a given problem.
    3. Able to comprehensively document the development process, experimental procedures, and results of machine learning models.
    Metode PembelajaranCeramah, diskusi, dan tanya jawab, dikombinasi dengan flipped classroom Case-based learning melalui praktikum
    Modalitas PembelajaranHybrid Visual dan auditorial
    Jenis NilaiABCDE
    Metode PenilaianUjian/kuis tertulis Praktikum
    Catatan Tambahan