Mata Kuliah IF3270 - 2024

Kode Mata KuliahIF3270 / 3 SKS
Penyelenggara135 - Teknik Informatika / STEI
KategoriKuliah
Bahasa IndonesiaEnglish
Nama Mata KuliahPembelajaran MesinMachine Learning
Bahan Kajian
  1. CS-IS-10. Advanced Machine Learning
  2. DS-DM-1. Proximity measurement
  3. DS-ML-2. Supervised learning
  4. DS-ML-1. General
  5. DS-DM-5. Classification and regression
  6. DS-DM-4. Cluster analysis
  7. DS-DM-2. Data preparation
  8. DS-ML-5. Deep learning
  9. DS-ML-4. Mixed methods
  10. DS-ML-3. Unsupervised learning
  11. CS-IS-4. Basic Machine Learning
  1. CS-IS-10. Advanced Machine Learning
  2. DS-DM-1. Proximity measurement
  3. DS-ML-2. Supervised learning
  4. DS-ML-1. General
  5. DS-DM-5. Classification and regression
  6. DS-DM-4. Cluster analysis
  7. DS-DM-2. Data preparation
  8. DS-ML-5. Deep learning
  9. DS-ML-4. Mixed methods
  10. DS-ML-3. Unsupervised learning
  11. CS-IS-4. Basic Machine Learning
Capaian Pembelajaran Mata Kuliah (CPMK)
  1. CPMK1. Menjelaskan perbedaan jenis pembelajaran unsupervised dan supervised
  2. CPMK2. Menjelaskan dan mengimplementasikan algoritma sederhana untuk kedua jenis pembelajaran tersebut
  3. CPMK3. Menyajikan hasil pilihan jenis pembelajaran yang tepat untuk kasus persoalan/ aplikasi tertentu
  4. CPMK4. Melakukan evaluasi terhadap kinerja suatu algoritma pembelajaran pada kasus persoalan tertentu
  1. Explain the differences between unsupervised and supervised learning types
  2. Explain and implement simple algorithms for both types of learning.
  3. Presenting the results of selecting the appropriate type of learning for a particular problem/application case.
  4. Conducting an evaluation of the performance of a learning algorithm in a particular problem case.
Metode PembelajaranKuliah, Presentasi, Project-based study, Kerja kelompok, TutorialLectures, Presentations, Project-based study, Group work, Tutorials
Modalitas PembelajaranDaring//Luring Sinkron/Asinkron Mandiri/KelompokOnline/Offline Synchronous/Asynchronous Independent/Group
Jenis NilaiABCDE
Metode PenilaianUTS, UAS, Kuis, TugasMid-term exams, final exams, quizzes, assignments
Catatan Tambahan