Kode Mata KuliahSK5004 / 4 SKS
Penyelenggara209 - Sains Komputasi / FMIPA
KategoriKuliah
Bahasa IndonesiaEnglish
Nama Mata KuliahPembelajaran Mesin dan Kecerdasan BuatanMachine Learning and Artificial Intelligence
Bahan Kajian
  1. Pengantar Pembelajaran Mesin dalam Sains
  2. Jenis dan visualisasi data
  3. Jarak dan similaritas dalam data
  4. Pemrosesan awal data
  5. Analisis Komponen Utama (Principal Component Analysis
  6. Metode klasifikasi pada pembelajaran mesin (metode berbasis pohon, metode Naïve Bayes, metode Support Vector Machines)
  7. Metode klasifikasi pada pembelajaran mendalam (metode berbasis neural network)
  8. Metode klastering pada pembelajaran mesin (metode berdasarkan partisi, hierarki, dan densitas)
  9. Pengayaan
  1. Introduction to Machine Learning in Science
  2. Data types and visualization
  3. Distance and similarity in data
  4. Data preprocessing
  5. Principal Component Analysis (Principal Component Analysis
  6. Classification methods in machine learning (tree-based methods, Naïve Bayes methods, Support Vector Machines methods)
  7. Classification methods in deep learning (neural network based methods)
  8. Clustering methods in machine learning (methods based on partitioning, hierarchy and density)
  9. Advanced topics
Capaian Pembelajaran Mata Kuliah (CPMK)
  1. Mahasiswa memahami algoritma pembelajaran mesin dan analisa data
  2. Mahasiswa mampu menggunakan algoritma pembelajaran mesin untuk memperoleh informasi dari himpunan data berukuran besar, serta aplikasinya dalam berbagai bidang sains.
  1. Students understand machine learning algorithms and data analysis
  2. Students are able to use machine learning algorithms to obtain information from large data sets, as well as their applications in various fields of science.
Metode PembelajaranCeramah, diskusi, pembelajaran berbasis riset/masalah/studi kasus, studi literatur, kerja kelompok/mandiri,presentasi, praktekLectures, discussions, research/problem/case study based learning, literature studies, group/independent work, presentations, practice
Modalitas PembelajaranLuring/daring/hybrid, sinkronous dan asinkronousOffline/online/hybrid, synchronous and asynchronous
Jenis NilaiABCDE
Metode PenilaianPenilaian diberikan melalui PR / Tugas / Kuis / Praktikum / RBL / Laporan / Presentasi / UTS / UASAssessment is given through Homework / Assignments / Quizzes / Practicum / RBL / Reports / Presentations / UTS / UAS
Catatan Tambahan