| Kode Mata Kuliah | SK5004 / 4 SKS |
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| Penyelenggara | 209 - Computational Sciences / FMIPA |
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| Kategori | Lecture |
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| Bahasa Indonesia | English |
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| Nama Mata Kuliah | Pembelajaran Mesin dan Kecerdasan Buatan | Machine Learning and Artificial Intelligence |
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| Bahan Kajian | - Pengantar Pembelajaran Mesin dalam Sains
- Jenis dan visualisasi data
- Jarak dan similaritas dalam data
- Pemrosesan awal data
- Analisis Komponen Utama (Principal Component Analysis
- Metode klasifikasi pada pembelajaran mesin (metode berbasis pohon, metode Naïve Bayes, metode Support Vector Machines)
- Metode klasifikasi pada pembelajaran mendalam (metode berbasis neural network)
- Metode klastering pada pembelajaran mesin (metode berdasarkan partisi, hierarki, dan densitas)
- Pengayaan
| - Introduction to Machine Learning in Science
- Data types and visualization
- Distance and similarity in data
- Data preprocessing
- Principal Component Analysis (Principal Component Analysis
- Classification methods in machine learning (tree-based methods, Naïve Bayes methods, Support Vector Machines methods)
- Classification methods in deep learning (neural network based methods)
- Clustering methods in machine learning (methods based on partitioning, hierarchy and density)
- Advanced topics
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| Capaian Pembelajaran Mata Kuliah (CPMK) | - Mahasiswa memahami algoritma pembelajaran mesin dan analisa data
- Mahasiswa mampu menggunakan algoritma pembelajaran mesin untuk memperoleh informasi dari himpunan data berukuran besar, serta aplikasinya dalam berbagai bidang sains.
| - Students understand machine learning algorithms and data analysis
- 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.
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| Metode Pembelajaran | Ceramah, diskusi, pembelajaran berbasis riset/masalah/studi kasus, studi literatur, kerja kelompok/mandiri,presentasi, praktek | Lectures, discussions, research/problem/case study based learning, literature studies, group/independent work, presentations, practice |
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| Modalitas Pembelajaran | Luring/daring/hybrid, sinkronous dan asinkronous | Offline/online/hybrid, synchronous and asynchronous |
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| Jenis Nilai | ABCDE |
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| Metode Penilaian | Penilaian diberikan melalui PR / Tugas / Kuis / Praktikum / RBL / Laporan / Presentasi / UTS / UAS | Assessment is given through Homework / Assignments / Quizzes / Practicum / RBL / Reports / Presentations / UTS / UAS |
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| Catatan Tambahan | | |
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