| Kode Mata Kuliah | SK5016 / 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 | Penambangan, Analisa, dan Visualisasi Data | Data mining, analysis and visualization |
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| Bahan Kajian | - Komputasi cepat dan data masif
- Statistika Deskriptif: Distribusi statistik dan probabilitas; Statistika inferensi klasik dan Bayesian
- Regresi dan fitting model
- Visualisasi data
- Penambangan data: Pencarian struktur dalam data, penelusuran
- Dimensionalitas dan reduksi dimensi
- Klasifikasi
- Analisis deret waktu
| - Fast computing and massive data
- Descriptive Statistics: Statistical and probability distributions; Classical and Bayesian inference statistics
- Regression and model fitting
- Data visualization
- Data mining: Searching for structures in data, tracing
- Dimensionality and dimensionality reduction
- Classification
- Time series analysis
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| Capaian Pembelajaran Mata Kuliah (CPMK) | - Mahasiswa mampu memahami dan menguasai Data masif dan penambangan data serta proses penemuan pengetahuan
- Mahasiswa mampu menggunakan program dalam menemukan pengetahuan dari set data masif
- Mahasiswa mampu menerapkan metode statistik formal dalam mengevaluasi &, menganalisis hasil penambangan data
- Mahasiswa mampu menggunakan program baku (Excel dan R) dalam analisis statistika dan visualisasi data besar dalam memecahkan masalah
| - Students are able to understand and master massive data and data mining as well as the knowledge discovery process
- Students are able to use programs to discover knowledge from massive data sets
- Students are able to apply formal statistical methods in evaluating & analyzing data mining results
- Students are able to use standard programs (Excel and R) in statistical analysis and big data visualization in solving problems
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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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