| Kode Mata Kuliah | SK5011 / 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 | Metode Komputasi dalam Sains | Computational Methods in Sciences |
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| Bahan Kajian | - Persamaan-persamaan fundamental dalam sains
- Aproksimasi numerik terhadap persamaan diferensial parsial
- Metode komputasi berbasis partikel dan grid
- Hidrodinamika berbasis partikel dan grid
- Optimisasi: Constrained dan unconstrained
- Pemodelan berbasis komputasi dalam sains
| - Fundamental equations in science
- Numerical approximation of partial differential equations
- Particle and grid based computing methods
- Particle and grid based hydrodynamics
- Optimization: Constrained and unconstrained
- Computational-based modeling in science
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| Capaian Pembelajaran Mata Kuliah (CPMK) | - Mahasiswa mampu memahami dan menguasai Data masif dan penambangan data serta penemuan pengetahuan
- Mahasiswa mampu menggunakan program baku Weka dan RapidMiner dalam menemukan pengetahuan
- Mahasiswa mampu menerapkan metode statistic formal maupun non formal dalam mengevaluasi, menganalisis hasil penambangan data
- Mahasiswa mampu menggunakan program baku R dalam visualisasi data
| - Students are able to understand and master massive data and data mining and knowledge discovery
- Students are able to use the standard Weka and RapidMiner programs to discover knowledge
- Students are able to apply formal and non-formal statistical methods in evaluating and analyzing data mining results
- Students are able to use standard R programs in data visualization
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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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