| Kode Mata Kuliah | IF4044 / 3 SKS |
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| Penyelenggara | 135 - Teknik Informatika / STEI |
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| Kategori | Kuliah |
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| Bahasa Indonesia | English |
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| Nama Mata Kuliah | Teknologi Big Data | Big Data Technology |
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| Bahan Kajian | - DS-BDS-7. Complexity Theory
- DS-BDS-6. Parallel Computing Frameworks
- DS-BDS-4. Techniques for Big Data applications
- DS-BDS-5. Software support for Big Data applications
- CS-IS-9. Natural Language Processing
- DS-BDS-1. Problems of scale
- DS-BDS-2. Big data computing architectures
- DS-BDS-3. Distributed data storage
| - DS-BDS-7. Complexity Theory
- DS-BDS-6. Parallel Computing Frameworks
- DS-BDS-4. Techniques for Big Data applications
- DS-BDS-5. Software support for Big Data applications
- CS-IS-9. Natural Language Processing
- DS-BDS-1. Problems of scale
- DS-BDS-2. Big data computing architectures
- DS-BDS-3. Distributed data storage
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| Capaian Pembelajaran Mata Kuliah (CPMK) | - CPMK1. Menjelasakan persoalan, tantangan dan solusi dalam big data analytics
- CPMK2. Menghasilkan insight dari big data dan menangani isu volume, velocity, variety dan veracity menggunakan teknologi big data
| - Explain problems, challenges, and solutions in big data analytics
- Generate insights from big data and handle issues of volume, velocity, variety, and veracity using big data technology
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| Metode Pembelajaran | Kuliah, Presentasi, Diskusi, Case study, Problem-based Learning, Studi literatur,
Kerja kelompok, Project-based Learning (PBL) | Lectures, Presentations, Discussions, Case Studies, Problem-Based Learning, Literature Review, Group Work, Project-Based Learning (PBL) |
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| Modalitas Pembelajaran | Daring/Luring
Sinkron/Asinkron
Mandiri/Kelompok | Offline (Luring); Synchronous; Independent/Group |
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| Jenis Nilai | ABCDE |
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| Metode Penilaian | UTS, UAS, Kuis, Tugas | Mid-term exams, final exams, quizzes, assignments |
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| Catatan Tambahan | | |
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