| Kode Mata Kuliah | IF3070 / 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 | Dasar Inteligensi Artifisial | Foundations of Artificial Intelligence |
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| Bahan Kajian | - CS-IS-1. Fundamental Issues
- DS-DM-5. Classification and regression
- DS-DM-1. Proximity measurement
- CS-IS-7. Reasoning Under Uncertainty
- CS-IS-5. Advanced Search
- CS-IS-6. Advanced Representation and Reasoning
- CS-IS-4. Basic Machine Learning
- CS-IS-3. Basic Knowledge Representation and Reasoning
- DS-ML-1. General
- DS-ML-3. Unsupervised learning
- DS-ML-2. Supervised learning
- CS-IS-2. Basic Search Strategies
| - CS-IS-1. Fundamental Issues
- DS-DM-5. Classification and regression
- DS-DM-1. Proximity measurement
- CS-IS-7. Reasoning Under Uncertainty
- CS-IS-5. Advanced Search
- CS-IS-6. Advanced Representation and Reasoning
- CS-IS-4. Basic Machine Learning
- CS-IS-3. Basic Knowledge Representation and Reasoning
- DS-ML-1. General
- DS-ML-3. Unsupervised learning
- DS-ML-2. Supervised learning
- CS-IS-2. Basic Search Strategies
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| Capaian Pembelajaran Mata Kuliah (CPMK) | - CPMK1. Menjelaskan kategori aplikasi berbasis intelligent system dan yang tidak.
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| Metode Pembelajaran | Kuliah, Presentasi, Project-based study, Kerja kelompok, Tutorial | |
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| Modalitas Pembelajaran | Daring/Luring
Sinkron/Asinkron
Mandiri/Kelompok | |
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| Jenis Nilai | ABCDE |
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| Metode Penilaian | UTS, UAS, Kuis, Tugas | |
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| Catatan Tambahan | | |
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