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