Mata Kuliah IF3170 - 2024

Kode Mata KuliahIF3170 / 4 SKS
Penyelenggara135 - Teknik Informatika / STEI
KategoriKuliah
Bahasa IndonesiaEnglish
Nama Mata KuliahInteligensi ArtifisialArtificial Intelligence
Bahan Kajian
  1. DS-DG-7. Data cleaning
  2. DS-DG-3. Working with various types of data
  3. DS-DG-2. Information extraction
  4. DS-DG-1. Data acquisition
  5. CS-IS-2. Basic Search Strategies
  6. CS-IS-3. Basic Knowledge Representation and Reasoning
  7. CS-IS-4. Basic Machine Learning
  8. CS-IS-5. Advanced Search
  9. CS-IS-6. Advanced Representation and Reasoning
  10. CS-IS-7. Reasoning Under Uncertainty
  11. CS-IS-10. Advanced Machine Learning
  12. DS-DM-1. Proximity measurement
  13. DS-DM-5. Classification and regression
  14. DS-ML-1. General
  15. DS-ML-2. Supervised learning
  16. DS-ML-3. Unsupervised learning
  17. DS-DG-4. Data integration
  18. DS-DG-5. Data reduction and compression
  19. DS-DG-6. Data transformation
  20. CS-IS-1. Fundamental Issues
  1. DS-DG-7. Data cleaning
  2. DS-DG-3. Working with various types of data
  3. DS-DG-2. Information extraction
  4. DS-DG-1. Data acquisition
  5. CS-IS-2. Basic Search Strategies
  6. CS-IS-3. Basic Knowledge Representation and Reasoning
  7. CS-IS-4. Basic Machine Learning
  8. CS-IS-5. Advanced Search
  9. CS-IS-6. Advanced Representation and Reasoning
  10. CS-IS-7. Reasoning Under Uncertainty
  11. CS-IS-10. Advanced Machine Learning
  12. DS-DM-1. Proximity measurement
  13. DS-DM-5. Classification and regression
  14. DS-ML-1. General
  15. DS-ML-2. Supervised learning
  16. DS-ML-3. Unsupervised learning
  17. DS-DG-4. Data integration
  18. DS-DG-5. Data reduction and compression
  19. DS-DG-6. Data transformation
  20. CS-IS-1. Fundamental Issues
Capaian Pembelajaran Mata Kuliah (CPMK)
  1. CPMK1. Menjelaskan kategori aplikasi berbasis intelligent system dan yang tidak.
  2. CPMK2. Menjelaskan teknik yang tepat untuk menyelesaikan persoalan dengan karakteristik tertentu.
  3. CPMK3. Menjelaskan hasil analisis teknik-teknik dalam intelligent system dan mengimplementasikan teknik terpilih pada suatu persoalan.
  1. Explain categories of applications based on intelligent systems and those that are not.
  2. Explain appropriate techniques to solve problems with specific characteristics
  3. Explain the analysis results of techniques in intelligent systems and implement the selected technique on a problem
Metode PembelajaranKuliah, Presentasi, Project-based study, Kerja kelompok, TutorialLectures, Presentations, Project-based study, Group work, Tutorials
Modalitas PembelajaranDaring//Luring Sinkron/Asinkron Mandiri/KelompokOnline/Offline Synchronous/Asynchronous Independent/Group
Jenis NilaiABCDE
Metode PenilaianUTS, UAS, Kuis, TugasMid-term exams, final exams, quizzes, assignments
Catatan Tambahan