Kurikulum 2024

Kode Mata KuliahEL4032 / 3 SKS
Penyelenggara132 - Electrical Engineering / STEI
KategoriLecture
Bahasa IndonesiaEnglish
Nama Mata KuliahDasar Sistem Kendali CerdasFundamental of Intelligent Control Systems
Bahan Kajian
  1. Pengantar
  2. Machine Learning : Supervised vs Unsupervised
  3. Regresi
  4. Klasifikasi
  5. Fenomena Overfitting dan Regularisasi
  6. Jaringan Saraf Tiruan
  7. Multilayer Perceptron
  8. Deep Neural Networks (Convolutional Neural Networks)
  9. Evaluasi Kinerja
  10. Jaringan Saraf Tiruan untuk Identifikasi Sistem dan Kendali
  1. Introduction
  2. Machine Learning : Supervised vs Unsupervised
  3. Regression
  4. Classification
  5. Overfitting Phenomenon and Regularization
  6. Artificial Neural Network
  7. Multilayer Perceptron
  8. Deep Neural Networks (Convolutional Neural Networks)
  9. Performance evaluation
  10. Artificial Neural Networks for Identification System and Control
Capaian Pembelajaran Mata Kuliah (CPMK)
  1. Memahami dan mampu menggunakan algoritma machine learning dalam melakukan regresi dan klasifikasi
  2. Mengevaluasi kinerja machine learning
  3. Membangun model non parametrik sistem sederhana berbasis jaringan saraf tiruan dan pemanfaatannya pada sistem kendali
  1. Able to understand and apply machine learning algorithms for regression and classification
  2. Able to evaluate machine learning performance
  3. Able to build non-parametric model of simple systems based on artificial neural networks and its utilization in control systems
Metode PembelajaranCeramah, DIskusi, Studi Kasus, Belajar MandiriLectures, Discussions, Case Studies, Independent Study
Modalitas PembelajaranLuring, Daring, BauranOffline, Online, Hybrid
Jenis NilaiABCDE
Metode PenilaianTugas, Ujian, PresentasiAssignment, Exam, Presentation
Catatan TambahanPre-requisite: EL3015 Sistem Kendali; Pre-requisite: EL3012 Sistem MikroprosesorPre-requisite: EL3015 Control System; Pre-requisite: EL3012 Microprocessor System