Kode Mata KuliahFI3263 / 2 SKS
Penyelenggara102 - Fisika / FMIPA
KategoriKuliah
Bahasa IndonesiaEnglish
Nama Mata KuliahKecerdasan Buatan dan Nonlinearitas BumiArtificial Intelligence and Earths Nonlinearity
Bahan Kajian
  1. Pendahuluan Kecerdasan Buatan, Chaos, dan Nonlinearitas sistem Fisis Bumi
  2. Pengenalan jenis-jenis algoritma metode kecerdasan buatan atau artificial neural network (ANN) / jaringan syaraf tiruan (JST): (ANN, Fuzzy logic, GA, ACO, SVM, Maksimum entropi, dll)
  3. Pengenalan dan mengaplikasikan genetic algorithm (GA)
  4. Pengenalan dan mengaplikasikan ant colony optimization (ACO)
  5. Pengenalan dan mengaplikasikan Genetic algoritma (GA)
  6. Pengenalan dan mengaplikasikan Support Vector Machine (SVM)
  7. Implementasi JST untuk penyelesaian permasalahan peramalan, clustering dan lainnya
  8. Teori Chaos, Chaos phenomena di Fisika, Chaos di Fluida, Fraktal
  9. Fenomena Non linearitas, Montecarlo, Statistik Bayesian, Rantai Markov
  10. Perkembangan ANN terkini: Deep learning (DL) meliputi: Convolutional Neural Network (CNN)
  11. Recurrent Neural Network (RNN)
  12. Long Short Term Memory Network (LSTM)
  13. Bidirectional Long Short Term Memory Network (BiLSTM)
  1. Introduction to Artificial Intelligence, Chaos, and Nonlinearity of Earth's Physical Systems
  2. Introduction to the types of artificial intelligence method algorithms or artificial neural networks (ANN) / artificial neural networks (ANN): (ANN, Fuzzy logic, GA, ACO, SVM, Maximum entropy, etc)
  3. Introduction and application of genetic algorithms (GA)
  4. Introduction and application of ant colony optimization (ACO)
  5. Introduction and application of Genetic Algorithm (GA)
  6. Introduction and application of Support Vector Machine (SVM)
  7. Implementation of ANN to solve forecasting, clustering and other problems
  8. Chaos Theory, Chaos phenomena in Physics, Chaos in Fluids, Fractals
  9. Non linearity phenomena, Montecarlo, Bayesian statistics, Markov chains
  10. Recent ANN developments: Deep learning (DL) include: Convolutional Neural Network (CNN)
  11. Recurrent Neural Network (RNN)
  12. Long Short Term Memory Network (LSTM)
  13. Bidirectional Long Short Term Memory Network (BiLSTM)
Capaian Pembelajaran Mata Kuliah (CPMK)
  1. Menguasai metode analisis penggunaan kecerdasan buatan
  2. Mampu memilih metode kecerdasan buatan yang sesuai untuk menyelesaikan permasalahan sistem fisis bumi
  3. Mampu mendesain dan mengimplementasikan metode kecerdasan buatan dan digunakan untuk penyelesaian masalah di sistem fisis bumi
  4. Mampu mengimplementasikan metode deep learning untuk penyelesaian masalah di sistem fisis bumi
  1. Mastering analytical methods using artificial intelligence
  2. Able to choose appropriate artificial intelligence methods to solve problems of the earth's physical system
  3. Able to design and implement artificial intelligence methods and use them to solve problems in the earth's physical system
  4. Able to implement deep learning methods for solving problems in the earth's physical system
Metode PembelajaranCeramah, diskusi kelompok, tugas mandiriLectures, group discussions, independent assignments
Modalitas PembelajaranLuring Sinkron, Bauran/Daring AsinkronSynchronous Offline, Asynchronous Mixed/Online
Jenis NilaiABCDE
Metode PenilaianUjian Tengah Semester, Ujian Akhir Semester, Tugas dan KuisMidterm Exam, Final Exam, Assignments and Quizzes
Catatan TambahanMKPB