Intelligent Computing Course

This Intelligent Computing course discusses the theory of fuzzy logic and neural networks, where in fuzzy logic there are three components, namely fuzification, membership function and defuzzification, while in neural networks there are firing rules, pattern recognition, feedforward networks, feedback networks, network layers, perceptrons , learning process, transfer function and back propagation algorithm. MATLAB software is used for the learning process in this course. The learning activity ends with an exercise in creating artificial intelligence in a power system using fuzzy logic and neural networks using MATLAB software.

• PLO-2
  Menunjukkan karakter tangguh, kolaboratif, adaptif, inovatif, inklusif, belajar sepanjang hayat, dan berjiwa kewirausahaan
• PLO-10
  Mampu menyampaikan ide dan/atau gagasan hasil kerja dan inovasi dibidang teknik elektro secara efektif baik lisan maupun tulisan
• PLO-11
  Mampu merencanakan, menyelesaikan dan mengevaluasi tugas didalam batasan-batasan yang ada dibidang teknik elektro

PO-1
Mahasiswa memiliki pengetahuan tentang teori logika fuzzy, neural network, dan deep learning