Artificial Intelligence (TE7251)

Deskripsi Mata Kuliah / Course Description

Mata kuliah ini memperkenalkan konsep dasar dan metodologi Kecerdasan Buatan (Artificial Intelligence/AI) dengan fokus pada penerapannya dalam bidang Teknik Elektro. Topik yang dibahas mencakup logika fuzzy, algoritma genetika, dan jaringan syaraf tiruan. Mahasiswa akan mempelajari cara merancang sistem cerdas, mengembangkan strategi pemecahan masalah, dan mengoptimalkan performa sistem menggunakan teknik-teknik AI tersebut.

This course introduces students to the fundamental concepts and methodologies of Artificial Intelligence (AI), focusing on Electrical Engineering applications. The topics covered include fuzzy logic, genetic algorithms, and artificial neural networks. Students will learn to design intelligent systems, develop problem-solving strategies, and optimize system performance using these AI techniques.

Materi Pembelajaran / Learning Materials

  • Pengantar kecerdasan buatan
    Introduction to artificial intelligence
  • Konsep dasar logika fuzzy
    Basic concepts of fuzzy logic
  • Operasi logika fuzzy
    Fuzzy logic operations
  • Sistem inferensi fuzzy
    Fuzzy inference systems
  • Konsep dasar algoritma genetika
    Basic concepts of genetic algorithm
  • Operasi algoritma genetika
    Genetic algorithm operations
  • Konsep dasar jaringan syaraf tiruan (JST)
    Basic concepts of artificial neural network (ANN)
  • Algoritma pelatihan JST
    ANN training algorithm

Referensi / References

Utama / Primaries:

  1. Ross, T. J., (2017), Fuzzy Logic with Engineering Applications, 4th ed. Hoboken, NJ: Wiley.
  2. Goldberg, D. E., (1989), Genetic Algorithms in Search, Optimization, and Machine Learning. Boston, MA: Addison-Wesley.
  3. Eiben, A. E. and Smith, J. E., (2003), Introduction to Evolutionary Computing, 2nd ed. Berlin, Germany: Springer-Verlag.
  4. Haykin, S., (2009), Neural Networks and Learning Machines, 3rd ed. Upper Saddle River, NJ: Pearson.
  5. Gonzalez, R. C., and Woods, R. E., (1993), Artificial Neural Networks: A Practical Course, 1st ed. Boston, MA: Addison-Wesley.
  6. Russell, S. and Norvig, P., (2010), Artificial Intelligence: A Modern Approach, 3rd ed. Upper Saddle River, NJ: Pearson.

Pendukung / Supplementaries: