Kode Mata KuliahKS5203 / 3 SKS
Penyelenggara285 - Kecerdasan Sistem / SPITM
KategoriKuliah
Bahasa IndonesiaEnglish
Nama Mata KuliahKecerdasan untuk Sistem MultidisiplinIntelligence for Multidisciplinary Systems
Bahan Kajian
  1. Pengantar Kecerdasan Buatan
  2. Agen Cerdas dan Pemecahan Masalah
  3. Algoritma Pencari dalam AI
  4. Dasar-Dasar Machine Learning
  5. Deep Learning dan AI Modern
  6. Natural Language Processing (NLP)
  1. Introduction to Artificial Intelligence
  2. Intelligent Agents and Problem Solving
  3. Search Algorithms in AI
  4. Fundamentals of Machine Learning
  5. Deep Learning and Modern AI
  6. Natural Language Processing
Capaian Pembelajaran Mata Kuliah (CPMK)
  1. Mahasiswa mampu menjelaskan konsep, sejarah, dan cabang-cabang utama dalam Kecerdasan Buatan (AI).
  2. Mahasiswa mampu menganalisis algoritma fundamental AI, meliputi search, representasi pengetahuan, dan machine learning.
  3. Mahasiswa mampu mengevaluasi penerapan AI dalam domain spesifik seperti Natural Language Processing (NLP) dan Computer Vision.
  4. Mahasiswa mampu menganalisis peluang, tantangan, dan implikasi etis dari penerapan AI melalui studi kasus di berbagai bidang (e-commerce, kesehatan, transportasi).
  1. Is able to explain the concepts, historical development, and major branches of Artificial Intelligence (AI).
  2. Is able to analyze fundamental AI algorithms, including search methods, knowledge representation, and machine learning techniques.
  3. Is able to evaluate the application of AI in specific domains such as Natural Language Processing (NLP) and Computer Vision.
  4. Is able to analyze the opportunities, challenges, and ethical implications of AI applications through case studies across various sectors (e.g., e-commerce, healthcare, transportation).
Metode PembelajaranKuliahLecture
Modalitas PembelajaranLuring / DaringOffline /Online
Jenis NilaiABCDE
Metode PenilaianKuis, Tugas, UTS/UASQuiz, Assignment, Exams
Catatan Tambahan