Machine Learning and Data Science
Πολυτεχνείο Κρήτης
Ηλεκτρολόγων Μηχανικών και Μηχανικών Υπολογιστών
Full Time

Courses offered in the Fall semester (30 ECTS)

  • Probability Theory & Introduction to Machine Learning (7ECTS)
  • Practical Data Science and Applications (7ECTS)
  • Programming and Database Fundamentals (7ECTS)
  • Optimization (7ECTS)
  • Research seminar / Independent Study / Capstone project (2ECTS)

Courses offered in the Spring semester (30 ECTS)

  • Machine Learning (Required, 7ECTS)
  • Research seminar / Independent Study / Capstone project (Required, 2ECTS)
  • At least one from Group A
    • Big Data Processing and Analysis (7ECTS)
    • Time Series Modeling and Analysis (7ECTS)
    • Probabilistic Graphical Models and Inference Algorithms (7ECTS)
    • Detection and Estimation Theory (7ECTS)
  • At most two from Group B
    • Advanced Concepts in Machine Learning and Pattern Recognition (7ECTS)
    • Quantum Machine Learning, Optimization and Applications (7ECTS)
    • Quantum Information and Quantum Estimation (B, 7ECTS)
    • Secure Systems (7ECTS)
    • Nonlinear Systems (7ECTS)
    • Reinforcement learning and Dynamic Optimization (B, 7ECTS)
    • Decision Making and Learning in Multiagent Worlds (B, 7ECTS)
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