Advanced Artificial Intelligence
This course covers fundamental concepts in artificial intelligence (AI), focusing on search, reasoning, planning, and learning.
Problem Solving & Reasoning: Explores search algorithms, knowledge representation, and logical reasoning.
Probabilistic Models: Covers quantifying uncertainty, probabilistic reasoning, and learning from data.
Machine Learning & AI Planning: Introduces reinforcement learning, probabilistic models, and decision-making strategies.
Students develop AI problem-solving skills, preparing them for applications in automation, robotics, and intelligent systems.
G1: Translate mechatronics systems and robots into mathematical models and simulations.
G3: Perform Multiphysics modeling and simulation for Mechatronics, Robotics, Control, and Embedded systems.
G4: Develop, test, and integrate robotics hardware and software into fully functional systems.