This course aims at applying Artificial Intelligence (AI) techniques to practical antenna problems in wireless communication systems. Students will learn optimization algorithms, machine learning (ML) models, and surrogate-assisted optimizations, with a focus on solving practical antenna problems. They will learn surrogate models, including linear models, radial basis functions, and probabilistic models. Through the lectures and group project, students will know how to apply AI-driven methods to solve engineering problems, preparing them for solving challenging engineering problems and doing advanced research.

Continuous Assessment: 50%

Examination: 50%

To pass the course, students are required to achieve at least 30% in course work and 30% in the examination.

Examination Duration: 2 hours