School of Electronic Engineering and Computer Science

Mr Aramis Bonzini

Aramis

Email: a.a.bonzini@qmul.ac.uk

Teaching

Artificial Intelligence (Undergraduate)

The module introduces the student to techniques used in Artificial Intelligence including problem formulation, search, logic, probability and decision theory. The module aims to provide the participants with a basic knowledge of artificial intelligence; an understanding of how to design an intelligent agent; and knowledge of basic AI tools.

Artificial Intelligence (Postgraduate)

This module provides an overview of techniques used in Artificial Intelligence including agent modelling, problem formulation, search, logic, probability and machine learning.

Skills for Robotics Engineering (Undergraduate)

This module is designed to support first year students on the MEng Robotics Engineering programme through the transition from school to university. It will provide students with the opportunity to work with others to develop and share basic practical skills that underpin many first year modules and beyond, foster a sense of enquiry and intellectual curiosity, develop basic graduate attributes that underpin effective student learning, and prepare and encourage students to obtain some work / voluntary experience at an early stage in order to enhance their employability.

Research