Teaching Responsibility
LJMU Schools involved in Delivery:
Engineering
Learning Methods
Lecture
Practical
Module Offerings
6313ELE-JAN-CTY
Aims
The aim of this module is to study the fundamentals of computational intelligence (CI) and their potential applications in robotics, and practise some CI-based techniques in the planning and control problems.
Learning Outcomes
1.
Analyse the techniques of computational intelligence (CI) and explain their strengths and weaknesses.
2.
Use CI techniques to solve modern engineering and robotic problems.
3.
Apply suitable autonomous system based solutions to modern automation problems
4.
Design and implement machine learning systems
Module Content
Outline Syllabus:Review of CI, Autonomous Systems, Mobile Robots, Robotic Arms.
Optimisation, Searching, Heuristic Algorithms, Swarm Intelligence, Generic Algorithms, Particle Swarm Optimisation.
Modelling, Data-driven, Artificial Neural Networks, Back Propagation, Deep Networks, Fuzzy Rule-based Systems, Interpretability, Black-box systems.
Artificial Intelligence, Machine Learning, Classification, Clustering, Big Data.
Planning Algorithms, Motion Planning, Path Planning, Decision Theory, Decision Tree.
Module Overview:
The aim of this module is to study the fundamentals of computational intelligence (CI) and their potential applications in robotics, and practise some CI-based techniques in the planning and control problems.
The aim of this module is to study the fundamentals of computational intelligence (CI) and their potential applications in robotics, and practise some CI-based techniques in the planning and control problems.
Additional Information:In this module, students study the fundamentals of computational intelligence and their potential applications in robotics through both lectures and practical application.
Assessments
Centralised Exam
Practice