Teaching Responsibility
LJMU Schools involved in Delivery:
Engineering
Learning Methods
Lecture
Practical
Tutorial
Module Offerings
5174CSD-JAN-CTY
Aims
Artificial intelligence as a concept has been around for many years but more recently has become a very prominent and socially acceptable technology. From self-driving vehicles, healthcare and medical diagnosis, through to robot manufacture, intelligent machines and Amazon Echo, Apple Homepod or Google Home. AI and machine learning is the technology of the moment and this module will explore the underlying technology and how it is changing our lives.
Learning Outcomes
1.
Apply AI and knowledge based systems to design technology applications.
2.
Apply simulation tools to develop a realistic small fuzzy logic system.
3.
Apply the fundamental principles of evolutionary computation to develop machine learning and AI systems.
Module Content
Outline Syllabus:Introduction to AI including definitions.
Knowledge based systems: knowledge acquisition and representation, construction, operation, forward and backward chaining.
Neural nets: overview of network architectures and learning schemes, perceptron learning, multi-layer perceptron and backpropagation, implementation.
Evolutionary Computing (introduction), principles, data coding, fundamental operations, Basic GA, Bee Algorithm, etc.
Case studies will illustrate the application and performance of AI methods in
Engineering and technology, e.g. modelling of systems and signals; pattern recognition; image processing.
Module Overview:
Artificial intelligence as a concept has been around for many years but more recently has become a very prominent and socially acceptable technology. From self-driving vehicles, healthcare and medical diagnosis, through to robot manufacture, intelligent machines and Amazon Echo, Apple Homepod or Google Home. AI and machine learning is the technology of the moment and this module will explore the underlying technology and how it is changing our lives. A range of artificial intelligence (AI) techniques will be studied. Case studies will illustrate the application of AI to technology and engineering problems. Students will gain hands on use of implementing AI methods using computer software packages.
Artificial intelligence as a concept has been around for many years but more recently has become a very prominent and socially acceptable technology. From self-driving vehicles, healthcare and medical diagnosis, through to robot manufacture, intelligent machines and Amazon Echo, Apple Homepod or Google Home. AI and machine learning is the technology of the moment and this module will explore the underlying technology and how it is changing our lives. A range of artificial intelligence (AI) techniques will be studied. Case studies will illustrate the application of AI to technology and engineering problems. Students will gain hands on use of implementing AI methods using computer software packages.
Additional Information:A range of artificial intelligence (AI) techniques will be studied. Case studies will illustrate the application of AI to technology and engineering problems. Students will gain hands on use of implementing AI methods using computer software packages.