Artificial Intelligence

Intended learning outcomes

Upon completion of this course, graduates will:

• have gained knowledge and practice in software engineering topics including software processes, project management, requirement analysis, modelling, design, architecture, implementation and testing;
• have gained knowledge and practice in advanced software engineering topics which include designing secure and reliable software, high integrity systems, distributed systems and advanced software architectures;
• be able to apply their knowledge to plan, manage, analyse, design and implement software products using appropriate processes;
• have developed problem solving and trouble shooting skills that may be applied in professional practice;
• be able to demonstrate proficiency over established and emerging engineering methods and tools to solve practical engineering problems;
• understand the basic principles underlying the management of physical, human and financial resource;
• be able to effectively work in teams to solve complex, open-ended software engineering problems that require significant research and exploration;
• have effective verbal and written communication skills that enable them to make a meaningful contribution to the changes facing society;
• be conversant with important issues relevant to sectors influenced by software engineering, such as the sustainability of resources, the efficient operation of all processes and privacy and security in the age of the internet;
• know and epitomize professional ethical behaviour and responsibilities towards their profession and the community, including having positive and responsible approaches to sustainable development, process and personal safety, management of information and professional integrity;
• have a foundational understanding of the mathematical principles of machine learning and sequential decision marking;
• have the ability to design, implement, and evaluate artificial intelligence models for complex, real-world problems.