Bachelor of Software Engineering (Artificial Intelligence)

This subject introduces students to the statistical models for regression and classification necessary for more specialised subjects in this degree. The main topics covered are Classification Algorithms and Regression Algorithms; the practical use of both methods, how to evaluate the proposed models and how to choose between the different available methods.

Theoretical lectures about the main concepts to be studied are followed by demonstrations of the different applications. Then the students are asked to apply the learned concepts on different classification and regression problems.

This subject is designed to provide students with professional experience in an area related to their specialisation. The aim of providing industry-specific opportunities is to enable students to develop skills that will enhance their prospects of gaining meaningful employment and building their career for the future. Much of the benefit of work integrated learning comes from observation, practicing under supervision and reflection. Work Integrated Learning is an excellent way to broaden the students learning environment while they are studying. It allows them to see first-hand how what they are learning in their degree translates into practice, as well as how ‘real world’ practice relates to what they are learning at University.

This subject will develop work ready skills and boost students’ employability while they are studying.

There are two work integrated learning options available to students:

Option 1: Industry Placement 
Students are offered the opportunity to work within a technology company as an intern or volunteer at a technology non-profit organisation. It encourages students to build long-term relationships with the tech industry and provides an opportunity for them to work with and learn from people who may end up becoming colleagues, bosses or mentors. It also provides a context in which to enhance their communication skills and work collaboratively in a professional arena. Students will undertake a series of industry-led tasks that are relevant to their field of study in order to understand the key concepts of working in and managing a professional technology team with emphasis placed on the operation of the environment.

Option 2: Industry Live Brief 
This subject requires students to respond to criteria set within the context of an Industry Live Project. An understanding of research methodologies appropriate to professional practice and the documentation of personal creative investigation will be explored. Students will also further investigate and examine entrepreneurial and commercial opportunities through collaborative work practice. The subject is delivered from a cross specialisation perspective and draws on both specialised and common software engineering practices.

Students are required to work both independently and as part of a collaborative team in order to conduct research, analyse and define project parameters and deliver innovative solutions that expand the notion of an industry live brief.

This subject introduces students to the theory and practice of Information Design. Students will visualise both quantitative and qualitative data from a variety of sources via linear and non-linear typography, signs, icons, pictograms and mapping techniques. They will explore theories and practical approaches that examine instructional systems, methods to convey instructions and complex information systems.

Working individually students are required to research a number of given topics. They will analyse and process this information within the context of the LATCH organisational system, demonstrating their knowledge via the design of a series of visual graphics that dramatise both the research they have conducted and the skills they have gained.

Students develop social analysis skills to critically examine how human and social elements shape our views about equality, justice and fairness. The subject encourages students to assess the relevance of these elements to our social and professional relations.

Game Studies introduces students to the study of video games as texts situated within wider cultural and theoretical settings. Students will explore histories of video games as creative technologies and as cultural artefacts. These ideas will be framed through critical analysis of specific case studies, informed by a wider reading of contemporary games scholarship.

Through a series of lecture and seminar-based talks, discussions, and play sessions, students are encouraged to critically analyse the wider context of the game industry in relation to the economic, social, & cultural determinants surrounding the production & consumption of games & game technology.

This look into society develops scholarly skills by encouraging students to research and debate contemporary issues surrounding the production, dissemination, and consumption of interactive media.