Within the School of Computing are authors of widely used textbooks, a National Teaching Fellow and Association of Computer Machinery (ACM) Award-winning scientists. Programmes are taught by leading researchers who are experts in their fields.
Teaching is based on lectures, with practical classes and seminars, but we are also introducing more innovative ways of teaching, such as virtual learning environments and work-based tuition. Work includes group projects, case studies and computer simulations, with a large-scale project of your own choice in the final year.Overall workload
Each stage comprises eight modules. Most modules run for a single 12-week term. Each module has two lectures and one to two hours of classes, making 14 formal contact hours per week and eight hours of 'homework club' drop-in sessions each term.Academic support
We provide excellent support for you throughout your time at Kent. This includes access to web-based information systems, podcasts and web forums for students who can benefit from extra help. We use innovative teaching methodologies, including BlueJ and LEGO© Mindstorms for teaching Java programming.Teaching staff
Our staff have written internationally acclaimed textbooks for learning programming, which have been translated into eight languages and are used worldwide. A member of staff has received the SIGCSE Award for Outstanding Contribution to Computer Science Education. The award is made by ACM, the world's largest educational and scientific computing society.Assessment
Assessment is by a combination of coursework and end-of-year examination and details are shown in the module outlines on the web. Project modules are assessed wholly by coursework.
The marks from stage one do not go towards your final degree grade, but you must pass to continue to stage two.
Most stage two modules are assessed by coursework and end-of-year examination. Marks from stage two count towards your degree result.
Most stage three modules are assessed by a combination of coursework and end-of-year examination. Projects are assessed by your contribution to the final project, the final report, and oral presentation and viva examination. Marks from stage three count towards your degree result.Percentage of the course assessed by coursework
In stage three your project counts for 25% of the year's marks.
Knowledge and understanding
You gain knowledge and understanding of:
- hardware: the major functional components of a computer system
- software: programming languages and practice; tools and packages; computer applications; structuring of data and information
- communication and interaction: basic computer communication network concepts; communication between computers and people; the control and operation of computers
- practice: problem identification and analysis; design development, testing and evaluation
- theory: algorithm design and analysis; formal methods and description; modelling
- the philosophical and psychological principles of knowledge and cognition
- machine intelligence: systems, algorithms and applications.
You gain intellectual skills in:
- modelling: knowledge and understanding in the modelling and design of computer-based systems in a way that demonstrates comprehension of the trade-off involved in design choices
- reflection and communication: presenting succinctly to a range of audiences rational and reasoned arguments
- requirements: identifying and analysing criteria and specifications appropriate to specific problems and planning strategies for their solution
- criteria evaluation and testing: analysing the extent to which a computer-based system meets the criteria defined for its current use and future development
- methods and tools: deploying appropriate theory, practices, and tools for the specification, design, implementation, and evaluation of computer-based systems
- professional responsibility: recognising and being guided by the professional, economic, social, environmental, moral and ethical issues involved in the sustainable exploitation of computer technology
- computational thinking: demonstrating a basic analytical ability and its relevance to everyday life.
You gain subject-specific skills in:
- design and implementation: specifying, designing, and implementing computer-based systems
- evaluation: evaluating systems in terms of general quality attributes and possible trade-offs presented within the given problem
- information management: applying the principles of effective information management, information organisation, and information retrieval skills to information of various kinds, including text, images, sound, and video
- tools: deploying effectively the tools used for the construction and documentation of software, with particular emphasis on understanding the whole process involved in using computers to solve practical problems
- operation: operating computing equipment and software systems effectively
- identifying and developing solutions for computational problems requiring machine intelligence.
You gain transferable skills in:
- teamwork: being able to work effectively as a member of a development team
- communication: making succinct presentations to a range of audiences about technical problems and their solutions
- IT: effective use of general IT facilities; information retrieval skills
- numeracy and literacy: understanding and explaining the quantitative and qualitative dimensions of a problem.
- self management: managing one’s own learning and development, including time management and organisational skills
- professional development: appreciating the need for continuing professional development in recognition of the need for lifelong learning.
The programme aims to:
- provide a programme that will attract and meet the needs of both those contemplating a career in computing and those motivated primarily by an intellectual interest in computer science
- be compatible with widening participation in higher education by offering a wide variety of entry routes
- provide a sound knowledge and systematic understanding of the principles of computer science
- provide computing skills that will be of lasting value in a field that is constantly changing
- offer a range of options to enable students to match their interests and study some selected areas of computing in more depth
- provide teaching which is informed by current research and scholarship and which requires students to engage with aspects of work at the frontiers of knowledge
- develop general critical, analytical and problem-solving skills that can be applied in a wide range of different computing and non-computing settings.
- provide knowledge of key areas in artificial intelligence.