Joint-honours information for 2016 entry

(BSc) Computer Science and Artificial Intelligence

Entry for 2016

FHEQ level

This course is set at Level 6 in the national Framework for Higher Education Qualifications.

Course Aims

The programme aims to provide a thorough understanding of the principles of both computer science and artificial intelligence by studying the fundamental principles of the subjects and by gaining experience in their application. The programme covers the study of computer software, hardware and foundations, together with intelligent computer systems and the study of intelligence in both people and machines.

Course learning outcomes

Demonstrate knowledge and understanding of the fundamental principles of computer science and artificial intelligence.

Demonstrate knowledge and understanding of how these principles, logical concepts, data structures, algorithms and design approaches such as object orientation can be used to develop software-based solutions.

Demonstrate knowledge and understanding of how the principles of artificial intelligence can be used to support the development of intelligent computer systems.

Demonstrate knowledge and understanding of the professional and ethical responsibilities of computer scientists.

Apply and implement appropriate theories and techniques to the design and development of computer systems such as information systems, computer graphics, intelligent systems and human-computer interfaces.

Use appropriate criteria and tools for the planning, development, documentation, testing and evaluation of software systems.

Use appropriate presentation skills.

Specify, design, construct, test and evaluate computer-based systems using appropriate tools.

Recognise sources of risk in computer-based systems.

Recognise the capabilities and the limitations of computer-based solutions.

Full-time course composition

YearTermStatusModuleCreditsFHEQ level
1Autumn SemesterCoreIntroduction to Programming (G5066)154
  CoreMathematical Concepts (G6012)154
  CoreProgramming Concepts (G6007)154
  CoreThe Ghost in the Machine? (G5077)154
 Spring SemesterCoreData Structures & Algorithms (G5117)154
  CoreFurther Programming (G5067)154
  CoreProfessional Skills (G5120)154
  OptionIntroduction to Computer Systems (G6008)154
  Neuroscience and Behaviour (C1087)154
YearTermStatusModuleCreditsFHEQ level
2Autumn SemesterCoreDatabases (G6031)155
  CoreNatural Language Engineering (G5119)155
  CoreProgram Analysis (G6017)155
  OptionCompilers and Computer Architecture (G5035)155
  Further Study in Biological and Cognitive Psychology (C8514)155
  Philosophical Foundations of Cognitive Science (C8808)155
  Principles of Neuroscience (C1016)155
 Spring SemesterCoreAcquired Intelligence & Adaptive Behaviour (G6042)155
  CoreComputer Vision (G6032)155
  CoreFundamentals of Machine Learning (G6061)155
  OptionBrain and Behaviour (C8518)155
  Clinical Psychology and Mental Health (C8512)155
  Language, Mind and Brain (Q1202E)155
  Neural Circuits (C1098)155
  Software Engineering (G6046)155
YearTermStatusModuleCreditsFHEQ level
3Autumn SemesterCoreKnowledge & Reasoning (G6019)156
  OptionHuman-Computer Interaction (G5026)156
  Intelligence in Animals and Machines (C1118)156
  Introduction to Computer Security (G6077)156
  Social Cognitive Development (C8045)156
  Topics in the Philosophy of Cognitive Science (G5122)156
 Autumn & Spring TeachingCoreComputer Science and Artificial Intelligence Project (G5002)456
 Spring SemesterOptionAdvanced Natural Language Engineering (G5114)156
  Current Issues in Cognitive Science (C8807)156
  Neural Networks (G5015)156
  Philosophy and Science of Consciousness (C8893)156
  Structure and Function in the Brain (C7143)156
  Technology-Enhanced Learning Environments (G5065)156
  Web 3D Applications (H7006)156
  Web Applications and Services (G6060)156

Course convenors

Photo of Sharon Wood

Sharon Wood
Senior Lecturer in Computer Science & Artificial Intelligence
Director of Teaching & Learning
T: +44 (0)1273 678857 or +44 (0)1273 678195

About your joint honours course

Sussex has always promoted interdisciplinary study by encouraging students to combine different subjects and different approaches to learning. Joint-honours courses are an ideal option if you want to study more than one subject in depth. A key idea behind joint-honours is to experience the range of ways that different academic disciplines use to teach, learn and research. Those differences are stimulating and challenging, but they can also be confusing, so you will find some useful information below to help you get the most out of your course.

  • To find information about the individual modules that make up your course, go to the school that teaches the module. Each module is assessed by the school that teaches it, so on their website you will find (under “student information”) information about the assessment criteria being used, the referencing style you need to use for your work, contact times for your tutors, information about the student reps scheme and lots of other useful information.
  • To find general information about joint honours, use the Frequently Asked Questions list
  • For information about the rules and regulations that govern all Sussex students, start with the general student handbook
  • For help in improving your study skills, using the library and with careers, try the Skills Hub.

And if you have any other questions, contact the convenors for your course; they are here to help you.

Useful links

Please note that the University will use all reasonable endeavours to deliver courses and modules in accordance with the descriptions set out here. However, the University keeps its courses and modules under review with the aim of enhancing quality. Some changes may therefore be made to the form or content of courses or modules shown as part of the normal process of curriculum management.

The University reserves the right to make changes to the contents or methods of delivery of, or to discontinue, merge or combine modules, if such action is reasonably considered necessary by the University. If there are not sufficient student numbers to make a module viable, the University reserves the right to cancel such a module. If the University withdraws or discontinues a module, it will use its reasonable endeavours to provide a suitable alternative module.