AVÊÓƵ

School of Engineering and Informatics (for staff and students)

Computer Science and Artificial Intelligence

(BSc) Computer Science and Artificial Intelligence

Entry for 2022

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
  CoreIntroduction to Computer Systems (G6008)154
  CoreProfessional Skills (G5120)154
YearTermStatusModuleCreditsFHEQ level
2Autumn SemesterCoreDatabases (G6031)155
  CoreNatural Language Engineering (G5119)155
  CoreProgram Analysis (G6017)155
  OptionBiological Psychology (C8514)155
  Compilers and Computer Architecture (G5035)155
  Philosophical Foundations of Cognitive Science (C8808)155
  Principles of Neuronal Function and Dysfunction (C1016)155
 Spring SemesterCoreAcquired Intelligence & Adaptive Behaviour (G6042)155
  CoreComputer Vision (G6032)155
  CoreFundamentals of Machine Learning (G6061)155
  OptionLanguage, Mind and Brain (Q1202E)155
  Neural Circuits (C1098)155
  Psychology of Cognitive Processes (C8515)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
  Structure and Function in the Human Brain (C7143)156
  Topics in the Philosophy of Cognitive Science (G5122)156
 Autumn & Spring TeachingCoreIndividual Project (G5038)306
 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
  Technology-Enhanced Learning Environments (G5065)156
  Web 3D Applications (H7006)156
  Web Applications and Services (G6060)156

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.

School of Engineering and Informatics (for staff and students)

School Office:
School of Engineering and Informatics, AVÊÓƵ, Chichester 1 Room 002, Falmer, Brighton, BN1 9QJ
ei@sussex.ac.uk
T 01273 (67) 8195

School Office opening hours: School Office open Monday – Friday 09:00-15:00, phone lines open Monday-Friday 09:00-17:00
School Office location [PDF 1.74MB]