Computer Science and Artificial Intelligence

BSc (Hons) Computer Science and Artificial Intelligence
Mode: full-time

A cursory look at its portrayal in the media shows that Computing is a fast moving discipline with developments emerging continuously.

This programme is a joint BSc award in Computer Science and Artificial Intelligence (AI).

The study of computer science provides a foundation from which you can progress onto higher degrees and into computing vocations. The artificial intelligence element attempts to study and understand underlying principles behind intelligent systems.

The AI element of the course involves a study of artificial intelligence techniques in areas such as knowledge based systems, games, machine learning, natural language understanding and generation, machine vision, neural networks, fuzzy logic, genetic algorithms and theorem proving.

Why choose this course?

• Teaching by highly experience software and hardware engineers
• Opportunities to work in state-of-the-art modern laboratories
• Benefit from combining AI and computer science

Career Opportunities

Medium to long term predictions for employability within the IT industry and associated fields look good. In addition to general IT graduate trainee positions this course offers specialist employment opportunities.

Assessment

All modules have a significant element of coursework. In addition, the majority of modules have an examination as the final assessment element, which takes the form of either a written or a computer based examination.

Dissertation/project and research

In your final year you are expected to take an idea generated by a member of staff and develop it further using skills and knowledge obtained during the degree.

This emphasis on 'working to specification' whilst allowing your creativity to develop the project further, makes the project a realistic preparation for later project work.

The course structure is designed to promote flexibility and allow for change in award during year one.

There is a significant element of practical work, which is essential for a deep understanding of the subject and is a requirement for future employment.

Areas of study include:

• Introduction to Programming
• Systems Modelling
• Problem Solving and Logical Reasoning
• Databases
• Introduction to Object Oriented Programming
• Data Communications
• Search and Control in Artificial Intelligence
• Comparative Languages
• IT Systems Building
• Social and Professional Issues in Computing
• Interface Design Environments
• Multimedia
• Internet Programming
• Neural and Fuzzy Systems
• Managing Networks