ÑÇÖÞÇéÉ«

School of Engineering and Informatics (for staff and students)

Artificial Intelligence and Adaptive Systems

(MSc) Artificial Intelligence and Adaptive Systems

Entry for 2022

FHEQ level

This course is set at Level 7 (Masters) in the national Framework for Higher Education Qualifications.

Course learning outcomes

Demonstrate systematic knowledge and comprehensive understanding of the concepts, principles and theories of Artificial Intelligence(AI)/intelligent systems and the current scientific approaches to understanding intelligence, in humans, animals and/or machines.

Evaluate and critically analyse information and argument from a range of disciplines related to AI/intelligent systems and the current scientific approaches to understanding intelligence, in humans, animals and/or machines.

Demonstrate systematic understanding of how evolutionary and adaptive ideas from biology can be applied to practical problems.

Demonstrate systematic understanding of how a systems approach can further understanding of evolutionary and adaptive issues in biology.

Analyse and solve problems related to their expertise in AI/intelligent systems and identify where evolutionary and adaptive systems have a realistic chance of improving over other techniques for solving problems.

Read and critically analyse academic literature from a range of disciplines related to intelligent and adaptive systems.

Evaluate information and argument in a critical and reflexive manner.

Communicate complex material resulting from study and research, both in writing and orally.

Demonstrate their computing, technical and theoretical skills by developing a substantial AI or evolutionary and adaptive system.

Systematically extend their knowledge and understanding to encompass new principles and practice to an advanced level.

Autonomously plan, conduct and report on the development of a project.

Demonstrate self-direction and creativity in independent research.

Systematically plan and execute projects to a deadline and within resource constraints.

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, ÑÇÖÞÇéÉ«, 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]