Application of a computer vision techniques to national infrastructure

Study mode:On campus Study type:Full-time Languages: English
Local:$ 13.1 k / Year(s) Foreign:$ 21.9 k / Year(s)  
160 place StudyQA ranking:7756 Duration:12 months

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This course offers both a broad perspective on intelligent systems, covering evolutionary models, statistical and symbolic machine learning algorithms, qualitative reasoning, image processing, language understanding, and bio-computation with a thorough knowledge of the essential principles and practices used in the effective design, implementation and usability of intelligent systems.

The course is rooted in the established research strengths of the School and will offer you the opportunity to gain an in-depth understanding of an area of specialisation during the main research project where you will work as integral members of our research groups. You will apply your knowledge and skills to tackle a significant problem, which will prepare you for a graduate career in the IT industry or for further study.

The adoption of intelligent systems is increasing rapidly and varies from software agents used in networking systems to embedded systems in robots and unmanned vehicles to provide systems that can work unsupervised or to enhance human activities.

Compulsory modules

* Research Project
* Systems Programming
* Algorithms
* Knowledge Representation and Machine Learning

Optional modules (study at least 15 credits)

* Bio-Inspired Computing
* Data Mining and Text Analytics
* Image Analysis

Optional modules (study up to 60 credits)

* Advanced Distributed Systems
* Mobile Application Development
* Cloud Computing
* Semantic Technologies and Applications
* Scientific Visualization
* Scheduling
* Scientific Computation

A degree equivalent to a UK upper second class honours (2:1) degree or higher in computing or a related discipline with a significant computing component. You are expected to have programming competence, some prior systems development experience and knowledge of data structures and algorithms. Relevant work experience will also be taken into consideration.We also welcome and accept students with a wide range of international equivalent qualifications.English language requirement: A pass at GCSE level in English language (grade C or above). If English is not your first language, you are required to provide evidence of proficiency in English. You will need to meet our minimum requirements for one of the following recognised English language tests: the International English Language Testing Service (IELTS), the Test of English as a Foreign Language (TOEFL) and the Pearson Test of English Academic.
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