Advanced Computing

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For students with computer science, mathematics, science or engineering backgrounds and good knowledge of computer programming. To improve ability to solve advanced computational problems by providing a thorough knowledge of data structures, design, quantitative analysis of algorithms and algorithmic applications and impart skills necessary for algorithm implementation within the overall context of software development.

KEY BENEFITS * Unrivalled location in the heart of London giving access to major libraries and leading scientific societies, including the BCS Chartered Institute for IT, and the Institution of Engineering and Technology (IET).
* Equips graduates with practical techniques and implementation skills for solving advanced computational problems.
* Develops critical awareness and appreciation of the changing role of computing in society, motivating graduates to pursue continuing professinoal development and further research.
* Access to speakers of international repute through seminars and external lectures, enabling students to keep abreast of emerging knowledge in advanced computing and related fields.

STRUCTURE OVERVIEW Core programme content * Individual Project.

Indicative non-core content Compulsory modules:

* Algorithm Design & Analysis
* Data Structures & their Implementation in C++
* Parallel & Distributed Algorithms.

Optional modules:

* Advanced Research Topics
* Cryptography & Information Security
* Algorithmic Issues in the World Wide Web
* Algorithms for Computational Molecular Biology
* Computational Models
* Multimedia Compression Methods & Systems
* Optimisation Methods
* Text Searching & Processing.

FORMAT AND ASSESSMENT Lectures; tutorials; seminars; laboratory sessions; optional career planning workshops. Assessed through: coursework; written examinations; final project report.



MODULES More information on typical programme modules.
NB it cannot be guaranteed that all modules are offered in any particular academic year. Algorithm Design & Analysis - Required Data Structures & Their Implementation In C++ - Required Parallel & Distributed Algorithms - Required Advanced Research Topics - Optional Algorithmic Issues in the World Wide Web - Optional Algorithms For Computational Molecular Biology - Optional Computational Models - Optional Cryptography & Information Security - Optional Multimedia Compression Methods & Systems - Optional Optimisation Methods - Optional Text Searching & Processing - Optional

2:1 honours UK BSc degree, or equivalent, in computer science, mathematics, physics, chemistry, electrical engineering, or a joint degree in two such subjects. Competence in a high level programming language such as Pascal, C, C++, Java, etc, to the level expected at the end of the first year of a BSc honours degree in computer science. We may lower entry qualifications for students with substantial relevant work experience. English Language Requirements CAE score: (read more) Cambridge English: Advanced (CAE) is part of the Cambridge English suite and is targeted at a high level (IETLS 6.5-8.0). It is an international English language exam set at the right level for academic and professional success. Developed by Cambridge English Language Assessment - part of the University of Cambridge - it helps you stand out from the crowd as a high achiever. 80 (Grade A)