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You can experiment with speech recognition, voice synthesis, text summarisation, machine translation, robot learning and control, computational biology or virtual reality. As well as learning to phd dissertation introduction and think analytically, you'll be encouraged to work in teams and develop your communication skills. In bsc computer science dissertation third year, you'll complete a dissertation project, giving you scope for creative and intellectual input.

This course is accredited by the British Computer Society. The courses fully meet the requirements bsc computer science dissertation Chartered Information Technology Professional and partially meet the requirements for Chartered Engineer. The modules listed below are examples from the phd dissertation introduction academic year.

There may be some changes before you start your course. For the very latest module information, check with the department directly. Core modules:. The course consists of around 10 blocks of weeks work each. Each block develops mathematical concepts and techniques that are of foundational importance to computing. Lectures and problem classes will be used. The intention is to enthuse about these topics, to demonstrate why they are important to us, to lay the foundations of their knowledge and prepare students for future computing courses.

It is not expected that the course will cover ALL of the maths that is needed later either in terms of depth or scope. This module introduces the Software Engineering concepts that are needed to develop software systems that can meet basic functional requirements within a given problem cant do my homework. It covers the main steps in the process of developing such systems, from requirements analysis through to their implementation and testing. A major part of the module involves students working in teams to develop a web-based software system, which gives practical experience in teamwork and managing software projects bsc computer science dissertation their products.

This module introduces programming concepts through the Java programming language. Program design and the use of testing to drive program creation are also covered. Initial focus is placed on the structured aspects typical of many programming languages: the ideas of a sequence, selection and repetition. The object-oriented approach bsc computer science dissertation building large software systems from components is then presented. Bsc computer science dissertation the binding of dissertations london, emphasis is placed on the practice of writing well-structured bsc computer science dissertation readable programs to solve problems.

This module provides an introduction to Artificial Intelligence, and to key concepts and problems in the field, such as msc civil engineering dissertation a computer is capable of understanding, and whether humans should themselves be bsc computer science dissertation as machines. It also provides a brief historical overview of the subject and reviews the state-of-the-art and open questions in some of the major sub-areas of AI, pointing out connections to research work in the Department.

As well as providing a first encounter with the main issues that underlie attempts to create Artificial Intelligence, the module also has a more practical component that introduces algorithms and data structures for AI problem solving through practical programming examples, as well as hands-on experience with simple programming of robots. The emphasis here is on identifying the abstract nature of the problem that bsc computer science dissertation to be solved, matching this to an appropriate algorithm or technique and implementing a solution. It also serves as an introduction to programming for research rather than for software engineering. Algorithms and algorithmic problem solving are at the heart of computer science.

This module introduces students to the design and analysis of efficient algorithms and data bsc computer science dissertation. Students learn how bsc computer science dissertation quantify the efficiency of an algorithm and what algorithmic solutions are bsc computer science dissertation. Techniques for designing efficient algorithms are taught, including efficient data structures for storing and retrieving data. This is done using illustrative how to write a essay writing fundamental problems: searching, sorting, graph algorithms, and combinatorial problems such as finding the shortest paths in networks. This module is for students studying Computer Science bsc computer science dissertation a main subject.

The Web bsc computer science dissertation the Internet are now pervasive in modern life, providing an information resource, and promoting novel, interactive solutions to computing-related activities. This module will cover, the technologies that are used bsc computer science dissertation Web development, with an emphasis on building a simple interactive website using HTML, CSS and JavaScript and give an introduction to bsc computer science dissertation security. The Faculty-wide Global Engineering Challenge Week is a compulsory part of the first-year programme, and the project has been designed to develop student academic, transferable and employability skills as well as widen their horizons as global citizens.

Working in multi-disciplinary groups of six, for a full week, all students in the Faculty choose from a number of projects arranged under a range of themes including Water, ICT, Waste Management and Energy with scenarios set in a developing country. Students are assessed on a number of aspects of being a professional engineer both by Faculty alumni and a number of local industrial engineers. It provides students with the opportunity to learn about design, teamwork and communication dissertation umi proquest real, inspiring, sustainable and cross-cultural development projects. By participating in the EWB Challenge students are presented with a fantastic opportunity to design creative solutions to problems identified by real EWB projects.

Each year, the EWB Challenge bsc computer science dissertation brief is. Optional modules:. This module runs throughout the academic year, starting in Autumn and ending in Spring. The module consists of two parts. In the first, important elements of computer architecture are covered including digital logic, computer arithmetic and instruction set architecture. The approach in the module is to show how the basic elements of a computer are constructed and combined to give sophisticated architectures that support accelerated performance via cache memory and pipelining.

Cover letter samples word format module introduces the mathematical and logical foundations and tools for modelling and analysing computing best math homework help, including state machines, formal languages, logics, proof systems, and proof search procedures. This module is intended to serve as an introduction to machine learning and pattern processing, but with a clear emphasis on applications.

The module is themed bsc computer science dissertation the notion of data as a resource; how it is acquired, prepared bsc computer science dissertation analysis and finally how we can learn from it. The module will bsc computer science dissertation a practical Python-based approach to try and help students develop an intuitive grasp of the sophisticated mathematical ideas that underpin this challenging but fascinating subject.

This module is concerned with the design and implementation of effective human-machine interaction and the technology underpinning contemporary robotics. These areas intersect in bsc computer science dissertation field of human-robot interaction. The course has a multidisciplinary content spanning bsc computer science dissertation, human factors, computer science and robotics. The Software Hut a microcosm accounting ghostwriting websites a real Software Bsc computer science dissertation gives students an opportunity to experience the processes of engineering a real software system for a real client in a competitive environment.

The taught element bsc computer science dissertation the tools and technologies needed to manage software development projects successfully and to deliver software products that meet both client expectations and quality standards. Topics that are put into practice include: the requirements engineering process; software modelling and testing; using specific software development framework bsc computer science dissertation ; group project management etc.

Tutorials take the form of project meetings, and so are concerned with team management, conduct of meetings and action bsc computer science dissertation. This module provides a grounding in software systems design, highlighting security issues. Topics include: choice of bsc computer science dissertation lifecycle, customer-developer interaction, requirements capture, information management, database design, functional design, design patterns, software architectures, user interfaces, data validation, software verification and testing.

Security topics include: threats, countermeasures, policies and technologies. The writing custom tag libraries java are complemented by an integrating team-project. This bsc computer science dissertation introduces the principles of functional programming, using the Haskell programming language. It introduces types and bsc computer science dissertation, function definitions, list comprehension, bsc computer science dissertation and higher order functions, eager and lazy evaluation, and basic data types. This module introduces the foundations of logic in computer science.

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Working in multi-disciplinary groups of about six, students will work in interdisciplinary teams on a real world problem over an intensive week-long project. The projects are based acknowledgement in dissertation problems provided by industrial partners, and students will come up with ideas to solve them and proposals for a project to develop these ideas further. In the individual research project, you will complete a major original piece of software design, elementary essay contest an experimental investigation. This work will be reported formally in a research dissertation and also presented at a project presentation session, to which industrial representatives, students and academics are invited.

The work will include an Interim report that consists of an initial survey and literature review. You will be engaged in a major piece of software development, or the design and execution of an empirical experiment. You will have regular meetings with your supervisor, who will advise on any problems you encounter. You will prepare an 7, word dissertation, which includes the material from the interim report, but also bsc computer science dissertation a complete design, implementation and evaluation of the results of your project. This may be assessed by oral examination. The module is designed to introduce engineering bsc computer science dissertation to some of the key financial and legal issues that engineers are likely to encounter in their working environment.

Abstract of research paper a series of parallel running lectures in the two disciplines, the module will provide a working knowledge of the two areas and how they impinge on engineering practice. There will be a heavy emphasis on group working, report writing and presentation as part of the assessment supplemented by online exercises and an individual portfolio. This module is an introduction to the techniques used in modern 3D computer graphics. It deals with fundamental techniques that are the basis of work in a range of industries, e. Both basic and advanced topics concerned with the production of images of abstract 3D objects are covered, including: 3D representations and manipulations in graphics, light reflection models, realism techniques such as shadows bsc computer science dissertation textures, ray tracing and 3D animation.

Students should be aware that there are limited places available on this course. This course will examine the theme of bio-inspired Machine Learning bsc computer science dissertation in particular of Unsupervised and Reinforcement Bsc computer science dissertation in Neural Networks. The first half of the course covers Unsupervised algorithms Clustering, Principal Component Analysis that could potentially have bsc computer science dissertation counterparts in the human or animal brain. The second half of the course introduces the theory of Reinforcement Learning in a simple and intuitive way, and more specifically Temporal Difference learning and the SARSA algorithm.

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