![]() ![]() Optimisation technology is ubiquitous in today's world, for applications in logistics, finance, manufacturing, workforce planning, product selection, healthcare, and any other area where the limited resources must be used efficiently. In this module, you will learn to interpret and develop algebraic models for a variety of real-world linear and discrete optimisation problems to then use powerful optimization software (linear, integer and mixed-integer solvers) to produce a solution. This module provides an entry point to computational optimisation techniques, in particular for modelling and solving linear and discrete optimisation problems like diet optimisation, network flows, task assignment, scheduling, bin-packing, travelling salesmen, facility location, vehicle routing and related problems. The coursework consists of the implementation of some of the data types and algorithms on them. ![]() The theory is practised in labs sessions where you will learn how to implement the algorithms and data structures as functional and imperative programs (using the languages Haskell and C), and apply these to solve large instances of real-world problems. the page-rank algorithm (from Google search).public-key cryptography (the RSA cryptosystem).string algorithms (string matching, longest common subsequence).Īmong the special topics relevant to contemporary application, we can study:.priority queues (binary, leftist and Fibonacci heaps).graph-algorithms (eg shortest path, maximum flows).You will study some modern algorithms that are widely used in contemporary software. This module covers data structures, efficient algorithms on them and ways to determine their complexity. The effect of virtual audiences on music performance anxiety.Development of location-based service for education.This can be with industry partners or with one of our expert research groups. You will undertake an individual research project in an area of your choice. ![]() ![]() This allows you to study a topic that interests you. We offer a range of flexible optional modules. They use this to teach you the latest techniques and technologies in this field.ĭevelop your knowledge in key topics such as statistical modelling, machine learning and advanced algorithms. Our academics conduct their own international-quality research. This interdisciplinary masters will be taught by the Schools of Computer Science and Mathematical Sciences. This course gives you the professional and problem-solving skills for a range of high-level careers. The need for expert and ethically-informed data analysis is in high demand across many industries. Impact: The Nottingham Campaign, its biggest ever fundraising campaign, will deliver the University’s vision to change lives, tackle global issues and shape the future.Big data is playing an increasingly important role in our society. The University won a Queen’s Anniversary Prize for Higher and Further Education for its research into global food security. The University aims to be recognised around the world for its signature contributions, especially in global food security, energy & sustainability, and health. More than 90 per cent of research at The University of Nottingham is of international quality, according to the most recent Research Assessment Exercise. It is ranked in the World’s Top 75 universities by the QS World University Rankings. It is also one of the most popular universities among graduate employers, one of the world’s greenest universities, and winner of the Times Higher Education Award for ‘Outstanding Contribution to Sustainable Development’. The University of Nottingham has 42,000 students and is ‘the nearest Britain has to a truly global university, with campuses in China and Malaysia modelled on a headquarters that is among the most attractive in Britain’ (Times Good University Guide 2014). ![]()
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