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From the aftermath of the English Civil War in the seventeenth century to the cultural legacies of the nineteenth century, the literature of the long eighteenth and nineteenth centuries is marked by intense negotiations between desire and decay. The drive for improvement, pleasure and reform, is mirrored by a fear of excess, decline, and disorder. This module explores how writers responded to periods of social transformation, imperial expansion, scientific change, and political upheaval by imagining new forms of intimacy, morality, identity, and aesthetic value.

Themes to be explored are likely to include both dramatic moments of historical change and the slower, often contested, reworking of social and natural orders. We may explore:

• the education debate, sensibility, and new forms of desire in the novel;

• the expansion of print culture and the professionalisation of literature;

• growing interest in the marginal, the transgressive, and the non-canonical

• the challenges posed by the Romantic and Victorian periods to Enlightenment ideals of reason and progress.

This module aims to introduce the student to the main deterministic techniques that are used in operational research, namely linear and integer programming, dynamic programming, machine scheduling, project networks, and heuristics. The process of modelling problems of a practical nature as a linear or integer program will be developed. Following an explanation of a standard version of the simplex method, some of its variants will be introduced. The main ideas of linear programming duality
will also be explained. A computer workshop session trains students in the use of commercial linear programming software. The branch and bound approach for solving integer programming problems will also be developed. Dynamic programming will be introduced as a technique for tackling problems in which decisions can be made sequentially. For machine scheduling, the main focus will be to introduce the main problem types, and develop solution procedures for selected models. For project networks, the representation of projects as networks and methods for analysing such networks will be covered. Following a discussion of the reasons for using heuristic methods for complex problems, a
discussion of the properties of good heuristics will be given. Some of the design principles for heuristics will be explained, and local search heuristics will be discussed.

One of the pre-requisites for MATH6158

This module aims to introduce the student to the main deterministic techniques that are used in operational research, namely linear and integer programming, dynamic programming, machine scheduling, project networks, and heuristics. The process of modelling problems of a practical nature as a linear or integer program will be developed. Following an explanation of a standard version of the simplex method, some of its variants will be introduced. The main ideas of linear programming duality
will also be explained. A computer workshop session trains students in the use of commercial linear programming software. The branch and bound approach for solving integer programming problems will also be developed. Dynamic programming will be introduced as a technique for tackling problems in which decisions can be made sequentially. For machine scheduling, the main focus will be to introduce the main problem types, and develop solution procedures for selected models. For project networks, the representation of projects as networks and methods for analysing such networks will be covered. Following a discussion of the reasons for using heuristic methods for complex problems, a
discussion of the properties of good heuristics will be given. Some of the design principles for heuristics will be explained, and local search heuristics will be discussed.

One of the pre-requisites for MATH6158

This module aims to introduce the student to some of the main deterministic techniques that are used in operational research, namely linear and integer programming. The process of modelling problems of a practical nature as a linear or integer program will be developed. Following an explanation of a standard version of the simplex method, some of its variants will be introduced. The main ideas of linear programming duality will also be explained. A computer workshop session trains students in the use of commercial linear programming software. The branch and bound approach for solving integer programming problems will also be developed.

This module aims to introduce the student to some of the main deterministic techniques that are used in operational research, namely linear and integer programming. The process of modelling problems of a practical nature as a linear or integer program will be developed. Following an explanation of a standard version of the simplex method, some of its variants will be introduced. The main ideas of linear programming duality will also be explained. A computer workshop session trains students in the use of commercial linear programming software. The branch and bound approach for solving integer programming problems will also be developed.

This module aims to introduce the student to some of the main deterministic techniques that are used in operational research, namely linear and integer programming. The process of modelling problems of a practical nature as a linear or integer program will be developed. Following an explanation of a standard version of the simplex method, some of its variants will be introduced. The main ideas of linear programming duality will also be explained. A computer workshop session trains students in the use of commercial linear programming software. The branch and bound approach for solving integer programming problems will also be developed.