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This module will outline fundamental biochemistry of plants, microbes and environmental processes.

This module will outline fundamental biochemistry of plants, microbes and environmental processes.

This course explores the use of mathematics as a toolbox for engineers to calculate, model, visualise and design physical systems. The focus is on solving physical problems via equations, both analytically and numerically using computation, along with developing representations and visualisations as a way of presenting solutions and designs.

This course explores the use of mathematics as a toolbox for engineers to calculate, model, visualise and design physical systems. The focus is on solving physical problems via equations, both analytically and numerically using computation, along with developing representations and visualisations as a way of presenting solutions and designs.

This module will introduce the student to key topics within control and signal processing, developing understanding through a combination of theoretical content and practical application.

The theoretical content is focussed in a number of key themes within the areas of system identification and control, encompassing fundamental theory together with application examples and case-studies. Emphasis is placed on guided background reading using supplied references and worked examples, to broaden and expand underlying knowledge, and enable students to apply it to practical situations.

The second component of the module involves working in small groups to apply these techniques to real-world systems, and is supported through core material related to real-time hardware and the practical implementation of signal processing and control schemes. Each group will be given a practical control problem which will require design, implementation, and experimental evaluation of the theoretical approaches studied. This motivates and stimulates deep understanding of the theory through direct practical experience, and allows students to directly come into contact with and address issues related to real-world implementation.

In the final component of the module, each group will present details of their practical work in a seminar to their peers, describing the experimental design process, additional theoretical content, implementation issues encountered, and the experimental results gained. This will enable them to critically evaluate the approaches of others.

This module will introduce the student to key topics within control and signal processing, developing understanding through a combination of theoretical content and practical application.

The theoretical content is focussed in a number of key themes within the areas of system identification and control, encompassing fundamental theory together with application examples and case-studies. Emphasis is placed on guided background reading using supplied references and worked examples, to broaden and expand underlying knowledge, and enable students to apply it to practical situations.

The second component of the module involves working in small groups to apply these techniques to real-world systems, and is supported through core material related to real-time hardware and the practical implementation of signal processing and control schemes. Each group will be given a practical control problem which will require design, implementation, and experimental evaluation of the theoretical approaches studied. This motivates and stimulates deep understanding of the theory through direct practical experience, and allows students to directly come into contact with and address issues related to real-world implementation.

In the final component of the module, each group will present details of their practical work in a seminar to their peers, describing the experimental design process, additional theoretical content, implementation issues encountered, and the experimental results gained. This will enable them to critically evaluate the approaches of others.

This module will introduce the student to key topics within control and signal processing, developing understanding through a combination of theoretical content and practical application.

The theoretical content is focussed in a number of key themes within the areas of system identification and control, encompassing fundamental theory together with application examples and case-studies. Emphasis is placed on guided background reading using supplied references and worked examples, to broaden and expand underlying knowledge, and enable students to apply it to practical situations.

The second component of the module involves working in small groups to apply these techniques to real-world systems, and is supported through core material related to real-time hardware and the practical implementation of signal processing and control schemes. Each group will be given a practical control problem which will require design, implementation, and experimental evaluation of the theoretical approaches studied. This motivates and stimulates deep understanding of the theory through direct practical experience, and allows students to directly come into contact with and address issues related to real-world implementation.

In the final component of the module, each group will present details of their practical work in a seminar to their peers, describing the experimental design process, additional theoretical content, implementation issues encountered, and the experimental results gained. This will enable them to critically evaluate the approaches of others.

This module will introduce the student to key topics within control and signal processing, developing understanding through a combination of theoretical content and practical application.

The theoretical content is focussed in a number of key themes within the areas of system identification and control, encompassing fundamental theory together with application examples and case-studies. Emphasis is placed on guided background reading using supplied references and worked examples, to broaden and expand underlying knowledge, and enable students to apply it to practical situations.

The second component of the module involves working in small groups to apply these techniques to real-world systems, and is supported through core material related to real-time hardware and the practical implementation of signal processing and control schemes. Each group will be given a practical control problem which will require design, implementation, and experimental evaluation of the theoretical approaches studied. This motivates and stimulates deep understanding of the theory through direct practical experience, and allows students to directly come into contact with and address issues related to real-world implementation.

In the final component of the module, each group will present details of their practical work in a seminar to their peers, describing the experimental design process, additional theoretical content, implementation issues encountered, and the experimental results gained. This will enable them to critically evaluate the approaches of others.

This module will introduce the student to key topics within control and signal processing, developing understanding through a combination of theoretical content and practical application.

The theoretical content is focussed in a number of key themes within the areas of system identification and control, encompassing fundamental theory together with application examples and case-studies. Emphasis is placed on guided background reading using supplied references and worked examples, to broaden and expand underlying knowledge, and enable students to apply it to practical situations.

The second component of the module involves working in small groups to apply these techniques to real-world systems, and is supported through core material related to real-time hardware and the practical implementation of signal processing and control schemes. Each group will be given a practical control problem which will require design, implementation, and experimental evaluation of the theoretical approaches studied. This motivates and stimulates deep understanding of the theory through direct practical experience, and allows students to directly come into contact with and address issues related to real-world implementation.

In the final component of the module, each group will present details of their practical work in a seminar to their peers, describing the experimental design process, additional theoretical content, implementation issues encountered, and the experimental results gained. This will enable them to critically evaluate the approaches of others.

The module will enable you to apply statistical and econometric techniques to the estimation and testing of economic models and for causal inference. It will thereby provide you with the skills necessary both to undertake your own empirical studies and to evaluate empirical work in the published literature.