Module finder

This module aims to expand your statistical toolbox by exposing you to a broad set of modelling techniques to employ with data that would not satisfy the assumptions of the mainstream Linear and Generalized Linear models. The first half of the module will follow an explanatory approach, introducing Multilevel (Mixed effects) and Marginal models to understand and deal with the type of correlation found in hierarchical and longitudinal data. The second half of the module will introduce a set of modelling techniques widely used in the predictive approach, such as non-parametric regression, Generalized Additive Models (GAM), Penalized Regression or Classification and Regression Trees (CART).

This module provides a broad introduction to more advanced regression methods such as multilevel models, non-parametric and penalised regression and Generalized Additive models.
The module assumes that students are familiar with basic regression techniques such as Linear Regression and Logistic regression.

This module aims to expand your statistical toolbox by exposing you to a broad set of modelling techniques to employ with data that would not satisfy the assumptions of the mainstream Linear and Generalized Linear models. The first half of the module will follow an explanatory approach, introducing Multilevel (Mixed effects) and Marginal models to understand and deal with the type of correlation found in hierarchical and longitudinal data. The second half of the module will introduce a set of modelling techniques widely used in the predictive approach, such as non-parametric regression, Generalized Additive Models (GAM), Penalized Regression or Classification and Regression Trees (CART).

This course aims to introduce some advanced techniques that hold potential for applications in the future generations of wireless communication systems. Currently, research and development in wireless communications is focused on the sixth generation (6G), which is expected to significantly enhance 5G in both techniques and services. This course will cover several candidate techniques designed to enable 6G wireless systems.

The course begins by covering the principles of cooperative communications. Various relay/cooperation protocols are considered and analysed to demonstrate their advantages and challenges.

Next, it focuses on non-orthogonal multiple access (NOMA), a technique that allows densely deployed users (or devices) to simultaneously transmit their information.

Subsequently, the course addresses the principles of full-duplex communication, exploring the challenges of self-interference and corresponding self-interference cancellation techniques, as well as examining the potential of full-duplex for wireless system design.

Then, it introduces integrated sensing and communication (ISAC), providing several examples to explain the principles and illustrate the design trade-offs.

A review of the fundamentals of MIMO is then provided, followed by analysing the potential of MIMO for meeting the requirements of future wireless systems. A range of technical options for MIMO transceiver optimisation are discussed. Built on the above theoretical foundation, the course then covers the multi-user MIMO and massive MIMO, with the emphasis on their principles, characteristics, and implementation challenges.

Finally, the course covers millimeter wave (mmWave) communications. It begins with an overview of mmWave technology, then characterizes mmWave channels, highlighting key differences from conventional radio frequency (RF) communication channels. The course concludes with an introduction to several advanced techniques for the design and optimization of mmWave systems.

This course aims to introduce some advanced techniques that hold potential for applications in the future generations of wireless communication systems. Currently, research and development in wireless communications is focused on the sixth generation (6G), which is expected to significantly enhance 5G in both techniques and services. This course will cover several candidate techniques designed to enable 6G wireless systems.

The course begins by covering the principles of cooperative communications. Various relay/cooperation protocols are considered and analysed to demonstrate their advantages and challenges.

Next, it focuses on non-orthogonal multiple access (NOMA), a technique that allows densely deployed users (or devices) to simultaneously transmit their information.

Subsequently, the course addresses the principles of full-duplex communication, exploring the challenges of self-interference and corresponding self-interference cancellation techniques, as well as examining the potential of full-duplex for wireless system design.

Then, it introduces integrated sensing and communication (ISAC), providing several examples to explain the principles and illustrate the design trade-offs.

A review of the fundamentals of MIMO is then provided, followed by analysing the potential of MIMO for meeting the requirements of future wireless systems. A range of technical options for MIMO transceiver optimisation are discussed. Built on the above theoretical foundation, the course then covers the multi-user MIMO and massive MIMO, with the emphasis on their principles, characteristics, and implementation challenges.

Finally, the course covers millimeter wave (mmWave) communications. It begins with an overview of mmWave technology, then characterizes mmWave channels, highlighting key differences from conventional radio frequency (RF) communication channels. The course concludes with an introduction to several advanced techniques for the design and optimization of mmWave systems.

This course aims to introduce some advanced techniques that hold potential for applications in the future generations of wireless communication systems. Currently, research and development in wireless communications is focused on the sixth generation (6G), which is expected to significantly enhance 5G in both techniques and services. This course will cover several candidate techniques designed to enable 6G wireless systems.

The course begins by covering the principles of cooperative communications. Various relay/cooperation protocols are considered and analysed to demonstrate their advantages and challenges.

Next, it focuses on non-orthogonal multiple access (NOMA), a technique that allows densely deployed users (or devices) to simultaneously transmit their information.

Subsequently, the course addresses the principles of full-duplex communication, exploring the challenges of self-interference and corresponding self-interference cancellation techniques, as well as examining the potential of full-duplex for wireless system design.

Then, it introduces integrated sensing and communication (ISAC), providing several examples to explain the principles and illustrate the design trade-offs.

A review of the fundamentals of MIMO is then provided, followed by analysing the potential of MIMO for meeting the requirements of future wireless systems. A range of technical options for MIMO transceiver optimisation are discussed. Built on the above theoretical foundation, the course then covers the multi-user MIMO and massive MIMO, with the emphasis on their principles, characteristics, and implementation challenges.

Finally, the course covers millimeter wave (mmWave) communications. It begins with an overview of mmWave technology, then characterizes mmWave channels, highlighting key differences from conventional radio frequency (RF) communication channels. The course concludes with an introduction to several advanced techniques for the design and optimization of mmWave systems.

This course aims to introduce some advanced techniques that hold potential for applications in the future generations of wireless communication systems. Currently, research and development in wireless communications is focused on the sixth generation (6G), which is expected to significantly enhance 5G in both techniques and services. This course will cover several candidate techniques designed to enable 6G wireless systems.

The course begins by covering the principles of cooperative communications. Various relay/cooperation protocols are considered and analysed to demonstrate their advantages and challenges.

Next, it focuses on non-orthogonal multiple access (NOMA), a technique that allows densely deployed users (or devices) to simultaneously transmit their information.

Subsequently, the course addresses the principles of full-duplex communication, exploring the challenges of self-interference and corresponding self-interference cancellation techniques, as well as examining the potential of full-duplex for wireless system design.

Then, it introduces integrated sensing and communication (ISAC), providing several examples to explain the principles and illustrate the design trade-offs.

A review of the fundamentals of MIMO is then provided, followed by analysing the potential of MIMO for meeting the requirements of future wireless systems. A range of technical options for MIMO transceiver optimisation are discussed. Built on the above theoretical foundation, the course then covers the multi-user MIMO and massive MIMO, with the emphasis on their principles, characteristics, and implementation challenges.

Finally, the course covers millimeter wave (mmWave) communications. It begins with an overview of mmWave technology, then characterizes mmWave channels, highlighting key differences from conventional radio frequency (RF) communication channels. The course concludes with an introduction to several advanced techniques for the design and optimization of mmWave systems.

In the last 30 years derivatives have become increasingly important in finance and many different types of derivatives are actively traded on exchanges throughout the world. This module explores the pricing and use of forwards, futures and options with a particular focus on contracts where the underlying asset is a financial asset - for example, a stock index (i.e. stock index futures or stock index options). Students will learn how to price these derivatives using various techniques as well as understand how we can use them for (i) speculation, (ii) hedging strategies and (iii) arbitrage. The nature of the subject makes the module more suitable for students with a solid background in mathematics and familiarity with differential calculus and systems of equations.

In the last 30 years derivatives have become increasingly important in finance and many different types of derivatives are actively traded on exchanges throughout the world. This module explores the pricing and use of forwards, futures and options with a particular focus on contracts where the underlying asset is a financial asset - for example, a stock index (i.e. stock index futures or stock index options). Students will learn how to price these derivatives using various techniques as well as understand how we can use them for (i) speculation, (ii) hedging strategies and (iii) arbitrage. The nature of the subject makes the module more suitable for students with a solid background in mathematics and familiarity with differential calculus and systems of equations.

In the last 30 years derivatives have become increasingly important in finance and many different types of derivatives are actively traded on exchanges throughout the world. This module explores the pricing and use of forwards, futures and options with a particular focus on contracts where the underlying asset is a financial asset - for example, a stock index (i.e. stock index futures or stock index options). Students will learn how to price these derivatives using various techniques as well as understand how we can use them for (i) speculation, (ii) hedging strategies and (iii) arbitrage. The nature of the subject makes the module more suitable for students with a solid background in mathematics and familiarity with differential calculus and systems of equations.