11311 modules
Page 1000
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SSPC6910 2025-26
Statistical Learning in Practice
Statistical learning and data science provide us with new forms of data and powerful new analysis tools. Advances in AI have allowed huge improvements in our ability to predict, but at the same time, these methods and data sources generate important ethical issues that we must consider. This module will provide students with the tools to appreciate the power of AI but also its limitations, and to be able to understand which AI tools might be suitable for particular tasks. -
SSPC6910 2027-28
Statistical Learning in Practice
Statistical learning and data science provide us with new forms of data and powerful new analysis tools. Advances in AI have allowed huge improvements in our ability to predict, but at the same time, these methods and data sources generate important ethical issues that we must consider. This module will provide students with the tools to appreciate the power of AI but also its limitations, and to be able to understand which AI tools might be suitable for particular tasks. -
PHYS2024 2026-27
Statistical Mechanics
Statistical mechanics links the microscopic properties of physical systems to their macroscopic properties. Thermodynamics, which describes macroscopic properties, can then be derived from statistical mechanics with a few well motivated postulates. It leads to a microscopic interpretation of thermodynamic concepts, such as thermal equilibrium, temperature and entropy. In the course the basic principles of statistical mechanics will be introduced with applications to the physics of matter. -
PHYS2024 2027-28
Statistical Mechanics
Statistical mechanics links the microscopic properties of physical systems to their macroscopic properties. Thermodynamics, which describes macroscopic properties, can then be derived from statistical mechanics with a few well motivated postulates. It leads to a microscopic interpretation of thermodynamic concepts, such as thermal equilibrium, temperature and entropy. In the course the basic principles of statistical mechanics will be introduced with applications to the physics of matter. -
PHYS2024 2028-29
Statistical Mechanics
Statistical mechanics links the microscopic properties of physical systems to their macroscopic properties. Thermodynamics, which describes macroscopic properties, can then be derived from statistical mechanics with a few well motivated postulates. It leads to a microscopic interpretation of thermodynamic concepts, such as thermal equilibrium, temperature and entropy. In the course the basic principles of statistical mechanics will be introduced with applications to the physics of matter. -
MANG1028 2025-26
Statistical Methods for Finance
Statistical Methods for Finance is a critical module for you to learn basics for future modules on Econometrics, as well as their final year dissertation. This module covers important topics such as probability, discrete and random variables, Probability distributions, normal distribution, hypothesis testing, graphical analysis, correlation and simple regression. Lectures are followed by in-depth practical examples using tools that show the real world implications. -
MANG1028 2026-27
Statistical Methods for Finance
Statistical Methods for Finance is a critical module for you to learn basics for future modules on Econometrics, as well as their final year dissertation. This module covers important topics such as probability, discrete and random variables, Probability distributions, normal distribution, hypothesis testing, graphical analysis, correlation and simple regression. Lectures are followed by in-depth practical examples using tools that show the real world implications. -
MANG1028 2027-28
Statistical Methods for Finance
Statistical Methods for Finance is a critical module for you to learn basics for future modules on Econometrics, as well as their final year dissertation. This module covers important topics such as probability, discrete and random variables, Probability distributions, normal distribution, hypothesis testing, graphical analysis, correlation and simple regression. Lectures are followed by in-depth practical examples using tools that show the real world implications. -
MATH6006 2027-28
Statistical Methods for OR Modelling
The main aim of the module is to provide the students with necessary knowledge of statistics and stochastic processes to carry out simple statistical procedures and to be able to develop simulation and other models widely employed in OR. The model is split into two parts: Statistics and Stochastic Processes. -
MATH6006 2026-27
Statistical Methods for OR Modelling
The main aim of the module is to provide the students with necessary knowledge of statistics and stochastic processes to carry out simple statistical procedures and to be able to develop simulation and other models widely employed in OR. The model is split into two parts: Statistics and Stochastic Processes.