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MATH6122 2026-27
Probability and Mathematical Statistics
The module is designed for postgraduate students whose first degree is in Mathematics or another discipline where development of mathematical skills is a significant component (Science, Engineering, Economics, Quantitative Social Sciences). While the material covered is similar in technical level to that which might be found in an undergraduate mathematics curriculum, the quantity of material is much larger, and the pace of delivery correspondingly much faster. Hence the module requires students to have developed study skills to graduate level.
The module is comprised of three submodules, in probability and distribution theory, statistical inference and statistical modelling, as described in the syllabus below. -
COMP6261 2025-26
Probability in Computing
Computer Science has evolved significantly over the past decades, and various subfields require a strong foundation in probability. Such fondation is important in studying randomized algorithms, algorithm analysis, approximation algorithms and artificial Intelligence. -
COMP6261 2026-27
Probability in Computing
Computer Science has evolved significantly over the past decades, and various subfields require a strong foundation in probability. Such fondation is important in studying randomized algorithms, algorithm analysis, approximation algorithms and artificial Intelligence. -
COMP6261 2028-29
Probability in Computing
Computer Science has evolved significantly over the past decades, and various subfields require a strong foundation in probability. Such fondation is important in studying randomized algorithms, algorithm analysis, approximation algorithms and artificial Intelligence. -
COMP6261 2029-30
Probability in Computing
Computer Science has evolved significantly over the past decades, and various subfields require a strong foundation in probability. Such fondation is important in studying randomized algorithms, algorithm analysis, approximation algorithms and artificial Intelligence. -
MANG2007 2027-28
Problem Structuring Methods
This module provides an introduction to problem structuring methods (PSMs): methods which can be used to assist individuals and teams in developing their understanding of the messy problems which are the reality of organisational life. Such methods tend to be qualitative rather than quantitative, and focus on building models, often pictorial or diagrammatic, in which the “wild and wicked” complexity, uncertainty and subjectivity of real problems are represented and “tamed”. -
MANG2007 2026-27
Problem Structuring Methods
This module provides an introduction to problem structuring methods (PSMs): methods which can be used to assist individuals and teams in developing their understanding of the messy problems which are the reality of organisational life. Such methods tend to be qualitative rather than quantitative, and focus on building models, often pictorial or diagrammatic, in which the “wild and wicked” complexity, uncertainty and subjectivity of real problems are represented and “tamed”. -
CHEG2002 2027-28
Process Control and Safety
The primary objective of process control is to maintain and regulate the output of a process within desired or optimal parameters. In other words, process control involves managing and manipulating several factors and variables in a system to ensure that the output meets specific criteria, such as quality, efficiency, safety, and consistency. -
CHEG2002 2026-27
Process Control and Safety
The primary objective of process control is to maintain and regulate the output of a process within desired or optimal parameters. In other words, process control involves managing and manipulating several factors and variables in a system to ensure that the output meets specific criteria, such as quality, efficiency, safety, and consistency. -
CHEG6009 2028-29
Process Integration and Intensification
Process intensification (PI) is the down-scaling of a process to a smaller volume whilst retaining performancerepresenting an opportunity to create processes that are more energy efficient, cleaner, and sustainable. PI has the potential to revolutionise the way chemical plants are designed and operated.