8498 modules
Page 642
-
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 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”. -
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”. -
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. -
CHEG6009 2029-30
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. -
CHEG6009 2030-31
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. -
CHEG6002 2030-31
Process Optimisation and Control
The module aims to provide students with a detailed understanding of advanced modelling and simulation tools applied to chemical engineering. The module will develop concepts of process modelling, process design, and process control and will apply advanced mathematical modelling and optimisation to chemical engineering applications, with the aim of synthesising and optimising processes. The module will also further the students’ knowledge of advanced control techniques, and will cover methods such as feedforward, cascade, and model predictive control. The module will prepare students to deal with complex systems and to apply detailed process modelling, optimisation and control methods to a wide variety of process operations using different computational tools. -
CHEG6002 2025-26
Process Optimisation and Control
The module aims to provide students with a detailed understanding of advanced modelling and simulation tools applied to chemical engineering. The module will develop concepts of process modelling, process design, and process control and will apply advanced mathematical modelling and optimisation to chemical engineering applications, with the aim of synthesising and optimising processes. The module will also further the students’ knowledge of advanced control techniques, and will cover methods such as feedforward, cascade, and model predictive control. The module will prepare students to deal with complex systems and to apply detailed process modelling, optimisation and control methods to a wide variety of process operations using different computational tools.