11312 modules
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COMP3222 2029-30
Machine Learning Technologies
Machine Learning is about extracting useful information from large and complex datasets. The module will cover the practical basis of how learning algorithms are can be applied. You will gain hands-on experience in laboratory-bases sessions.
Exclusions: Cannot be taken with COMP3206 or COMP3223 or COMP6229 or COMP6245 or COMP6246. -
COMP3222 2026-27
Machine Learning Technologies
Machine Learning is about extracting useful information from large and complex datasets. The module will cover the practical basis of how learning algorithms are can be applied. You will gain hands-on experience in laboratory-bases sessions.
Exclusions: Cannot be taken with COMP3206 or COMP3223 or COMP6229 or COMP6245 or COMP6246. -
COMP6246 2028-29
Machine Learning Technologies (MSc)
Machine Learning is about extracting useful information from large and complex datasets. The module will cover the practical basis of how learning algorithms are can be applied. You will gain hands-on experience in laboratory-bases sessions.
Exclusions: Cannot be taken with COMP3206 or COMP3222 or COMP3223 or COMP6229 or COMP6245. -
COMP6246 2027-28
Machine Learning Technologies (MSc)
Machine Learning is about extracting useful information from large and complex datasets. The module will cover the practical basis of how learning algorithms are can be applied. You will gain hands-on experience in laboratory-bases sessions.
Exclusions: Cannot be taken with COMP3206 or COMP3222 or COMP3223 or COMP6229 or COMP6245. -
COMP6246 2025-26
Machine Learning Technologies (MSc)
Machine Learning is about extracting useful information from large and complex datasets. The module will cover the practical basis of how learning algorithms are can be applied. You will gain hands-on experience in laboratory-bases sessions.
Exclusions: Cannot be taken with COMP3206 or COMP3222 or COMP3223 or COMP6229 or COMP6245. -
COMP6246 2026-27
Machine Learning Technologies (MSc)
Machine Learning is about extracting useful information from large and complex datasets. The module will cover the practical basis of how learning algorithms are can be applied. You will gain hands-on experience in laboratory-bases sessions.
Exclusions: Cannot be taken with COMP3206 or COMP3222 or COMP3223 or COMP6229 or COMP6245. -
CHEM3040 2026-27
Macrocyclic and Bio-inorganic Chemistry
This module explores some of the distinguishing features of metal ion complexes bearing macrocyclic ligands and some of the key structural and functional roles of metal ions in biology and medicine. The module serves as an introduction to these important topics at a research level, highlighting the importance of the ligand environment in determining the reaction chemistry and applications of the metal complexes, through a combination of descriptive and problem based approaches. -
CHEM3040 2027-28
Macrocyclic and Bio-inorganic Chemistry
This module explores some of the distinguishing features of metal ion complexes bearing macrocyclic ligands and some of the key structural and functional roles of metal ions in biology and medicine. The module serves as an introduction to these important topics at a research level, highlighting the importance of the ligand environment in determining the reaction chemistry and applications of the metal complexes, through a combination of descriptive and problem based approaches. -
CHEM3040 2025-26
Macrocyclic and Bio-inorganic Chemistry
This module explores some of the distinguishing features of metal ion complexes bearing macrocyclic ligands and some of the key structural and functional roles of metal ions in biology and medicine. The module serves as an introduction to these important topics at a research level, highlighting the importance of the ligand environment in determining the reaction chemistry and applications of the metal complexes, through a combination of descriptive and problem based approaches. -
ECON2048 2027-28
Macroeconomic Policy
This module will equip students with the central concepts of macroeconomics, building on the foundations laid in the first-year Macroeconomics module. Students will gain a clear understanding of the determination of economic outcomes at an aggregate level, including the distinction between inter-temporal and intra-temporal decision making by households, firms and policymakers. The module will distinguish between long run and short run macroeconomic behaviour and present theories of economic growth as well as of short run fluctuations using dynamic macroeconomic models. Throughout the module a focus is placed on the role of economic policy for macroeconomic outcomes and on understanding booms and busts and the effects of different fiscal and monetary policies.