8546 modules
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CENV3067 2027-28
Structural Stability and Finite Element Analysis
This module builds on the structural mechanics, analysis and design modules in Parts 1 and 2. It covers structural stability and the influence of material and geometric nonlinearity; it also introduces the theory and underlying principles of the finite element method as applied to the analysis of structures. -
CENV3067 2028-29
Structural Stability and Finite Element Analysis
This module builds on the structural mechanics, analysis and design modules in Parts 1 and 2. It covers structural stability and the influence of material and geometric nonlinearity; it also introduces the theory and underlying principles of the finite element method as applied to the analysis of structures. -
CHEM1048 2025-26
Structure and Bonding
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MATH6140 2026-27
Structure and Dynamics of Networks
Networks are ubiquitous in the modern world: from the biological networks that regulate cell behaviour, to technological networks such as the Internet and social networks such as Facebook. Typically real-world networks are large, complex, and exhibit both random and regular properties, making them both challenging and interesting to model. This course is an introduction to the structure and dynamics of networks, as a modelling tool in applied mathematics. -
MATH6140 2028-29
Structure and Dynamics of Networks
Networks are ubiquitous in the modern world: from the biological networks that regulate cell behaviour, to technological networks such as the Internet and social networks such as Facebook. Typically real-world networks are large, complex, and exhibit both random and regular properties, making them both challenging and interesting to model. This course is an introduction to the structure and dynamics of networks, as a modelling tool in applied mathematics. -
MATH6140 2025-26
Structure and Dynamics of Networks
Networks are ubiquitous in the modern world: from the biological networks that regulate cell behaviour, to technological networks such as the Internet and social networks such as Facebook. Typically real-world networks are large, complex, and exhibit both random and regular properties, making them both challenging and interesting to model. This course is an introduction to the structure and dynamics of networks, as a modelling tool in applied mathematics. -
MATH6140 2029-30
Structure and Dynamics of Networks
Networks are ubiquitous in the modern world: from the biological networks that regulate cell behaviour, to technological networks such as the Internet and social networks such as Facebook. Typically real-world networks are large, complex, and exhibit both random and regular properties, making them both challenging and interesting to model. This course is an introduction to the structure and dynamics of networks, as a modelling tool in applied mathematics. -
MATH3090 2027-28
Structure and Dynamics of Networks
Networks are ubiquitous in the modern world: from the biological networks that regulate cell behaviour, to technological networks such as the Internet and social networks such as Facebook. Typically real-world networks are large, complex, and exhibit both random and regular properties, making them both challenging and interesting to model. This course is an introduction to the structure and dynamics of networks, as a modelling tool in applied mathematics. -
MATH3090 2028-29
Structure and Dynamics of Networks
Networks are ubiquitous in the modern world: from the biological networks that regulate cell behaviour, to technological networks such as the Internet and social networks such as Facebook. Typically real-world networks are large, complex, and exhibit both random and regular properties, making them both challenging and interesting to model. This course is an introduction to the structure and dynamics of networks, as a modelling tool in applied mathematics. -
BIOL6078 2025-26
Structure and Function of the Nervous System
This module will provide a detailed understanding of the structure and function of the nervous system. Starting with nervous system development and then focusing on the adult nervous system, students will learn about the gross anatomy of the human brain and spinal cord and its constituent systems including autonomic, sensory, visual, auditory, somatosensory, olfactory and limbic systems. Lectures will also be given about the vasculature, ventricles and CSF. Lectures will be supplemented by hands-on neuroanatomy practicals which will be conducted in the purpose-built dissection labs in the Faculty of Medicine, in addition to supplementary small group tutorials to reinforce the lecture material.