11318 modules
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CHEM6177 2025-26
Battery Materials and Characterisation
This module examines key features of cell design and of materials used in batteries. It links this to a range of techniques that are commonly used to study cell architecture and structure, composition and surface chemistry of battery materials. Emphasis is placed on the operando use of these techniques and on reading of the associated literature. -
CHEM6174 2029-30
Battery Technologies and Their Applications
The development of energy storage technologies plays a critical role in the transition to an environmentally sustainable society and improving people's quality of living. Energy storage technologies are necessary in a variety of very important applications such as the storage of energy from renewable energy resources, electrification of transport, portable devices, etc. In this module you will learn about the main applications of battery technologies and their specific requirements, as well as the strategies that are currently under development to make better batteries, and the decisive factors that guide the choice of different battery chemistries for different applications. -
CHEM6150 2026-27
Battery Technologies and their Applications
The development of energy storage technologies plays a critical role in the transition to an environmentally sustainable society and improving people's quality of living. Energy storage technologies are necessary in a variety of very important applications such as the storage of energy from renewable energy resources, electrification of transport, portable devices, etc. In this module you will learn about the main applications of battery technologies and their specific requirements, as well as the strategies that are currently under development to make better batteries, and the decisive factors that guide the choice of different battery chemistries for different applications. -
CHEM6174 2030-31
Battery Technologies and Their Applications
The development of energy storage technologies plays a critical role in the transition to an environmentally sustainable society and improving people's quality of living. Energy storage technologies are necessary in a variety of very important applications such as the storage of energy from renewable energy resources, electrification of transport, portable devices, etc. In this module you will learn about the main applications of battery technologies and their specific requirements, as well as the strategies that are currently under development to make better batteries, and the decisive factors that guide the choice of different battery chemistries for different applications. -
CHEM6150 2025-26
Battery Technologies and their Applications
The development of energy storage technologies plays a critical role in the transition to an environmentally sustainable society and improving people's quality of living. Energy storage technologies are necessary in a variety of very important applications such as the storage of energy from renewable energy resources, electrification of transport, portable devices, etc. In this module you will learn about the main applications of battery technologies and their specific requirements, as well as the strategies that are currently under development to make better batteries, and the decisive factors that guide the choice of different battery chemistries for different applications. -
COMP6257 2027-28
Bayesian, Active & Reinforcement Learning
To gain an in-depth theoretical and practical understanding of Bayesian inference and active learning, and their applications. -
COMP6257 2026-27
Bayesian, Active & Reinforcement Learning
To gain an in-depth theoretical and practical understanding of Bayesian inference and active learning, and their applications. -
COMP6257 2028-29
Bayesian, Active & Reinforcement Learning
To gain an in-depth theoretical and practical understanding of Bayesian inference and active learning, and their applications. -
COMP6257 2029-30
Bayesian, Active & Reinforcement Learning
To gain an in-depth theoretical and practical understanding of Bayesian inference and active learning, and their applications. -
COMP6257 2025-26
Bayesian, Active & Reinforcement Learning
To gain an in-depth theoretical and practical understanding of Bayesian inference and active learning, and their applications.