11357 modules
Page 1043
-
BIOL6034 2030-31
Systems Neuroscience
This module seeks to expose students to research level studies in a number of areas related to the function of the nervous system, necessary to understand the pathophysiology of neurological conditions. The course will describe CNS development, and the structure and functions of neural cell populations; research into the mechanisms underlying learning & memory; and analyses of neural circuits controlling behaviour. Following this module, students will be expected to be able to integrate their understanding of cellular properties into coherent concepts of system level functions and be able to evaluate examples of current research in this field. -
BIOL6034 2027-28
Systems Neuroscience
This module seeks to expose students to research level studies in a number of areas related to the function of the nervous system, necessary to understand the pathophysiology of neurological conditions. The course will describe CNS development, and the structure and functions of neural cell populations; research into the mechanisms underlying learning & memory; and analyses of neural circuits controlling behaviour. Following this module, students will be expected to be able to integrate their understanding of cellular properties into coherent concepts of system level functions and be able to evaluate examples of current research in this field. -
BIOL6034 2028-29
Systems Neuroscience
This module seeks to expose students to research level studies in a number of areas related to the function of the nervous system, necessary to understand the pathophysiology of neurological conditions. The course will describe CNS development, and the structure and functions of neural cell populations; research into the mechanisms underlying learning & memory; and analyses of neural circuits controlling behaviour. Following this module, students will be expected to be able to integrate their understanding of cellular properties into coherent concepts of system level functions and be able to evaluate examples of current research in this field. -
BIOL3020 2027-28
Systems Neuroscience
The aim of this module is to expose students to research level studies in a number of areas related to the function of the nervous system, necessary to understand the pathophysiology of neurological conditions. The course will describe CNS development, and the structure and functions of neural cell populations. Following this, research into the mechanisms underlying learning & memory will be discussed, as will analyses of neural circuits controlling behaviour. -
BIOL6034 2025-26
Systems Neuroscience
This module seeks to expose students to research level studies in a number of areas related to the function of the nervous system, necessary to understand the pathophysiology of neurological conditions. The course will describe CNS development, and the structure and functions of neural cell populations; research into the mechanisms underlying learning & memory; and analyses of neural circuits controlling behaviour. Following this module, students will be expected to be able to integrate their understanding of cellular properties into coherent concepts of system level functions and be able to evaluate examples of current research in this field. -
BIOL3020 2032-33
Systems Neuroscience
The aim of this module is to expose students to research level studies in a number of areas related to the function of the nervous system, necessary to understand the pathophysiology of neurological conditions. The course will describe CNS development, and the structure and functions of neural cell populations. Following this, research into the mechanisms underlying learning & memory will be discussed, as will analyses of neural circuits controlling behaviour. -
BIOL3020 2029-30
Systems Neuroscience
The aim of this module is to expose students to research level studies in a number of areas related to the function of the nervous system, necessary to understand the pathophysiology of neurological conditions. The course will describe CNS development, and the structure and functions of neural cell populations. Following this, research into the mechanisms underlying learning & memory will be discussed, as will analyses of neural circuits controlling behaviour. -
FEEG6044 2026-27
Systems Thinking
Modern engineering systems are becoming increasingly interconnected, autonomous and safety-critical. From defence and aerospace to transport, energy and infrastructure, engineers must understand not only individual technologies but also how people, processes and technology interact to influence the performance of entire systems. This module introduces systems thinking as a powerful approach to understanding and managing this complexity.
You will explore the principles and methods of systems engineering, learning how engineers adopt a holistic perspective throughout the lifecycle of complex socio-technical systems—from concept and design through operation and eventual decommissioning. Through real-world case studies drawn from defence, security and other safety-critical industries, you will investigate how systems thinking supports decision-making, improves safety, manages risk and optimises overall system performance. Along the way, you will develop skills in systems analysis, critical thinking and interdisciplinary problem-solving that complement your technical engineering expertise.
By the end of the module, you will be able to apply systems thinking principles to complex engineering challenges, recognising how interactions between people, technology and organisations shape system behaviour. These capabilities are increasingly valued across engineering industries and provide an essential foundation for engineers working on the complex, multidisciplinary systems that define modern society. -
FEEG6044 2027-28
Systems Thinking
Modern engineering systems are becoming increasingly interconnected, autonomous and safety-critical. From defence and aerospace to transport, energy and infrastructure, engineers must understand not only individual technologies but also how people, processes and technology interact to influence the performance of entire systems. This module introduces systems thinking as a powerful approach to understanding and managing this complexity.
You will explore the principles and methods of systems engineering, learning how engineers adopt a holistic perspective throughout the lifecycle of complex socio-technical systems—from concept and design through operation and eventual decommissioning. Through real-world case studies drawn from defence, security and other safety-critical industries, you will investigate how systems thinking supports decision-making, improves safety, manages risk and optimises overall system performance. Along the way, you will develop skills in systems analysis, critical thinking and interdisciplinary problem-solving that complement your technical engineering expertise.
By the end of the module, you will be able to apply systems thinking principles to complex engineering challenges, recognising how interactions between people, technology and organisations shape system behaviour. These capabilities are increasingly valued across engineering industries and provide an essential foundation for engineers working on the complex, multidisciplinary systems that define modern society. -
FEEG6044 2025-26
Systems Thinking
The International Council on Systems Engineering (INCOSE) states that “the fundamental principles of systems engineering have an important role in the education of all engineers … [in] recognition that most of today’s engineering tasks are performed in multi-disciplinary teams”. In the complex, safety-critical systems that are increasingly prevalent in everyday life, it is crucial to understand how to adopt and apply systems thinking throughout the lifecycle, from design, through operation, to decommissioning.
This module introduces systems thinking as a perspective on engineering, safety and performance. Systems thinking takes a macro view of complex sociotechnical systems, considering how all the elements (people, processes and technology) interact within the context of their environment. It uses bespoke methods to analyse systems at a holistic level and to understand how to optimise overall performance. Both the subject and the module are transdisciplinary and applied in nature, with the module content being rooted in real-world examples from defence and security, plus cross-domain case studies from other relevant safety critical industries including transportation, nuclear and construction, delivered by a range of lecturers from industry and academia.