8439 modules
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BIOL3010 2031-32
Evolution and Genetics
Evolutionary processes impact on individuals, populations, and communities. Evolution typically happens over long time periods, but this is not always the case. Strong selection can result in rapid evolution. This is underpinned by understanding the genetics of evolution. In this module, we will examine various ways in which ecology and evolution interact. The module will be taught by two members of staff and will reflect their current research interests. It will begin by investigating the interaction between humans, animals, and plants and how domestication has given rise to the society we see today. An understanding of evolutionary processes, using domestication as a model system, will be investigated. Then we will focus on exploring the different ways in which interacting organisms can influence each other’s evolution, and how coevolution manifest itself in different types of interactions. Finally, we will discuss how species originate, starting from natural selection and genetic drift in reproductively isolated populations, evolving into locally adapted populations, and resulting in divergence into separate taxa and speciation. Varied though the topics in this module are, they all highlight the interaction between ecology and evolution. -
BIOL6029 2028-29
Evolution and Genetics
Evolutionary processes impact on individuals, populations, and communities. Evolution typically happens over long time periods, but this is not always the case. Strong selection can result in rapid evolution. This is underpinned by understanding the genetics of evolution. In this module, we will examine various ways in which ecology and evolution interact. The module will be taught by two members of staff and will reflect their current research interests. It will begin by investigating the interaction between humans, animals, and plants and how domestication has given rise to the society we see today. An understanding of evolutionary processes, using domestication as a model system, will be investigated. Then we will focus on exploring the different ways in which interacting organisms can influence each other’s evolution, and how coevolution manifest itself in different types of interactions. Finally, we will discuss how species originate, starting from natural selection and genetic drift in reproductively isolated populations, evolving into locally adapted populations, and resulting in divergence into separate taxa and speciation. Varied though the topics in this module are, they all highlight the interaction between ecology and evolution. -
BIOL3010 2027-28
Evolution and Genetics
Evolutionary processes impact on individuals, populations, and communities. Evolution typically happens over long time periods, but this is not always the case. Strong selection can result in rapid evolution. This is underpinned by understanding the genetics of evolution. In this module, we will examine various ways in which ecology and evolution interact. The module will be taught by two members of staff and will reflect their current research interests. It will begin by investigating the interaction between humans, animals, and plants and how domestication has given rise to the society we see today. An understanding of evolutionary processes, using domestication as a model system, will be investigated. Then we will focus on exploring the different ways in which interacting organisms can influence each other’s evolution, and how coevolution manifest itself in different types of interactions. Finally, we will discuss how species originate, starting from natural selection and genetic drift in reproductively isolated populations, evolving into locally adapted populations, and resulting in divergence into separate taxa and speciation. Varied though the topics in this module are, they all highlight the interaction between ecology and evolution. -
BIOL3010 2028-29
Evolution and Genetics
Evolutionary processes impact on individuals, populations, and communities. Evolution typically happens over long time periods, but this is not always the case. Strong selection can result in rapid evolution. This is underpinned by understanding the genetics of evolution. In this module, we will examine various ways in which ecology and evolution interact. The module will be taught by two members of staff and will reflect their current research interests. It will begin by investigating the interaction between humans, animals, and plants and how domestication has given rise to the society we see today. An understanding of evolutionary processes, using domestication as a model system, will be investigated. Then we will focus on exploring the different ways in which interacting organisms can influence each other’s evolution, and how coevolution manifest itself in different types of interactions. Finally, we will discuss how species originate, starting from natural selection and genetic drift in reproductively isolated populations, evolving into locally adapted populations, and resulting in divergence into separate taxa and speciation. Varied though the topics in this module are, they all highlight the interaction between ecology and evolution. -
BIOL3010 2029-30
Evolution and Genetics
Evolutionary processes impact on individuals, populations, and communities. Evolution typically happens over long time periods, but this is not always the case. Strong selection can result in rapid evolution. This is underpinned by understanding the genetics of evolution. In this module, we will examine various ways in which ecology and evolution interact. The module will be taught by two members of staff and will reflect their current research interests. It will begin by investigating the interaction between humans, animals, and plants and how domestication has given rise to the society we see today. An understanding of evolutionary processes, using domestication as a model system, will be investigated. Then we will focus on exploring the different ways in which interacting organisms can influence each other’s evolution, and how coevolution manifest itself in different types of interactions. Finally, we will discuss how species originate, starting from natural selection and genetic drift in reproductively isolated populations, evolving into locally adapted populations, and resulting in divergence into separate taxa and speciation. Varied though the topics in this module are, they all highlight the interaction between ecology and evolution. -
BIOL6029 2025-26
Evolution and Genetics
Evolutionary processes impact on individuals, populations, and communities. Evolution typically happens over long time periods, but this is not always the case. Strong selection can result in rapid evolution. This is underpinned by understanding the genetics of evolution. In this module, we will examine various ways in which ecology and evolution interact. The module will be taught by two members of staff and will reflect their current research interests. It will begin by investigating the interaction between humans, animals, and plants and how domestication has given rise to the society we see today. An understanding of evolutionary processes, using domestication as a model system, will be investigated. Then we will focus on exploring the different ways in which interacting organisms can influence each other’s evolution, and how coevolution manifest itself in different types of interactions. Finally, we will discuss how species originate, starting from natural selection and genetic drift in reproductively isolated populations, evolving into locally adapted populations, and resulting in divergence into separate taxa and speciation. Varied though the topics in this module are, they all highlight the interaction between ecology and evolution. -
BIOL6029 2030-31
Evolution and Genetics
Evolutionary processes impact on individuals, populations, and communities. Evolution typically happens over long time periods, but this is not always the case. Strong selection can result in rapid evolution. This is underpinned by understanding the genetics of evolution. In this module, we will examine various ways in which ecology and evolution interact. The module will be taught by two members of staff and will reflect their current research interests. It will begin by investigating the interaction between humans, animals, and plants and how domestication has given rise to the society we see today. An understanding of evolutionary processes, using domestication as a model system, will be investigated. Then we will focus on exploring the different ways in which interacting organisms can influence each other’s evolution, and how coevolution manifest itself in different types of interactions. Finally, we will discuss how species originate, starting from natural selection and genetic drift in reproductively isolated populations, evolving into locally adapted populations, and resulting in divergence into separate taxa and speciation. Varied though the topics in this module are, they all highlight the interaction between ecology and evolution. -
COMP6202 2025-26
Evolution of Complexity
Evolution by natural selection has created amazingly complex and sophisticated solutions to some very difficult problems - how exactly does it achieve this, and how can we harness this capability for engineering artificial systems and computational problem solving?
The content includes key concepts, tools and approaches in:
- Basic aspects of evolutionary biology,
- Techniques in artificial evolutionary computation,
- Scientific exchange between the two disciplines: e.g. how artificial evolutionary algorithms help us understand the capabilities and limitations of biological evolution, and how current topics in evolutionary biology inspire new solutions to evolvability and scalability in engineering.
This module is intended as an optional module for appropriate part 4 undergraduates and MSc students. Prior completion of specific modules is not a prerequisite for enrolment. This unit introduces basic biological topics to a computer science/numerate audience and assumes no biological background/pre-requisites. However, the module does involve considerable biological as well as computational material, and would suit students with an interest in the theory of evolution and competence in programming. -
COMP6202 2026-27
Evolution of Complexity
Evolution by natural selection has created amazingly complex and sophisticated solutions to some very difficult problems - how exactly does it achieve this, and how can we harness this capability for engineering artificial systems and computational problem solving?
The content includes key concepts, tools and approaches in:
- Basic aspects of evolutionary biology,
- Techniques in artificial evolutionary computation,
- Scientific exchange between the two disciplines: e.g. how artificial evolutionary algorithms help us understand the capabilities and limitations of biological evolution, and how current topics in evolutionary biology inspire new solutions to evolvability and scalability in engineering.
This module is intended as an optional module for appropriate part 4 undergraduates and MSc students. Prior completion of specific modules is not a prerequisite for enrolment. This unit introduces basic biological topics to a computer science/numerate audience and assumes no biological background/pre-requisites. However, the module does involve considerable biological as well as computational material, and would suit students with an interest in the theory of evolution and competence in programming. -
COMP6202 2028-29
Evolution of Complexity
Evolution by natural selection has created amazingly complex and sophisticated solutions to some very difficult problems - how exactly does it achieve this, and how can we harness this capability for engineering artificial systems and computational problem solving?
The content includes key concepts, tools and approaches in:
- Basic aspects of evolutionary biology,
- Techniques in artificial evolutionary computation,
- Scientific exchange between the two disciplines: e.g. how artificial evolutionary algorithms help us understand the capabilities and limitations of biological evolution, and how current topics in evolutionary biology inspire new solutions to evolvability and scalability in engineering.
This module is intended as an optional module for appropriate part 4 undergraduates and MSc students. Prior completion of specific modules is not a prerequisite for enrolment. This unit introduces basic biological topics to a computer science/numerate audience and assumes no biological background/pre-requisites. However, the module does involve considerable biological as well as computational material, and would suit students with an interest in the theory of evolution and competence in programming.