8285 modules
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SESA3026 2028-29
Aircraft Structural Design
The module not only introduces the fundamental concepts of aircraft structural design but also provides the analytical and numerical tools to analyse complex aerospace systems within a multidisciplinary environment. Understanding and predicting the mutual interactions between different fields (aerodynamics, structural dynamics, etc.) is instrumental to successfully design any modern future air vehicles. With the subject matters covered in Part I and Part II as background knowledge, students will be taught how to closely interconnect previously separated disciplines. -
SESA3026 2025-26
Aircraft Structural Design
The module not only introduces the fundamental concepts of aircraft structural design but also provides the analytical and numerical tools to analyse complex aerospace systems within a multidisciplinary environment. Understanding and predicting the mutual interactions between different fields (aerodynamics, structural dynamics, etc.) is instrumental to successfully design any modern future air vehicles. With the subject matters covered in Part I and Part II as background knowledge, students will be taught how to closely interconnect previously separated disciplines. -
SESA3026 2026-27
Aircraft Structural Design
The module not only introduces the fundamental concepts of aircraft structural design but also provides the analytical and numerical tools to analyse complex aerospace systems within a multidisciplinary environment. Understanding and predicting the mutual interactions between different fields (aerodynamics, structural dynamics, etc.) is instrumental to successfully design any modern future air vehicles. With the subject matters covered in Part I and Part II as background knowledge, students will be taught how to closely interconnect previously separated disciplines. -
SESA3026 2027-28
Aircraft Structural Design
The module not only introduces the fundamental concepts of aircraft structural design but also provides the analytical and numerical tools to analyse complex aerospace systems within a multidisciplinary environment. Understanding and predicting the mutual interactions between different fields (aerodynamics, structural dynamics, etc.) is instrumental to successfully design any modern future air vehicles. With the subject matters covered in Part I and Part II as background knowledge, students will be taught how to closely interconnect previously separated disciplines. -
MATH3080 2027-28
Algebraic Topology
Topology is concerned with the way in which geometric objects can be continuously deformed to one another. It can be thought of as a variation of geometry where there is a notion of points being "close together" but without there being a precise measure of their distance apart.
Examples of topological objects are surfaces which we might imagine to be made of some infinitely malleable material. However much we try, we can never deform in a continuous way a torus (the surface of a bagel) into the surface of the sphere. Other kinds of topological objects are knots, i.e. closed loops in 3-dimensional space. Thus, a trefoil or "half hitch" knot can never be deformed into an unknotted piece of string. It's the business of topology to describe more precisely such phenomena.
In topology, especially in algebraic topology, we tend to translate a geometrical, or better said a topological problem to an algebraic problem (more precisely, for example, to a group theoretical problem). Then we solve that algebraic problem and try to see what that solution tells us of our initial topological problem. So to do topology you need to work equally well with both geometric and algebraic objects. -
MATH3080 2028-29
Algebraic Topology
Topology is concerned with the way in which geometric objects can be continuously deformed to one another. It can be thought of as a variation of geometry where there is a notion of points being "close together" but without there being a precise measure of their distance apart.
Examples of topological objects are surfaces which we might imagine to be made of some infinitely malleable material. However much we try, we can never deform in a continuous way a torus (the surface of a bagel) into the surface of the sphere. Other kinds of topological objects are knots, i.e. closed loops in 3-dimensional space. Thus, a trefoil or "half hitch" knot can never be deformed into an unknotted piece of string. It's the business of topology to describe more precisely such phenomena.
In topology, especially in algebraic topology, we tend to translate a geometrical, or better said a topological problem to an algebraic problem (more precisely, for example, to a group theoretical problem). Then we solve that algebraic problem and try to see what that solution tells us of our initial topological problem. So to do topology you need to work equally well with both geometric and algebraic objects. -
COMP6266 2026-27
Algorithm Engineering
This module bridges the gap between theoretical algorithm design and solving real-world, typically intractable, problems. Moving beyond standard textbook proofs, the focus is on Algorithm Engineering: the process of implementing, analysing, and optimising complex algorithms in a production-like environment where an exact solution may not be feasible. -
COMP6207 2025-26
Algorithmic Game Theory
This module:
- Introduces the students to the key issues of interaction of multiple self-interested parties (a.k.a. agents) and gives a broad survey of topics at the interface of theoretical computer science and game theory dealing with such interactions.
- Provides the theoretical background and practical tools to solve problems arising in settings with self-interested participants, to predict possible behaviour and outcomes, and finally, to design multi-agent systems that would incentivise desirable behaviour.
- Introduces the students to the specifics of computational game-theoretic techniques in different application areas, ranging from multi-agent systems, electronic marketplaces and networked computer systems to computational biology and social networks.
- Extends and advances the knowledge obtained in other AI modules (in particular, COMP6203 Intelligent Agents). -
COMP6207 2026-27
Algorithmic Game Theory
This module:
- Introduces the students to the key issues of interaction of multiple self-interested parties (a.k.a. agents) and gives a broad survey of topics at the interface of theoretical computer science and game theory dealing with such interactions.
- Provides the theoretical background and practical tools to solve problems arising in settings with self-interested participants, to predict possible behaviour and outcomes, and finally, to design multi-agent systems that would incentivise desirable behaviour.
- Introduces the students to the specifics of computational game-theoretic techniques in different application areas, ranging from multi-agent systems, electronic marketplaces and networked computer systems to computational biology and social networks.
- Extends and advances the knowledge obtained in other AI modules (in particular, COMP6203 Intelligent Agents). -
COMP6207 2028-29
Algorithmic Game Theory
This module:
- Introduces the students to the key issues of interaction of multiple self-interested parties (a.k.a. agents) and gives a broad survey of topics at the interface of theoretical computer science and game theory dealing with such interactions.
- Provides the theoretical background and practical tools to solve problems arising in settings with self-interested participants, to predict possible behaviour and outcomes, and finally, to design multi-agent systems that would incentivise desirable behaviour.
- Introduces the students to the specifics of computational game-theoretic techniques in different application areas, ranging from multi-agent systems, electronic marketplaces and networked computer systems to computational biology and social networks.
- Extends and advances the knowledge obtained in other AI modules (in particular, COMP6203 Intelligent Agents).