Physics with Computer Science - U7UPHYCSY

In the first semester of this module, you'll participate in a series of lectures, workshops, and practical classes. Some sessions will build on the "Discovery" strand from Investigations in Physics I and II, while others will provide training on various computational techniques relevant to the offered projects. This foundational training will prepare you for the hands-on work to come.

During the second semester, you'll work in pairs on a computational project chosen from a published list. By the end of the module, you'll have successfully used advanced computational techniques and developed a broader knowledge of computational physics, including recent developments from current literature. You'll also enhance your independent learning skills and further develop your investigative abilities by designing and conducting a computational study, analysing its results, and drawing critical conclusions. This module will prepare you for a career in computational physics, equipping you with practical experience and a deep understanding of the field.

This module will introduce you to the mathematical language behind the classical mechanics describing our universe. You will learn about Lagrangians and Hamiltonians, the starting place from which we can determine the dynamics of complicated systems, like pendula and planets orbiting the sun, as well as the origin of conserved quantities such as energy and momentum.

This is a fun module. At school you learnt Kepler’s Laws, Newton’s Law of Gravity, and F=ma, but how can you derive these amazing results? Where do they come from?

Here you will find out, as we introduce you to the mathematical language behind the classical mechanics describing our universe. You will learn about Lagrangians and Hamiltonians, the starting place from which we can determine the dynamics of complicated systems, like pendula and planets orbiting the sun, as well as the origin of conserved quantities such as energy and momentum. For two hours a week we will take you into the mathematics and ideas of giants like Newton, Euler, Lagrange, Noether and Hamilton.

Among many exciting things, you will study:

• Newton’s Laws and deriving the orbits predicted by Kepler
• Lagrangians and Hamiltonians, the building blocks behind classical mechanics
• The Euler-Lagrange equations describing the dynamics behind classical systems
• Rigid bodies – introducing moments of inertia, centre of mass and more so that we can apply these results to many particle rigid systems, like pendulums and even you
• Constraints – how to determine the dynamics of a system where it is constrained, for example, the motion of an explorer constrained to be on the surface of the earth
• The motion of charged particles, like electrons in an electromagnetic field
• Hamilton’s equations as an alternative way to determine the dynamics of a system, particularly useful when we are searching for conserved quantities like angular momentum
• Spinning tops – what? You heard right, the vital roles of gyroscopes in our life are understood by 5-year-olds, but the mathematics certainly is not. Thanks to this course, now you can understand that as well.

In this module, you'll explore how physical behaviour at the nanoscale can differ radically from macroscopic systems, drawing on principles from classical and quantum mechanics, electromagnetism, and thermodynamics. You'll learn about techniques such as scanning probe microscopy and optical trapping, which are used to measure and manipulate nanoscale objects. The module will also introduce you to soft condensed matter systems, including amorphous solids and complex fluids.

Additionally, you'll discover how nanoscale physics contributes to our understanding of biomolecular systems. By the end of the module, you'll have a comprehensive grasp of the unique properties and behaviours of nanoscale materials, and the advanced techniques used to study them. This module will equip you with the knowledge and skills to apply nanoscale physics in various scientific and technological contexts.

In this module you will learn how the same physics that works on Earth – gravity, electromagnetism, thermodynamics, optics, quantum physics, atomic and nuclear physics – is used to understand stars. You will explore the most important physical processes occurring in stars of different types. You will then use this knowledge to build mathematical models of stars and to understand their internal structure, their formation, evolution, and death.

You’ll study:

• How astronomers measure the most important properties of stars such as their mass, size, distance, brightness, temperature, chemical composition and age. This module will then teach you how physics is able to explain these properties.
• How energy is generated inside stars through nuclear fusion, and how it is transported to the surface to make stars shine.
• How to write the equations that describe the structure of stars, and how to use them to build mathematical models that explain their properties and evolution.
• How stars are born, how they evolve with time, how long they live, how they die, and what remnants they leave behind. You will be able to understand, for instance, how supernovae explode and how some black holes form.

You will gain a broad overview of the fundamental theories and techniques of artificial intelligence (AI).

You’ll explore how computers can produce intelligent behaviour, and will consider topics such as the history of AI, AI search techniques, neural networks, data mining, philosophical and ethical issues, and knowledge representation and reasoning.

This module is part of the Human Computer Interaction theme in The School of Computer Science. This module aims to teach an understanding of people's interactions with technology and how to apply this knowledge in the design of usable interactive computer systems. The module will introduce the concept of usability and will examine different design approaches and evaluation methods. Specifically, this module will cover an understanding of different styles of interaction with technology, an analysis of user needs, design standards, low fidelity prototyping techniques and a comparison of evaluation techniques.

This module introduces the field of digital image processing, a fundamental component of digital photography, television, computer graphics and computer vision.

You’ll cover topics including:

• image processing and its applications
• fundamentals of digital images
• digital image processing theory and practice
• applications of image processing

You’ll spend around three hours in lectures and computer classes each week.

You will be introduced to the concept of software engineering and will be taken through the software development process: deciding exactly what should be built (requirements and specification), designing how it should be built (software architecture), development strategies (implementation and testing), and maintaining change (software evolution and maintenance).

Building on the material presented in the Foundations of Software Engineering module, you will cover two main aspects of the software engineering process in depth: requirements and design. This will cover modern approaches to large scale requirements and engineering and specification, and approaches to systems and architectural design. You will spend around two hours per week in lectures and one hour in labs for practical experience for this module.

This module builds on your knowledge of quantum theory, with a focus on how quantum systems evolve over time. It develops the mathematical formalism of quantum mechanics and introduces key physical models and applications, including quantum computing.

The module begins with a review of Dirac notation and its use in formulating quantum problems. It then covers the dynamics of operators and wavefunctions, along with approximate methods for solving time-dependent problems.

Finally, you will be introduced to open quantum systems, quantum systems that interact with their environment, and the mathematical tools used to study them.

This module explores how electrical currents enable communication within the body. You will learn the biological processes in nerve cells that allow electrical signalling, as well as how the ear converts sound and the eye converts light into electrical signals. The module also covers how the heart uses electrical activity to pump blood and how muscles function.

Building on this, you will study how electrical signals from the heart, muscles, and brain can be measured and interpreted through surface recordings. The module also introduces magnetoencephalography (MEG), explaining how tiny magnetic fields generated by electrical currents in the brain can be detected, and the physical design of sensors and specialised rooms required for these measurements.

This module explores the physical processes involved in the most extreme environments known in the Universe. Among the objects studied are neutron stars, black holes, supernova explosions, and active galactic nuclei.

This module begins by exploring the techniques for magnetic resonance imaging (MRI) and spectroscopy (MRS). In the first semester, it covers the classical description of MRI, focusing on how images with contrast are generated to assess structure and function in the body for clinical diagnoses.

In the second semester, the module delves deeper into the physics of nuclear magnetic resonance (NMR) and MRI, presenting a quantum description of the technique and examining the clinical applications of MRS. It then shifts to other imaging methods commonly used in hospitals, including ultrasound and optical coherence tomography (OCT). For each technique, you will learn about the transmitters, detectors and safety considerations involved.

Cosmology is the scientific study of the Universe as a whole. It aims to understand what the Universe is made of, and its evolution from the Big Bang until today (and into the future).

You’ll study:

• observational evidence for the Big Bang
• how the expansion of the Universe depends on its contents and geometry
• how the contents of the Universe evolve as it expands and cools
• dark matter and dark energy: observational evidence and the latest theoretical models
• inflation, a proposed period of accelerated expansion in the very early Universe

In the first semester of this module, you'll engage in a series of lectures, workshops, and practical classes. Some sessions will build on the "Discovery" strand from Investigations in Physics I and II, while others will provide training on various computational techniques relevant to the offered projects. This foundational training will equip you with the skills needed for your upcoming project work.

During the second semester, you'll work in pairs on a computational project chosen from a published list. By the end of the module, you'll have successfully used advanced computational techniques and developed a broader knowledge of computational physics, including recent developments from current literature. You'll also enhance your independent learning skills and further develop your investigative abilities by designing and conducting a computational study, analysing its results, and drawing critical conclusions. This module will prepare you for a career in computational physics, equipping you with practical experience and a deep understanding of the field.

In the first semester of this module, you'll participate in a series of lectures, workshops, and practical classes. Some sessions will build on the "Discovery" strand from Investigations in Physics I and II, while others will provide training on various experimental techniques relevant to the offered projects. This foundational training will prepare you for the hands-on work to come.

During the second semester, you'll work in pairs on an experimental project chosen from a published list. This module is designed to enhance your skills and knowledge in experimental physics, giving you experience in undertaking and reporting the results of an open-ended investigation. By the end of the module, you'll have successfully used advanced experimental techniques, conducted risk assessments, and developed a broader knowledge of experimental physics, including recent developments from current literature. You'll also improve your independent learning skills and further develop your investigative abilities by designing and conducting an experimental study, analysing its results, and drawing critical conclusions.

Macroscopic matter displays a wide range of phases, from the familiar solids, liquids, and gases to more exotic phases like liquid crystals, superfluid and superconductors. 

In this module, you will learn how these ordered phases are described through broken symmetries, which helps in understanding their properties and phase transitions. You will study various mean-field approaches used to analyse these phases. Finally, you will explore how moving beyond the mean-field approach reveals the emergence of universal critical behaviour.

This module introduces you to the physics and applications of Semiconductors. Semiconductors are key materials of the current Information Age. They enabled most of the devices and technologies we use everyday, such as computers, internet, mobile phones. Semiconductors help us to mitigate global warming, data theft, end of the Moore’s law and other global challenges.

This module includes detailed overview of the Semiconductors past, present and future, and provides skills and knowledge essential for a future Semiconductor researcher or engineer.

You’ll study:

• Physics and applications of conventional semiconductor materials and devices, for example p-n diodes and field-effect transistors
• Physics and applications of novel semiconductor materials, quantum materials, nanostructures, low dimensional materials, such as graphene and quantum dots
• Current and future semiconductor challenges and technologies, such as efficient solar cells, ultrasensitive phone cameras and quantum computers.

This module introduces spacetime and gravity, as explained by Einstein's theories of relativity.

You will learn that when velocities approach a significant fraction of the speed of light, spatial distance and elapsed time become relative to the observer. The relativistic laws of mechanics are presented within a unified framework of four-dimensional spacetime, and key implications, such as Einstein's famous equation E=mc2E=mc2, are explored. 

The module also covers the concept of gravitational effects, which require spacetime to be warped or curved. You will study the relevant mathematics to describe this curvature and its physical effects, using the Schwarzschild solution and the corresponding black hole as a key example.

This module will enhance your knowledge and understanding of the applications of modern physics, showing how the basic principles of physics, explored in your second and third year, are extended in this area. You will use the skills developed earlier in the course to engage with material that is at the forefront of modern physics applications.

In this module, you'll deepen your knowledge and understanding of the frontiers in astrophysics, building on the basic principles of physics covered in Parts I and II. You'll engage with material informed by the forefront of current research, using the skills developed earlier in your programme. This module will allow you to critically engage with research literature and synthesize your knowledge to produce outputs in various formats.

By the end of the module, you'll have significantly enhanced your critical engagement with advanced topics in astrophysics. You'll strengthen your ability to independently research and gain a deep understanding of complex material. Additionally, you'll demonstrate high-level skills in communicating your understanding of advanced concepts and work successfully as part of a small team to research and present key aspects of cutting-edge astrophysical knowledge.

This module will develop your knowledge and understanding gravity and to show how the basic principles of physics are their extensions considered in Part I and II are developed in this area.  You will use the skills developed earlier in the programme to engage with material that is at or is informed by the forefront of current research in classical and quantum gravity.  

Modern science is data rich. For example, it’s not uncommon for a single experiment to generate terabytes, or even petabytes of data. As scientists, one of the major challenges we face is to collapse these vast data archives into meaningful information that we can understand, and use to draw conclusions.

In this module, you will learn the critical mathematical techniques that are used to do this. We will cover techniques from simple image processing, all the way to advanced blind source separation and machine learning. You will then put these techniques into practice, in a data processing project that may range from satellite imaging to measuring the amount of information stored by the human brain.

This module will extend previous work in the areas of atomic and optical physics to cover modern topics in the area of quantum effects in light-matter interactions. Some basic material will be introduced in six staff-led seminars and you’ll have around two hours of lectures and student-led workshops each week. 

This module aims to provide a foundation in modern machine learning, covering supervised learning, unsupervised learning, and reinforcement learning. It will address a variety of problems, including linear and non-linear regression, classification, density estimation, data generation, and optimal control. The module combines theoretical concepts with hands-on applications to a selection of example problems.

This module introduces you to the key ideas behind modern approaches to our understanding of the role of inflation in the early and late universe, in particular through the formation of structure, the generation of anisotropies in the cosmic microwave background radiation, and the origin of dark energy. You’ll study through a series of staff lectures and student-led workshops.

In earlier modules on quantum mechanics, the focus was mostly on individual quantum systems. In this module we will investigate quantum systems that can interact with each other. These will be solid-state devices in which the interactions and behaviours are engineered to create the desired properties. We will describe the theoretical and experimental techniques needed to create the solid-state devices that are now being used to make quantum computers and quantum sensors.

You’ll study:

• Composite quantum systems – quantum systems that are coupled together
• Superconducting quantum devices and their use in quantum computers
• Nanoelectromechanical systems and NV- defects in diamond
• Experiments that probe the boundary between quantum and classical physics.

This module will deepen your knowledge and understanding of quantum matter, showing how the basic principles of physics from your second and third years are extended in this field. You will use the skills developed earlier in the programme to engage with material that is at the forefront of current research in quantum matter.