Geophysics (Physics) BSc (Hons)

This module introduces students to the key skills necessary to succeed on the Geophysics (Physics) course. It does this via a series of lectures, workshops and tutorials, together with a field day and attendance at departmental seminars and talks.

Lectures cover writing skills as well as exam preparation. The workshops cover IT skills. The small-group tutorials are run 3 times each semester to support the lecture and workshop programme. The tutors also undertake personal development planning (PDP) with each tutee. The field day visits a local place of geological interest early in the first semester and provides information for the formative essay.

Attendance at departmental seminars helps students integrate into the department and understand the sorts of research that takes place.

​ The "Introduction to computational physics" (Phys105) module is designed to introduce physics students to the use of computational techniques appropriate to the solution of physical problems. No previous computing experience is assumed. During the course of the module, students are guided through a series of structured exercises which introduce them to the Python programming language and help them acquire a range of skills including: plotting data in a variety of ways; simple Monte Carlo techniques; algorithm development; and basic symbolic manipulations. The exercises are based around the content of the first year physics modules, both encouraging students to recognise the relevance of computing to their physics studies and enabling them to develop a deeper understanding of aspects of their first year course.  

The module provides an overview of Newtonian mechanics, continuing on from A-level courses. This includes: Newton’s laws of motion in linear and rotational circumstances, gravitation and Kepler’s laws of planetary motion. The theory of Relativity is then introduced, starting from a historical context, through Einstein’s postulates, leading to the Lorentz transformations.

​This module aims to provide all students with a common foundation in mathematics, necessary for studying the physical sciences and maths courses in later semesters. All topics will begin "from the ground up" by revising ideas which may be familiar from A-level before building on these concepts. In particular, the basic principles of differentiation and integration will be practised, before extending to functions of more than one variable.

Einstein said in 1949 that "Thermodynamics is the only physical theory of universal content which I am convinced, within the areas of applicability of its basic concepts, will never be overthrown." In this module, different aspects of thermal physics are addressed: (i) classical thermodynamics which deals with macroscopic properties, such as pressure, volume and temperature – the underlying microscopic physics is not included; (ii) kinetic theory of gases describes the properties of gases in terms of probability distributions associated with the motions of individual molecules; and (iii) statistical mechanics which starts from a microscopic description and then employs statistical methods to derive macroscopic properties. The laws of thermodynamics are introduced and applied.

Module aims:

To introduce students to the structure and composition of the Earth, the Earth’s gravitational and magnetic fields, and dynamics within the deep Earth.

To introduce students to the physics of Earth material and the geological time scale.

To introduce students to plate tectonics.

This module illustrates how a series of fascinating experiments, some of which physics students will carry out in their laboratory courses, led to the realisation that Newtonian mechanics does not provide an accurate description of physical reality. As is described in the module, this failure was first seen in interactions at the atomic scale and was first seen in experiments involving atoms and electrons. The module shows how Newton’s ideas were replaced by Quantum mechanics, which has been critical to explaining phenomena ranging from the photo-electric effect to the fluctuations in the energy of the Cosmic Microwave Background. The module also explains how this revolution in physicist’s thinking paved the way for developments such as the laser.

​This module introduces some of the mathematical techniques used in physics. For example, matrices, differential equations, vector calculus and series are discussed. The ideas are first presented in lectures and then the put into practice in problems classes, with support from demonstrators and the module lecturer. When you have finished this module, you should: Be able to manipulate matrices and use matrix methods to solve simultaneous linear equations. Be familiar with methods for solving first and second order differential equations in one variable. Have a basic knowledge of vector algebra. Have a basic understanding of series, in particular of Fourier series and transforms.

This module will introduce and develop understanding of rock-forming minerals, and other key Earth materials in terms of their environments of formation, occurrence, and abundance. The module will focus on exploring the uses and societal significance of a range of Earth materials, especially those most important for providing sustainable and renewable energy resources and various societal infrastructure. The key practical skill of mineral description, identification and interpretation will be developed and applied throughout the module, to equip students with appropriate skills for many later geoscience modules.

Condensed matter physics (CMP) is the study of the structure and behaviour of matter that makes up most of the things that surround us in our daily lives, including the screen on which you are reading this material. It is not the study of the very small (particle and nuclear physics) or the very large (astrophysics and cosmology) but of the things in between. CMP is concerned with the “condensed” phases of real materials that arise from electromagnetic forces between the constituent atoms, and at its heart is the necessity to understand the behaviour of these phases by using physical laws that include quantum mechanics, electromagnetism and statistical mechanics. Understanding such behaviour leads to the design of novel materials for advanced technological devices that address the challenges that face modern civilization, such as climate change.

​ The study of classical electromagnetism, one of the fundamental physical theories. Several simple and idealised systems will be studied in detail, developing an understanding of the principles underpinning several applications, and setting the foundations for the understanding of more complex systems. Mathematical methods shall be developed and exercised for the study of physical systems.

​This module re-enforces and develops mathematical skills from first year level, up to and including solving partial differentiation. Many topics are covered in a short time – the aim is for students to be familiar with the methods and with fluency in application being a bonus.

The second half of the module applies the mathematical methods to the development of potential theory, particularly for studying gravity and magnetism in both cartesian and spherical (planetary) geometry.

​ The course aims to introduce 2nd year students to the concepts and formalism of quantum mechanics. The Schrodinger equation is used to describe the physics of quantum systems in bound states (infinite and finite well potentials, harmonic oscillator, hydrogen atoms, multi-electron atoms) or scattering (potential steps and barriers). Basis of atomic spectroscopy are also introduced. ​

This module introduces students to fundamentals of seismology and computer programming in MATLAB. Students will become familiar with methods used in seismology, types of seismic wave (body waves, surface waves), wave propagation and how to read/interpret seismic data, and earthquake properties. After an introductory two weeks of programming basics, students will then start to write scripts that simulate seismological processes and analyse seismic data. By the end of the module, students should have a good overview of the ways in which seismology is applied in global and exploration geophysics, and in the study of earthquakes.

Waves lie at the heart of physics, being phenomena associated with quantum wave mechanics, electromagnetic fields, communication, lasers and, spectacularly, gravitational waves. The course is divided into several major sections. The first, can be viewed as a pre-wave study of oscillations. This teaches the basics of oscillatory systems which form the backbone of an understanding of waves. The second, deals with waves in abstract; solution of the wave equation and the principles of superposition. Finally, we look at examples of wave phenomena. These are the first introduction to what will be covered in the remainder of your degree.

This module provides an introduction to the principles and practise of all the main geophysical methods used for exploration purposes. This includes seismic refraction, seismic reflection, electrical methods, ground penetrating radar, gravity, and magnetics. Students will also gain understanding of when and where each method can be useful. Case studies will be used to highlight application of methods on all scales from shallow to deep, small to large and include uses within archaeology, engineering and geology. The module concludes with a synthesis of methods and how to approach site investigation. The module is lecture and problem session based with 50% continuous assessment from set homework assignments or problem sheets. The final exam constitutes the rest of the assessment.

This module builds on the theory taught in Exploration Geophysics (ENVS216), by introducing a large amount of practical experience, data analysis and interpretation. Fieldwork will be run using input from industry professionals from RSK. The module will introduce principles of remote sensing, and give practical experience in GIS, electrical methods, seismics, ground penetrating radar, gravity and magnetics. Attention will be paid to how these different methods can be integrated to give a thorough understanding of a study site. The module will be assessed through a combination of continuous assessment such as short reports.

This module will provide an introduction the fundamentals of signal processing and seismic interpretation. The module is taught through a combination of Lectures, practical examples during computer-based practical sessions, and self-directed learning. Assessment for the module includes a conference style presentation on the analysis and interpretation of a real-world seismic dataset and a final exam. Successful students will develop understanding of the fundamental concepts and theory of signal processing. They will become familiar with modern seismic data analysis workflows, including correcting and enhancing data, leading to a final geologic interpretation.

This module is a practical introduction to a range of techniques in exploration and environmental geophysics, and their application in industry and research. The students receive field-based (or online, where necessary) training in geophysical techniques, including seismic, gravity, magnetic, and electrical methods. During the entire duration of the field class the students will work in teams, and will be required to undertake a geophysical survey. The learning outcomes include developing:
i) knowledge of geophysical instruments and their response to a variety of targets;
ii) an understanding of the principles, limitations and errors in geophysical data acquisition;
iii) an understanding of geophysical data analysis and interpretation;
iv) knowledge of the principles of geophysical survey designs;
v) an understanding of the standards required for reporting and presentation to peers and the general public. The students will benefit from being exposed to problem solving and a workflow analogous to working for a major exploration or geophysical engineering company.

A pinnacle of your degree, this module will embed you withinan active research group where you will undertake an individual and unique geophysical research project over the course of an academic year. The results of your analyses may well constitute an original scientific finding forming part of a future peer-reviewed paper appearing in an international publication. In addition to developing specific and general research skills, you will gain invaluable experience in communicating your topic and findings in both an oral and written format.

Geophysics talks are full of exciting colour figures showing the interior of the Earth. But are these pictures real? At best, they are only a simplified mathematical parameterisation of the true earth; at worst they can be misleading or plain wrong. This module provides the tools to construct such models by mathematical modelling of geophysical observations, but perhaps even more importantly, shows how such models can be interpreted, and provides understanding of their limitations. Mathematical foundations are given with sections on matrix analysis, optimisation theory and statistics, before going on to show how these are applied to geophysical problems. The concept of “non-uniqueness” is central– almost all geophysical modules require the estimation of an infinite (continuous)system from only finite data. Error estimation is considered in detail, in particular the reasons why most error estimates are close to worthless! Detailed examples are presented from all areas of geophysics, with a project to generate a model of the magnetic field of the planet Neptune. Examples also extend to modern developments, including links to "Big data" and Machine learning.

This module provides introduction to the fundamentals of applied seismology and essential training for students interested in academic or government careers in seismology. The course mainly deals with the analysis and interpretation of seismic data using arrays and networks of seismometers to constrain complex geological processes in tectonic and volcanic settings, and to evaluate earthqua ke and volcanic hazards. The course is research-led and provides a learning experience that reflects the process of creating knowledge through activities that mirrors modern research practices. Content will be delivered through a combination of traditional class-based lectures, research seminars and computer-based sessions. The students will have an opportunity to work with real-world seismic data, and will learn and apply state-of-the-art techniques used in operational settings for seismic and volcano monitoring.

Introduction to nuclear and particle physics

Ocean dynamics addresses how the ocean and atmosphere circulate. Fundamental questions are addressed, such as how heat, salt, and dissolved substances are transported, how jets and weather systems emerge on our planet, why there are western boundary currents in the ocean, and how seafloor topography shapes the ocean circulation. 

Students will improve their understanding of how the ocean and atmosphere behave, including comparing the importance of different physical processes in the climate system. The module is delivered via lectures and formative workshops to gain skills at problem solving. There is significant mathematical content, requiring familiarity with calculus and algebra. The module is assessed through two online tests (25% each) and an essay (50%).

Geophysics talks are full of exciting colour figures showing the interior of the Earth. But are these pictures real? At best, they are only a simplified mathematical parameterisation of the true earth; at worst they can be misleading or plain wrong. This module provides the tools to construct such models by mathematical modelling of geophysical observations, but perhaps even more importantly, shows how such models can be interpreted, and provides understanding of their limitations. Mathematical foundations are given with sections on matrix analysis, optimisation theory and statistics, before going on to show how these are applied to geophysical problems. The concept of “non-uniqueness” is central– almost all geophysical modules require the estimation of an infinite (continuous)system from only finite data. Error estimation is considered in detail, in particular the reasons why most error estimates are close to worthless! Detailed examples are presented from all areas of geophysics, with a project to generate a model of the magnetic field of the planet Neptune. Examples also extend to modern developments, including links to "Big data" and Machine learning.