BA Joint Hons Psychology & Mathematics

You'll take this class in semester 1 and are not expected to have any prior knowledge of psychology. It explores learning theory, developmental psychology, personality, biological psychology, and the scientific basis for psychology.

This class is taught in semester 2 and covers sensation and perception, cognitive psychology, social psychology, abnormal psychology, and research methods.

The fundamental concepts of calculus (differentiation and integration) presented in Applications of Calculus will be examined in more detail, extended to a larger class of functions by means of more sophisticated methods, including an introduction to complex numbers and variables, all demonstrated in application to practical problems including solving basic first and second-order differential equations.  

This class will introduce you to vectors and matrices, along with the idea of mathematical modelling through their application to real-world problems.

Some basic ideas and techniques of statistics will be presented while introducing some essential study skills, allowing you to develop and practice personal and technical skills eg self study, teamwork, analysing data, writing reports and making presentations.

This class will introduce you to a range of interesting applications and explain the mathematics behind them.

This class reveals how our understanding of higher mental functions has been enhanced through:

• theoretical and experimental studies of normal human cognition
• neuropsychological studies of how cognitive functions may be damaged as a result of brain lesions

This class introduces social psychological theories and research that provide insights into why people believe what they believe, and why they behave the way they do.

Topics covered include attribution theory, aggression, prosocial behaviour, group influence, norms, conformity, obedience, and attitudes.

It ends with an introduction to health psychology, demonstrating how social psychological principles covered earlier in the class are applied to pressing, real-world health issues such as dietary behaviour, smoking/alcohol-use, and suicide.

You'll be introduced to the main features of measurement, research design, and statistical analysis in psychology.

Following a general introduction, the course presents fundamental concepts, issues, and debates in the field of research methods.

You'll also become familiarised with the conceptual basis for inferential statistical testing, and introduced to different inferential statistics. Finally, a brief introduction to qualitative research methods takes place.

This class will introduce you to the basic ideas of linear algebra, such as matrices and determinants, vector spaces, bases, eigenvalues and eigenvectors. You'll study various standard methods for solving ordinary differential equations and understand their relevance.

Basic ideas, techniques and results for calculus of two and three variables, along with differentiation and integration over curves, surfaces and volumes of both scalar and vector fields will be presented.

This class will give a rigorous treatment of convergence of sequences and infinite series of real numbers and of continuity, differentiability and integrability of functions of a real variable, and will illustrate the importance of these concepts in the analysis of problems arising in applications.

Presentation of the basic concepts of probability theory and statistical inference will be covered to provide you with the tools to appropriately analyse a given data set and effectively communicate the results of such analysis.

This class will develop your appreciation of the basic concepts of force, momentum and energy, and of Newton’s laws of motion and will equip you to apply these concepts to model physical systems, in particular the orbital motion of bodies.

This class will introduce you to the R computing environment. It'll enable you to use R to import data and perform statistical tests, allow you to understand the concept of an algorithm and what makes a good algorithm and will equip you for implementing simple algorithms in R.

This class builds on year 2 and equips you with a broader, more advanced set of methodological and analytic skills. These skills are essential for carrying out the year 4 dissertation and for being able to read and understand articles published in academic journals.

You're encouraged to think scientifically about conceptual and practical issues related to the study of individual differences, with specific reference to intelligence and personality. You'll gain the chance to put this knowledge into practice by designing your own measurement instrument.

You'll be introduced to some of the core topics in cognitive psychology

• perception and action, particularly how we perceive time and recognise faces
• memory and learning, including models of episodic and working memory
• language, including word production, sentence comprehension, and discourse processing
• thinking, specifically problem solving, deductive reasoning and judgement and decision making

This class reviews the ways that children develop from infancy right through to the end of adolescence. Key theories are presented and used to explore the extent to which children’s development is continuous or stage-like and whether specific skills develop more quickly than others. Issues relating to infancy, ‘theory of mind’ (understanding others’ thoughts and beliefs), executive function (planning and monitoring abilities), language, and communication form the core themes in the class.

The purpose of this class is to provide the opportunity for you to learn the basic principles of brain function, and to encourage you to address the implications of this understanding for their own view of how behaviour is generated. It includes coverage of electrophysiology and psychopharmacology, neuroanatomy, research methods in neuroscience. There are focused sections relating to the visual system and the motor system.

This class allows you to consider current ideas and positions within social psychology. Four themes drive the class

• attitudes and attitude change, covering the Theory of Planned Behaviour and the Health Belief Model
• identity, with a focus on social, personal and group identities
• prejudice, connecting both attitudes and identities, and covering a broad range of areas such as social representations, stereotyping, prejudice and conflict
• epistemology, where consideration is given to the theory of knowledge, how social psychological knowledge is produced, and to what effect

This class will introduce functions of a complex variable, define concepts such as continuity, differentiability, analyticity, line integration, singular points, etc. It'll examine some important properties of such functions, and consider some applications of them, eg conformal mappings, and the evaluation of real integrals using the Residue Theorem. It'll also introduce you to Fourier and Laplace transform methods for solving linear ordinary differential equations and convolution type integral equations.

Here we'll introduce basic algebraic structures, with particular emphasis on those pertaining to finite dimensional linear spaces and deepen your understanding of linear mappings. We'll also provide an introduction to inner product spaces and bilinear forms.

We'll introduce you to analytical methods for solving ordinary and partial differential equations so you'll develop an understanding along with technical skills in this area.

We'll introduce you to the basic theory and applications of metric spaces, normed vector spaces and Banach spaces, inner product spaces and Hilbert spaces, and bounded linear operators on normed linear spaces.

This class will:

• convey the generalisation of the mechanics of single-particle systems to many-particle systems
• convey the central ideas of a continuum description of material behaviour and to understand relevant constraints
• ground students in the basic principles governing three-dimensional motions of rigid bodies
• convey how the ideas of continuum theory are applied to static and inviscid fluids.

This class will:

• review the concepts of probability distributions and how to work with these
• present approaches to parameter estimation, focusing on maximum likelihood estimation, bootstrap estimation, and properties of estimators
• present hypothesis testing procedures, including classical likelihood ratio tests and computer-based methods for testing parameter values, and goodness-of-fit tests.
• introduce and provide understanding of the least squares multiple regression model, general linear model, transformations and variable selection procedures
• present use of R functions for regression and interpretation of R output

This module will motivate the need for numerical algorithms to approximate the solution of problems that can't be solved with pen and paper. It'll develop your skills in performing detailed analysis of the performance of numerical methods and will continue to develop your skills in the implementation of numerical algorithms using R.

You'll be introduced to the basic concepts of random phenomena evolving in time, from two complementary points of view: probabilistic modelling and data-driven analysis. Presentation of underlying ideas of simple stochastic processes, time series models, and the associated probability theory and statistical techniques will be covered. In addition to applications of the methods to financial and economic systems, including modelling, data analysis, and forecasting.

The dissertation is an opportunity for you to undertake an original piece of research, closely supervised by a single member of staff. Dissertations can be of such high standards that they are subsequently published in peer-reviewed academic journals.

Advanced Organisational Behaviour is an Honours year elective, which runs over two semesters, offered in the degree subject Human Resource Management (within the Department of Work, Employment and Organisation). It is also an elective in Psychology. There is no prerequisite for Psychology students and it is expected that students with no prior experience of HRM courses will be able to fully engage with this class. The class draws from organisational behaviour, work psychology and work sociology to explore current topics within work and employment, and the implications for people management.  

This class will support students' development in applying their knowledge and understanding of psychological theory and evidence in a work setting, as well as their ability to articulate the knowledge, understanding, and skills they have developed through the placement, their studies, and other extra-curricular activities.

The class aims to provide students with an opportunity to gain practical, work-based experience in an area that is professionally relevant to psychology. The placement experience should encourage the transfer of academic psychological knowledge, understanding, and subject-specific skills to an applied context. Students will also be supported in developing reflective and professional skills, and the ability to articulate these skills. This class is intended to support students' transition into employment and/or further study after graduation. It is also anticipated that there will be benefits to placement providers in the roles fulfilled by students, and in the longer term in supporting the development of the future workforce.

The placement involves completing a minimum of 60 hours of active engagement within a suitable organisation. An additional 50 hours has been added to account for travel time.

Students will be responsible for setting up a placement with an organisation relevant to their interests. We hope to provide students a list of organisations who have indicated a willingness to receive applications from students seeking a placement. 

In the assessment for the class, students are required to submit a 2000 word written assessment that covers:

• An account of their role within the placement organisation, including a critical reflection on the student's professional practice in fulfilling the requirements of the role. The student will also relate back to the self-evaluation assessment written at the beginning of the placement;
• Demonstrate an understanding of the application of psychological theory and evidence relevant to the placement organisation and/or experience in the placement role;
• Discussion of their personal and professional development, following the placement, with a view to their future development.

This optional class aims to help students gain an understanding of the ways in which human psychology is influenced by cultural context. This class builds upon your third-year psychology classes, attempting to expand the topics covered in these classes by emphasising the role culture plays in the mental life of human beings. This class will start with an introduction to cross-cultural psychology, discussing its various definitions and general theoretical orientations. Then, the class will explore the similarities and differences in social behaviour across cultures, and how culture influences people’s emotions and values. This class will also discuss intercultural contact (i.e., acculturation, cross-cultural competence).

This optional class will be delivered by a combination of lectures and seminars. An experiential/problem-based learning approach is adopted. Relevant theories and empirical research will be discussed, and students will have the opportunity to explore how the knowledge can be used to in real-world scenarios. Overall, this class will enhance students’ understanding of different perspectives on psychology and increase their awareness of cultural differences in psychology.

Mental health problems are a growing public health concern worldwide, at both personal and societal levels. This class will explore the application of psychology to the field of mental health, with the consideration of the theoretical, practical and ethical underpinnings of the mental health field. The class will also explore approaches to psychological assessment, formulation and treatment that are commonly used in mental health practice.

• Lectures will cover the following key areas:
• Psychological assessment
• Psychological formulation
• Overview of most common mental health problems (e.g. depression, anxiety)
• Clinical practice and psychological interventions
• Positive mental health

This class has two broad aims: 1) to provide students with an introduction to critical thinking and review some of the theoretical and empirical literature around critical thinking and epistemological thinking, and 2) to give students the opportunity to practice critical thinking and thereby develop and sharpen their skills in this important area. Literature on critical thinking and epistemological thinking will be reviewed, and both everyday aspects of critical thinking (such as interpretation of articles published in newspapers and on the world wide web) and more technical aspects (such as critiquing journal papers within psychology) will be covered. Following three lectures setting out the theoretical background, teaching will be workshop-based, in which students will work in tutorial groups engaging in critiquing exercises. Different kinds of articles will be jointly critiqued, beginning with ‘everyday’ materials such as newspaper opinion pieces, thence moving on to informal presentations of psychological material in the form of discussion articles published in magazine-style journals such as ‘The Psychologist’, and ultimately building up to the critique of published articles in psychology journals. This will therefore simultaneously broaden the students’ knowledge on a psychological topic of great practical significance (just how good are ordinary members of the public at thinking critically?) and at the same time help to develop their skills in a way that should positively impact their studies of psychology at Honours level.

This class introduces students to the scientific study of belief in religion and belief in / experience of ‘paranormal’ phenomena.  The content is not concerned with the veracity of experiences or beliefs but rather how psychology can measure associated variables, explain the formation and maintenance of beliefs and examine the effect that holding such beliefs or having such experiences can have, both physically and psychologically.  Students will be expected to critically evaluate experimental methodology and theories of cognition in relation to the class content. 

This is a one semester class in which students will select an approved psychology topic for intensive, non-empirical study. Students will demonstrate an in-depth understanding of the conceptual and theoretical content of an area of psychology drawn from a list of approved topics. This class affords Honours students an opportunity to develop and demonstrate skills in literature search, information assimilation, evaluation and in depth critical analysis of a chosen topic. The class places emphasis on independent student learning. The course will help the student to develop critical writing skills over a period of time through independent writing and self-directed study. The aims are:

i. to develop an extensive in-depth knowledge of one key topic area in psychology.

ii. to develop critical thinking skills such as questioning the assumptions and conclusions of others and looking at alternative ways of dealing with questions, facts, and arguments.

iii. to develop and refine skills relating to the systematic acquisition of information.

iv. to develop and extend essay writing skills, including discussing and formulating arguments, summarizing, and presenting materials.

This class provides an introduction to the field of sleep health, which is a developing area of sleep psychology that focuses on the evaluation and treatment of sleep disorders by addressing behavioural, psychological, and physiological factors that interfere with sleep. Sleep disorders impair quality of life and contribute to physical and mental health problems. Despite this, they are an under-recognised and under-treated threat to public health. Sleep experts have long recognised the need for greater public awareness of the impact of poor sleep and the importance of promoting the evidence-base for appropriate assessment and treatment. This class will introduce students to the specialist, multidisciplinary area of sleep health with a very clear focus on insomnia disorder, the most common sleep disorder and the one of the most prevalent mental health complaints in Europe. 

In this class, we will cover the psychology, cognitive neuroscience, and real world applications of face perception and recognition. The class will cover current theory in relation to face recognition, but importantly we will also assess the critical use of faces in real world and forensic contexts. For example, faces are of critical importance in criminal identification in policing and the justice system (e.g. from CCTV, bystanders, juries and the victims of crime), and in the prevention of identity fraud (e.g. should we put our faces on our credit/debit cards?). There will also be a clinical aspect to this class as we’ll look at individual differences in face recognition, looking at patients with prosopagnosia and Metropolitan Police Super-recognisers. Each of these areas will be explored in detail, to show how our understanding of the science of face perception can inform us about our interest in, and reliance on, faces. 

It is understood that our population is ageing; for example, the fastest growing age group comprises those aged over 85 years. The potential for health, economic, and social burden due to ageing is therefore increasing. With a better understanding of ageing processes, the burden of an ageing population could be minimised, successful ageing and better quality of life promoted, and the contributions of older adults to society celebrated. Contemporary psychological theories of ageing will be presented from a number of perspectives, and the class will draw upon research that has used a variety of methodological approaches. Students will also be encouraged to engage with the material via a range of teaching methods, including traditional lecture content, video clips, and interactive tasks. Typically, we will address: theoretical and methodological approaches to studying psychology and ageing; cognitive ageing; lifestyle factors; emotion in older age; ageing in society, including stereotyping; ageing in the workplace/retirement; wisdom; the positive influences of older adults in society. Teaching delivery is anticipated to be via 5 on-campus sessions and an online peer review task.  

This class will build upon knowledge developed in second (Cognition & Neuropsychology C8201) and third year level (Cognition C8304). Specifically, it will provide further understanding on how to apply principles of psychological assessment in broader contexts. The class will pursue three aims: 1) promote understanding and knowledge about the contributions and challenges of psychological assessment in various contexts and settings, 2) familiarise with aspects related to the selection of appropriate testing procedures and 3) the generation of hypotheses to guide such procedures and interpret their outcomes.

The class will offer a critical appreciation of a range of tests, procedures and techniques used to better understand a person’s psychological makeup and behaviour. Knowledge will be acquired on how such tests and procedures are used in experimental and applied settings. Learning will involve case discussions, discussion of commonly used tests, with students investigating cases and procedures. Students will develop an appreciation of the types of psychological testing.

The aim of the class is to facilitate the development of knowledge and understanding of theories and evidence-based research in relation to the psychology of physical activity. This class will provide opportunities for students to develop their critical evaluation skills of theory and research and to gain experience of measurement and behaviour change techniques in this area. The aim is also to give students the opportunity to apply what they have learned to a ‘real-world’ case study by implementing a behaviour change intervention to increase active behaviours.  This class extends material covered in previous years in biological, social, cognitive and health psychology but is applied to physical activity behaviour. Level 4 classes are very popular with students as they cover focussed, specialist topics and staff expertise.   

This lecture series will critically examine the contribution that evolutionary theories have made to our understanding of human mate preferences. It will cover fundamental questions in the area, such as how mate preferences are shaped by environmental and hormonal factors, and will have a strong focus on recent methodological and theoretical controversies in the literature. 

Sleep is a multidisciplinary field and is relevant for a variety of medical fields such as neurology, respiratory medicine, cardiology, and psychiatry. The focus thereby lies on the physiological aspects of sleep, as well as the organic sleep disorders such as sleep apnoea or narcolepsy. However, sleep is also a behaviour, and examining sleep through the behavioural lens has implications for the field of psychology at the individual and also the public health level. If we can understand how to change sleep behaviour, we can initiate change in the individuals and the public's health and wellbeing. In this class, we will explore the importance of examining sleep at the behavioural level, which can be modified to improve health and wellbeing. 

The class will offer you the opportunity to acquire an in-depth understanding of the theories and empirical data that are relevant within the field of neuropsychology of ageing and dementia. It will cover the differences between normal and pathological decline in old age and will provide information on the neuropsychological profiles and pathologies which characterize different forms of dementia. It will provide you with a solid foundation in neuropsychology. You will learn to identify the features which can aid early diagnosis and differential diagnosis of the dementias (e.g. Alzheimer's disease, Vascular dementia and Lewy body dementias). You will become familiar with how different aspects of cognition are distributed within the brain and will be aware of the consequences of impairment.

Different methodologies that are used for the study of the dementias will also be explored (e.g. neuropsychological assessment, functional and structural neuroimaging) and you will learn to critically evaluate the benefits and pitfalls of each method.
Overall, the class will provide you with key knowledge that will be relevant for the study of neurological conditions, for health-based research more broadly, and relevant should you choose to work in academia, healthcare or other industries (linked to older adults or neurological populations).

Cognitive Psychology (CP) is central to the understanding processes that are required for memory, attention, and learning. It can also provide insights into cognitive conditions that affect how people function and behave. CP underpins all aspects of psychological theory and practice (synonymous with developmental, social, educational and neuro psychology). The class will explore and critically examine key learning theory and consider transference and application from theory to real life contexts.  

This class is an option which is available to a restricted number of students who'll apply to take part. It involves a placement with a European University partner working in a research team during the summer between years 3 and 4. Additional assessment is to be completed during semester 1 of year 4.

This class provides you with experience of the skills required to undertake project work, and to communicate the findings in written and oral form using a variety of sources, such as books, journals and the internet.

Here you'll get an introduction to ideas in mathematics and statistics that can be used to model real systems, with an emphasis on the valuation of financial derivatives. This module places equal emphasis on deterministic analysis (calculus, differential equations) and stochastic analysis (Brownian motion, birth and death processes). In both cases, in addition to theoretical analysis, appropriate computational algorithms are introduced. The first half of the class introduces general modelling and simulation tools, and the second half focuses on the specific application of valuing financial derivatives, including the celebrated Black-Scholes theory.

This class will present the main results in Functional Analysis, give an introduction to linear operators on Banach and Hilbert spaces and study applications to integral and differential equations.

This class will provide you with a range of applied statistical techniques that can be used in professional life.

You'll be introduced to the theory of Newtonian fluids and its application to flow problems and the dynamics of waves on water and in other contexts.

You'll be presented with the basic theory and practice of finite element methods and polynomial and piecewise polynomial approximation theory.

You'll be introduced to a range of modern statistical methods and practices used in industry, commerce and research, and will develop skills in your application and presentation.

Here you'll learn the application of mathematical models to a variety of problems in biology, medicine, and ecology. It'll show the application of ordinary differential equations to simple biological and medical problems, the use of mathematical modelling in biochemical reactions, the application of partial differential equations in describing spatial processes such as cancer growth and pattern formation in embryonic development, and the use of delay-differential equations in physiological processes. The marine population modelling element will introduce the use of difference models to represent population processes through applications to fisheries, and the use of coupled ODE system to represent ecosystems. Practical work will include example class case studies that will explore a real-world application of an ecosystem model.

This class will demonstrate the central role network theory plays in mathematical modelling. It'll also show the intimate connection between linear algebra and graph theory and how to use this connection to develop a sound theoretical understanding of network theory. Finally, it'll apply this theory as a tool for revealing structure in networks.

We'll introduce you to general continuum theory with applications to Newtonian and non-Newtonian fluids and elastic materials.

We'll provide you with a basic mathematical understanding of modern approaches to optimization and the calculus of variations.

Here you'll develop approaches to understanding complex or random systems in or out of equilibrium, based on ideas from statistical mechanics that incorporate familiar concepts and methods from neighbouring subjects like classical mechanics and probability and statistics.

You'll also be able to describe, through various examples and techniques, how macroscopic properties of systems arise from the ensemble action of many microscopic ingredients, and, specifically, how deterministic 'laws' may arise from basic randomness of a system with many variables or degrees of freedom. Fundamental examples include Brownian motion and the ideal gas.

We'll introduce mathematical models which arise in epidemiology and population dynamics, and help you develop techniques for analysing the qualitative behaviour of the associated dynamical systems.