Clearing 2021
MA Public Opinion and Political Behaviour
BSc Cognitive Science options

Final Year, Component 02

Option(s) from list
Information Retrieval

This module offers you an understanding of standard IR models, of their merits and limitations, and teaches you how to design and implement a standard information retrieval system. Discover the essential foundations of information retrieval and gain solid, applicable knowledge of state-of-the-art search technology. Explore advanced concepts of search applications such as personalisation, profiling and contextual search.

Evolutionary Computation and Genetic Programming

Evolutionary computation is an exciting area of artificial intelligence that focuses on systematic methods (known as evolutionary algorithms) inspired by Darwinian evolution for getting computers to automatically solve problems starting from a high-level statement of what needs to be done. Evolutionary algorithms are today routinely used to solve difficult problems in industry, medicine, biology, finance, and much more. Evolutionary algorithms can even consistently solve difficult problems which require solutions in the form of computer programs. This is a form of automatic programming that is known as genetic programming. In this module you will learn how to use evolutionary algorithms and genetic programming to solve real-world problems from an international authority in these areas.

Natural Language Engineering

As humans we are adept in understanding the meaning of texts and conversations. We can also perform tasks such as summarize a set of documents to focus on key information, answer questions based on a text, and when bilingual, translate a text from one language into fluent text in another language. Natural Language Engineering (NLE) aims to create computer programs that perform language tasks with similar proficiency. This course provides a strong foundation to understand the fundamental problems in NLE and also equips students with the practical skills to build small-scale NLE systems. Students are introduced to three core ideas of NLE: a) gaining an understanding the core elements of language--- the structure and grammar of words, sentences and full documents, and how NLE problems are related to defining and learning such structures, b) identify the computational complexity that naturally exists in language tasks and the unique problems that humans easily solve but are incredibly hard for computers to do, and c) gain expertise in developing intelligent computing techniques which can overcome these challenges.

Algorithmic Game Theory
Language and the Mind

This module builds on notions and topics approached and developed in psycholinguistics modules in Years 1 and 2. Now that you have an understanding of key concepts and processes, we will focus on current trends and recent research published on a range of aspects in the field. Resolutely driven by current research, the module focuses on how empirical study can advance theories on how language is stored and processed in the mind, how language is learned and how language is used. This will contribute to a more precise grasp of theories of language processing, representation, learning and use.

Statistical Methods

This module will enable you to expand your knowledge on multiple statistical methods. You will learn the concepts of decision theory and how to apply them, have the chance to explore “Monte Carlo” simulation, and develop an understanding of Bayesian inference, and the basic concepts of a generalised linear model.

Applied Statistics

How do you apply multivariate methods? Or demographical and epidemiological methods? And how do you apply sampling methods? Study three application areas of statistics – multivariate methods, demography and epidemiology, and sampling. Understand how to apply and assess these methods in a variety of situations.

The Neuroscience of Human Nature

Discover the neuroscience behind key elements of human nature. These include, understanding the faces and bodies of others, how we copy body language to show empathy and the processes that drive motivation and emotion. You will also investigate autism and schizophrenia which occur when these processes aren’t working effectively.

Decision making science in theory and practice

Can psychology help make better decisions? Yes! From curbing climate change to selecting the best candidate for the job, decision-making science has many important insights to offer, which is why it is becoming increasingly popular in education, politics, business, economics and health. Governments, businesses and charities all understand the value of identifying decision pitfalls (eg social and cognitive biases) and using strategies to overcome these. In this module, you will learn about decision-making theories and gain the skills to understand, predict and improve people's decisions for real-world issues (eg "how can we help doctors better diagnose patients?", "how do we motivate people to exercise more often?", "how can we encourage people to be more prosocial?").

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