Introduction to EEG/ERP
Rhedir gan School of Psychology
20.000 Credyd neu 10.000 Credyd ECTS
Trefnydd: Ms Ciara Egan
This module aims to give students an introduction into the theory and practicalities of using event-related potentials (ERPs) as a research technique, including background information on EEG/ERPs, specific experimental design for ERPs, and ERP data pre-processing steps. Students will also learn how to perform the basic pre-processing steps on EEG data in order to analyse ERPs in practical sessions.
1) General background to ERPs and specific components 2) Experimental Design when using ERPs 3) Critical evaluation of ERP research 4) Rationale for, and performing of various pre-processing and analysis steps
Links to C grades • Knowledge of key areas/principles • Understands the main elements of the subject area • Limited evidence of background study • Answer focussed on question but also with some irrelevant material and weaknesses in structure • Arguments presented but lack coherence • Has several factual/computational errors • No original interpretation • Only major links between topics are described • Limited problem solving • Some weaknesses in presentation and accuracy
Links to B grades • Strong knowledge • Understands most but not all of the subject area • Evidence of background study • Focussed answer with good structure • Arguments presented coherently • Mostly free of factual/computational errors • Some limited original interpretation • Well known links between topics described • Problems addressed by existing methods/approaches • Good presentation with accurate communication
Links to A grades • Comprehensive knowledge • Detailed understanding of subject area • Extensive background study • Highly focussed answer and well structured • Logically presented and defended arguments • No factual/computational errors • Original interpretation • New links between topics are developed • New approach to a problem • Excellent presentation with very accurate communication
To be able to pre-process EEG data in order to study ERP components.
To be able to critically evaluate and interpret the results of an ERP study.
To have a thorough understanding of ERP components, and of experimental design for ERP research.
|GWAITH CWRS||Designing an ERP Experiment||
Students will be required to design an experiment with an ERP component as the dependent variable. The proposal must draw upon the existing literature, contain sound practical implications, justification of the proposed design, and specific hypotheses.
|GWAITH CWRS||Analysis Homework 1||
Following the practical sessions that will focus on pre-processing (Weeks 29-32), students will be required to complete a worksheet based on the analyses performed in-class. There will be four homeworks (worksheets) to complete, and each will carry its own deadline (approximately one week after the practical session). The Module Organiser will confirm submission dates for each homework at the beginning of the semester, and these dates will be made clear on Blackboard.
|GWAITH CWRS||Paper Review & SAQs||
Students will be required to write a critical analysis of a set research paper, which should critically evaluate the rationale, design, analysis, and conclusions of the paper. This should be 1200 words in length. This assignment will also include some short answer questions.
|Analysis Homework 2||10.00|
|Analysis Homework 3||10.00|
|Analysis Homework 4||10.00|
Strategaeth addysgu a dysgu
|Practical classes and workshops||
A 2-hour practical session will be held every week beginning in week 24.
The module organiser will have a weekly one-hour drop-in for the module, that students may attend voluntarily. In this drop-in, students may ask questions about the course content and upcoming assessments.
A 2-hour lecture will be held every week.
You are expected to work for 200 hours for a 20 credit module. You should spend 156 hours revising the module content so that you are able to complete the different assignments, and gain a thorough understanding of the materials.
- Llythrennedd - Medrusrwydd mewn darllen ac ysgrifennu drwy amrywiaeth o gyfryngau
- Rhifedd - Medrusrwydd wrth ddefnyddio rhifau ar lefelau priodol o gywirdeb
- Defnyddio cyfrifiaduron - Medrusrwydd wrth ddefnyddio ystod o feddalwedd cyfrifiadurol
- Hunanreolaeth - Gallu gweithio mewn ffordd effeithlon, prydlon a threfnus. Gallu edrych ar ganlyniadau tasgau a digwyddiadau, a barnu lefelau o ansawdd a phwysigrwydd
- Archwilio - Gallu ymchwilio ac ystyried dewisiadau eraill
- Adalw gwybodaeth - Gallu mynd at wahanol ac amrywiol ffynonellau gwybodaeth
- Sgiliau Rhyngbersonol - Gallu gofyn cwestiynau, gwrando'n astud ar atebion a'u harchwilio
- Dadansoddi Beirniadol & Datrys Problem - Gallu dadelfennu a dadansoddi problemau neu sefyllfaoedd cymhleth. Gallu canfod atebion i broblemau drwy ddadansoddiadau ac archwilio posibiliadau
- Ymwybyddiaeth o ddiogelwch - Bod yn ymwybodol o'ch amgylchedd a hyder o ran cadw at reoliadau iechyd a diogelwch
- Cyflwyniad - Gallu cyflwyno gwybodaeth ac esboniadau yn glir i gynulleidfa. Trwy gyfryngau ysgrifenedig neu ar lafar yn glir a hyderus.
- Gwaith Tîm - Gallu cydweithio'n adeiladol ag eraill ar dasg gyffredin, ac/neu fod yn rhan o dîm gweithio o ddydd i ddydd
- Dadl - Gallu cyflwyno, trafod a chyfiawnhau barn neu lwybr gweithredu, naill ai gydag unigolyn neu mewn grwˆp ehangach
Sgiliau pwnc penodol
- Understand the scientific underpinnings of psychology as a discipline.
- Communicate psychological concepts effectively in written form.
- Be computer literate for the purpose of processing and disseminating psychological data and information.
- Retrieve and organise information effectively.
- Handle primary source material critically.
- Problem-solve by clarifying questions, considering alternative solutions, making critical judgements, and evaluating outcomes.
- Reason scientifically and demonstrate the relationship between theory and evidence.
- Understand and investigate the role of brain function in all human behaviour and experience.
- Carry out empirical studies by operationalizing research questions, generating hypotheses, collecting data using a variety of methods, analysing data using quantitative and/or qualitative methods, and present and evaluate research findings (under appropriate supervision).
- Comprehend and use psychological data effectively, demonstrating a systematic knowledge of the application and limitations of various research paradigms and techniques.
- Use a range of statistical methods with confidence.
- Use a variety of psychological tools, including specialist software, laboratory equipment and psychometric instruments.
Rhestrau Darllen Bangor (Talis)http://readinglists.bangor.ac.uk/modules/ppp-4002.html
Cyrsiau sy’n cynnwys y modiwl hwn
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