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School of Computer Science BCS accreditation 2021 - 2026

Computer Science (Human Computer Interaction) BSc (Hons) - SOST20022 Essentials of Survey Design & Analysis


Return to programme overview.

2.1.1 Knowledge and understanding of facts, concepts, principles & theories

Understand theoretical and practical issues involved in the planning of surveys, including representation and measurement, total survey error, sampling frames, methods of data collection, questionnaire design, probability versus non-probability samples, simple randomsampling , stratified and cluster sampling, sample size calculations and standard errors.

Assesement : Examination, Individual coursework

2.1.3 Problem solving strategies

Understand how to create surveys to understand (for example) user's experience of systems

Assesement : Examination, Individual coursework

2.1.4 Analyse if/how a system meets current and future requirements

Construct surveys to understand user's experience of systems

Assesement : Examination, Individual coursework

2.1.5 Deploy theory in design, implementation and evaluation of systems

Construct surveys to understand user's experience of systems

Assesement : Examination, Individual coursework

2.1.6 Recognise legal, social, ethical & professional issues

Understand the legal, social and ethical issues with respect to collecting and handling data from human subjects.

Assesement : Examination, Individual coursework

2.2.4 Deploy tools effectively

Use the statistical software SPSS effectively on social science datasets.

Assesement : Individual coursework

3.1.4 Knowledge and understanding of mathematical and/or statistical principles

Carry out and interpret statistical analyses such as exploratory analysis and testing for differences and associations taking into account the survey design;

Assesement : Examination, Individual coursework

3.2.2 Defining problems, managing design process and evaluating outcomes

Understand the main requirements and problems of planning, organising and implementing a sample survey (including drawing a sample and designing questionnaires) and apply these to specific questions;

Assesement : Examination, Individual coursework

4.1.1 Knowledge and understanding of scientific and engineering principles

Provide an understanding of basic statistical methods and models for the analysis of quantitative social science data and their application in to HCI.

Assesement : Examination, Individual coursework

4.1.2 Knowledge and understanding of mathematical principles

Provide an understanding of basic statistical methods and models for the analysis of quantitative social science data and their application in a range of disciplines.

Assesement : Examination, Individual coursework

4.2.2 Defining problems, managing design process and evaluating outcomes

Understand the main requirements and problems of planning, organising and implementing a sample survey (including drawing a sample and designing questionnaires) and apply these to specific questions;

Assesement : Examination, Individual coursework

4.2.3 Principles of appropriate supporting engineering and scientific disciplines

Provide an understanding of basic statistical methods and models for the analysis of quantitative social science data and their application in a range of disciplines.

Assesement : Examination, Individual coursework