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School of Computer Science BCS accreditation 2021 - 2026

Computer Science (Human Computer Interaction) MEng (Hons) - SOST30022 Advanced Social Network Analysis


Return to programme overview.

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

Introduce a toolbox for empirical investigation of theories on social interaction and complexity. Introduce the Practical issues involved in managing and analysing social network data.

Assesement : Individual coursework

2.1.3 Problem solving strategies

Introduce a toolbox for empirical investigation of theories on social interaction and complexity.

Assesement : Individual coursework

2.1.6 Recognise legal, social, ethical & professional issues

Ethical considerations relating to data handling, interpretation and reporting of quantitative analysis.

Assesement : Individual coursework

2.2.4 Deploy tools effectively

Skills in using social network datasets and practical experience of data analysis including using R and Vison

Assesement : Individual coursework

2.3.2 Development of general transferable skills

Data handling, interpretation and reporting of quantitative analysis. The course provides atoolbox whose acquired skills will make the student a network analyst with unique skillson the labour market. The well trained network analyst is a scarce resource and is uniquelyequipped to answer questions in a wide array of areas, from organisational problems inbusiness to disease spread in populations as well as being able to provide unique solutionsto address concerns about information flow from a government or business perspective.

Assesement : Individual coursework

3.1.4 Knowledge and understanding of mathematical and/or statistical principles

Basic skills in usingand applying essential mathematical concepts such as density and clustering coefficients.

Assesement : Not Assessed, Individual coursework

4.1.1 Knowledge and understanding of scientific and engineering principles

An understanding of the empirical requirements and evidence needed for drawing con-clusions about complex social processes. A broad knowledge of fundamental concepts insocial network analysis, both theoretical and technical.

Assesement : Individual coursework

4.1.2 Knowledge and understanding of mathematical principles

Basic skills in usingand applying essential mathematical concepts such as density and clustering coefficients.

Assesement : Individual coursework

4.2.3 Principles of appropriate supporting engineering and scientific disciplines

An understanding of the empirical requirements and evidence needed for drawing con-clusions about complex social processes. A broad knowledge of fundamental concepts insocial network analysis, both theoretical and technical.

Assesement : Individual coursework