This is an archived handbook for a previous year. The current undergraduate and postgraduate handbooks can be viewed using the links above.

Postgraduate Handbook 2022-2023 (archived)

Module ANTH47315: Simulating Data in R

Department: Anthropology

ANTH47315: Simulating Data in R

Type	Level	Credits	Availability	Module Cap	Location
Open	4	15	Available in 2022/2023	None.	Durham

Pre-requisites

• SGIA49915 Quantitative Methods and Analysis, or completion of the Durham Research Methods Centre (DRMC) R school, or equivalent.

Corequisites

None

Excluded Combinations

None

Aims

To explore how simulation can be used to complement statistical regression analysis.
To explore how to simulate social dynamics.

Content

Indicative content as follows:
Simulating from statistical distributions in R.
Simulating regression data in R.
Simulating social dynamics in R.

Learning Outcomes

Subject-specific Knowledge

By the end of the module students should have:
Understanding of how to simulate data from appropriate statistical distributions.
Understanding of how to simulate data for regression analysis.
Understanding of how simulation can be used to estimate power and uncertainty.
Understanding of the principles underpinning simple Markov chain simulations.
Understanding of how social dynamics can be simulated.

Subject-specific Skills

By the end of the module students should be able to:
Simulate data from statistical distributions.
Simulate regression data.
Manipulate and run simple social simulations.

Key Skills

Students will develop some key and transferable skills:
Understanding how to use R code to run simple simulations.
Understanding the application of simulation modelling in empirical research.
Incorporating simulation methods in an empirical research project proposal.
Writing and reading reports of simulation methods.
Preparing presentations.

Modes of Teaching, Learning and Assessment and how these contribute to the learning outcomes of the module

The module uses a learner-centred model and flipped-classroom techniques:
Prior to each workshop, appropriate information which may include texts, tutor-videos and practical worksheets, are made available for the student to acquire generic conceptual and practical information. Students use an online discussion board to register queries and offer peer feedback.
Face-to-face or remote workshops include mixed forms of delivery as appropriate which may include lecture, tutorial and practical elements.

Teaching Methods and Learning Hours

Activity	Number	Frequency	Duration	Total Hours
Workshops	10	Weekly	2	20
Preparation and Reading				130
Total				150

Summative Assessment

Component	Component Weighting	Element	Length/Duration	Element Weighting	Resit Opportunity
Assessment	100%	Project proposal presentation – an annotated (i.e. speech written out in speaker notes appropriate for a 10-15 minute presentation) Powerpoint presentation proposing the use of simulation elements to a research project in the student’s own academic discipline for a cross-disciplinary academic audience.	10-15 slides / equivalent to 10-15 mins delivery content.	100%	Yes

Formative Assessment

Students submit and receive written feedback on a plan for their summative presentation (limit: 500 words).

Students who do not attend monitored activities shown under Teaching Methods and Learning Hours, or who fail to complete the summative or formative assessment(s) specified above, may be subject to the Academic Progress procedures defined in the University's General Regulation V, and may be required to leave the University.