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ANTH47315: Simulating Data in R

Type Open
Level 4
Credits 15
Availability Not available in 2025/2026
Module Cap None.
Location Durham
Department Anthropology

Prerequisites

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

Corequisites

  • None

Excluded Combinations of Modules

  • 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.
  • Summative assessment is by a 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 students own academic discipline for a cross-disciplinary academic audience.

Teaching Methods and Learning Hours

ActivityNumberFrequencyDurationTotalMonitored
Workshops10Weekly220 
Preparation and Reading130 
Total150 

Summative Assessment

Component: Project Proposal PresentationComponent Weighting: 100%
ElementLength / DurationElement WeightingResit Opportunity
Presentation10-15 slides / equivalent to 10-15 mins delivery content.100

Formative Assessment

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

More information

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