ANTH47315: Simulating Data in R

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

• None

• None

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

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

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.

• 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.

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