ANTH47315: Simulating Data in R
Type | Open |
---|---|
Level | 4 |
Credits | 15 |
Availability | Available in 2024/2025 |
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.
Teaching Methods and Learning Hours
Activity | Number | Frequency | Duration | Total | Monitored |
---|---|---|---|---|---|
Workshops | 10 | Weekly | 2 | 20 | |
Preparation and Reading | 130 | ||||
Total | 150 |
Summative Assessment
Component: Assessment | Component Weighting: 100% | ||
---|---|---|---|
Element | Length / Duration | Element Weighting | Resit Opportunity |
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. | 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).
More information
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