Foundation of Neuroscience

The module will provide a foundation in data science principles and techniques. Topics covered may include:

  1. The role of code in data exploration and analysis
  2. Loading, selecting and visualising data sets from different sources
  3. Basic programming for data analysis
  4. Data structures including arrays and data frames
  5. Principles of inference using simulation and resampling
  6. Straight line relationships with correlation and regression
  7. Numerical optimisation
  8. Regression for prediction and inference
  9. Bootstrap methods
  10. Machine learning methods for prediction

Finally, you will complete an independent group data analysis project in which you find, load, clean, explore and analyse a data set of your choice, using inference or prediction methods as necessary. This will be the primary basis of the course assessment.