1x 1 hour lab each week.
RMS is a very large class, so we will be running multiple labs each week. Please sign up to one of these and attend this same session each week. If you have not done so already, please sign up to a lab session via LEARN.
Lab sessions will provide the primary practical skill sets for working with data and completing statistical analysis in R. These are skills that require practice. So please do your best to attend all labs, and to work through all material that you dont finish in lab in your independent study time. As always, and issues, ask questions in labs, and come and see us in office hours.
The weekly problem sets act as a bridge from the more theory based lecture content, to the more practical labs. Unlike in RMS1 in year 2, problem sets for RMS2 focus more on the interpretation and understanding of model specification and results and how to write up results. There is far less hand calculation due to the increased complexity of the methods we are discussing. Understanding and conducting statistical analyses takes practice, and the problem sets form a core part of guided practice on this course.
The problem sets should be completed before arriving at the taught lab sessions. See the course Study Guide on LEARN for suggestions on time planning.
Problem Set and Lab topics will follow the content of lectures. See the Lectures section in this handbook and the Course Details page on LEARN.
The qualitative labs will run in exactly the same slots as the quantitative labs, so there is no need to sign up again. The lab sessions will provide you with the chance to practice conducting qualitative analysis and will provide the core practice necessary to complete the coursework report.
Lab topics are detailed on LEARN in the Course Details section.