Statistics and Computation

(3 Credit Hours) · Undergraduate

Through lectures (content delivery, explanation), interactive drop-in sessions (reinforcement of learning), practicals (practise) and formative assessment (problem solving) we will provide students with a broad overview of the kinds of statistical and computational approaches that are commonly used across the biosciences. We will introduce the basics of programming techniques that are transferable across programming languages. This module will emphasise the importance of hypothesis generation and testing for different data types. We will introduce the basics of data driven modelling. We will enable students to work individually and in small groups to problem-solve and communicate the problem and solution in different formats.