[Previous Course Code(s) LIFS 6000C]

[Background] Students are expected (i) to know calculus and basic probability and (ii) to have some experience of programming (in any language). Requirement (ii) can be satisfied by self-learning an R tutorial before the course.

Statistical analysis has become an essential component in research for testing hypothesis and designing experiments. This course is tailored to postgraduate students in Life Science. We will introduce common methodologies used in research, such as ANOVA, linear regression, nonparametric methods, and bootstrapping. The students will also gain practical skills of using R for analysis.

Credit(s): 3

Spring Semester