G'day Derek @dsollberger
It is a completely general course for any undergrad student of the Uni or it belongs to a certain school? I think it is nice to have a final chapter covering some specific aspects of Data sience applications for the main field, i.e. stock assessment for fisheries, species distribution models for botany and so on (and that will be also transferable knowledge later on their degrees). Of course it is not possible to find a global interest topic like these for a broader audience, so, thinking in their future, maybe you could make more long-briad the part of normal distribution and include others like Poisson, exponential (you already mentioned exponential regresion) Then you could also easily introduce the generalized linear models.
BTW, I love seeing the topic 13 on your course!!! discuss the problems and p-hacking, and that p-values are not just a rule of thumbs is something new students needs to understand asap. in the recent ISEC (International statistical Ecology conference) several speackers discuss and were negative about just model averaging or model selection etc (I reckon Ben Bolker was one of them) but defending building the hypothesis a priori and then fit the data to those models (i.e. against p-hacking that at the end make getting one selected model and afterwards build up the hypothesis)