ST4234 review (NUS)

DISCLAIMER: firstly, i am not a professional writer, so if there are mistakes in my language, move on. secondly, the review is mostly based on opinions, so i would advise you to google for more reviews to get a diverse take on the modules you are interested in. thirdly, module details change every semester, so do not expect every assessment will stick. last but not the least, i will not talk about grades. hope this is useful for you, cheers.

things you lean: -

titled "Bayesian Statistic", this module offers a very fresh take on analytics using the Bayesian mindset or approach or method.. whatever you want to call it. it definitely open doors to more possibilities in terms of data exploration and analysis. the entire module circles around the posterior, prior, likelihood. computational methods picked out include Monte Carlo approximation, hierarchical models, multi-parameter models and others.

assessments: -

students were assessed on tutorial presentation, group project, midterm exam and final exam. the tutorial presentation was done in groups of 3 or 4. a group is expected to present once per semester only. the group project was done with the same group. it involved literature review on Bayesian researches and a task on Bayesian computation. the exam papers were rather challenging.

my opinion on the module: -

i love this module. i think i learned quite a lot from this module. like i mentioned earlier, this module gives you a fresh look on handling data and what not when it comes to statistical analysis. as the Bayesian approach is relatively new compared to classical statistics, you get to see the potential for it to move on in years to come. nonetheless, a word of caution is this module is very challenging. you need quite a bit of time to understand and do the tutorials. group project is painful but not as painful as i feared probably due to my awesome and cooperative group members. i would always advise any juniors to take this module.. but if you aren't those who love challenges then skip this.

click here to see the modules i have read and their respective reviews. do feel free to contact me via Telegram @alvinngjh for any questions or what not.