Sunday, June 12, 2016

ST2132 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.

ST2132: Mathematical Statistics

what do you learn?
this module is more of the final module that is really content heavy and that is really loaded with theoretical statistics. to me, this module is sort of a build up on ST1131 and ST2131. this is a compulsory module for numerous majors. by far, this is the heaviest content statistical module because even higher level statistical modules emphasise more on few concepts and topics but this module is like a giant net. its contents include method of moments, maximum likelihood and many other topics. 

how are you being graded?
like most of the mathematics and statistics module, the grade for the module relies heavily on exams. in this case, midterms and finals will give you your overall grade.

my take on this module?
the first half of this module, in other words those covered prior to midterms, is repetitive of other statistical modules. you learn the various distributions and probabilities. pretty straightforward, hence the slightly easy midterms. those after that are new and rather complex at first glance. the final paper was rather challenging. well, assessments aside, the things you learn in this module is really useful and need in future statistical modules. tutorials can be challenging as well, if you intend to try during the course of the semester.. lol.

advices?
practise the tutorial questions and past year papers in preparation for the exams. by now one should already know that there isn’t many shortcuts in such modules.. one has to be exposed to various questions and try to ensure you are understanding the concepts taught in the module. for the semester when i took this module, the final paper was both challenging and lengthy but fret not.. just doing at your quick but cautious pace and be careful with calculations. don’t worry about finishing the paper or having to skip some parts/questions. last minute cramming of knowledge is not advisable considering the amount of content this module has.

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.

ST2137 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.

ST2137: Computer Aided Data Analysis

what do you learn?
while this is a statistics module, i know there are numerous non-statistics students who took this module and found this very useful to them. this module basically teaches you to handle data by using programs such as SAS, R, SPSS. these programs are useful in more than just the statistics course of study. concepts taught and used include one-way analysis of variance, non-parametric tests, resampling, simple simulations and others. 

how are you being graded?
this module grades you on tutorial attendance, group project, midterms and finals. i can understand the need to “force” students to go for tutorial because after all the main takeaways from this module are from the tutorial classes. the group project is used as a gauge to see how you could use the three programs taught to make data analysis. ohh, a bonus grading will be participation in forum. bonus.. so even if you don’t write anything and be active on the IVLE forum, you will be fine.

my take on this module?
this module isn’t exactly difficult but i wouldn’t say it is easy as well. firstly, you are learning 3 programs. this takes time to get used to unless you have prior knowledge on how to use them. the tutorial practices are very useful in assisting you with the understanding and using of the programs. as for the project, just appreciate the thought process and what not when doing it, don’t sweat too much over it.

advices?
consistent work is needed for once you lag, the amount of doubts will definitely snowball almost instantly. it is sort of programming after all. try the tutorials before hand though i understand certain programs cannot be obtain free from the internet via legal means. the R program is free though. so at least try a little before heading for the tutorial class itself. as for the exam papers, know the basics of the program and those of the statistical concepts taught. these will help you in the true/false questions of the exams. make use of your cheatsheet and write down examples from your tutorials as subsequent questions of the papers might need them.

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.

MKT1003X 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.

MKT1003X: Marketing

what do you learn?
well, for starters, you learn marketing.. duh, lol. yeah, really, hell lot of concepts and knowledge on marketing. level 1000 modules then to be similar. the class would love to pump in all the foundation knowledge, hence the extensive amount of information learned.this module teaches you the basics of marketing such as SWOT analysis, consumer buying process, advertising, supply chain, market segmentation and many more. pretty interesting module to take but revision wise can be rather tiring and tedious.

how are you being graded?
like any other usual business modules, CAs play quite a role in your final grade as well. in this case, your CAs come from group project, individual report, subject pool, tutorial participation and finals. for group project, you are expected to come up with a report before presenting near the end of the semester. individual report is relatively manageable. subject pool, in case you have never heard of this term before, is you participating in survey experiments conducted in the school of business to earn your marls. talk at least once in each tutorial for the participation part.

my take on this module?
interest is very important when it comes to me deciding which modules to take and of course i will go back to it at the end of the course. personally, i find this module rather interesting and somewhat useful in helping me to understand the market out there a little. furthermore, the statistics field is venturing into marketing in recent years.. so who knows.. my major might just be useful in marketing world someday. at least i can say i have prior marketing knowledge. the CAs and finals are manageable i guess.. not too easy nor too difficult anyway.

advices?
pay attention to tutorials and do take mock test papers or past year papers seriously. tutorials can allow you to gain insights in tackling marketing questions and understanding the topics covered. mock practices gear you up for the finals and also help you pick out areas you lack clear understanding in. subject pool is easy marks.. go do those tasks as soon as possible. don’t wait for a later date then start to hunt for subject pool to do.

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.