yes this is an update of my life.
back to internship after the reservist. still awaiting for my bonus cash from scoring in IPPT. still waiting for that text from MINDEF lol. that aside, there is more cash from elsewhere as well. got a text about the GST voucher as well. yeah.. i see it coming to me soon lol. and then there are the vouchers to mark 50 years of NS.
okay enough money talk. i am back in Biopolis picking up the pace of the project i am working on throughout my internship period. prior to reservist i have completed one project and though that one was simpler, the nature of the code and what not was very challenging without prior knowledge. from what i heard, there was suppose to be a computer science intern with me but then.. budget. so yeah painful struggle but was glad that it is over. back to the main project now, i am glad there is clearer direction to what is next.. unlike the last time i check and that we were still waiting for replies and inputs from people of other fields.
i apologise if details are rather vague but i can't discuss into specifics hence the generic terms and description. the week in reservist is quite timely as well. it marks the halfway point of this internship journey.
apart from being busy with the project, i am looking for a FYP supervisor as well. one of the many i have contacted is more or less likely to be my supervisor. being interested in biostatistics, epidemiology and public health, there are not many options.. very few faculty members in my department share similar interests. so i am really thankful to have found one who is very likely to be my supervisor. weekends are more precious when one is working. shall enjoy my Friday night and weekends. until next time then, cheers.
Friday, June 30, 2017
Monday, June 26, 2017
"holiday"
yes this is an update of my life.
guess i ought to update here as i wait for my hair to dry before heading into dreamland. well, happy Monday everybody. Singaporeans get to enjoy one more day of the weekend thanks to an in-lieu holiday.. perks of living in a multi-racial and multi-religious country.
feels as though i have not been to my internship for a very long time. well, one week is somewhat long in the busy life here in Singapore i guess. over the last week i was on "holiday", spending slightly more than half of the time serving my 2nd cycle of reservist. passed IPPT.. yeah to extra money, yeah to not watching diet for next 10 months or so, yeah to less personal training. okay, maybe annual IPPT is useful in keeping myself in a shape that i can still pass the test and not rot into a fat lump of meat or something.
been watching a lot of movies lately as well. summer period is a time where drama series aren't that "active" so to speak.. so i get to catch up on the movies that i wanted to watch over the last few months or so. heading out with the family in a few hours as well. then it will be the official end of my one week "holiday". Tuesday blues will be here, marking the start of a four-day work week. until next time then, cheers.
guess i ought to update here as i wait for my hair to dry before heading into dreamland. well, happy Monday everybody. Singaporeans get to enjoy one more day of the weekend thanks to an in-lieu holiday.. perks of living in a multi-racial and multi-religious country.
feels as though i have not been to my internship for a very long time. well, one week is somewhat long in the busy life here in Singapore i guess. over the last week i was on "holiday", spending slightly more than half of the time serving my 2nd cycle of reservist. passed IPPT.. yeah to extra money, yeah to not watching diet for next 10 months or so, yeah to less personal training. okay, maybe annual IPPT is useful in keeping myself in a shape that i can still pass the test and not rot into a fat lump of meat or something.
been watching a lot of movies lately as well. summer period is a time where drama series aren't that "active" so to speak.. so i get to catch up on the movies that i wanted to watch over the last few months or so. heading out with the family in a few hours as well. then it will be the official end of my one week "holiday". Tuesday blues will be here, marking the start of a four-day work week. until next time then, cheers.
Sunday, June 25, 2017
Monday, June 19, 2017
compulsory staycation
yes this is an update of my life.
well it is more or less middle of my internship period. this milestone coincidentally is marked by a compulsory staycation enforced by the government of Singapore.. better known as reservist. yeah.. will be away on reservist for the next couple of days.
pause the hectic life of an intern. hello to a temporary life of a soldier again. until next time then, cheers.
well it is more or less middle of my internship period. this milestone coincidentally is marked by a compulsory staycation enforced by the government of Singapore.. better known as reservist. yeah.. will be away on reservist for the next couple of days.
pause the hectic life of an intern. hello to a temporary life of a soldier again. until next time then, cheers.
Sunday, June 18, 2017
year three in review (NUS)
so somewhat overdue reviews are here. at least apart from lazing around, hanging out and busy with internship, i have done something useful before heading to reservist. well ohh well.. year 3 has not been any easier of course. personally, i felt that the second semester could have been better in terms of results. i decided to slack of a little at a crucial time. nonetheless, still glad that my CAP still remained around the same as before. well, maybe that is because it is end of year 3 so not so volatile.
so scary how time really flies when one is in college. i thought only when one is enjoying time flies. well, college has been fun of course.. fair bit of fun. so here i am.. nearing the final year in college. shall make full use of the opportunities and what not and join some stuff before i am no longer a student.. probably for the rest of my life. okay, enough talk.. here are the modules that i read over the last academic year.
year 3 semester 1: -
EC2101 ST3233 ST3236 ST3243 ST4233
year 3 semester 2: -
DSC1007X FMS1205P SPH2101 ST3241 ST4232 ST4240
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.
so scary how time really flies when one is in college. i thought only when one is enjoying time flies. well, college has been fun of course.. fair bit of fun. so here i am.. nearing the final year in college. shall make full use of the opportunities and what not and join some stuff before i am no longer a student.. probably for the rest of my life. okay, enough talk.. here are the modules that i read over the last academic year.
year 3 semester 1: -
EC2101 ST3233 ST3236 ST3243 ST4233
year 3 semester 2: -
DSC1007X FMS1205P SPH2101 ST3241 ST4232 ST4240
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.
EC2101 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.
what do you learn?
this is the next level of EC1301 for sure, just that you will be focused on microeconomic concepts like the title of the module suggests. you will get to learn concepts such as indifference curves, constrained optimisation, utility, consumer welfare, market demand, exchange economy, short-term/long-term cost, competition and many more.
assessments?
we were graded on tutorial attendance/participation, 2 individual homework, midterms and finals.
my personal opinion?
if you do not like mathematics, do not take this module. this module really involves a lot of mathematics unlike EC1301. of course, understanding of the content is important before the mathematics part. concepts are relatively understandable after a while. aim for full marks for the homework. exams are just right.. not too difficult nor easy but just remember to do fast. the questions in exams are slightly more challenging than those you see in tutorials and assignments. so practising them is probably the bare minimum in preparing for the exams. practice and familiarity is very important for this module.
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.
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.
ST3233 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.
what do you learn?
obviously, in this module, you will be dealing with all time series data and the numerous ways in handling and analysing them. you will be introduced to models such as ARIMA models with algorithms like Holt's and Holt-Winter's algorithms. prior to these, you will learn who to identify a stationary time series.
assessments?
for this module, the assessments vary greatly from one lecturer to another. for the semester that i took it, we were graded on 3 group assignments, midterms and finals.
my personal opinion?
this module is a very useful model for it touches on time series data which most other statistics modules do not exactly use. time series data is commonly used outside as well and i think it is rather important to have at least a rough idea and foundation on how to deal with them. the assignments can be rather time consuming but being group effort, they are good avenues to really learn and try whatever ideas you can have in dealing with time series data. these assignments in a way allow a freedom to explore. exams for this module can be challenging though.
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.
what do you learn?
obviously, in this module, you will be dealing with all time series data and the numerous ways in handling and analysing them. you will be introduced to models such as ARIMA models with algorithms like Holt's and Holt-Winter's algorithms. prior to these, you will learn who to identify a stationary time series.
assessments?
for this module, the assessments vary greatly from one lecturer to another. for the semester that i took it, we were graded on 3 group assignments, midterms and finals.
my personal opinion?
this module is a very useful model for it touches on time series data which most other statistics modules do not exactly use. time series data is commonly used outside as well and i think it is rather important to have at least a rough idea and foundation on how to deal with them. the assignments can be rather time consuming but being group effort, they are good avenues to really learn and try whatever ideas you can have in dealing with time series data. these assignments in a way allow a freedom to explore. exams for this module can be challenging though.
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.
ST3236 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.
what do you learn?
you will be introduced to processes such as discrete-time Markov chains. features of these chains like irreducibility and what not will be introduced to you. you will be made familiar to other terms such as recurrence and transience as well. thereafter, there will be Kernel methods as well.
assessments?
the module grades based on one personal assignment and finals.
my personal opinion?
the nature of the the content of this module is very difficult and confusing as well. the assignment is slightly challenging. as for finals, i would say it really depends the lecturer for a given semester. for mine, it was taught under a statistics professor who set the paper based heavily on examples and tutorial questions. this led to finals being more of a cheatsheet battle rather than a test of understanding and intelligence. this is probably the most painful level 3000 statistics module that i have ever taken so far.
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.
what do you learn?
you will be introduced to processes such as discrete-time Markov chains. features of these chains like irreducibility and what not will be introduced to you. you will be made familiar to other terms such as recurrence and transience as well. thereafter, there will be Kernel methods as well.
assessments?
the module grades based on one personal assignment and finals.
my personal opinion?
the nature of the the content of this module is very difficult and confusing as well. the assignment is slightly challenging. as for finals, i would say it really depends the lecturer for a given semester. for mine, it was taught under a statistics professor who set the paper based heavily on examples and tutorial questions. this led to finals being more of a cheatsheet battle rather than a test of understanding and intelligence. this is probably the most painful level 3000 statistics module that i have ever taken so far.
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.
ST3243 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.
what do you learn?
this is like a very good amalgamation of statistics and epidemiology. you get to learn more on odds ratio, relative risk, dealing with confounders, standardisation of data, logit regression, poisson regressoin and many more. you will get to learn how to analyse a dataset from epidemiology point of view as well.
assessments?
the assessments are lecture attendance, individual project and finals.
my personal opinion?
easy module but nonetheless very informative. the only catch is the classes are late in the afternoon/evening.. 6pm to 10pm. on paper, the lecture is 3 hours and tutorial is 1 hour but most of the time you will end by 9pm. the class is sort of mostly lecture because there are no tutorials to do as well. due to the small class size, the lecture is very area to learn and interact. the individual project is manageable just very time consuming. do make sure to practise past year papers to be really familiar with the format and type of questions to expect for finals.
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.
what do you learn?
this is like a very good amalgamation of statistics and epidemiology. you get to learn more on odds ratio, relative risk, dealing with confounders, standardisation of data, logit regression, poisson regressoin and many more. you will get to learn how to analyse a dataset from epidemiology point of view as well.
assessments?
the assessments are lecture attendance, individual project and finals.
my personal opinion?
easy module but nonetheless very informative. the only catch is the classes are late in the afternoon/evening.. 6pm to 10pm. on paper, the lecture is 3 hours and tutorial is 1 hour but most of the time you will end by 9pm. the class is sort of mostly lecture because there are no tutorials to do as well. due to the small class size, the lecture is very area to learn and interact. the individual project is manageable just very time consuming. do make sure to practise past year papers to be really familiar with the format and type of questions to expect for finals.
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.
ST4233 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.
what do you learn?
this module is like a big next level from linear algebra and regression analysis. you get to learn more on regression models, sensitivity analysis and many more. the content is great so much so i can find ways to put into words and what not. proofs.. yes, you get to learn a lot of proofs as well. you will come across terms like positive definite, semi-positive definite, SVD and many more.
assessments?
this module's assessments vary greatly from one lecturer to another. however, for mine, we were graded based on five homework, project and finals.
my personal opinion?
this was my first level 4000 module i ever took and i have to say this is definitely not the definition of all the level 4000 modules that i have took so far. this is by far the toughest one yet. the content is rather challenging and the insane amount of assessments and workload don't help the student. the project allowed us to choose to do individually or in pairs. of course, i chose the latter. project is alright but the homework and finals were brain wrecking.
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.
what do you learn?
this module is like a big next level from linear algebra and regression analysis. you get to learn more on regression models, sensitivity analysis and many more. the content is great so much so i can find ways to put into words and what not. proofs.. yes, you get to learn a lot of proofs as well. you will come across terms like positive definite, semi-positive definite, SVD and many more.
assessments?
this module's assessments vary greatly from one lecturer to another. however, for mine, we were graded based on five homework, project and finals.
my personal opinion?
this was my first level 4000 module i ever took and i have to say this is definitely not the definition of all the level 4000 modules that i have took so far. this is by far the toughest one yet. the content is rather challenging and the insane amount of assessments and workload don't help the student. the project allowed us to choose to do individually or in pairs. of course, i chose the latter. project is alright but the homework and finals were brain wrecking.
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.
DSC1007X 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.
what do you learn?
this module exposes one to the world of business analytics. it offers a wide range of learning outcomes which include decision making through decision trees, Excel simulations, optimisation and many more. while a level 1000 module might not help much when it comes to to real life applications, it is a really good introduction module to business analytics. for those who are unfamiliar with Excel and wants to learn slightly more on its uses, this is module to consider as well.
assessments?
this module has a lot of assessments. they are tutorial attendance, tutorial participation, tutorial submissions, quizzes, group project and finals.
my personal opinion?
the content is very easy, especially those who are good at and love mathematics. the first few chapters are basically applied probability and discrete/continuous distributions. thereafter, more business analytics topics will be covered. the entire course require lots of Excel. the tutorial submissions are to be done with the same group you are doing the project with. not taxing just troublesome. quizzes are alright. for tutorial participation, just present once or twice would do the trick. finals is fairly well-structured.. with a good mix of easy questions and thought-provoking ones. personally, i don't find this module difficult nor very easy.. it is just alright.. not giving me too much stress nor igniting my complacency.. haha.
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.
what do you learn?
this module exposes one to the world of business analytics. it offers a wide range of learning outcomes which include decision making through decision trees, Excel simulations, optimisation and many more. while a level 1000 module might not help much when it comes to to real life applications, it is a really good introduction module to business analytics. for those who are unfamiliar with Excel and wants to learn slightly more on its uses, this is module to consider as well.
assessments?
this module has a lot of assessments. they are tutorial attendance, tutorial participation, tutorial submissions, quizzes, group project and finals.
my personal opinion?
the content is very easy, especially those who are good at and love mathematics. the first few chapters are basically applied probability and discrete/continuous distributions. thereafter, more business analytics topics will be covered. the entire course require lots of Excel. the tutorial submissions are to be done with the same group you are doing the project with. not taxing just troublesome. quizzes are alright. for tutorial participation, just present once or twice would do the trick. finals is fairly well-structured.. with a good mix of easy questions and thought-provoking ones. personally, i don't find this module difficult nor very easy.. it is just alright.. not giving me too much stress nor igniting my complacency.. haha.
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.
FMS1205P 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.
what do you learn?
in this module, you get to learn very complex physics stuff.. nanotechnology and what not. in FMS modules, content tend to be very deep in hope to spark interest of students into specialising or researching more in the near future. this module is no exception.
assessments?
it is FMS.. what assessments lol. just simple presentation and write-up.
my personal opinion?
FMS modules are known to be relaxing. yes, they are regardless of the content. i did not take physics since secondary 2 and i took this anyway. yes, i am pretty lost but nonetheless fascinated by the content. being a gradeless module sort of allowed me to relax and enjoy what was being discussed throughout the course. furthermore, i got to head into some cool lab in the middle of the semester known as the Singapore Synchrotron Light Source.
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.
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.
SPH2101 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.
what do you learn?
one gets to learn epidemiology concepts that range from study designs to calculations and deductions. you will be introduced to terms such as odds, risk, sensitivity, specificity and what not. you will get to learn roughly how an actual epidemiological study is conducted through the group project. you will learn quite a lot of calculation methods as well.. though just being good a math will not help you to score in this module.
assessments?
students are graded through group project, participation of randomised controlled trial, tutorial quizzes, tutorial attendance and finals.
my personal opinion?
this module is one of the most interesting modules i have taken in NUS thus far due to the nature of some of their assessments. like for the group project, we get to head out to interview some staff before coming together to work on the written submission. the tutorial quizzes are very tricky and i realised it is rather crucial to actually score full marks for them. yes, the bell curve is very steep for this module. the calculations and concepts taught in this module are very simple. tutorials are alternate weeks and lectures are rather chill. due to the nature of the bell curve, minimise careless mistakes in quizzes and finals.
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.
what do you learn?
one gets to learn epidemiology concepts that range from study designs to calculations and deductions. you will be introduced to terms such as odds, risk, sensitivity, specificity and what not. you will get to learn roughly how an actual epidemiological study is conducted through the group project. you will learn quite a lot of calculation methods as well.. though just being good a math will not help you to score in this module.
assessments?
students are graded through group project, participation of randomised controlled trial, tutorial quizzes, tutorial attendance and finals.
my personal opinion?
this module is one of the most interesting modules i have taken in NUS thus far due to the nature of some of their assessments. like for the group project, we get to head out to interview some staff before coming together to work on the written submission. the tutorial quizzes are very tricky and i realised it is rather crucial to actually score full marks for them. yes, the bell curve is very steep for this module. the calculations and concepts taught in this module are very simple. tutorials are alternate weeks and lectures are rather chill. due to the nature of the bell curve, minimise careless mistakes in quizzes and finals.
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.
ST3241 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.
what do you learn?
this module teaches you the many ways to handle categorical data and variables. you will get familiar with numerous models and methods such as logit models, poisson models, odds ratio, relative risk and many more. this module exposes you to quite a few or R packages as well which can be rather useful.
assessments?
grading comes from quite a few areas. they are tutorial submissions, tutorial attendance, midterms and finals.
my personal opinion?
there is not much room for errors when taking this module.. the bell curve is rather steep. this is where the stress comes from. the content and what not is manageable though tutorial submissions can be a little annoying. these submissions are done weekly and most questions require R to be done. there are quite a few proofs as well but in exams, normally the last question is proving.. that's all. exam questions are similar to tutorial questions.. of course R outputs will be given. be very familiar with the explanation of each output and what to score well in exams.
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.
what do you learn?
this module teaches you the many ways to handle categorical data and variables. you will get familiar with numerous models and methods such as logit models, poisson models, odds ratio, relative risk and many more. this module exposes you to quite a few or R packages as well which can be rather useful.
assessments?
grading comes from quite a few areas. they are tutorial submissions, tutorial attendance, midterms and finals.
my personal opinion?
there is not much room for errors when taking this module.. the bell curve is rather steep. this is where the stress comes from. the content and what not is manageable though tutorial submissions can be a little annoying. these submissions are done weekly and most questions require R to be done. there are quite a few proofs as well but in exams, normally the last question is proving.. that's all. exam questions are similar to tutorial questions.. of course R outputs will be given. be very familiar with the explanation of each output and what to score well in exams.
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.
ST4232 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.
what do you learn?
well, of course, from the module title, you know you will be dealing with all the non-parametric statistical methods. these include things such as sign test, Wilcoxon signed rank test, Wilcoxon rank sum test, Kruskal-Wallis test statistic, Spearman's rank correlation, order statistics, goodness of fit test and Kernel density estimator. this module relies heavily on statistical methods and there are quite a number of proofs to be familiar with.
assessments?
students are graded on an assignment (that has similar weightage as typical midterms) and finals.
my personal opinion?
the content is very easy to understand and pick up, you just have to be mindful of careless mistakes for careless mistakes can be very costly in this module. the many proofs present in this module can be annoying but not all are very difficult. the workload and content is very manageable. aim for full marks for the assignment for the mean/median for it is very close to 100%. finals can be difficult at the end but the first few questions are the standard tutorial and assignment questions. practise plays a very very very big role to scoring in this module. the bell curve isn't as smooth as a typical statistical module but not that steep also.
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.
what do you learn?
well, of course, from the module title, you know you will be dealing with all the non-parametric statistical methods. these include things such as sign test, Wilcoxon signed rank test, Wilcoxon rank sum test, Kruskal-Wallis test statistic, Spearman's rank correlation, order statistics, goodness of fit test and Kernel density estimator. this module relies heavily on statistical methods and there are quite a number of proofs to be familiar with.
assessments?
students are graded on an assignment (that has similar weightage as typical midterms) and finals.
my personal opinion?
the content is very easy to understand and pick up, you just have to be mindful of careless mistakes for careless mistakes can be very costly in this module. the many proofs present in this module can be annoying but not all are very difficult. the workload and content is very manageable. aim for full marks for the assignment for the mean/median for it is very close to 100%. finals can be difficult at the end but the first few questions are the standard tutorial and assignment questions. practise plays a very very very big role to scoring in this module. the bell curve isn't as smooth as a typical statistical module but not that steep also.
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.
ST4240 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.
what do you learn?
this module is one of the modules Statistics major students get to choose to take or not. it is not a compulsory level 4000 core module. through this course, one will be exposed to statistical techniques so as to analyse big data and pick out possible trends/relationships amongst the little mess. one will be exposed to techniques such as decision tress, random forest, classification and Ridge/LASSO regression.
assessments?
assessments vary quite a bit from lecturer to lecturer. for mine, we were graded on 3 group assignments, midterms and finals.
my personal opinion?
i find this module very interesting though it can be really challenging now and then. the group assignments are relatively easy to understand but time taken can be disproportionate to the weightage of the assessment.. lol. of the 3 group assignments, one includes a Kaggle competition among your coursemates. i suggest one to start early on this. content is alright when it comes to understanding but applying can be rather challenging. the exams are challenging for sure.. do not feel too discouraged if you cannot do like half of the paper. practise tutorial questions and be really familiar with the style and methods used in preparation for the exams.
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.
what do you learn?
this module is one of the modules Statistics major students get to choose to take or not. it is not a compulsory level 4000 core module. through this course, one will be exposed to statistical techniques so as to analyse big data and pick out possible trends/relationships amongst the little mess. one will be exposed to techniques such as decision tress, random forest, classification and Ridge/LASSO regression.
assessments?
assessments vary quite a bit from lecturer to lecturer. for mine, we were graded on 3 group assignments, midterms and finals.
my personal opinion?
i find this module very interesting though it can be really challenging now and then. the group assignments are relatively easy to understand but time taken can be disproportionate to the weightage of the assessment.. lol. of the 3 group assignments, one includes a Kaggle competition among your coursemates. i suggest one to start early on this. content is alright when it comes to understanding but applying can be rather challenging. the exams are challenging for sure.. do not feel too discouraged if you cannot do like half of the paper. practise tutorial questions and be really familiar with the style and methods used in preparation for the exams.
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.
Thursday, June 15, 2017
Sunday, June 11, 2017
7 days a week
yes this is an update of my life.
no, the title isn't stating the obvious, in fact it is suggesting the number of days i work for the month of June. yeah.. everyday. weekdays busy with internship while weekends busy with tuition. well, normally i would have my Sundays free but for only this month adjustments have been made to move the usual Tuesday night classes to Sunday mornings.
everyday i am waking up to an alarm clock. my great joy of waking up without one is gone for this month. no rest days also.. and no, reservist doesn't count as rest days like what many girls would think.
sometimes i amuse myself at how my mental energy can keep me going. okay, i'm still human.. i did break down couple weeks back by falling sick due to overwork and stress i guess. the office flu bug just accelerated the process. nonetheless, hope such things won't happen for a very long time.
next, i know i mentioned about the module reviews.. well i am still in midst of doing them up so please be patient. until next time then, cheers.
no, the title isn't stating the obvious, in fact it is suggesting the number of days i work for the month of June. yeah.. everyday. weekdays busy with internship while weekends busy with tuition. well, normally i would have my Sundays free but for only this month adjustments have been made to move the usual Tuesday night classes to Sunday mornings.
everyday i am waking up to an alarm clock. my great joy of waking up without one is gone for this month. no rest days also.. and no, reservist doesn't count as rest days like what many girls would think.
sometimes i amuse myself at how my mental energy can keep me going. okay, i'm still human.. i did break down couple weeks back by falling sick due to overwork and stress i guess. the office flu bug just accelerated the process. nonetheless, hope such things won't happen for a very long time.
next, i know i mentioned about the module reviews.. well i am still in midst of doing them up so please be patient. until next time then, cheers.
Friday, June 9, 2017
Thursday, June 8, 2017
usual summer update
yes this is an update of my life.
barely breathing in the weekdays with the amount of work. however, one thing that i am thankful is that the datasets i handle are not supposed to be brought out into personal laptop and what not. meaning, once outside office hours, if i do not have the office laptop on hand, i cannot do any work. useful way to ensure myself to work during my rest time.. something that i have a habit to do last year. mind says yes to working after office hours but body always says no.
still surviving.. just also hoping that i have another intern to spread the workload with me. my supervisor is busy enough. ohh wells, the intern pay is definitely not worth the workload but hell as an intern i rather a good experience.. something that i am having now. learning a lot everyday. only when i am going to be a full-time employee in about a year's time then will i care more of the pay. either way, the current intern pay is somewhat the norm pay. just workload above the norm.. haha.
so yeah it is June and in the summer. i realised i have yet to post the usual update on module reviews like i always do after every academic year. yeah i shall start this weekend and get them up as soon as possible. online reviews are limited so i feel obliged to add on some reviews to the world of the internet. after all, i myself rely on other people's reviews often too. until next time then, cheers.
barely breathing in the weekdays with the amount of work. however, one thing that i am thankful is that the datasets i handle are not supposed to be brought out into personal laptop and what not. meaning, once outside office hours, if i do not have the office laptop on hand, i cannot do any work. useful way to ensure myself to work during my rest time.. something that i have a habit to do last year. mind says yes to working after office hours but body always says no.
still surviving.. just also hoping that i have another intern to spread the workload with me. my supervisor is busy enough. ohh wells, the intern pay is definitely not worth the workload but hell as an intern i rather a good experience.. something that i am having now. learning a lot everyday. only when i am going to be a full-time employee in about a year's time then will i care more of the pay. either way, the current intern pay is somewhat the norm pay. just workload above the norm.. haha.
so yeah it is June and in the summer. i realised i have yet to post the usual update on module reviews like i always do after every academic year. yeah i shall start this weekend and get them up as soon as possible. online reviews are limited so i feel obliged to add on some reviews to the world of the internet. after all, i myself rely on other people's reviews often too. until next time then, cheers.
Wednesday, June 7, 2017
Tuesday, June 6, 2017
Sunday, June 4, 2017
Daliso
was really rooting for him to win but i guess comedian coming in 3rd isn't that bad as well. enjoyed his nice jokes.
Friday, June 2, 2017
middle
yes this is an update of my life.
so tired at the end of each week but it is a good tiredness i guess. like knowing i have put in whatever i have and trying my best for five days and ending the week knowing that i will be enjoying couple of rest days before heading out to fight the daily battles yet again.
time flies and it is June already.. somewhat in the middle of 2017. scary to see how fast time can go by even if one isn't exactly having fun all the time. nonetheless, as much as i dislike time moving too fast, i like that there isn't much regret i have so far. at least i know i am making full use of the time i have at hand.
results were out some time ago and ohh wells, what is done is done. next up will be year 4. finding mentor and what not.. new academic year new stress. then again i still have a couple months left to August. until next time then, cheers.
so tired at the end of each week but it is a good tiredness i guess. like knowing i have put in whatever i have and trying my best for five days and ending the week knowing that i will be enjoying couple of rest days before heading out to fight the daily battles yet again.
time flies and it is June already.. somewhat in the middle of 2017. scary to see how fast time can go by even if one isn't exactly having fun all the time. nonetheless, as much as i dislike time moving too fast, i like that there isn't much regret i have so far. at least i know i am making full use of the time i have at hand.
results were out some time ago and ohh wells, what is done is done. next up will be year 4. finding mentor and what not.. new academic year new stress. then again i still have a couple months left to August. until next time then, cheers.
Subscribe to:
Posts (Atom)