AY2022/2023 Y4S1 Module Reviews
I have been putting this off for awhile and have been writing this over the span of a few weeks truthfully maybe even a month. I have no idea what is it in this semester but i get tired just from doing absolutely nothing. We already knew but the transition from work back to school wasnt easy at least for me couldnt remember some of the coding stuff i used to have at my fingertips. But i guess there was enough mods for me to practice them over so it didnt take too long for me to get back on my feet. Feels so surreal that its finally my last modreg season actually....
Without further ado the
Overview
LAJ2201 Japanese 2
GEH1016 Understanding Consumption
BT4103 Business Analytics Capstone Project
BT4212 Search Engine Optimization and Analytics
BT4222 Mining Web Data for Business Insights
LAJ2201 Japanese 2
Lecturer
Kitai S., Amazaki O.
Textbooks
Minna no Nihongo Shokyu 1 Main textbook Second Edition (SGD42.00)
Minna no Nihongo Shokyu 1 Translation & Grammatical Notes in English Second Edition (SGD33.00)
Minna no Nihongo Shokyu 1 Hyoojun Mondaishuu Second Edition (SGD18.00)
Minna no Nihongo Shokyu 1 Kanji Eigoban Kanji (English Edition) Second Edition (SGD32.00)
Prices are how the school vendor charges, if you can source cheaper ones outside feel free to get those instead! You will need Hyoujun Mondaishuu in physical copy so please get that at the very least.
Weightage
Term Test 1 Performance i dont know if im allowed to share this info tbh here goes nothign
Ave highest full mark
Kanji & Vocabulary 8.3 10 10
Grammar 1 Particles 5.9 8 8
Grammar 2 True or False 4.4 6 6
Grammar 3 Finding errors 2.5 6 6
Reading 7.6 10 10
Listening 7.5 11 12
Term Test 2 Components *performance not revealed
Kanji + Katakana Grammar 1 (particle) Grammar 2 (true/false) Grammar 3 (conjugation) *new Grammar 4 (finding error) Reading Listening
Review
honestly LAJ has been very exciting for me personally if not one of the most fun moments ive had in nus. sure 1 sem is barely enough for you to ground yourself in the fundamentals of a language and of course interest far supersedes any kind of effort u put in because it is not the hours u put into it that count, but rather the passive picking up of things as u go along. sounds cheesy as hell that is probably true. anyways laj has been nothign short of enjoyable despite the really tight timeline plus very consistent schedule of always being on the grind for submissions. the workload really IS a lot and its very time consuming so i have to think hard if i really want to take this next sem. honestly as someone whos been into this hellhole for awhile, learning it formally is still really different from anything ive been doing on my own (watchign etc).... like i didnt know i still have so much i dont know??? ok tbf i came in with no grammar knowledge other than the basic の and と that any seasoned otaku would know so i struggled Hard.. but i think the experience of learning with new friends really ive made eased it in so much for me... i love it.. 1000/10 would recommend if ur already into the culture idt u have anything to lose?? idt i did well throughout tbh as in weekly quizes ive got a lot of 6/10s but on days where i studied 30 mins before the class i get 9/10 so do what u got to do ig. my term test perf wasnt very good either so im not getting my hopes up despite me taking this module with the intentions to bring my gpa up.
for the drill every week theres 1 lecture, 2 tutorials. the lecture goes through one chapter of the minna textbook which includes both a set of vocabulary and some grammar rules. for tut A u got to hand in the kanji homework and theres a vocab quiz too in class that u need to prep before hand. tut A also goes through renshuu C-1 and C-2 dialogues usually. And every sun there are prep quizes for both vocab and kanji due, this preps u for the in class quiz can retake as many times to perfect ur score. for tut B u got to hand in the hyoujun mondaishuu (physical) for the previous weeks lecture and they go through more speech patterns covered in renshuu C-3 usually. Renshuu C is where u find the dialogues that you will need again for the oral interview basically memory work. Oral interview pairs u with a classmate and u guys take turns to talk, what is tested is the same as renshuu C just under different context/setting. sometimes theres additional hw to submit for shadowing (recording urself repeating the dialogue right after a recorded dialogue), writing (short compo) and reading (comprehension). When its nearing term tests, u will get a listening quiz the week before tt iirc the stuff are said only ONCE so if u zone out then byebye. The term test itself also has a listening component which is basically the same drill again for god knows why. other than that we had this online exchange session pretty fun with other jp uni students zoom n chat kind of thing then a presentation on ur exchange in w13. Pretty fun time passes too fast in laj honestly it made my week go by too fast (spend too much time doing jp).
GEH1016 Understanding Consumption
Professor Dr. Hendrik M.
Weightage
Content
Introduction - Thinking about Consumption
Geographies of Consumption
Consumption in History
Economics and Consumption
Business and Consumption
Psychology and Consumption
Society and Consumption
Cultures of Consumption
Politics and Consumption
Ethics of Consumption
Environment and Consumption
Internet and Consumption and Conclusions
Conclusions
Review
Took this as a ue just for the sake of a ue.. i saw the reviews saying its essay based sparks flew jk i think its like any other ge tbh the lectures go through consumption as viewed from the various disciplines, assumptions et cetera et cetera its like a content kind of mod? i skipped most of the later half of the lectures because my schedule was really so bad i needed more time for my other mods priorities right and i didnt do any of the readings theres just too much and im not that much of a reader i know.. attention span lasts for at msot 5s and these readings are like 30 pages on average long some weeks theres 2 readings i simply cant wiht the reading.. other than that u kind of just need to know what they are covering in the lectures so i should be safe..crossing my fingers.... tutorial wise its kind of seminar style? the tutor is able to talk a lot out of nothing sometimes which amazes me...its very nothing module idh a better word low effort ish? just sometimes we need to present and stuff in our groups for the tutorials and the final presentation on our location of research and findings..class part alright... essay is some reflection paper on what has been taught i think it wsa week 4/5 ish then group project is any location of your choice to study on the different perspectives of consumption and a bit of research u come up with this academic paper (tutor is very niao about the citation style and stuff so please be careful) then the original written finals by some reason i dont rmb became a take home final essay which is better for me since more time (not really for me cause AFA LOL) anyways shitted out the paper a day before submissions and still alive so...
BT4103 Business Analytics Capstone Project
Professor Um S.Y., Hahn J.P.
Weightage
Individual Component Consultation Participation 25% Weekly logs 10% Group Component Presentations + Project deliverables 50% Client Satisfaction 15%
Note: The score for the teamwork component of your grade will be normalised based on your contribution to the team, which will be determined via a peer evaluation process and a client satisfaction survey at the mid/end of the semester
Schedule
Lectures for this mod only happened once during the start of the sem, on nusmods its a 3h long one but dw that only will occur just once. Following weeks will be a 30min consult that is set at the convenience of the group and the prof/TA can be held on another day as well really up to you. So at the start there was about 20 (?) projects on the portal they will brief you during that initial lecture and you can go in to look at the descriptions of the deliverables if it aligns with your groups interest. You bid for them by ranking the 20 projects and the assignment of groups to their projects is on fcfs basis (other than by rank) so please manage the time for bidding well if you want to get the project of your choice. Yeah and then you get to exchange contacts with your company etc to for an introduction of the expected work proper. After that you kind of really just liaise back and forth with your company on the submission, and every week the profs will check in with you on your progress, any doubts/challenges etc etc basically a slot to update on your work. There is a weekly log submission too due Fri 12pm where u outline your contributions in a doc to be submitted. Other than that for the presentations, there is an interim one nearing recess week and a final one in week 13. Interim was online/physical at your choice even though they did not make it very clear and finals is definitely physical with your project sponsors as well. Tip is to make sure u choose projects that you definitely have stuff to talk about.... if its too easy its a bit hard to make your project and value of work delivered look substantial enough....
BT4212 Search Engine Optimisation and Analytics
Professor Jin C.
Weightage
Class participation 5%
In-class quiz 5%
Homework assignments and group project 40%
Final exam 50%
Content
Keywords research, Google ranking algorithm updates, on-page/off-page SEO, randomized experiment design, A/B test, ranking algorithm, data mining and ml methods
Review
This actually is still a pretty interesting module even up till now but i especially rmb telling another friend how the content isnt dry like the other modules well till i was proven wrong with the experiment design flashbacks to ger1000 but overall i think its still pretty interesting the prof also is very engaging as in he talks in a way that captures your attention? or at the very least isnt very monotonous and he does put in the effort to come up with very relevant analogies amidst all the inevitably dry content Oh the reason why i was impressed was i actually finally understand?? the source material?? like snaps fingers enlightenment kind of thing???? hes actually really good at conveying the material without making it seem like the daunting insurmountable mountain... the first few weeks are fine though they ease u in wiht all the motivations behind efforts to improve seo ranking and the google ranking updates which are very interesting to learn about.. the ranking algo and ml parts are towards the end after week 7 and things start to get a bit haywire because its suddenly knee dip into matrices (after 3 years) and stuff solving eigenvectors (i thought we moved on from maths) </3 then towards the end the usual ml recap all over again this is good since most bt mods does a ml refresher over the models and stuff again so its a good recap or even does a good job introducing for those who are touchnig these for their first time.
The quizes kind of didnt happen until after week 7 iirc theres only 2 for our sem its a 5 mcq luminus quiz kind of thing and its all ctrl-f-able open book so try to get 5/5 for these. The homework assignments are also more congregated towards the second half of the sem so just manage your time well and expect these to take up some keyword some of your time. There are 4 of those in total, the first is a simple writeup pretty much no biggie then the remaining 3 are coding assignments but most of it u would have the pseudocode to do the same he explains it in lectures then u just kind of code it out the final one being more ml driven so if you’ve done ml before u wont struggle much anyway. Else can just google the source code its always p much the same plug and pull easy game. The finals though...........
(minute of silence)
its a written paper so u kind of sit down for 2h doing the problems for the final week (w13) the prof will go through finals questions from previous sems if u revised it then ur gtg u can expect about the same. But i didnt plan my time well plus confused by the requirements (choose all that apply for mcqs) and the answer fields being in a table of boxes from q1 to 20 do i really put e.g. a,b,c within one box for one question?? and the option d is a whole ‘all above’ really got me second guessing myself until idk anymore if i rmb correctly the format was 20 MCQs, 4 short answer questions (not really short but compared to the longer ones behind), 1 long ass question with many subparts that tests computation i.e. stats stuff and the matrices stuff
Anyways grades please be nice to me crying i lost too many marks because id dint have the time (for the first time if im being honest) Theres also one group project but no news from the prof until very late into the sem maybe week 8? 9? they had to finalise some sutff like if our blogs were indexed (most of it was not) so it became a project plan write up kind of thing how u plan to conduct the experiment to test out whether changing up some things affect the seo ranking instead of actually executing it out (profs original intention) might differ next sem tell me about it then
This is a sem 1 only mod and i think u should definitely take this up if the module title intrigues you because out of all the bt mods ive taken most barely even correspond to the module title T_T but this one surprisingly does a good job at it as for workload wise i think its pretty manageable just got to expect a little more than nothing in the later half of the sem
BT4222 Mining Web Data for Business Insights
Professor Wang Q.H.
Weightage
Assignment 1 (10%)
Quiz 1 (10%)
Assignment 2 (10%)
Project proposal submission and presentation (5%)
Assignment 3 (10%)
Quiz 2 (10%)
Project deliverables (40%)
Attendance class participation (5%)
Content
ML intro, web scraping, feature engineering, regularisation, NLP, classification methods, linear/logistic regression, bayesian learning/ svm, decision tree, ensemble learning and random forests, neural nets and deep learning, word embedding, convolutional neural net recurrent neural net and other DNN and explainability
Review
This is one of the more popular pes because it coincides for a few specs or sth im sure its also why i thought this should be one of the more useful ones granted it aligns for more than 1 spec.. Anyway what im saying is that most bza students would have taken this mod. And sure enough i think the prof this sem wang qh did a really good job covering this mod cant say the same for zhao yl for last sem.. u all really.. Anyways once again like many bt mods its a very ML focused one so u get to explore the various ML models if you like doing that. The prof also provide source codes so its very helpful when you need to refer in future and stuff. Nothing much to say ba its quite good theres class part so maybe half way through the lecture she will put up the attendance gforms then u fill it in on the spot usually during the break i.e. 1h 10m into the lecture (she sets alarm for this to make sure she doesnt go over v cute) Other than that theres 2 tests (quizzes) held on examplify usually max max 30 mcq but these mcq are tricky as hell sometimes with 5/6 options so really ganbare. For the assignments its coding based and also very structured with guidelines in the ipynb plus u got all the source code so no problem ba mb just 1/2 question will be q hard but other than that no biggie ive always been the last minute so maybe allocate about a week should be enough. Then theres also a project that you can work on throughout the sem, yes as you learn more ml models through the week the problem statement is really up to you and your group and how u want to achieve it also very open ended... (jsut like the BT4221 i took) except u already know theres this project at the start of the sem i.e. more time to work on it unlike bt4221....... just need to submit project proposal at the start of the sem then ur report findings, codes and stuff at the end with a presentation for proposal (cancelled for us due to no time) and a presentation in w13 (can be 1/2 person presenting for the group) there will be a lot fo groups presenting and then we have a gforms to rate their projects as part of the evaluation no finals for this (yay) bc she thinks the doing is more importatn (getting down to prep the data, actual model implementation basically the practical stuff compared to content content stuff (WHICH SHOULD BE THE WAY TO GOOO) very practically speaking all the theory is all google-able whether u can do it is something else entirely