Finally, after many many days of suffering sleeplessness, I finished my Masters of Computing in NUS. It seems not really helpful except that I find out that I am not good at learning theoretical stuff. I prefer solving concrete problems. Luckily I wasn’t doing a Phd, otherwise I will die on the way to accomplish it.
I took an hour to finish the book describing Johnny Bunko, and began to wonder how to apply the following six rules:
- There is no plan.
- Think strengths, not weaknesses.
- It’s not about you.
- Persistence trumps talents.
- Make excellent mistakes.
- Leave an imprint.
I am a front-end developer with 6 years working experience, and this professional is fading fast. Recent graduates are plentiful and far cheaper. I can’t be like this for the next 6 years without achieving significant improvements.
It’s about theory in machine learning. I screwed this course in B grade.
I don’t have the mind for mathematical induction and lost my memory of probability knowledge.
This is a very new course, and the flow of the content is quite categorised from the text book, cut from somewhere and another. There are just too much content to learn.
One lab, three take-home assignments, and one big project in group of at most two.
Prepare for hard-core math theories if you want.
There are two same modules in IS5152, I took the one from MComp. The course is more like a machine learning course in the sense of doing practical math problems, such as maximise utility functions, making optimised decisions (Operational Engineering). And there will be 5 questions in the final exam.
Two group-take-home assignments plus one final project in any selected research area related to decision making or machine learning.
There are many past year papers, and good math is necessary to ace it.
This is the core module from IS specialisation. Just some readings on IT security policies. Good to grab a basic understanding of IT security policies.
It means for CSO, but who’s hell being a CSO to take a master here? Well, it prepares you to be one. Maybe.
Simple yet just readings and writings. 2 lengthy reports of re-writing the same draft policy paper, 2 small case studies, and 1 final open book test.
I took this course from Department of Geography just for working interest. It’s a quite simple and elementary course on mostly using ArcGIS/ArcMap as a tool to perform GIS analysis.
To perform well, you need to write an impressive report (50%) related to GIS. There are 4 labs in total, which most people can get 35-38 marks out of 40.
I regretted to learn things I already knew.
ArcGIS Framework Solution
Open Source GIS Solution Framework
Please view at Oak tree.
I have seen a very typical example company: Li Ning Sports.
During the peak, that’s pre-2008 China Beijing Olympics.
The company went to crazy in expanding to sell sporting products.
Indeed, it once became the domestic No.1. compared to Anta, 361 (ex. Adidas, Nike).
It just grew too greedy with cheap credit.
However, as soon as the economy cooled down, it dipped to hell.
Also, another impact came from the e-commerce.
When shit happens, everything becomes shit.