About Me

    Early 2021, after my first lecture with Dr Adam Piggott on discrete mathematical models. With no offence, I asked this question to him “What will take for a three-year-old to understand this course?”

 

 “If you can’t explain it simply, you don’t understand it well enough."

                                                                        - quote Albert Einstein

 

    This idea come to me because, I got a three-year-old daughter at the time, and sometimes with no babysitter, I take her to uni with me. And that's when I found out you can explain higher education level knowledge to three-year-olds with the correct method, it's been approved. Second, I didn’t attend school every day during my high school period, and I missed a lot of my math classes. So, I struggled a little bit doing a postgraduate mathematical course at university, there are some missing links in the puzzle, and I am not sure how to find them.

 

    My solution to this is a tree-like organized knowledge system. Since my background is in IT, tree shape relationship is familiar to me, it is able to show a predecessor-successor relationship (e.g. father and daughter). The knowledge that came first is the predecessor or father (e.g. addition 2+2+2 = 6), and the knowledge that came after is the successor or daughter (e.g. multiplication 2 x 3 = 6). That is, we first developed skills in counting, and then addition and multiplication came after.

 

    Life isn't merry all the time, sometimes you may have a sick day during high school, and you can miss some information, and don’t release a simple equation that can be important to you after a very long period of time.

 

    In my case, when I have a new idea for an innovation every couple of days, for example, I need to understand Nephology for my atmospheric water harvesting (AWH) idea. I know what to look for, but I don’t know what I didn’t look for – how can I make sure not to miss anything? That is because of not having an organised system, a whole picture in the Nephology knowledge system.

 

    Knowledge Library is focusing on those issues, it’s like Wikipedia, but with a clear dependency relationship between each knowledge point. It also uses a knowledge breakdown (KBD) method to fragmentize big chunks of high-level knowledge into smaller size, simpler, and easier-to-understand knowledge.

 

    I sincerely hope the next time you heard children talk about becoming rocket scientists, Knowledge Library will be the place you can tell them where to find a clear path to it.