Great findings in science are made on the edge of different fields. I hope my blog post can be of a small help to anyone who are interested yet struggling in mathematical methods for engineering.
When I was an undergraduate student, the so-called ENGRMATH course was notorious for being hard. I also barely passed it. Looking back on it, the methods that you learn in ENGRMATH has a fitting purpose and there definitely exists myriads of reason why it needs to be essential in Engineering. In this series, we will delve into whys of ENGRMATH.
Simply put, the biggest why that encompasses the whole list of reasons (that is about to come) is to model physical problems that are dynamic. Regardless of which field of study you work on, whether it is mechanical, electric, chemical, biology, life science, the concepts and methods that you will learn within this series is essential to build a mathematical model that can describe the physical phenomena. This process of turning observation into quantifiable math is called modeling process.
I will include my personal experience and importance of each methods with specific examples and anecdotes throughout my post series. You can skip through the anecdotes since they can be merely my personal history that might be useful for someone who struggled just like me.
The series will be a bi-weekly post starting from ODE - PDE - Linear Algebra - Optimization - Probability.
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