Mostrando las entradas con la etiqueta studygger. Mostrar todas las entradas
Mostrando las entradas con la etiqueta studygger. Mostrar todas las entradas

sábado, 13 de junio de 2015

Day 4/10 study challenge

Day 4.- Make 10 flashcards for a subject of your choice

I know I'm awful, I just made 5 flashcards and I took bad pictures. I'm awful, I know!



miércoles, 10 de junio de 2015

Day 3/10 study challenge

Day 3.- Teach us a concept you've learnt this month that you found boring, but do it in a creative way. Songs, drawings, dance, whatever.


There's no way I can teach this concept in a creative way because I just hate it. The Gauss-Jordan/Gaussian elimination in Linear Algebra.




In linear algebra, Gaussian elimination (also known as row reduction) is an algorithm for solving systems of linear equations. It is usually understood as a sequence of operations performed on the associated matrix of coefficients. This method can also be used to find the rank of a matrix, to calculate the determinant of a matrix, and to calculate the inverse of an invertible square matrix. 

This method is named after Carl Friedrich Gauss but we never know, it was known to Chinese mathematicians as early as 179 CE

Thanks a lot

domingo, 7 de junio de 2015

Day 2/10 study challenge

Day 2.- Teach us a concept you've learned this month that you find interesting


I’ve been working with least squares since last trimester in the laboratory and I find it extremely interesting


The method of least squares is a standard approach in regression analysis to the approximate solution of overdetermined systems, i.e., sets of equations in which there are more equations than unknowns. “Least squares” means that the overall solution minimizes the sum of the squares of the errors made in the results of every single equation.
The most important application is in data fitting. The best fit in the least-squares sense minimizes the sum of squared residuals, a residual being the difference between an observed value and the fitted value provided by a model. When the problem has substantial uncertainties in the independent variable (the x variable), then simple regression and least squares methods have problems; in such cases, the methodology required for fitting errors-in-variables models may be considered instead of that for least squares.

sábado, 6 de junio de 2015

Day 1/10 study challenge

Day 1.- Clean up and photograph your study space to share with us.



This is my study space (most of the time) and I think I’d change it if I could, since I live in a building I don’t really have a nice view by the window which is good and bad at the same time (good because I don’t get distracted by the environment, bad because the view really sucks).


I usually clean my desk one or two time at month, I know I should do it more often, I'm trying, since I use this desk a lot it's always messy.
Clean desk
I keep my stationery in my bookshelf so when I'm on my desk I need to bring everything. Fun story is that I have another desk, much prettier because it's made of glass and I love it, but I don't use it because there isn't enough space in my room for it.


Laboratory notes
I know I have a problem when it comes to stationery (I don't know if anyone actually cares but if you do then I'll do a post about it) and I have a good amount of supplies, I want more though
Mess

Stationary

Steadtler fineliners ♥

viernes, 5 de junio de 2015

10 day study challenge

As you may (or may not) know I'm attending college. I need to inspire myself in order to keep studying so I decided to make a easy and quick study challenge, it isn't too long, just 10 days and I'll be starting tomorrow and this will go on until june 15th.

I hope you find it interesting and it'd be nice if you try it, doesn't matter if you're not in college nor studying :)
A sense of despair © 2014