An explainer targeted at students and researchers in linguistics (syntax, specifically) for fine-grained control of arrows in syntax diagrams (both trees and linear structures). Written for students in Linguistics and Cognitive Science at the Claremont Colleges but likely useful for others as well.
The Art, Science, and Engineering of Programming is a new journal created with the goal of placing the wonderful art of programming in the map of scholarly works. Many academic journals and conferences exist that publish research related to programming, starting with programming languages, software engineering, and expanding to the whole Computer Science field. Yet, many of us feel that, as the field of Computer Science expanded, programming, in itself, has been neglected to a secondary role not worthy of scholarly attention. That is a serious gap, as much of the progress in Computer Science lies on the basis of computer programs, the people who write them, and the concepts and tools available to them to express computational tasks.
The Art, Science, and Engineering of Programming aims at closing this gap by focusing primarily on programming: the art itself (programming styles, pearls, models, languages), the emerging science of understanding what works and what doesn’t work in general and in specific contexts, as well as more established engineering and mathematical perspectives.
This is an example of and a guide to writing articles for The Art, Science, and Engineering of Programming.
This is a LaTeX template for class homework assignments. It demonstrates numbered questions with multiple parts and creating lines for students to use when writing their answers.
This template was originally published on ShareLaTeX and subsequently moved to Overleaf in October 2019.
In this note, we will show how transformations can be used to obtain a radically simple derivation of the equation of the line of best fit. Our approach also gives a simple geometric interpretation of the Pearson correlation coefficient.