Helpful Links
Resources on box
Visit the CISGradStudentGroup box repository to find resources compiled from our Professional Development Workshops; tutorials or information from various training institutes that our graduate students have attended; as well as anything else that may be useful to share with the CIS Grad Student Community.
Access using the links below and your UC Merced login and password
Quick'n'Dirty Statistics Resources
Tidyverse in R The tidyverse is an opinionated collection of R packages designed for data science. All packages share an underlying design philosophy, grammar, and data structures.
CRAN: The Comprehensive R Network
The ggplot2 Data Visualization Cheat Sheet
A Practical Guide to Mixed Models in R (created by Julia Pilowsky, Tufts University -"I created this guide so that students can learn about important statistical concepts while remaining firmly grounded in the programming required to use statistical tests on real data. I want this to be a guide students can keep open in one window while running R in another window, because it is directly relevant to their work.")
Quick'n'Dirty Modeling Resources
Computational Modeling in CogSci Computational modeling is one of the traditional pillars of cognitive science. Murphy (2011) has succinctly characterized one of the primary reasons for doing computational modeling, compared to verbal theorizing, as follows: “[It] requires the researcher to be explicit about a theory in a way that a verbal theory does not.”
PyCX The PyCX project aims to develop an online repository of simple, crude, yet easy-to-understand Python sample codes for dynamic complex systems modeling and simulation, including iterative maps, ordinary and partial differential equations, cellular automata, network analysis, dynamical networks, and agent-based models. You can run, read and modify any of its codes to learn the basics of complex systems modeling and simulation in Python.
Think Complexity Complexity science is an interdisciplinary field — at the intersection of mathematics, computer science and natural science — that focuses on complex systems, which are systems with many interacting components. One of the core tools of complexity science is discrete models, including networks and graphs, cellular automatons, and agent-based simulations. These tools are useful in the natural and social sciences, and sometimes in arts and humanities. For an overview of complexity science, see http://thinkcomplex.com/complex
Quick'n'Dirty Neuroscience Resources
Quick'n'Dirty Open Science & Philosophy Resources
This google site is meant to accompany the CIS program's official website, at cogsci.ucmerced.edu. Visit the official website to learn more about current students and faculty and for guidance regarding program requirements. We've tried to include up to date information and forms (i.e. for advancement to candidacy) on this CISGradStudentGroup google site (e.g. in our "What is an IR?!" section), but always keep in contact with your committee, UCM Graduate Division, or ask your fellow grad students if you need any help navigating the paperwork side of the PhD process.
Have a question? Find a broken link? What to add information to this site, or an event to the google calendar? Contact the CIS GradStudentGroup at ucm.cis.gradstudentgroup@gmail.com