This page houses a bunch of resources and information about getting involved in undegraduate cognitive science research at UC Berkeley collected by the CSSA. The UC Berkeley cog sci program page here contains further details including information about the cognitive science honors thesis. Here are some of the resources the CSSA has to offer:
If you ever have any questions about research feel free to come talk to us at meetings or office hours! The CSSA also puts on several research-related events including Undergraduate Research Night.
The CSSA also holds a poster session at its annual conference where undergraduates can both submit abstracts in order to present their own research or can attend and see the work of other undergraduates and graduate students.
Pictures from the poster session at the 2015 CCSC
The Undergraduate Research Apprentice Program (URAP) is Berkeley's main interface for connecting undergraduates to RA positions in labs. Certain professors will list open projects in their labs on the program website and students can apply for the position through the website.
The Summer Undergraduate Research Fellowship (SURF) funds undergraduate students to do research for the summer in preparation for an honors thesis. Applications are due in late February or early March depending on your type of project.
A similar program to SURF that provides funding for selected seniors to do research over the summer and over their senior year in preparation for a honors thesis. Applications are due late February.
This is a link to the cognitive science major page on the honors thesis. The honors thesis is usually completed in one or two semesters during your senior year.
Berkeley's official page for everything undergraduate research. It has all the upcoming events including program deadlines and helpful workshops. They have a listserv you can subscribe to as well as a search interface to look through research opportunities.
Resources for python programming for cognitive science research created by Jessica Hamrick, a graduate student in Tom Griffith's lab. The above links to a static view of the material. You can download the interactive ipython notebook file here.