STARFISH SCHOOL 2022

A Virtual Bootcamp on Computing, Statistics, and Scholarship for Astronomy Graduate Students

David A. Dunlap Department for Astronomy & Astrophysics, University of Toronto
Dunlap Institute for Astronomy & Astrophysics, University of Toronto
Sidrat Research

The incoming graduate student virtual bootcamp will provide students the tools and techniques in computing, statistics, and scholarship that are rarely taught formally and/or systematically in an undergraduate setting. The primary goals of the bootcamp are:
  • Introduce the fundamentals of computing, research skills and practices, and coding for astronomical research
  • Introduce the fundamentals of descriptive statistics for astronomical research
  • Develop familiarity with the most commonly used tools, procedures, and packages within Python and R
  • Develop an efficient, systematic, and reproduceable coding and debugging workflow
  • Create a community of knowledge-sharing amongst the incoming graduate class
The five bootcamp sessions will be held in person Zoom during September 2022. The sessions will involve both instructor-led demonstrations and guided workbooks. The bootcamp will be strongly encouraged for all incoming grad students, as well as open to all upper year grad students.

Bootcamp Expectations

This will be an interactive course, and there will be interactive demos and problems that we intend to be completed collectively during the scheduled hours. We expect full participation of all attendees.
Schedule
  • FRIDAY, SEPTEMBER 9: SCRATCHING THE SURFACE
    • How to effectively use the NASA Abstract Data Service
    • How to access literature through the University of Toronto Library Services, how to handle copyright, and how to access Course Reserves
    • How to use LaTeX effectively for academic writing
    • How to develop best practices for literature reviews, and academic writing
    • Using the Command Line
  • WEDNESDAY, SEPTEMBER 14: FUNDAMENTALS OF CODING
    • The primary ways to work with Python and R
    • The fundamental concepts of coding
    • How to find, install, and use packages in Python and R
    • Examples of useful packages for astronomy in Python and R
  • FRIDAY, SEPTEMBER 16: CODING WORKFLOWS
    • How to use version control systems (Git/GitHub)
    • Best practices of version control and documentation (including Markdown)
  • FRIDAY, SEPTEMBER 23: PRACTICAL CODING AND STATISTICS IN ASTRONOMY
    • The basics of relational databases (SQL)
    • The fundamental steps of debugging
    • How to seek help effectively
    • Data Visualization techniques
  • FRIDAY, OCTOBER 7: STATISTICS AND EXPLORATORY DATA ANALYSIS
    • The fundamentals of descriptive statistics and distributions
    • How to work with optimization (modelling and fitting), interpolation, and smoothing algorithms in Python and R
Setup
The Setup Guide for the 2022 Starfish School (for Windows, MacOS, and Linux) is now available here:
Setup Document (Version 3.0)
Resources
Contact Information
The primary means of communication for the course will be through the Astro @ UofT Slack. If you are already a member, please join the #starfishschool channel.
Organizers: