Today

• Course logistics
  • Go over syllabus
    • Instructor and TAs: contact information, office hours, etc.
    • Course description, objectives, prerequisites.
    • Course materials: textbook, software, etc.
    • Grading: homework, project, attendance, etc.
    • Course policies: academic integrity, accommodations, etc.
    • Schedule: topics, readings, homework, etc.
    • Course webpage: https://ucla-biostat-212a.github.io/2026winter/.
    • Slack channel: https://ucla.enterprise.slack.com/archives/C0A7SL6SVRB.
  • Zoom etiquette
  • Homework submission via BruinLearn
    • Include both the R Markdown and HTML files.
    • Make sure the RMD file can be rendered by the TAs.
• Overview of machine/statistical learning (ISL 2).

Announcement