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Welcome to Stats 115 - Introduction to Bayesian Data Analysis.

For anyone interested, in an earlier version of this course you can take a look at the course website from Summer II 2021. The older link may not be useful for students currently enrolled in the course. It is shared mainly for instructors and learners elsewhere.

Basic Bayesian concepts and methods with emphasis on data analysis. Special emphasis on specification of prior distributions. Includes linear, logistic, and Poisson regression. Analyses are performed using Stan with rstan package in R.
Prerequisite: STATS 120C
Recommended STATS 110
Concurrent with STATS 203

Course Goals

By the end of this course you will be able to:

Typical Week workflow

when instruction is remote. Note that this workflow will be updated if the university switches to in-person instruction.

  • Monday 9:30 am

    Weekly course content and assignments are released on this website under Schedule.

  • Monday 9:30 am

    Previous week's homework is due.

  • Monday 9:30 am - Wednesday 9:30 am

    Watch lecture videos.

  • Monday 11 am - 12 pm

    Prof. Dogucu holds office hours.

  • Wednesday 11:00 - 11:50 am

    Attend discussion

  • Wednesday 11:59 pm

    Weekly quizzes are due.

  • Friday 3 - 4 pm

    Prof. Dogucu holds office hours.

Important Dates

Midterm Exam Feb 9, 09:30 - 10:50 am

Final Exam due Mar 16, 8:00 - 10:00 am