Bayesian Data Analysis course - Aalto 2023

Aalto 2023 course can be taken online except for the final project presentation. The lectures will be given on campus, but recorded and the recording will be made available online after the lecture. If you are unable to register for the course at the moment in the Sisu, there is no need to email the lecturer. You can start taking the course and register before the end of the course. Sisu shows rooms on campus for the computer exercises, and you can come to ask questions on campus, but you can also ask in Zulip during the same times. You can choose which TA session to join each week separately, without a need to register for those sessions.

• MyCourses is used for initial announcements, linking to Zulip, peergrade, and some questionnaires.
• Most of the communication happens in the course chat (see below)
• Aalto University Code of Academic Integrity and Handling Violations Thereof
• Use of AI is allowed on the course, but the most of the work needs to be made by the student, and you need to report whether you used AI and in which way you used them (See points 5 and 6 in Aalto guidelines for use of AI in teaching). We have tested some AI on the course topics and assignments and the output can be copy of existing text without attribution (ie plagiarism), vague or have mistakes, so you need to be careful when using such outputs.

All the course material is available in a git repo (and these pages are for easier navigation). All the material can be used in other courses. Text and videos licensed under CC-BY-NC 4.0. Code licensed under BSD-3.

The material will be updated during the course. Exercise instructions and slides will be updated at latest on Monday of the corresponding week. The updated material will appear on the web pages, or you can clone the repo and pull before checking new material. If you don’t want to learn git, you can download the latest zip file.

Book: BDA3