Section: Master of Science in Computer Science
Welcome to Advanced Applied Stats & Multivariate Calculus

We will teach you stats using a learning-by-doing approach.
Classes will use a combination of discussion groups, exercises, seminars, lectures, feedback sessions and much more.

COVID-19 🦠

We have all been planing for the future, but the future came faster than
expected. Due to the current pandemic we will need to take some extra
precautions. This means all teaching events will be online (you can find the links below).

Good ideas 💡

No one is born as a statistician, and learning statistics can be hard - especially during COVID. That's why forming an (online) community will be critical for this course. We recommend you to collaboratively take notes (e.g. using Google Drive), establish back-channels for communications (talk.itu.dk, discord, slack, teams, ...), and create a space where you can meet, hang-out, and discuss things other than uni-work.

During exercises and discussion sessions we will make heavy use of wonder.me. This is the link to our common space --> https://www.wonder.me/r?id=9cb2d032-59d6-473c-a402-7b822df5b3b7 it will be always open and you can use it to hang out.

Giving us feedback & calling us out

If you at any time feel:
 - there is something we can improve
 - something we said/did made you feel uncomfortable
 - something happened which you think we need to address in class
Please let us know!

You can always write to Vedran (vsek@itu.dk) or use this form 👉 https://forms.gle/Cxgjwknep3vGhBHw8 to give us anonymous feedback

Syllabus & Books
No single book covers the entire syllabus of the course, as such the course will use excerpts from multiple books & articles. Therefore you will not need to buy a course book.
Nonetheless, a good book to have is The Elements of Statistical Learning by Hastie, Tibshirani and Friedman. You can download a free copy here.

Section: Master of Science in Computer Science
Section: Master of Science in Computer Science
Section: Master of Science in Computer Science
Section: Master of Science in Computer Science
Section: Master of Science in Computer Science
Section: Master of Science in Computer Science
Section: Master of Science in Computer Science
Section: Master of Science in Computer Science
Section: Master of Science in Computer Science
This course is a co-taught course, please see the primary course.
Section: Master of Science in Computer Science
Section: Master of Science in Computer Science
Section: Master of Science in Computer Science
Section: Master of Science in Computer Science
Section: Master of Science in Computer Science
Section: Master of Science in Computer Science
Section: Master of Science in Computer Science