Welcome to the course SF2930 Regression analysis!

We are honoured to welcome you to SF2930 Regression Analysis. During this course you will learn about effective and widely used methods of data analysis (data science) and theories of statistical learning.

Remember that you must have registered to maintain access to your courses after the web registration period.

We hope that you, by the end of this course, will have developed essential skills for your future education as well as for life.

Course content

Syllabus
Course plan, with scheduled lectures and exercise sessions. The TimeEdit schedule is here (alternative public link)
Lecture Slides, Exam Questions and Other Material
Exercise sessions
Project work

Contact information

Lecturer

Timo Koski, Professor emeritus of mathematical statistics (KTH), Research Director emeritus (HIIT): mail tjtkoski@kth.se, website, linkedin

Teaching assistants

Isaac Ren, doctoral student in topological data analysis: website

Giulia Pucci, doctoral student in applied mathematics, focus in stochastic control theory: website, linkedin

Guest lecturers

Mattias Villani, Professor at the Dep. of Statistics, Stockholm University: website
Ingrid Torstensson, Analyst & Actuary at If Insurance: email, linkedin
Lovisa Julin, Property Analyst at If Insurance: email, linkedin
Oscar Johansson, Data Scientist at If Insurance: email, linkedin

In the Syllabus, you can find a course summary and links to the Course PM.

Information and assignments

You find published information about the course, and published course content, in Modules.

Under Assignments, you will find all submissions that are due during the course. Note that you might find assignments in the modules; it's the same assignment, just linked to from the module.

Grades

You can find your grades on submitted assignments and exams under Grades.

Communication and groups

You can find all announcements posted via Announcements.

Under the People tab, you can find the groups you are a part of in this course.