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 and examination
Course plan, with scheduled lectures and exercise sessions. The TimeEdit schedule is here (alternative public link)
Lectures content and reading instructions
Lecture slides and other material
Exercise sessions
Project work

Contact information

Lecturer

Alessandro Mastrototaro, PhD in applied and computational mathematics, specialization in mathematical statistics. email, website

Teaching assistants

Isaac Ren, doctoral student in topological data analysis: email, website

Hanqing Xiang, doctoral student in applied and computational mathematics: email , website

Guest lecturers

Ingrid Torstensson, Analyst at If Insurance: email, linkedin
Oscar Potts, Data Scientist at If Insurance: email

Questions concerning registration for the course, registration for exams, and other administrative matters should be addressed to the Student Office Mathematics (studentoffice@math.kth.se).

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.