Welcome to SF2930!

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 Links to an external site. (alternative public link Links to an external site.)
• 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 Links to an external site.

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 Links to an external site.

Guest lecturers

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

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.