Welcome to SF2930 Regression Analysis!
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 Links to an external site. (alternative public link Links to an external site.)
- 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 Links to an external site.
- 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.