SF2930 Regression analysis

Matematik / Matematisk statistik / SF2930 Regression Analysis  


SF2930 Regression analysis 7.5 cr, spring 2019.

    Lecturer (examiner):
    Tatjana Pavlenko email
    Department of Mathematics
    Office: room 3628, Lindstedtsv. 25 (6th floor)
    Office phone: +46 8 790 8466

    Teaching assistant:
    Daniel Berglund email
    Department of Mathematics
    Office: room 3417 , Lindstedtsv. 25 (4th floor)
    Office phone: +46 8 790 7187
    Office hours:
General course information
On the following pages you can find general information regarding the course.
Examination
  • Computer projects (3.0 cr): there are two compulsory computer projects that are to be submitted as written reports. Each report should be written by a group of two (2) students.
    The computer projects will be graded with Pass/Fail.

  • The written exam (4.5 cr): the exam will be held on Tuesday 11th March 2019, 8.00-13.00. The exam (4.5 cr) consists of 6 problems, every problem counts for a total of 6 points. The preliminary score needed to pass the exam is 18.

  • Final grades for the whole course are set according to the quality of the written examination. Grades are given in the range A-F, where A is the best and F means failed. Fx means that you have the right to a complementary examination (to reach the grade E). The criteria for Fx is a grade F on the exam, and that an isolated part of the course can be identified where you have shown a particular lack of knowledge and that the examination after a complementary examination on this part can be given the grade E.
    Administrative matters
    All questions concerning registration for the course, registration for the exams and other administrative matters should be addressed to the student affairs office of the Department of Mathematics.

    The homepage for the student affairs office can be reached via the following links:

    Swedish
    English

    Students with disabilities: Please contact KTH FUNKA to inquire about any support you may need during the exam.
    • Help with R

    To Mathematical Statistics
    To Mathematical Statistics Courses
    Published by: Tatjana Pavlenko
    Uppdated: 18/12-2018