Courses for Exchange Students (ECTS) 2018/2019


Case Studies in Mathematical Statistics

Spring week 14 (2019) - 23 (2019) Appl.code: 51110
Part-time, daytime class

ECTS credits: 7.5

Level of education: First Cycle (undergraduate level)

Level: G2F

Prerequisites: Foundations of Analysis, 7,5 Credits, Abstract Algebra, 7,5 Credits, Statistics, Statistical Theory, Intermediate Course, 15 Credits. Statistics, Time Series Analysis and Forecasting, Intermediate Course, 7,5 Credits, Statistics, Econometrics, Intermediate Course, 7,5 Credits.

Content: During the course some of the most important articles in mathematical statistics will be treated in depth with a short historical background. Additionally a few recent research results will be presented through invited speakers or recently published articles.

Teaching Methods: Seminars.

Assessment: Seminars and home assignments.

Course Coordinator: Niklas Eriksen

Course Syllabus: Spring 2019

School: School of Science and Technology