Master 2025/2026

Applied Linear Models

Type: Compulsory course (Data Analytics and Social Statistics)

Delivered by: International Laboratory for Applied Network Research

When: 1 year, 2, 3 module

Online hours: 52

Open to: students of one campus

Instructors: Irina Pavlova

Language: English

Course Syllabus

Abstract

The objective of the discipline "Applied Linear Models" is to ensure that students understand topics and principles of applied linear models and includes two parts. The first part is devoted to practical regression analysis introducing basic concepts and providing basic knowledge of regression models building and analysis with SAS. The second part covers theoretical foundations of linear models providing more advanced concepts, considering diversity of regression types, including model selection process both with SAS and R. The course is strongly related and complementary to other compulsory courses provided in the first year of the master's programme and sets a crucial prerequisite for later courses and research projects as well as for the master thesis.