Master 2023/2024

Data Mining

Type: Compulsory course

Area of studies: Applied Mathematics and Informatics

Delivered by: International laboratory for Applied Network Research

Where: Faculty of Social Sciences

When: 1 year, 3 module

Mode of studies: offline

Open to: students of one campus

Instructors: Ilia Karpov

Master’s programme: Applied Statistics with Network Analysis

Language: English

ECTS credits: 3

Contact hours: 40

Course Syllabus

Abstract

Covers topics in data mining, including visualization techniques, elements of machine learning theory, classification and regression trees, Generalized Linear Models, Spline approach, and other related topics.