Master 2025/2026

Unstructured Data Analysis

Type: Elective course (Data Analytics and Social Statistics)

Delivered by: International Laboratory for Applied Network Research

When: 2 year, 1, 2 module

Open to: students of one campus

Language: English

Course Syllabus

Abstract

This course focuses on applied methods and existing tools for information retrieval: web scrap-ing, data preprocessing, natural language processing. All methods considered in this course require basic knowledge of discrete mathematics and probabilistic theory. For instance, most NLP and IR methods use conditional probability. In this course, we show the implementation of contemporary approaches in existing software packages (preferably in the python frameworks), and demonstrate how these methods can be used for the solution of some real-world problems.