Data Analysis and Artificial Intelligence Methods in Text Processing

2026/2027

Учебный год

ENG

Обучение ведется на английском языке

3

Кредиты

Кто читает:

Департамент больших данных и информационного поиска

Статус:

Курс по выбору

Когда читается:

3-й курс, 2, 3 модуль

Преподаватель

Чернова Стефания Вячеславовна

Course Syllabus

Abstract

The course provides students with a basic knowledge of statistics and data analysis techniques. The course consists of three parts. In the first part we will talk about general ideas of statistics and data analysis, mainly discussing descriptive statistics and basic data manipulations. In the second part of the course we will move towards inferential statistics and hypothesis testing. In the third part, we will apply machine learning techniques for data analysis. All the course practice will be conducted in Python. There are 3 credits for this course.

Learning Objectives

• Via this course, students will acquire a solid basis in data manipulation and visualization.

Expected Learning Outcomes

• After this session, students should be able to: - Apply numerical techniques for describing and summarizing data - Identify, compute, and interpret descriptive statistical summary measures - Differentiate between the measures of central tendency, dispersion, and relative standing

Course Contents

• Introduction
• Data Basics
• Graphical Descriptive Techniques
• Numerical Descriptive Techniques
• Data Collection and Sampling Theory
• Probability
• Analysis of Variance
• Regression Analysis
• Descriptive statistics: System of variables
• Descriptive statistics: Qualitative and Quantitative Data.

Assessment Elements

• Test
• Independent work
• Written test
• Class participation

Interim Assessment

• 2026/2027 3rd module
  MIN(8; 0.25 × Class participation + 0.25 × Independent Work + 0.25 × Tests + 0.25 × Written test)

Bibliography

Recommended Core Bibliography

• Elementary statistics : a step by step approach, Bluman, A. G., 2018

Recommended Additional Bibliography

• An Introduction to Statistical Learning, with Applications in Python, Gareth James, Daniela Witten, Trevor Hastie, Robert Tibshirani, Jonathan Taylor, Springer Nature Switzerland AG 2023, 978-3-031-38747-0, published: 30 June 2023

Authors

• Воронов Валентин Дмитриевич
• KARPOV MAKSIM EVGENEVICH