Информационные системы

Бакалавриат 2022/2023

Лучший по критерию «Новизна полученных знаний»

Статус: Курс обязательный (Социология и социальная информатика)

Направление: 39.03.01. Социология

Кто читает: Департамент социологии

Где читается: Санкт-Петербургская школа социальных наук

Когда читается: 1-й курс, 1, 2 модуль

Формат изучения: без онлайн-курса

Охват аудитории: для своего кампуса

Преподаватели: Зубарев Никита Сергеевич

Язык: английский

Кредиты: 8

Контактные часы: 64

Full Syllabus

Abstract

The course covers theoretical and practical basics of working with quantitative data in the social sciences. We will start with the foundations of interacting with Excel, namely spreadsheet structure and basic formulas. During more advanced sessions we will study logic functions, pivot tables, and text data. A significant part of the course will be devoted to the programming language R. We will study different types and classes of objects within R as well as math and logical operators. Data subsetting in base R will be complemented by data manipulation and aggregation with tidyverse. The course will also introduce students to data visualisation with ggplot2 and tidyverse packages. Our last meetings will focus on a brief overview of several advanced R packages.

Learning Objectives

Explain the place of a person in the Information System
Introduce students to the data analysis tools such as Excel and R
Understand how the concept of Information Systems can be applied to social sciences

Expected Learning Outcomes

Able to run basic functions in Excel
Able to use Latex for making a presentation or short report
Know basic principles of programming in the framework of working with R

Course Contents

Introduction to Information Systems:
Introduction to Excel and Word / Latex:
Advanced analysis in Excel:
Introduction to R & Rstudio:
Data manipulation using Rstudio:

Assessment Elements

Data aggregation and visualization in R (Midterm 3)
Basics of R (Midterm 2)
Seminar Preparation and Activity
Weekly homeworks
Excel + Word / Latex (Midterm 1)
First homework consists of two tasks. Via the first one, students are supposed to demonstrate basic skills of manipulating data and answering research questions (10 questions) with the help of Microsoft Excel. Second one is oriented on creation of basic reports in Microsoft Word / Latex.
Report based on given data

Interim Assessment

2022/2023 2nd module
0.1 * Excel + Word / Latex (Midterm 1) + 0.15 * Basics of R (Midterm 2) + 0.15 * Seminar Preparation and Activity + 0.25 * Report based on given data + 0.2 * Data aggregation and visualization in R (Midterm 3) + 0.15 * Weekly homeworks
2023/2024 3rd module
-

Bibliography

Recommended Core Bibliography

Field, A. V. (DE-588)128714581, (DE-627)378310763, (DE-576)186310501, aut. (2012). Discovering statistics using R Andy Field, Jeremy Miles, Zoë Field.
Роберт, И. R в действии. Анализ и визуализация данных в программе R : руководство / И. Роберт, Кабаков , перевод с английского Полины А. Волковой. — Москва : ДМК Пресс, 2014. — 588 с. — ISBN 978-5-97060-077-1. — Текст : электронный // Лань : электронно-библиотечная система. — URL: https://e.lanbook.com/book/58703 (дата обращения: 00.00.0000). — Режим доступа: для авториз. пользователей.

Recommended Additional Bibliography

Wickham, H., & Grolemund, G. (2016). R for Data Science : Import, Tidy, Transform, Visualize, and Model Data (Vol. First edition). Sebastopol, CA: Reilly - O’Reilly Media. Retrieved from http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsebk&AN=1440131

Course Syllabus