Введение в программирование на языке Python

Магистратура 2022/2023

Статус: Курс по выбору (Сравнительные социальные исследования / Comparative Social Research)

Направление: 39.04.01. Социология

Кто читает: Департамент социологии

Где читается: Факультет социальных наук

Когда читается: 2-й курс, 1 модуль

Формат изучения: с онлайн-курсом

Онлайн-часы: 16

Охват аудитории: для всех кампусов НИУ ВШЭ

Преподаватели: Митрофанова Екатерина Сергеевна

Прогр. обучения: Сравнительные социальные исследования

Язык: английский

Кредиты: 4

Контактные часы: 6

Full Syllabus

Abstract

The readings, quizzes, and coding challenges will contribute to the "Review Quizzes" part of the course. Website https://stepik.org/course/84164/promo

Learning Objectives

To get familiar with Python

Expected Learning Outcomes

Know the Basics of Numbers and Variables
Can Use Functions
Can Apply a Datatype for Text
Can Work with Errors when Mixing Datatypes
Can Work with Defining Functions and Floating-Point Numbers

Course Contents

The Basics of Numbers and Variables
Using Functions
A Datatype for Text
Errors when Mixing Datatypes
Defining Functions. Floating-Point Numbers

Assessment Elements

Test
Quiz

Interim Assessment

2022/2023 1st module
According to the information at the website

Bibliography

Recommended Core Bibliography

A Tutorial on Machine Learning and Data Science Tools with Python. (2017). Retrieved from http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsbas&AN=edsbas.E5F82B62
Landau, R. H., Bordeianu, C. C., & Páez Mejía, M. J. (2007). Computational Physics : Problem Solving with Python (Vol. Second revised and enlarged edition). Weinheim: Wiley-VCH. Retrieved from http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsebk&AN=1016329
Programming Python : [covers Python 2.5], Lutz, M., 2006
Rubio, D. (2017). Beginning Django : Web Application Development and Deployment with Python. [Berkeley, CA]: Apress. Retrieved from http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsebk&AN=1623501

Recommended Additional Bibliography

Derivatives analytics with Python : data analysis, models, simulation, calibration and hedging, Hilpisch, Y. J., 2015
H, S. (2013). A Byte of Python. Place of publication not identified: H, Swaroop. Retrieved from http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsotl&AN=edsotl.OTLid0000581
Learning Python : [covers Python 2.5], Lutz, M., 2008

Authors

MITROFANOVA EKATERINA SERGEEVNA

Course Syllabus