Программирование в Python

Бакалавриат 2024/2025

Статус: Курс по выбору (Социология и социальная информатика)

Направление: 39.03.01. Социология

Кто читает: Департамент социологии

Где читается: Санкт-Петербургская школа социальных наук

Когда читается: 2-й курс, 1, 2 модуль

Формат изучения: без онлайн-курса

Охват аудитории: для своего кампуса

Преподаватели: Асланов Ильяс Васифович, Синявская Ядвига Эдуардовна

Язык: английский

Кредиты: 4

Full Syllabus Ask Question

Abstract

This course aims to build competencies in understanding and writing programming code in Python. It will cover the topics students need to successfully master the basic data types and syntax of Python.

Learning Objectives

To learn Python programming basics enough for understanding the code written by other people and run elementary Python programs.

Expected Learning Outcomes

Create variables, write the information into variables, call the variables
Correctly recognize Python data types and convert one into another if necessary.
Understand the program errors and fixing them
Use boolean data type, comparison operators, logical operators
Correctly write conditionals
Use loops to optimize repetitive actions, break the loop on condition
Distinguish between mutable and immutable data types
Run the operations on sets, meaningfully interpret the results.
Create a dictionary and add and call the information from it
Sort sequences, sort the dictionary values by keys.
Write customized functions
Open text files, create and write the information in the text files
Read the files, process and analyze the data
Working with string data type, string indexing and formatting.
Import and use the developed external functions

Course Contents

Introduction to Python. Installation, Interpreter, and IDE.
Data types. Data input and output. Output formatting. Arithmetic. Errors.
Conditionals. Boolean Logic. If-Statements. Sequences (lists, tuples, strings).
Loops. For-loops. While-loops. Nested data structures.
Collections (sets, dicts).
Functions and libraries. Writing functions. Global and local variables. Importing functions from libraries.
Working with files.
Solving tasks with Python. Intro to projects.
Tasks and projects: advanced tasks and group projects.

Assessment Elements

Final exam
Short quizzes
Short 10-min test to evaluate the progress on online course
Group project
The results of the defence of group project work
Independent in-class work
The results of student's work in class (under supervision of a lecturer)
Midterm test

Interim Assessment

2024/2025 2nd module
0.2 * Final exam + 0.3 * Group project + 0.2 * Independent in-class work + 0.2 * Midterm test + 0.1 * Short quizzes

Bibliography

Recommended Core Bibliography

Bill Lubanovic. (2019). Introducing Python : Modern Computing in Simple Packages. [N.p.]: O’Reilly Media. Retrieved from http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsebk&AN=2291494

Recommended Additional Bibliography

9781491912140 - Vanderplas, Jacob T. - Python Data Science Handbook : Essential Tools for Working with Data - 2016 - O'Reilly Media - https://search.ebscohost.com/login.aspx?direct=true&db=nlebk&AN=1425081 - nlebk - 1425081
Eric Matthes. (2019). Python Crash Course, 2nd Edition : A Hands-On, Project-Based Introduction to Programming: Vol. 2nd edition. No Starch Press.
Lutz, M. (2008). Learning Python (Vol. 3rd ed). Beijing: O’Reilly Media. Retrieved from http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsebk&AN=415392

Authors

Ильина Мария Ивановна
Aslanov Ilias Vasifovich

Course Syllabus