Information Systems

2023/2024

Учебный год

ENG

Обучение ведется на английском языке

8

Кредиты

Кто читает:

Департамент социологии

Статус:

Курс по выбору

Когда читается:

1-й курс, 1, 2 модуль

Преподаватель

Зубарев Никита Сергеевич

Course Syllabus

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, as well as to prepare for an Data culture independent exam on programming (basic level).

Learning Objectives

• To learn Python programming basics enough for understanding the code written be other people and run own 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
• Working with strings data type, string indexing and formatting.
• 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.
• Import and use the developped external functions
• Write customized functions
• Open text files, create and write the information in the text files
• Read the files, process and analyze the data

Course Contents

• Course content
• Topic 2
• Topic 3
• Topic 4.
• Topic 5.
• Topic 6.
• Topic 7.
• Topic 8.

Assessment Elements

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

Interim Assessment

• 2023/2024 2nd module
  0.2 * Group project + 0.2 * Midterm test + 0.2 * Final exam + 0.3 * Independent in-class work + 0.1 * Short quizzes
• 2024/2025 3rd module
  1 * 2023/2024 2nd module

Bibliography

Recommended Core Bibliography

• Hetland, M. L. (2017). Beginning Python : From Novice to Professional (Vol. Third edition). New York: Apress. Retrieved from http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsebk&AN=1174463
• Learning Python : [covers Python 2.5], Lutz, M., 2008

Recommended Additional Bibliography

• Python for data analysis : data wrangling with pandas, numPy, and IPhython, Mckinney, W., 2017