Python Programming. Advanced Level

2025/2026

Academic Year

ENG

Instruction in English

4

ECTS credits

Category 'Best Course for Career Development'

Category 'Best Course for Broadening Horizons and Diversity of Knowledge and Skills'

Category 'Best Course for New Knowledge and Skills'

Delivered at:

International College of Economics and Finance

Course type:

Elective course

When:

1 year, 2 semester

Instructor

Рафаелян Георгий Робертович

Course Syllabus

Abstract

The course includes a wide variety of python tools to refactor/ create/ pull data from the internet/ downloaded files. The main focus will be on using python’s advanced toolset in conjunction with other frameworks/ languages (API) to extract data and manipulate it.

Learning Objectives

• The course objective is to learn to use python libraries for interacting (primarily loading from the internet and manipulating) with data via python.

Expected Learning Outcomes

• Create comprehensive SQL scripts for the basic tasks for data engineering
• Get and retrieve information from the internet (mainly web pages) via python automating some routine tasks
• Parallelize their code for more efficiency using the access to multiple processes
• Perform basic and more advanced statistical analysis via python
• Combine their knowledge of the previous topics efficiently to solve complex problems

Course Contents

• Python extensions for working with SQL (PostgreSQL) framework
• Python extensions for data scraping
• Multiprocessing for parallelizing data processing and calculations
• Intro to python statistical analysis and optimization
• Revision and project consultation

Assessment Elements

• Exam: In-class assignment
  Completness and correctness of the submitted solutions. In order to get a passing grade for the course, the student must sit (all parts) of the examination.
• Home assignments
• Class Activity
• Project

Interim Assessment

• 2025/2026 2nd semester
  0.29 * Project + 0.16 * Home assignments + 0.42 * Exam: In-class assignment + 0.13 * Class Activity

Bibliography

Recommended Core Bibliography

• Python для data science, Васильев, Ю., 2023
• Объектно-ориентированное программирование с помощью Python, Кальб, И., 2024

Recommended Additional Bibliography

• Python in a nutshell : a desktop quick reference, , 2023

Authors

• Akinshin Anatolii Anatolevich
• Rafaelian Georgii Robertovich