Бакалавриат
2026/2027
Программирование на Python. Продвинутый уровень
Статус:
Курс по выбору (Международная программа по экономике и финансам)
Кто читает:
Международный институт экономики и финансов
Где читается:
Международный институт экономики и финансов
Когда читается:
1-й курс, 3, 4 модуль
Охват аудитории:
для своего кампуса
Язык:
английский
Кредиты:
4
Контактные часы:
44
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
- Home assignments
- Class Activity
- Exam: In-class assignmentIn order to get a passing grade for the course, the minimum score should not be less than 25/100
- Project
Interim Assessment
- 2026/2027 4th module0.12 * Home assignments + 0.5 * Exam: In-class assignment + 0.25 * Project + 0.13 * Class Activity
