Магистратура
2021/2022
Основы программирования Python
Статус:
Курс адаптационный (Прикладная лингвистика и текстовая аналитика / Applied Linguistics and Text Analytics)
Направление:
45.04.03. Фундаментальная и прикладная лингвистика
Где читается:
Факультет гуманитарных наук (Нижний Новгород)
Когда читается:
1-й курс, 1 модуль
Формат изучения:
без онлайн-курса
Охват аудитории:
для своего кампуса
Прогр. обучения:
Прикладная лингвистика и текстовая аналитика
Язык:
английский
Кредиты:
5
Контактные часы:
56
Course Syllabus
Abstract
The discipline "Python Programming Essentials" introduces students to programming tools that are applicable to solving various problems in the field of linguistics. At the end of the course, students will become familiar with the basics of programming in Python 3, master the rules of Python 3 syntax, learning basic keywords, commands, and standard library 3 modules.
Learning Objectives
- At the end of the course students will be able be able to accomplish coding tasks related to the basics of programming in the Python language, and to understand the fundamental notions and techniques used in object-oriented programming.
Expected Learning Outcomes
- Students learn the basic principles of programming in Python, syntax, data types.
Course Contents
- Introduction
- Boolean Values, Conditional Execution, Loops, Strings, Lists and List Processing, Logical and Bitwise Operations.
- Functions, Dictionaries,Files
- Libraries
- Optimization. Matrix decomposition.
- Probability theory and statistics.
Bibliography
Recommended Core Bibliography
- Eric Matthes. (2019). Python Crash Course, 2nd Edition : A Hands-On, Project-Based Introduction to Programming: Vol. 2nd edition. No Starch Press.
- Grus, J. (2019). Data Science From Scratch : First Principles with Python (Vol. Second edition). Sebastopol, CA: O’Reilly Media. Retrieved from http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsebk&AN=2102311
Recommended Additional Bibliography
- Andrew Bird, Dr Lau Cher Han, Mario Corchero Jiménez, Graham Lee, & Corey Wade. (2019). The Python Workshop : A New, Interactive Approach to Learning Python. Birmingham: Packt Publishing. Retrieved from http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsebk&AN=2291496
- Ben Stephenson. (2019). The Python Workbook : A Brief Introduction with Exercises and Solutions (Vol. 2nd ed. 2019). Springer.
- Bhasin, H. (2019). Python Basics : A Self-Teaching Introduction. Dulles, Virginia: Mercury Learning & Information. Retrieved from http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsebk&AN=1991381
- 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
- Lacey, N. (2019). Python by Example : Learning to Program in 150 Challenges. Cambridge: Cambridge University Press. Retrieved from http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsebk&AN=2112094
- Mueller, J. (2018). Beginning Programming with Python For Dummies (Vol. 2nd edition). Hoboken, NJ: For Dummies. Retrieved from http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsebk&AN=1689584