Introduction to Computer Science II

Introduction

This course description is in English only.

Course content

1.  Data Analysis and Visualization
   • An introduction to data analysis using Pandas, a powerful library for handling and analyzing structured data.
   • Data visualization techniques using Matplotlib and Seaborn, allowing students to create meaningful visual representations of data.
2.  Relational Databases and SQL
   • Introduction to relational databases, including data storage and retrieval concepts.
   • Querying and modifying data using Structured Query Language (SQL), a critical skill for interacting with databases.
   • Students will learn about database design, focusing on Entity-Relationship (ER) models and the relational model.
   • Students will apply their knowledge by programming with databases, integrating Python and SQL.
3.  Introduction to the Internet and Web Development
   • A comprehensive overview of the server-client architecture that underpins web-based software systems.
   • Fundamentals of static web development using HTML, CSS, and JavaScript, providing students with an introduction to front-end development.
   • Development of dynamic web applications using the Flask framework, which allows students to create web interfaces that interact with databases.