Introdução à Ciência da Computação com Python Parte 2

Go to Course: https://www.coursera.org/learn/ciencia-computacao-python-conceitos-2

Introduction

# Course Review: Introdução à Ciência da Computação com Python Parte 2 **Platform:** Coursera **Institution:** Universidade de São Paulo **Course Duration:** Approximately six weeks **Level:** Beginner ## Overview Welcome to "Introdução à Ciência da Computação com Python Parte 2," a comprehensive course designed for students who wish to deepen their understanding of computer science concepts while getting hands-on experience in programming with Python. This course serves as a continuation of the introductory series, and it has been crafted to be accessible to all learners, with no prior programming experience required. The course is structured to enhance foundational skills in computer science, making it an excellent resource for anyone eager to embark on a programming journey—or for those wanting to solidify their existing knowledge. ## Syllabus Breakdown ### 1. Matrizes (Matrices) The course begins with an exploration of matrices in Python. Through engaging video lectures and practical exercises, students are introduced to one of the core concepts in programming—how to effectively handle and manipulate data structures. ### 2. Strings, 4 Pequenos Conceitos e Modularização (Strings, 4 Small Concepts, and Modularization) In this section, learners dive into string manipulation—an essential part of programming. They also encounter four vital concepts that will aid in their understanding of Python. A significant focus is placed on modularization, which helps programmers organize their code, making it cleaner and easier to maintain. ### 3. POO - Programação Orientada a Objetos (OOP - Object-Oriented Programming) Week three takes a deeper dive into object-oriented programming concepts. This week is crucial as students learn how to structure their programs more effectively, grasping the principles of encapsulation, inheritance, and polymorphism—foundational concepts for any aspiring programmer. ### 4. Algoritmos de Busca e Ordenação. Complexidade Computacional (Search and Sort Algorithms. Computational Complexity) As students move into the fourth week, they will study various search and sorting algorithms. Understanding how to efficiently organize and retrieve data is critical in programming, and this week will not only cover the algorithms but also delve into their performance analysis. ### 5. Algoritmos de Busca e Ordenação. Análise de Desempenho (Search and Sort Algorithms. Performance Analysis) The fifth week continues the discussion on search and sort algorithms, emphasizing performance analysis and automated testing. This knowledge is vital for any programmer aiming to optimize their code and ensure its reliability. ### 6. Recursão (Recursion) The final week culminates with a study of recursion—a concept that can initially be challenging but is crucial in advanced programming contexts. Students will learn how to implement recursive functions, reinforcing their problem-solving skills. ### Extra Module - Usos Avançados (Advanced Uses) Beyond the standard curriculum, there is an additional module that explores advanced topics, providing students with further insights and practical applications of Python in real-world scenarios. ## Review and Recommendations "Introdução à Ciência da Computação com Python Parte 2" is a thoughtfully designed course that builds upon the knowledge from the first part. Here are some of the standout features: 1. **Accessibility:** The course is tailored for beginners, making it easy for anyone to start programming without a steep learning curve. 2. **Clear Instruction:** The instructors deliver complex concepts in a clear and engaging manner, backed by practical exercises that solidify understanding. 3. **Hands-On Experience:** Students are encouraged to practice programming actively, which is essential for mastering the material. 4. **Comprehensive Content:** From basic data structures to more advanced concepts like recursion and OOP, the course covers a wide range of essential computer science topics. 5. **Supportive Community:** Coursera’s discussion forums and peer feedback mechanisms enhance the learning experience, allowing for collaboration and support among students. ### Final Thoughts For anyone interested in learning Python or enhancing their computer science skills, I wholeheartedly recommend "Introdução à Ciência da Computação com Python Parte 2." It not only equips learners with necessary programming skills but also fosters a deep understanding of fundamental computer science principles. Embrace the journey of programming; this course is an excellent step to put you on the right path. Happy coding!

Syllabus

Matrizes

Vamos começar a segunda parte do nosso curso aprendendo conceitos e funcionamento de matrizes em Python. Assista as videoaulas e resolva os exercícios com muita atenção ;-)

Sejam bem vindos! Vamos começar estudando um pouco sobre "string”: o que é, como usar e manipulação de strings. Veremos também 4 pequenos conceitos que irão nos ajudar muito na hora de programar. Além disso, a organização do programa ajuda o programador na sua tarefa, deixando o código mais fácil de ser entendido, conferido e arrumado, caso necessário. Para isso, vamos conhecer “modularização”. Bons estudos!

Sejam bem vindos à terceira semana do curso. Vamos estudar agora conceitos sobre programação orientada a objetos. Serão muitos novos conceitos e sua atenção na hora de ver os vídeos e fazer os exercícios será fundamental. Assista os vídeos 1, 2 ou quantas vezes forem necessárias para que você entenda muito bem cada conceito. Bom trabalho!

Olá! Vimos até agora como armazenar e manipular os dados na memória, usando estruturas como listas e matrizes, na primeira parte do curso. Tão importante quanto saber armazenar os dados é conseguir organizá-los e recuperá-los quando necessário. Nessa semana iremos estudar alguns algoritmos de busca e ordenação. Mãos à obra ;-)

Legal, estamos chegando no final. Nessa semana iremos ver mais um pouco sobre algoritmos de busca e ordenação, além de testes automatizados. Bom trabalho!

Parabéns! Você chegou na última semana do curso. Nessa semana, iremos aprender sobre recursão e como implementá-la. Bom trabalho ;-)