Laboratorio di Programmazione from edX

Il linguaggio di programmazione è uno degli strumenti che abbiamo per interpretare e risolvere i problemi di tutti i giorni. Un linguaggio che è alla base di problemi comuni, come le previsioni del tempo o l'analisi della deformazione di una struttura di un'auto in un incidente stradale.

Questo corso fornisce un’introduzione alle metodologie e agli strumenti per la risoluzione di problemi attraverso l'uso del computer. Sarai guidato nell'individuazione di metodologie di progetto, sviluppo ed analisi degli algoritmi di base per il calcolo scientifico nonché all’uso dei principali strumenti di calcolo (hardware e software), con particolare riguardo all’influenza che questi ultimi esercitano sullo sviluppo degli algoritmi stessi.

Una volta completato questo corso, segui la seconda parte con Laboratorio di programmazione: strumenti e programmi

Programming Lab

Programming languages offera solution for interpreting and solving everyday problems. A language that underlies basic problems, like forecasting the weather, or understanding the dynamics of a car accident from the damage to the car.

This course introduces students to the various methods and tools for problem-solving via computer. You will learn how to select the best methodology for your project, how to develop and analyze basic algorithms for scientific calculation, and how to use the main calculation tools (hardware e software). You will also see how these tools influence the development of algorithms.

What's inside

Learning objectives

Linguaggio degli algoritmi;
Strutture dati e strutture di controllo;
Principali metodologie di progetto;
Tradurre algoritmi in programmi (linux, c e foltran)

Language of algorithms
Data structures and control structures
Main methodologies to define and develop a project
How to translate algorithms into programmes (linux, c and foltran)

Linguaggio degli algoritmi;
Strutture dati e strutture di controllo;
Principali metodologie di progetto;
Tradurre algoritmi in programmi (linux, c e foltran)
Language of algorithms
Data structures and control structures
Main methodologies to define and develop a project
How to translate algorithms into programmes (linux, c and foltran)

Good to know

Know what's good

, what to watch for

, and possible dealbreakers

Questa introduzione al calcolo scientifico copre vari linguaggi di programmazione

Il corso copre il linguaggio degli algoritmi e le metodologie di progettazione

Il corso è consigliato a studenti interessati alla risoluzione di problemi tramite computer

Marco Lapegna è un istruttore esperto nella programmazione

Questo corso fa parte di una serie su laboratori di programmazione

Il corso è disponibile in italiano

Reviews summary

Introduzione alla risoluzione di problemi con il computer

Il corso offre un'introduzione pratica e di facile comprensione alla risoluzione dei problemi con il computer. I video sono chiari, i materiali didattici sono utili e le note storiche alla fine di ogni lezione sono un tocco interessante.

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Laboratorio di Programmazione with these activities:

Review of algorithmic languages

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Review the basics of algorithm structure and implementation to strengthen your foundation for the course.

Browse courses on Algorithm

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Revise fundamental concepts of algorithms, including functions, variables, and data structures.
Practice implementing algorithms using pseudocode or a programming language.
Solve algorithmic problems of increasing complexity.

Exploring Data Structures and Algorithms

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Supplement your understanding of data structures and algorithms by working through online tutorials and exercises.

Browse courses on Data Structures

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Identify reputable online resources and tutorials covering data structures and algorithms.
Follow the tutorials, implementing the concepts in a programming language.
Solve practice problems related to the covered data structures and algorithms.

Algorithm Implementation Exercises

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Sharpen your algorithm implementation skills through dedicated practice exercises.

Browse courses on Algorithms

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Find online platforms or textbooks with a collection of algorithm implementation problems.
Select problems of varying difficulty levels.
Implement the algorithms using a programming language of your choice.
Test and debug your implementations.

Three other activities

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Building a Small Programming Project

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Apply your knowledge and skills to develop a small programming project that demonstrates your understanding of the course concepts.

Browse courses on Programming

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Identify a problem or challenge that can be solved using the concepts covered in the course.
Design and implement an algorithm to solve the problem.
Develop a program based on your algorithm.
Test and refine your program.
Document your project, including your design choices and implementation details.

Peer Tutoring or Mentoring

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Enhance your understanding and solidify your knowledge by mentoring or tutoring fellow students.

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Identify opportunities to assist peers who may be struggling with course concepts.
Prepare materials and resources to support your tutoring sessions.
Engage with fellow students, providing guidance, solving problems, and clarifying concepts.
Reflect on your mentoring experiences and identify areas for improvement.

Contributing to Open-Source Projects

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Expand your practical experience and give back to the community by contributing to open-source projects related to algorithms and programming.

Browse courses on Open Source

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Identify open-source projects that align with your interests and skill level.
Familiarize yourself with the project's codebase and contribution guidelines.
Identify areas where you can contribute, such as bug fixes, feature enhancements, or documentation improvements.
Submit your contributions for review and feedback.

Career center

Learners who complete Laboratorio di Programmazione will develop knowledge and skills that may be useful to these careers:

Computer Scientist

Computer Scientists conduct research in computer science and apply theory to the design or creation of computer systems. A strong background in theory, algorithms, and the principles of computer science is essential. Programming Lab would provide this foundation.

See salaries and explore the career path for Computer Scientist

Artificial Intelligence Engineer

Artificial Intelligence Engineers design, develop and test software for artificial intelligence applications. A course in programming lab will teach the fundamentals of programming and algorithms, which are foundational skills for AI.

See salaries and explore the career path for Artificial Intelligence Engineer

Software Developer

Software Developers design, build, test, and maintain computer software. Computer science is a core field of study for this profession. A course in Programming Lab can help build a foundation for the algorithms and data structures used in software development.

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Computer Systems Analyst

Computer Systems Analysts gather user requirements, design new systems, and oversee the installation and implementation of new computer systems. A foundational knowledge of programming languages and data structures, such as the one a Programming Lab course would provide, is essential.

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Computer Hardware Engineer

Computer Hardware Engineers design and develop computer hardware. They need a strong understanding of programming and algorithms. A course like Programming Lab will teach these fundamentals.

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Robotics Engineer

Robotics Engineers design, build, and maintain robots. The field of robotics requires programming and algorithm skills, which can be developed through a course like Programming Lab.

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Big Data Architect

Big Data Architects design and implement big data solutions. They need a strong foundation in programming and algorithms. A course like Programming Lab can help build this foundation.

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Computer Programmer

Computer Programmers code computer programs for various purposes, such as software applications or web browsers. On-the-job experience is the usual way to enter this profession, but a course like Programming Lab can be helpful for establishing a strong basis in the fundamental skills.

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Software Architect

Software Architects design the overall architecture of software systems. A Programming Lab course can help develop the programming skills necessary for this role.

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Information Systems Manager

Information Systems Managers plan, develop, and direct the installation, maintenance, and use of computer systems within an organization. A background in programming is essential to managing IT infrastructure.

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Web Developer

Web Developers design and maintain websites. A course like Programming Lab can provide a strong grounding in programming languages and tools required for this career path.

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Database Administrator

Database Administrators manage and maintain databases. A basic understanding of programming is helpful for this role. A course in Programming Lab will teach some of these basics.

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Data Scientist

Data Scientists have expertise in mathematics, statistics and data analysis, and programming. A basic course on programming, such as Programming Lab, can help develop the foundational skills necessary for this field.

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Business Analyst

Business Analysts analyze the business needs of an organization and help to design and implement solutions. A basic understanding of programming and algorithms may be helpful. A course in Programming Lab may be useful for building this knowledge.

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Project Manager

Project Managers plan, execute, and close projects. They need to have a basic understanding of programming and algorithms. A course like Programming Lab may be useful for building this knowledge.

See salaries and explore the career path for Project Manager