EdX

Laboratorio di Programmazione (edX)

Offered by University of Naples Federico II, FedericaX,
Laboratorio di Programmazione (edX)

Impara a risolvere problemi complessi attraverso l'uso del computer e avvicinati alla magia degli algoritmi. 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.

Class Deals by MOOC List - Click here and see EdX's Active Discounts, Deals, and Promo Codes.

Questo corso fornisce un’introduzione alle metodologie e agli strumenti per la risoluzioni 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.

What you'll learn

  • linguaggio degli algoritmi
  • strutture dati e strutture di controllo
  • principali metodologie di progetto
  • tradurre algoritmi in programmi (Linux, C e Foltran)
Go to Class
MOOC List is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

Related Courses

Advanced Linear Algebra: Foundations to Frontiers (edX) EdX
University of Texas at Austin,UTAustinX

Advanced Linear Algebra: Foundations to Frontiers (edX)

Sci: Mathematics Computer Science

Learn advanced linear algebra for computing. Linear algebra is one of the fundamental tools for computational and data scientists. In Advanced Linear Algebra: Foundations to Frontiers (ALAFF), you will build your knowledge, understanding, and skills in linear algebra, practical algorithms for matrix computations, and the analysis of the effects of floating-point arithmetic as performed by computers.

Self Paced
Self-Paced
Math Computing Algorithms
Details
How to Code: Complex Data (edX) EdX
The University of British Columbia,UBCx

How to Code: Complex Data (edX)

CS: Software Engineering Data Science

Learn how to design more complex programs, using new data structures, abstraction, and generative recursion. As your program requirements get more complex, you will find that simple additions to the design method make it easy to write well-structured and well-tested code that is easy to maintain. By learning how to capture common data and control structures using abstraction, your programs will get shorter and better tested.

Self Paced
Self-Paced
Programming Data Structures Software Development
Details
HTML5 Coding Essentials and Best Practices (edX) EdX
World Wide Web Consortium - W3C,W3Cx

HTML5 Coding Essentials and Best Practices (edX)

CS: Software Engineering CS: Programming

Learn how to write Web pages and Web sites by mastering HTML5 coding techniques and best practices. HTML5 is the standard language of the Web, developed by W3C. For application developers and industry, HTML5 represents a set of features that people will be able to rely on for years to come. HTML5 is supported on a wide variety of devices, lowering the cost of creating rich applications to reach users everywhere.

Self Paced
Self-Paced
Programming HTML5 Coding
Details
Aplicaciones de la Teoría de Grafos a la vida real II (edX) EdX
Universitat Politècnica de València,UPValenciaX

Aplicaciones de la Teoría de Grafos a la vida real II (edX)

CS: Software Engineering

Aprenderemos a modelizar problemas del mundo real mediante su representación con grafos y a resolverlos mediante sus algoritmos asociados. Este curso trata la Teoría de Grafos desde el punto de vista de la modelización, lo que nos permitirá con posterioridad resolver muchos problemas de diversa índole. Presentaremos ejemplos de los distintos problemas en un contexto real, analizaremos la representación de éstos mediante grafos y veremos los algoritmos necesarios para resolverlos.

Self Paced
Self-Paced
Algorithms Modeling Graph Theory
Details
Probability and Statistics in Data Science using Python (edX) EdX
University of California, San Diego,UC San DiegoX

Probability and Statistics in Data Science using Python (edX)

Statistics & Data Analysis CS: Programming

Using Python, learn statistical and probabilistic approaches to understand and gain insights from data. The job of a data scientist is to glean knowledge from complex and noisy datasets. Reasoning about uncertainty is inherent in the analysis of noisy data. Probability and Statistics provide the mathematical foundation for such reasoning.

Self Paced
Self-Paced
Programming Python Statistics
Details
Using Python for Research (edX) EdX
HarvardX,Harvard University

Using Python for Research (edX)

CS: Software Engineering CS: Programming

Take your introductory knowledge of Python programming to the next level and learn how to use Python 3 for your research. This course bridges the gap between introductory and advanced courses in Python. While there are many excellent introductory Python courses available, most typically do not go deep enough for you to apply your Python skills to research projects.

Self Paced
Self-Paced
Programming Python Python Programming
Details
CSS Basics (edX) EdX
World Wide Web Consortium - W3C,W3Cx

CSS Basics (edX)

CS: Software Engineering CS: Programming

Learn, from Microsoft and W3C experts, how to take your Web pages from bland to bold with the power of CSS styling. Have you just begun your journey into Web development? This course will introduce you to the basics of Web design and teach you how to style your Web site for a professional look and feel.

Self Paced
Self-Paced
Programming CSS Web Design
Details
How to Code: Simple Data (edX) EdX
The University of British Columbia,UBCx

How to Code: Simple Data (edX)

CS: Software Engineering CS: Programming

Learn systematic program design - how to write programs that tell a clear story about what they do, are well-tested, and easy to improve. This programming course takes a unique approach, as it focuses on learning a systematic programming method rather than a programming language. This practical approach will help you channel your creativity so that you can program well in any language.

Self Paced
Self-Paced
Programming Software Development Systematic Programming
Details
MATLAB et Octave pour débutants (edX) EdX
École Polytechnique Fédérale de Lausanne,EPFLx

MATLAB et Octave pour débutants (edX)

CS: Software Engineering CS: Programming

Premiers pas dans MATLAB et Octave avec un regard vers le calcul scientifique. Commencer à utiliser un logiciel est toujours délicat, on ne sait jamais par où commencer. Dans ce cours nous allons nous concentrer sur la maîtrise d’Octave et MATLAB, de façon à pouvoir par la suite continuer à apprendre de manière indépendante.

Self Paced
Self-Paced
Programming MATLAB Octave
Details
LAFF – On Programming for Correctness (edX) EdX
University of Texas at Austin,UTAustinX

LAFF – On Programming for Correctness (edX)

CS: Software Engineering Sci: Mathematics

Learn to apply formal methods to systematically develop correct, loop-based programs, an essential skill for computer programmers. Is my program correct? Will it give the right output for all possible permitted inputs? Computers are now essential in everyday life. Incorrect programs lead to frustration in the best case and disaster in the worst. Thus, knowing how to construct correct programs is a skill that all who program computers must strive to master.

Self Paced
Self-Paced
Programming Correctness LAFF
Details