EdX

Paradigms of Computer Programming - Fundamentals (edX)

Paradigms of Computer Programming - Fundamentals (edX)

This course covers functional, object-oriented, and declarative dataflow programming in a unified framework, with practical code fragments and a simple semantics.

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

Louv1.1x and Louv1.2x together give an introduction to all major programming concepts, techniques, and paradigms in a unified framework. We cover the three main programming paradigms : functional, object-oriented, and declarative dataflow.

The two courses are targeted toward people with a basic knowledge of programming. It will be most useful to beginning programming students, but the unconventional approach should be insightful even to seasoned professionals.
Louv1.1x covers fundamental concepts. You’ll learn functional programming, its techniques and its data structures. You’ll use simple formal semantics for all concepts, and see those concepts illustrated with practical code that runs on the accompanying open-source platform, the Mozart Programming System.
Louv1.2x covers data abstraction, state, and concurrency. You’ll learn the four ways to do data abstraction and discuss the trade-offs between objects and abstract data types. You’ll be exposed to deterministic dataflow, the most useful paradigm for concurrent programming, and learn how it avoids race conditions.

What you'll learn:

  • How to specify problems, break them down into their basic steps, and design algorithms and abstractions to solve them
  • How to choose the right programming paradigm and write a program in this paradigm to solve a problem
  • How to use formal semantics to reason about program correctness
  • How to write small concurrent programs in the deterministic dataflow paradigm
Go to Class
MOOC List is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

Related Courses

CS50's Introduction to Computer Science (edX) EdX
HarvardX,Harvard University

CS50's Introduction to Computer Science (edX)

An introduction to the intellectual enterprises of computer science and the art of programming. This is CS50, Harvard University's introduction to the intellectual enterprises of computer science and the art of programming for majors and non-majors alike, with or without prior programming experience. An entry-level course taught by David J. Malan, CS50 teaches students how to think algorithmically and solve problems efficiently.

Self Paced
Self-Paced
Introduction to Computer Science and Programming (edX) EdX
Tokyo Institute of Technology,TokyoTechX

Introduction to Computer Science and Programming (edX)

The term “Computation” refers to the action performed by a computer. A computation can be a basic operation and it can also be a sophisticated computer simultation requiring a large amount of data and substantial resources. This course aims at introducing learners with no prior knowledge to basics and key concepts of computer science. By following the lectures and exercises of this course you will have an understanding of algorithms and you will get a real experience of programming using the language Ruby.

Self Paced
Self-Paced
Programación para todos (empezando con Python) (edX) EdX
University of Michigan,MichiganX

Programación para todos (empezando con Python) (edX)

Este curso en línea es una introducción "sin prerrequisitos" a la programación en Python. Aprenderás sobre las variables, la ejecución condicional, la ejecución repetida y cómo usamos las funciones. Este curso de Python tiene el objetivo de enseñar a todos lo básico de la programación de computadoras usando Python. Conocerás cómo construir un programa de una serie de instrucciones simples en Python.

Self Paced
Self-Paced
HTML5 Apps and Games (edX) EdX
World Wide Web Consortium - W3C,W3Cx

HTML5 Apps and Games (edX)

Today, developers are increasingly moving from native to HTML5-based apps. Increase your ability to design and deliver innovative services on the Web! Want to learn advanced HTML5 tips and techniques? This is the course for you! Find out more about the powerful Web features that will help you create great content and apps.

Self Paced
Self-Paced
Programming for Data Science (edX) EdX
University of Adelaide,AdelaideX

Programming for Data Science (edX)

Learn how to apply fundamental programming concepts, computational thinking and data analysis techniques to solve real-world data science problems. There is a rising demand for people with the skills to work with Big Data sets and this course can start you on your journey through our Big Data MicroMasters program towards a recognised credential in this highly competitive area. Using practical activities you will learn how digital technologies work and will develop your coding skills through engaging and collaborative assignments.

Self Paced
Self-Paced
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)

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
Introduction to Object-Oriented Programming with Java III: Exceptions, Data Structures, Recursion, and GUIs (edX) EdX
Georgia Institute of Technology,GTx

Introduction to Object-Oriented Programming with Java III: Exceptions, Data Structures, Recursion, and GUIs (edX)

Learn how to create and use exceptions, data structures, recursion, and graphical user-interfaces (GUIs). This course provides students with the knowledge to handle and even create exceptions to achieve graceful error handling in programs. They will also create and utilize data structures, including lists and files. Students will also learn about recursion and how it can be a useful approach to repetition in a program. Finally, students will learn how to develop basic graphical user interfaces (GUIs) using JavaFX.

Self Paced
Self-Paced
MATLAB et Octave pour débutants (edX) EdX
École Polytechnique Fédérale de Lausanne,EPFLx

MATLAB et Octave pour débutants (edX)

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
Computing in Python IV: Objects & Algorithms (edX) EdX
Georgia Institute of Technology,GTx

Computing in Python IV: Objects & Algorithms (edX)

Learn about recursion, search and sort algorithms, and object-oriented programming in Python. Complete your introductory knowledge of computer science with this final course on objects and algorithms. Now that you've learned about complex control structures and data structures, learn to develop programs that more intuitively leverage your natural understanding of problems through object-oriented programming. Then, learn to analyze the complexity and efficiency of these programs through algorithms. In addition, certify your broader knowledge of Introduction to Computing with a comprehensive exam.

Self Paced
Self-Paced