Implementation of Data Structures (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

EdX

University of California, San Diego,UC San DiegoX

Algorithms and Data Structures Capstone (edX)

Sci: Biology & Life Sciences CS: Theory

Synthesize your knowledge of algorithms and biology to build your own software for solving a biological challenge. Building a fully-fledged algorithm to assemble genomes from DNA fragments on a real dataset is an enormous challenge with major demand in the multi-billion dollar biotech industry. In this capstone project, we will take the training wheels off and let you design your own optimized software program for genome sequencing.

Self Paced

Self-Paced

Biology Algorithms Data Structures

Details

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

EdX

Georgia Institute of Technology,GTx

Data Structures & Algorithms I: ArrayLists, LinkedLists, Stacks and Queues (edX)

CS: Programming Computer Science

Work with the principles of data storage in Arrays, ArrayLists & LinkedList nodes. Understand their operations and performance with visualizations. Implement low-level linear, linked data structures with recursive methods, and explore their edge cases. Extend these structures to the Abstract Data Types, Stacks, Queues and Deques.

Self Paced

Self-Paced

Algorithms Data Structures Java Programming

Details

EdX

Georgia Institute of Technology,GTx

Introduction to Object-Oriented Programming with Java I: Foundations and Syntax Basics (edX)

CS: Programming

Learn the foundational basics of the Java programming language. This course provides an introduction to the Java programming language. It gives students a foundational overview and history of Java, and students will learn about the language’s basic syntax. At the end, they will be able to develop interactive console programs with basic data processing and formatting capabilities.

Self Paced

Self-Paced

Programming Java Object-Oriented Programming

Details

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

EdX

Georgia Institute of Technology,GTx

Introduction to Object-Oriented Programming with Java II: Object-Oriented Programming and Algorithms (edX)

CS: Programming

Learn the basics of object-oriented programming and algorithms. Students will build on the skills learned from “Introduction to Object-Oriented Programming with Java I: Foundations and Syntax Basics” and learn the basics of writing classes that serve as blueprints of concepts or objects that are represented in a programming problem. Students will leverage the concepts of inheritance, interfaces, and polymorphism to program reusability and flexibility in classes. Finally, students will gain experience walking through and analyzing algorithms that are applied on data (including objects) in many object-oriented programs.

Self Paced

Self-Paced

Programming Java Algorithms

Details

EdX

World Wide Web Consortium - W3C,W3Cx

JavaScript Introduction (edX)

CS: Software Engineering CS: Programming

Learn JavaScript, a Web development programming language, to add interactivity to your Web pages, and become an expert Web developer. This computer science course is an initiation to JavaScript programming and has been designed to help Web developers have an understanding of the basic concepts of the language. This course was developed in partnership between W3C and University Côte d'Azur.

Self Paced

Self-Paced

Programming HTML Javascript

Details

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

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

EdX

University of California, San Diego,UC San DiegoX

Graph Algorithms (edX)

Sci: Mathematics Computer Science

Learn how to use algorithms to explore graphs, compute shortest distance, min spanning tree, and connected components. If you have ever used a navigation service to find the optimal route and estimate time to destination, you've used algorithms on graphs.

Self Paced

Self-Paced

Algorithms Graphs Graph Algorithms

Details

EdX

Georgia Institute of Technology,GTx

Computing in Python IV: Objects & Algorithms (edX)

CS: Programming

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

Programming Python Computing

Details