Courses tagged with "Website Development" (105)

Learn core distributed computing concepts that underlie today’s and tomorrow’s cloud computing systems.

Learn how to take scattered data and organize it into groups for use in many applications, such as market analysis and biomedical data analysis, or as a pre-processing step for many data mining tasks.

Have you ever wished you knew how to program, but had no idea where to start from? This course will teach you how to program in Scratch, an easy to use visual programming language. More importantly, it will introduce you to the fundamental principles of computing and it will help you think like a software engineer.

This course will discuss the major ideas used today in the implementation of programming language compilers. You will learn how a program written in a high-level language designed for humans is systematically translated into a program written in low-level assembly more suited to machines!

CS101 teaches the essential ideas of Computer Science for a zero-prior-experience audience. The course uses small coding experiments in the browser to play with the nature of computers, understanding their strengths and limitations. Sign up for the "To be announced" session to be notified by email when the class is next run, and sign up for "Self-Study" to start browsing the class materials right away. Self-Study mode makes all the videos and assignments available to be done at your own pace, but without a certificate of completion at the end.

The CS 61 series is an introduction to computer science, with particular emphasis on software and on machines from a pro

For anyone who would like to apply their technical skills to creative work ranging from video games to art installations to interactive music, and also for artists who would like to use programming in their artistic practice.

In this course, you will learn the fundamental computer science principles that power today’s apps. You will also create your own Android app using Java and standard software development tools.

This course will introduce you to the field of computer science and the fundamentals of computer programming. Introduction to Computer Science I is specifically designed for students with no prior programming experience, and taking this course does not require a background in Computer Science. This course will touch upon a variety of fundamental topics within the field of Computer Science and will use Java, a high-level, portable, and well-constructed computer programming language developed by Sun Microsystems (now Oracle), to demonstrate those principles. We will begin with an overview of the course topics as well as a brief history of software development. We will cover basic object-oriented programming terminology and concepts such as objects, classes, inheritance, and polymorphism, as well as the fundamentals of Java, its primitive data types, relational operators, control statements, exception handling, and file input /output. By the end of the course, you should have a strong understanding of the fundam…

In the first unit, we will learn the mechanics of editing and compiling a simple program written in C++.  We will begin with a discussion of the essential elements of C++ programming: variables, loops, expressions, functions, and string class.  Next, we will cover the basics of object-oriented programming: classes, inheritance, templates, exceptions, and file manipulation.  We will then review function and class templates and the classes that perform output and input of characters to/from files.  This course will also cover the topics of namespaces, exception handling, and preprocessor directives.  In the last part of the course, we will learn some slightly more sophisticated programming techniques that deal with data structures such as linked lists and binary trees. This course contains a number of sample programs and review exercises.  Through these exercises, students should better learn how to write functions, use the string class, and write elementary data structures such as linked lists and bina…

Because we have compiler programs, software developers often take the process of compilation for granted.  However, as a software developer, you should cultivate a solid understanding of how compilers work in order to develop the strongest code possible and fully understand its underlying language.  In addition, the compilation process comprises techniques that are applicable to the development of many software applications.  As such, this course will introduce you to the compilation process, present foundational topics on formal languages and outline each of the essential compiler steps: scanning, parsing, translation and semantic analysis, code generation, and optimization.  By the end of the class, you will have a strong understanding of what it means to compile a program, what happens in the process of translating a higher-level language into a lower-level language, and the applicability of the steps of the compilation process to other applications.

Though we may not recognize them in our everyday activities, databases are everywhere.  They are hidden behind your online banking profile, airline reservation systems, medical records, and even employment records.  This course will provide students with a general overview of databases, introducing you to database history, modern database systems, the different models used to design a database, and Structured Query Language (SQL), which is the standard language used to access and manipulate databases.   Many of the principles of database systems carry to other areas in computer science, especially operating systems.  Databases are often thought of as one of the core computer science topics, since many other areas in the discipline have been derived from this area.

This course is an upper division computer science course that studies the design of programming languages. While most of the industry uses either procedural or object-oriented programming languages, there are entire families of other languages with certain strengths and weaknesses that make them attractive to a variety of problem domains.  It is important to know about these less well-known yet powerful languages if you find yourself working in an area that could utilize their strengths.  In this course, we will discuss the entire programming language family, starting with an introduction to programming languages in general and a discussion of the features and functionality that make up the modern programming language.  From there, each unit will discuss a different family of programming languages, including Imperative, Object-Oriented, Functional, Scripting, and, Logical. For each language, you will learn about its computational model, syntax, semantics, and pragmatic considerations that shape the langua…

Learn how to transform information from a format efficient for computation into a format efficient for human perception, cognition, and communication. Explore elements of computer graphics, human-computer interaction, perceptual psychology, and design in addition to data processing and computation.

Understanding how to approach programming problems and devise a solution is an essential skill for any Python developer. In this course, you’ll learn new concepts, patterns, and methods that will expand your coding abilities from programming expert, Peter Norvig.

Learn the basics of creating data products using Shiny, R packages, and interactive graphics. This is the ninth course in the Johns Hopkins Data Science Specialization.

Learn about functional programming, and how it can be effectively combined with object-oriented programming. Gain practice in writing clean functional code, using the Scala programming language.

This course introduces concepts, languages, techniques, and patterns for programming heterogeneous, massively parallel processors. Its contents and structure have been significantly revised based on the experience gained from its initial offering in 2012. It covers heterogeneous computing architectures, data-parallel programming models, techniques for memory bandwidth management, and parallel algorithm patterns.

Helping you build human-centered design skills, so that you have the principles and methods to create excellent interfaces with any technology.

Helping you build human-centered design skills, so that you have the principles and methods to create excellent interfaces with any technology.