Online courses directory (197)

In this introductory course, you'll learn and practice essential computer science concepts using the Java programming language. You'll learn about Object Oriented Programming, a technique that allows you to use code written by other programmers in your own programs. You'll put your new Java programming skills to the test by solving real-world problems faced by software engineers.

Introduction to Psychology is a journey through all of the major psychological concepts and principles. The knowledge gained from this course will allow students to critically evaluate psychological research and have a more in-depth understanding of human thought and behavior.

This course provides a brief review of introductory algebra topics. Topics to be covered include integer operations, order of operations, perimeter and area, fractions and decimals, scientific notation, ratios and rates, conversions, percents, algebraic expressions, linear equations, the Pythagorean theorem, and graphing.

This class is offered as CS6250 at Georgia Tech where it is a part of the [Online Masters Degree (OMS)](http://www.omscs.gatech.edu/). Taking this course here will not earn credit towards the OMS degree. This course covers advanced topics in Computer Networking such as Software-Defined Networking (SDN), Data Center Networking and Content Distribution. The course is divided into three parts: Part 1 is about the implementation, design principles and goals of a Computer Network and touches upon the various routing algorithms used in CN (such as link-state and distance vector). Part 2 talks about resource control and content distribution in Networking Applications. It covers Congestion Control and Traffic Shaping. Part 3 deals with the operations and management of computer networks encompassing SDN's (Software Defined Networks), Traffic Engineering and Network Security.

Effective use of version control is an important and useful skill for any developer working on long-lived (or even medium-lived) projects, especially if more than one developer is involved. This course, *built with input from GitHub*, will introduce the basics of using version control by focusing on a particular version control system called Git and a collaboration platform called GitHub. This course is part of the Front End and Full Stack Nanodegrees..

We're here to help you get you started with JavaScript! In the twenty plus years since its inception, JavaScript has become the _lingua franca_ of the web, that's to say, it's become the main tool to create interactive content on the Internet. In this course, you'll explore the JavaScript programming language by creating an interactive version of your résumé. You’ll learn the JavaScript programming fundamentals you need while building new elements and sections to enhance your résumé. This course is also a part of our Front-End Web Developer Nanodegree.

This course explores how to use LibGDX to build 2D games that run anywhere, from web browsers to mobile devices. We start with simple drawings, and then turn to simple animations, physics, and user input handling. Finally, we create a full game, called Icicles, where icicles rain down from the top of the screen, and the player must dodge them using the arrow keys or by tilting their phone.

This class is offered as CS6440 at Georgia Tech where it is a part of the [Online Masters Degree (OMS)](http://www.omscs.gatech.edu/). Taking this course here will not earn credit towards the OMS degree. This is a survey course designed to provide a broad, forward-facing overview of contemporary health informatics, a specialized field of computing that seeks to improve the quality and efficiency of healthcare delivery. To understand health informatics (HIT) you also need to have at least a basic understanding of the complex and highly regulated US healthcare industry. The course is designed for students from diverse backgrounds and who have not been previously exposed to HIT. It is divided into three sections: The US healthcare delivery and the key role of the federal government in promoting HIT adoption The core technologies that drive all contemporary HIT systems and tools The real world applications of HIT from electronic medical and personal health records to exploiting digital data aggregated from them for research and other purposes

This class is offered as CS6290 at Georgia Tech where it is a part of the [Online Masters Degree (OMS)](http://www.omscs.gatech.edu/). Taking this course here will not earn credit towards the OMS degree. The course begins with a lesson on performance measurement, which leads to a discussion on the necessity of performance improvement. Pipelining, the first level of performance refinement, is reviewed. The weaknesses of pipelining will be exposed and explored, and various solutions to these issues will be studied. The student will learn hardware, software, and compiler based solutions to these issues.

This class is offered as CS7637 at Georgia Tech where it is a part of the [Online Masters Degree (OMS)](http://www.omscs.gatech.edu/). Taking this course here will not earn credit towards the OMS degree. This is a core course in artificial intelligence. It is designed to be a challenging course, involving significant independent work, readings, assignments, and projects. It covers structured knowledge representations, as well as knowledge-based methods of problem solving, planning, decision-making, and learning. The class is organized around three primary learning goals. First, this class teaches the concepts, methods, and prominent issues in knowledge-based artificial intelligence. Second, it teaches the specific skills and abilities needed to apply those concepts to the design of knowledge-based AI agents. Third, it teaches the relationship between knowledge-based artificial intelligence and the study of human cognition.

This class is offered as CS6505 at Georgia Tech where it is a part of the [Online Masters Degree (OMS)](http://www.omscs.gatech.edu/). Taking this course here will not earn credit towards the OMS degree. In this course, we will ask the big questions, “What is a computer? What are the limits of computation? Are there problems that no computer will ever solve? Are there problems that can’t be solved quickly? What kinds of problems can we solve efficiently and how do we go about developing these algorithms?” Understanding the power and limitations of algorithms helps us develop the tools to make real-world computers smarter, faster and safer.

In this course, we will see all the advances that have led to the state-of-the-art operating system that we know today, covering variety of platforms -- cell phones, multi-core, parallel systems, distributed systems, and cloud computing.

Inferential statistics allows us to draw conclusions from data that might not be immediately obvious. This course focuses on enhancing your ability to develop hypotheses and use common tests such as t-tests, ANOVA tests, and regression to validate your claims.

Statistics is an important field of math that is used to analyze, interpret, and predict outcomes from data. Descriptive statistics will teach you the basic concepts used to describe data. This is a great beginner course for those interested in Data Science, Economics, Psychology, Machine Learning, Sports analytics and just about any other field.

You will learn about challenges of building applications that can serve hundreds of thousands of users, and how you can prepare for them as a developer. And more importantly - you will learn how to harness the power of **App Engine** - Platform as a Service, run by Google, so you can focus on your application's features, not on managing infrastructure that runs your app. Let Google run and scale the infrastructure and do what you do best - write code! However, to use App Engine effectively, you have to learn how it works, and this is exactly what this course will teach! You will also learn the best practices of using Cloud Endpoints that allow you to easily create RESTful services and make them accessible to iOS, Android and Javascript clients. They allow you to automatically generate client libraries to make wiring up the frontend easy. And there are some nifty built-in features, like denial-of-service protection and OAuth 2.0 support.

This class teaches you how to build powerful web and mobile apps and host them in the cloud, without writing a line of code. By the end of this short course, you'll use the skills you've developed to conceptualize and create your own app. To get you there, your instructors Samantha and Andy will first help you build an app that could be used to manage logistics at a music festival. Though this is a very specific app use case, the skills you learn will be applicable to just about any business app you’d want to develop.

This course is optimized for the developer who is looking to efficiently learn the most important design techniques that will help them make better apps (with a focus on mobile/Android). This is a UX design course built for current (and aspiring) mobile developers. In this short course, you'll step back from your IDE and dive into the techniques that great designers use to plan and prototype amazing apps before any code is written. ####[Download Udacity's Android app](https://play.google.com/store/apps/details?id=com.udacity.android) to keep learning wherever you go!

Exploratory data analysis is an approach for summarizing and visualizing the important characteristics of a data set. Promoted by [John Tukey](http://en.wikipedia.org/wiki/John_Tukey), exploratory data analysis focuses on exploring data to understand the data’s underlying structure and variables, to develop intuition about the data set, to consider how that data set came into existence, and to decide how it can be investigated with more formal statistical methods. If you're interested in supplemental reading material for the course check out the Exploratory Data Analysis book. (Not Required) This course is also a part of our Data Analyst Nanodegree.

This course explores how the Gradle build tool compiles and packages apps, and you'll learn to customize the build process. The first half of this course is for anyone interested in Gradle, build automation, and continuous delivery of software. The latter half of the course reveals the magic that happens after you hit the "Run" button in Android Studio. You'll also explore advanced Android topics, learning to configure free vs paid app flavors, create and integrate Android libraries, test your app, and prepare your app for the Play Store.

Google offers APIs that allow you to access many of its popular services, including Location, Maps, Analytics, Advertising, Identity, and more. In this course, you’ll learn how to access these services, and build better apps!