Courses tagged with "Differential+Equations" (146)

Everyone in education has questions – Practical Learning Analytics is about answering them. To be practical, we’ll focus on data every university records; to keep things interesting, we’ll examine questions raised by many audiences; to ensure impact, we’ll provide realistic data and example code.

Learn the basic components of building and applying prediction functions with an emphasis on practical applications. This is the eighth course in the Johns Hopkins Data Science Specialization.

Process mining is the missing link between model-based process analysis and data-oriented analysis techniques. Through concrete data sets and easy to use software the course provides data science knowledge that can be applied directly to analyze and improve processes in a variety of domains.

In this course----the third in a trans-institution sequence of MOOCs on Mobile Cloud Computing with Android--we will learn how to connect Android mobile devices to cloud computing and data storage resources, essentially turning a device into an extension of powerful cloud-based services on popular cloud computing platforms, such as Google App Engine and Amazon EC2.

This course introduces students to basic issues in mobile cloud security, malware, and secure client/server communication. Students will learn about security risks in Android and cloud services, threat mitigation strategies, secure coding practices, and tools for managing security of devices.

In this course we will learn how to connect Android mobile devices to cloud computing and data storage resources, essentially turning a device into an extension of powerful cloud-based services on popular cloud computing platforms, such as Google App Engine and Amazon EC2.

This course aims to teach everyone to learn the basics of programming computers using Python. The course has no pre-requisites and avoids all but the simplest mathematics. Anyone with moderate computer experience should be able to master the materials in this course.

Introduction to the design and implementation of applications for handheld systems, such as smartphones and tablets, running the Android Platform.

This course introduces you to the design and implementation of Android applications for mobile devices. You will develop an app from scratch, assuming a basic knowledge of Java, and learn how to set up Android Studio, work with various Activities and create simple user interfaces to make your apps run smoothly.

This course introduces you to the design and implementation of Android applications for mobile devices. You will build upon concepts from the prior course, including handling notifications, using multimedia and graphics and incorporating touch and gestures into your apps.

In this course, we will learn how to apply patterns and frameworks to alleviate the complexity of developing concurrent and networked applications and services on mobile devices running Android that connect to popular cloud computing platforms.

In this MOOC, we will learn how to apply patterns and frameworks to alleviate the complexity of developing concurrent applications on mobile devices running Android that connect to popular cloud computing platforms.

The level of popularity you experienced in childhood and adolescence is still affecting you today in ways that you may not even realize. Learn about how psychologists study popularity and how these same concepts can be used in adulthood to be more successful at work, become better parents, and have a happier life.

Learn how to program in R and how to use R for effective data analysis. This is the second course in the Johns Hopkins Data Science Specialization.

The city is now the predominant human habitat. How do we make hyper-dense cities of the future green, livable and poetic?

Learn how to use regression models, the most important statistical analysis tool in the data scientist's toolkit. This is the seventh course in the Johns Hopkins Data Science Specialization.

Learn the concepts and tools behind reporting modern data analyses in a reproducible manner. This is the fifth course in the Johns Hopkins Data Science Specialization.

Population ageing is occurring in nearly every country around the word. This MOOC takes a multidisciplinary approach to explore the impact of living longer and takes into account the technological advancements, the built environment, economics and ethics to rethink what it means to 'age well' now and in the future.

In this course, you'll learn what every citizen should know about the security risks--and future potential — of electronic voting and Internet voting.

¡Claro que todos podemos potenciar nuestra creatividad a través de procedimientos, rutinas y protocolos sencillos! El participante desarrollará su talento creativo para aportar soluciones originales y generar ideas y productos en el ámbito en que se desenvuelve y en la vida cotidiana.