Courses tagged with "Computer Science" (5)
In this project course, the final course in the Software Development MicroMasters program, you will learn how to input, manipulate, and return data with a modern web development stack. Using TypeScript and Node, you will manipulate large amounts of information using a domain-specific querying language. Backend, REST, and front-end technologies will be required to successfully complete the project.
In teams, students will work through the project in several sprints. In each sprint, students will produce a deliverable that is evaluated using an automated test suite. The feedback you will receive from this suite will be limited. To succeed at the project you will need to create your own private test suite to further validate each deliverable.
By working through such a large-scale development project, you will learn technical development skills, and gain experience with how teams develop software in the industry.
This is the largest project in the Software Development MicroMasters program. Verified learners will have access to greatly increased staff coaching to help complete the project.
Want to gain software quality skills used in mission critical systems?
Modeling checking, symbolic execution and formal methods are techniques that are used for mission critical systems where human life depends upon the system working correctly.
In this course, part of the Software Testing and Verification MicroMasters program, you will learn how to perform these techniques manually and by using automation tools.
No previous programming knowledge needed. The concepts from this course can be applied to any programming language and testing software. This course will use Java, Java Path Finder and Java Modeling Language, however, for examples and assignments.
How do you protect the critical data that is increasingly being stored in the cloud? Learn how to build a security strategy that keeps data safe and mitigates risk.
In this course, part of the Cloud Computing MicroMasters program, you will be introduced to industry best practices for cloud security and learn how to architect and configure security-related features in a cloud platform. Case studies and government standard documents will be reviewed to help ensure appropriate levels of security are implemented.
You’ll develop the necessary skills to identify possible security issues in the cloud environment. You will also gain experience with tools and techniques that monitor the environment and help prevent security breaches such as monitoring logs and implementing appropriate security policies.
In data science, data is called “big” if it cannot fit into the memory of a single standard laptop or workstation.
The analysis of big datasets requires using a cluster of tens, hundreds or thousands of computers. Effectively using such clusters requires the use of distributed files systems, such as the Hadoop Distributed File System (HDFS) and corresponding computational models, such as Hadoop, MapReduce and Spark.
In this course, part of the Data Science MicroMasters program, you will learn what the bottlenecks are in massive parallel computation and how to use spark to minimize these bottlenecks.
You will learn how to perform supervised an unsupervised machine learning on massive datasets using the Machine Learning Library (MLlib).
In this course, as in the other ones in this MicroMasters program, you will gain hands-on experience using PySpark within the Jupyter notebooks environment.
Have you ever wondered how your favorite mobile applications are developed?
Join us on a gentle journey through the mobile application development landscape, using Android as the platform. Along the way we will learn to use Android Studio, the integrated development environment (IDE) for Android apps. This course is intended for students who have some prior programming experience. The course will introduce you to the basics of the Android platform, Android application components, Activities and their lifecycle, UI design, Multimedia, 2D graphics and networking support in Android.
This course covers the following topics:
- Android platform and the Android Studio IDE
- Android components, Activities and their lifecycle, Intents
- UI Design: Widgets and Layouts, UI Events, Event Listeners
- 2D graphics: Canvas/Drawing using a view
- Multimedia: Audio playback and MediaPlayer
- Network support: AsyncTask, HttpURLConnection
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