IDS UCLA APK

Download IDS UCLA 4.0.0 APK

App Description

IDS UCLA is ucla,idsucla,education, content rating is Everyone (PEGI-3). This app is rated 5 by 1 users who are using this app. To know more about the company/developer, visit UCLA website who developed it. edu.ucla.oit.idsucla.apk apps can be downloaded and installed on Android 5.1 and higher Android devices. The Latest Version of 4.0.0 Available for download. Download the app using your favorite browser and click Install to install the application. Please note that we provide both basic and pure APK files and faster download speeds than APK Mirror. This app APK has been downloaded 1+ times on store. You can also download edu.ucla.oit.idsucla APK and run it with the popular Android Emulators.

IDS UCLA is a data collection tool. It provides mobile-based data capture through inquiry-based surveys and temporally triggered reminders. All captured data are automatically timestamped, geocoded and uploaded to a centralized server for analysis and visualization. IDS UCLA is fully functional without network connectivity and can run on multiple mobile phone platforms.

Through IDS UCLA, students use mobile phones and web services to systematically collect and interpret data about issues important to them and their communities. The goal of IDS UCLA is to strengthen STEM instruction throughout our educational system and to develop innovative methods for educating and engaging students in computational thinking and data analysis.

The core lessons in the IDS UCLA units will be framed around principles of Computational Thinking. Specifically, through Participatory Sensing campaigns, students will identify phenomena to study, consider "designs" for how data are to be collected, and rally the computational resources to execute their plans. Along the way they will grapple with questions related to the nature of data (its representation, formats and protocols for sharing) and of algorithms (rules governing data collection, strategies for analysis). Students will learn about classical themes in Computer Science, from databases to networking, as well as lessons in Statistics, from visualization to basic inference.
 

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