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[Press Release] Wits Campus Personal Navigator Challenge; Google Cloud Platform

WITS NAVIGATOR CHALLENGE 

Wits University’s Disability Rights Unit (DRU) assists over 1000 students and staff each year. Almost a third of these are physically or visually impaired. While Wits University’s campuses meet very high standards of accessibility for those with disabilities, it remains difficult for some disabled students to navigate around Wits.

The Wits Campus Personal Navigator Challenge aims to develop innovative systems that will increase the independence of students with visual and physical disabilities by providing them with a “personal navigator” around Wits’ vast campuses. The system should be able to safely guide a visually impaired or a physically impaired student from one location to another by using predefined safe accessible routes.

The system could be a simple standalone device that attaches to a walking cane or wheelchair or be a wearable device (e.g. wristband). This unique navigation system may work independently or in conjunction with relevant existing and/or future systems (software, apps, maps, etc.) to provide visual/audible directions and information to the student. To do this the proposed system might use multiple sensors installed at key points on campus which will provide location information and alerts to the base unit installed on a walking cane/ wheelchair/wearable device.

The aim of the Challenge is to assist successful entrants in turning a great idea into a viable tech startup. The top 10 ideas will have an opportunity to work in Wits University’s new startup incubator in the Tshimologong Digital Innovation Precinct in Braamfontein. The winner of the Challenge will spend 4 weeks working in a partner incubator in Canada, USA, Netherlands, UK or India.

The Challenge is open to all – not only Wits Students – and is being run by the Joburg Centre for Software Engineering (JCSE) with sponsorship from the Carl and Emily Fuchs Foundation.

SUBMIT APPLICATION

Click here for more detailed information on the event.

CPD200 DEVELOPING SOLUTIONS FOR GOOGLE CLOUD PLATFOM  
This 2 day instructor-led class introduces participants to Solution Development for Google Cloud Platform. Through a combination of instructor-led presentations, demonstrations, and hands-on labs, students learn how to develop cloud-based applications using Google App Engine, Google Cloud Datastore, and Google Cloud Endpoints.

This class is intended for experienced application developers who want to learn how to migrate applications to the cloud or to create native, cloud-based applications for Google Cloud Platform.

Date: 8-9 May 2017 | Register here 
Date: 26-27 June 2017 | Register here 
Date: 28-29 August 2017 | Register here       
Date: 27-28 November 2017 | Register here

CPO200 Google Cloud Platform for Systems Operations Professionals
This 3 day instructor-led class introduces participants to the implementation of application environments and public cloud infrastructure using Google Cloud Platform. Through a combination of instructor-led presentations and hands-on labs, students learn how to deploy cloud infrastructure components such as networks, systems, and applications. This course is designed to give participants a robust hands-on experience and is primarily lab-focused.

Date: 10-12 May 2017 | Register here
Date: 28-30 June 2017 | Register here
Date: 30 Aug-1 Sept 2017 | Register here
Date: 29 Nov-1 Dec 2017 | Register here 

(CPB100) GOOGLE CLOUD PLATFORM BIG DATA & MACHINE LEARNING FUNDAMENTALS
This 8 hour instructor-led class introduces participants to the Big Data & Machine Learning capabilities of Google Cloud Platform. It provides a quick overview of the Google Cloud Platform and a deeper dive of the data processing capabilities.

Date: 27 March 2017 | Register here
Date: 29 May 2017 | Register here 
Date: 24 July 2017 | Register here 
Date: 02 October 2017 | Register here

(CPB101) GOOGLE SERVERLESS DATA ANALYSIS WITH BIGQUERY AND CLOUD DATAFLOW
Through a combination of instructor-led presentations, demonstrations, and hands-on labs, students learn how to carry out serverless data warehousing, analysis and pipeline processing.

Date: 28 March 2017 | Register here
Date: 30 May 2017 | Register here
Date: 25 July 2017 | Register here
Date: 03 October 2017 | Register here

(CPB102) GOOGLE MACHINE LEARNING WITH CLOUD ML
Through a combination of instructor-led presentations, demonstrations, and hands-on labs, students learn machine learning and Tensorflow concepts and develop hands-on skills in developing, evaluating, and productionizing machine learning models. This class is intended for programmers and data scientists responsible for developing predictive analytics using machine learning. . This 1 day instructor led course builds upon CPB100 and CPB101 (which are prerequisites).

Date: 29 March 2017 | Register here
Date: 31 May 2017 | Register here
Date: 26 July 2017 | Register here
Date: 04 October 2017 | Register here

(CPB200)  GOOGLE BIGQUERY FOR DATA ANALYSTS
This 2-day course provides hands-on skills in ingesting, analyzing, transforming and visualizing data using BigQuery and getting the best performance when using it at scale.

Date: 30-31 March 2017 | Register here
Date: 1-2 June 2017 | Register here
Date: 27-28 July 2017 | Register here
Date: 5-6 October 2017 | Register here

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