CIS sensing and graphs week
Graphs are a powerful abstraction to capture relationships and interactions from collected data sets. As the volume of generated data increases exponentially, there is a need for parallel computing approaches that achieve substantially higher scalability.
The CIS sensing and graph week will present state-of-the-art approaches for processing large amounts of data using parallel programming frameworks. In particular, we will explore how to create and analyse graphs based on large-scale data sets.
Eng 324, Engineering building, Mile End Campus, Queen Mary University of London
Informatics Teaching Laboratory (ITL) Top floor, Mile End Campus, Queen Mary University of London
| 11 April - Monday | |||
| 13:30-14:15 |
Registration Where: Eng 324 |
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| 14:15-14:30 |
Opening remarks Where: Eng 324 |
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| 14:30 -15:30 |
Scaling IoT using OpenData Yodit Stanton is a data engineer and founder of OpenSensors.io, the Internet of Things startup providing public and private infrastructure for real-time data. Yodit will make the case that 'smartness' and innovation of cities will come from community driven projects based on Open Data rather than large top down initiatives. Often the conversation around smart cities neglects to think about the needs of actual people, we will look at how projects in the UK and US are solving problems that citizens care about. Where: Eng 324 |
Yodit Stanton |
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| 15:30-18:00 |
Sport activity - indoor climbing/bouldering A one hour and a half of climbing/bouldering lesson by qualified Coaches at the Mile End Climbing Wall. A pair of thin socks and comfortable clothing are required for this activity. Meeting point: outside ITL building |
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| 12 April - Tuesday | |||
| 10:00-12:30 |
Introduction to Big Data This lecture will deal with large-scale data processing, challenges in parallel computing and the Resilient Distributed Datasets (RDD) dataflow computation model. Videos of the talk: [part 1] [part 2] Where: ITL Top floor meeting room Coffee break: 11:00-11:30 |
Felix Cuadrado
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| 14:00-17:00 |
Hands-on on Big Data processing Practical activity supervised by instructors. Implementation of the Big Data notions learnt during the morning's session. Where: ITL Top floor |
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| 13 April - Wednesday | |||
| 10:00-12:30 |
Introduction to Graph Analysis Felix Cuadrado During this talk, we will explore the fundamentals of graph theory and graph analysis, and the definition of parallel graph algorithms. Videos of the talk: [part 1] [part 2] Where: ITL Top floor meeting room Coffee break: 11:00-11:30 |
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| 14:00-17:00 |
Hands-on on Graph Analysis 1 Practical activity supervised by instructors. Implementation of the Graph Analysis notions learnt during the morning's session. Where: ITL Top floor |
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| 14 April - Thursday | |||
| 10:00-12:00 |
Hands-on on Graph Analysis 2 Practical activity supervised by instructors. Completion of the Graph Analysis implementations. Where: ITL Top floor |
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| 12:00-13:00 |
Panel discussion wrapping-up the hands-on sessions Where: ITL Top floor meeting room |
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| Hands-on instructors | |||||
Jie Deng
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Nasreddine Fergani
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