The talk was about using student educational data analytics and mining (EDM) to find meaningful patterns or paths which to understand how students solve open-ended problems and understand good/bad performing students.
Posts
[Talk] TimescaleDB: Re-engineering PostgreSQL as a Time-series Database by Mike Freedman
This talk is the 7th and the last guest lecture on Time Series databases at Carnegie Mellon University hosted by CMU Database Group.
Recording of the talk on Youtube
This talk is the 6th and the last guest lecture on Time Series databases at Carnegie Mellon University hosted by CMU Database Group.
[TALK] Anonymity in the Bitcoin Peer-to-Peer Network by Giulia Fanti
A simple networking policy called Dandelion, which achieves nearly-optimal anonymity guarantees at minimal cost to the network’s utility
The talk is about the networking policy called Dandelion, which reaches nearly-optimal anonymity.
Bitcoin is a traceable peer to peer network. It composes transaction messages and broadcasts. This creates the problem of user anonymity. Entire transaction histories can be compromised.
Continue reading “[TALK] Anonymity in the Bitcoin Peer-to-Peer Network by Giulia Fanti”
[Talk] QuasarDB: Internals, What Makes a Database Fast? by Eduard Alligand
This talk is the 6th guest lecture on Time Series databases at Carnegie Mellon University hosted by CMU Database Group.
Recording of the talk on Youtube
The talk started describing the notion of the different kinds of benchmarks. The speaker describes that if you have a benchmark which just suits your system, it will show that your system is better than other. He gave an example of a benchmark which shows read/write speeds of QuasarDB and a NoSQL database. NoSQL seems to be very fast on writing (2.1 GB/s) compared to QuasarDB (884MB/s) however actually the NoSQL database is not writing to the disk but writing to the memory. So, it is easy to show your solution is superior to others by showing such benchmarks.
Continue reading “[Talk] QuasarDB: Internals, What Makes a Database Fast? by Eduard Alligand”
[Talk] Connecting Searching with Learning by Kevyn Collins-Thompson
This talk is about connecting the search capabilities to enhance learning. The talk is given by Kevyn Collins-Thompson, Associate Professor of Information and Computer Science at the University of Michigan. After the talk, we had a private meeting with him as well.
Continue reading “[Talk] Connecting Searching with Learning by Kevyn Collins-Thompson”
[Talk] Time Series Analytics for Streaming Big Fast Data by Fintan Quill
This talk is the fourth lecture on Time Series databases at Carnegie Mellon University hosted by CMU Database Group.
Continue reading “[Talk] Time Series Analytics for Streaming Big Fast Data by Fintan Quill”
[Talk] Diversity and inequality in management teams by Stuart Bunderson
This talk was about a review on management teams which concentrates on diversity and inequality characteristics of a team.
Continue reading “[Talk] Diversity and inequality in management teams by Stuart Bunderson”
[Talk] Smooth Storage: A Distributed Storage System for Managing Structured Time-Series Data at Two Sigma by Saurabh Goel
This talk is the third lecture on Time Series databases at Carnegie Mellon University hosted by CMU Database Group.
[Talk] User Privacy in the World of Three Billion Snaps Per Day by Vasil Pihur
This talk was given by Vasil Pihur who is the leader of privacy team at Snapshot. In the talk, he tried to show how important the privacy is for Snapshot and described the techniques they are using to provide privacy to their users.
Continue reading “[Talk] User Privacy in the World of Three Billion Snaps Per Day by Vasil Pihur”
[Talk] Virtual Reality: Its Cognitive Foundations and Practical Application for Information Science Majors by Jeff Jacobson
In this talk, Jeff Jacobson summarizes what his company is doing in Virtual Reality field. The company name is ConstructionVR, a Boston-based firm providing consulting, project management, and workshops in immersive visualization technology for Architecture, Engineering, and Construction (AEC).