DISA

Centre for Data Intensive Sciences and Applications

PhD-course: Applied Machine Learning 3 credits

2019-08-29

Data mining and machine learning is an area within computer science with the goal of bringing meaning to and learning from data. This course mixes theory and practice, with a focus on applied machine learning where we learn what algorithms and approaches to apply on different types of data.

The course includes the following:
• Supervised learning, different types of data and data processing
• Algorithms for handling text documents
• Algorithms for handling data with numerical and categorical attributes
• Neural Networks
• Deep Learning for image recognition

The course will start on Tuesday October 8th with workshops on October 29th, November 26th
The registration needs to be finalized no later than September 19th 2018 via this link https://forms.gle/Qgk91hk7tTxzp7rs7

If you have any questions please turn to Johan Hagelbäck – johan.hagelback@lnu.se

Research seminar (PhD) – Nico Reski, Wed18Sep, 16:00, D1136V

2019-08-27

Nico Reski will present the progress of his doctoral studies in Computer and Information Science so far, and the work we have been conducting at the VRxAR Labs research group. This involves topics such as virtual reality, 3D user interfaces, immersive analytics, and computer-supported cooperative work. During the second part of the seminar I am looking forward to have a discussion with the audience regarding feedback and future directions of this work.

A warm welcome, no registration in advance is needed

//Diana

12/9: Cory Robinson, “Dr. Google is ready to see you: Privacy dilemmas arising from co-owned personal health data”

2019-08-15

Welcome to the research seminar Dr. Google is ready to see you: Privacy dilemmas arising from co-owned personal health data” 

Heart rate, sleep patterns, and location information: Citizens share their personal data daily through social media and connected devices. Citizens and patients do not clearly know who owns, utilizes or shares their personal data, says Cory Robinson, a social science researcher.
This seminar is held in English!

  • When? Thursday September 12  14:30 – 16.00
  • Where? House Magna, Room Porfyr_Ma1065K, Universitetskajen (the new university buildings by the harbour, Kalmar)
  • Find your way: Norra Kajplanen 6 see karta
  • Register by sending an email to ehalsoinstitutet@lnu.se  (No later than Tuesday September 10th)

The research seminar will also be live streamed so that you can follow from a distance via eHälsoinstitutets website https://lnu.se/ehalsoinstitutet/

This seminar is a part of the research seminar series eHealth (for more information about the full program see https://lnu.se/ehalsoinstitutet/) hosted by eHälsoinstitutet, plattform eHealth and DISA eHealth bjuder in fall 2019.