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EECS

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School of Electrical Engineering and Computer Science (EECS)

Welcome to the internal pages for the employees at School of Electrical Engineering and Computer Science (EECS) at KTH. These pages are under construction and will get a more permanent look and content during 2018.

Relevant right now

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MEETING

All employee meeting and fika

Jens Zander and colleagues gave the latest KTH and EECS news in room E1 on the 16th of October.

Introduction, moderator Wiebke Köpp
Part 1 EECS Management at a Glance
Part 2 Stories from EECS
Part 3 The Future, Jens Zander, Wiebke Köpp

See a video recording of the meeting

blog by the Head of School's group

Latest entry

"The academic pyramid", by Lars Nordström, Deputy Head of School with responsibility for faculty development and recruitment.

Read the blog

Software researcher wants to see more transparency

Castor, a research center for software development at KTH, has been inaugurated. Managing director Benoit Baudry wants to see an increased exchange be...

EECS Service Center Q is now open

The new Service Center at EECS has been inaugurated with band clipping by the Head of School.

GDPR – General Data Protection Regulation

GDPR Course for all employees - in Swedish or English!

Internal news for EECS

Changes in IT support at EECS
19 Oct 2018
Report from the All employee meeting
19 Oct 2018
Have your KTH profile picture taken!
15 Oct 2018
Software researcher wants to see more transparency
1 Oct 2018
EECS Service Center Q is now open
21 Sep 2018

Older internal news

Internal events for EECS

22
October

Monday, 11:00

Dissertations Petar Mrazovic, Software and Computer Systems Crowdsensing-driven Route Optimisation Algorithms for Smart Urban Mobility
24
October

Wednesday, 11:00 - 12:00

Seminars and Lectures Damla Turgut Ad hoc, sensor, IoT, fog... - past, current and future research challenges of networking without (heavy) infrastructure
25
October

Thursday, 13:15 - 15:00

Seminars and Lectures Ylva Jansson, CST/EECS/KTH Receptive field based representations for video-analysis and how to build invariant deep neural networks

More upcoming events

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