Seminars
Mathemetical Foundations of Deep Learning
Date: December (exact date to be defined) Place: To be defined Abstract
Electrochemical Biosensing
Schedule: the short course on electrochemical sensing will be given in the time period of 5.-7.11.2019 (13:00-16:00, each day). Location: To be informed later by email.
THz circuit design for communications and sensing
Host: Prof. Aarno Pärssinen (CWC-RT) Location: University of Oulu Tue 3.9. 08:00-09:45 IT11310:00-11:45 TS12612:15-14:00 TS101
Deep Learning for the Physical Layer
(Place and time: to be defined) Abstract
Wireless Applications in 5G and Beyond
Wireless Applications in 5G and Beyond (3 days) 3 ECTS 4.4 at 14.15-17 in TS127 Abstract
Macro, micro and feature based recognition of whole body images
(Date: to be defined) Abstract
Moving from understanding to design of methods, tools and techniques – Combining ethnographic studies with action and design research.
Tue 4.2: 09:00-14:00 at TS134 and 14:00-17:00 at TS101 Wed 5.2: 09:00-17:00 at TS136
Photovoltaic solar cells and materials
The course will be held in September 2019 (date to be defined) Abstract
Principles and Design of IoT Systems: From Devices to Data Analytics
Hours: Lectures: 12.–16.8. & 19.–21.8. at 09:00–12:00 (with a 15-minute break)Practical sessions: 12.–16.8. & 19.–22.8. at 14:00–16:00
Liquid cooling for telecom equipment
Abstract
HEVC based video coding concepts and challenges in video communication
Dec 3 and Dec 4: 9.00 - 12.00, 13.30 - 16.30 in TM107. Dec 5: 08.00 - 11.00, 12.00 - 15.00 ( or earlier) in TM107. Need to complete an assignment for credits.
Chemical Sensor Technologies; from research to commercialization
5th November at 10:15 – 14:00 o’clock Room TS3110 6th November at 10:15 – 12:00 o’clock Room TS3110
Polyelectrolyte multilayer film as a platform for developing sensors
Time: 10:00 - 14:00 (both days) Place: TS335 (both days) Credits: 2-3 ECTS (including written exam)
Development of the Artificial Intelligence methods for the in vivo determination of tissue optical properties
Date: Mon 5.11 (TS335) - Tue 6.11 (TS287)Time: 10:00 - 14:00 (both days)
Transmitter Design for Next Generation Wireless Communication Systems
Place: VTT auditorium, Kaitoväylä 1 (Note the location! Remember to take your ID card/passport with you to prove your identity!)
Visual Recognition using Large-Scale and Weakly-Labelled Data
The number of lecture hours: 16 hEstimated ECTS credits: 3 ECTSThe host: Abdenour Hadid, Associate Professor, CMVS, Oulu
Face Analysis for Emotion AI -Matti Pietikäinen
Face Analysis for Emotion AI (based on the King-Sun Fu Prize Speech at ICPR 2018, Beijing, China, August 21, 2018) Abstract:
Monte Carlo Statistical Methods for Scientific Computing
Monte Carlo Statistical Methods for Scientific Computing
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