8:15 am-13:15 pm
After completing the course, student
1- can encode time series as images
2- can explore how image-based deep learning can be used for time series classifications
0.5 ECTS (with pass-fail grading)
Doctoral students in engineering , medical and wellness technology, and students interested in biomedical engineering.
Dr. Nooshin Bahador, nooshin.bahador(at)oulu.fi
(Responsible: Tapio Seppänen, tapio.seppanen(at)oulu.fi)
Language of instruction
Lectures are given in English.
o Introduction to time-series data
o Time series preprocessing
o Analyzing time-series data
o 2D Visualization of time series
o Image-based deep learning for time series classification
Prerequisites and co-requisites
The basic engineering math courses, Matlab programming skills
Lectures 5h, self-study for final project 10 h.
All necessary material will be provided by the instructor.
Last updated: 23.2.2021