Welcome to MATLAB FOR NON-ENGINEERS: BASIC DATA PROCESSING AND OPTIMIZATION (2021) (F2F and Online)
Description: Research on biomedical engineering topics usually require the acquisition of biological signals or additional instrumentation that provides continuous time series. For non-engineers, processing those types of data can be time consuming and inaccurate if proper processing methods are not used. Therefore, the goal of this course is to present basic processing tools to analyse biological and non-biological signals.
The course is based on Matlab, one of the most powerful software packages for data recording and analysis in Engineering. The course presents a dynamic format, in which students will have practical experiences regarding the use of Matlab during the lectures. Students will be able to learn Matlab programming by accessing basic instructions through video contents recorded by the lecturer. Moreover, some specific tasks and exercises will be performed in the presence of the lecturer.
This format will offer to students the unique possibility to learn how to perform basic and complex operations with the assistant of the lecturer while generating the data analyses scripts. The course has been designed for PhD students without previous experience on programming on Matlab, such as physiotherapists, medical doctors, pharmacists, psychologists, sports science professionals. The ultimate goal of this PhD course is to provide students with basic yet reliable tools to process data for their own PhD projects.
Organizer: Associate Professor Anderson Oliveira, e-mail: oliveira@mp.aau.dk
Lecturers: Associate Professor Anderson Oliveira
ECTS: 3.5
Time: 10, 17, 31 may and 21 June (12.30-16.15)
Place: Aalborg University, Fredrik Bajers Vej 7D, room D2-106 AND Online
Zip code: 9220
City: Aalborg
Number of seats: 30
Deadline: 19 April 2021
Important information concerning PhD courses: We have over some time experienced problems with no-show for both project and general courses. It has now reached a point where we are forced to take action. Therefore, the Doctoral School has decided to introduce a no-show fee of DKK 3.000 for each course where the student does not show up. Cancellations are accepted no later than 2 weeks before start of the course. Registered illness is of course an acceptable reason for not showing up on those days. Furthermore, all courses open for registration approximately four months before start. This can hopefully also provide new students a chance to register for courses during the year. We look forward to your registrations.
Description: Research on biomedical engineering topics usually require the acquisition of biological signals or additional instrumentation that provides continuous time series. For non-engineers, processing those types of data can be time consuming and inaccurate if proper processing methods are not used. Therefore, the goal of this course is to present basic processing tools to analyse biological and non-biological signals.
The course is based on Matlab, one of the most powerful software packages for data recording and analysis in Engineering. The course presents a dynamic format, in which students will have practical experiences regarding the use of Matlab during the lectures. Students will be able to learn Matlab programming by accessing basic instructions through video contents recorded by the lecturer. Moreover, some specific tasks and exercises will be performed in the presence of the lecturer.
This format will offer to students the unique possibility to learn how to perform basic and complex operations with the assistant of the lecturer while generating the data analyses scripts. The course has been designed for PhD students without previous experience on programming on Matlab, such as physiotherapists, medical doctors, pharmacists, psychologists, sports science professionals. The ultimate goal of this PhD course is to provide students with basic yet reliable tools to process data for their own PhD projects.
The course will be divided in four modules
- Introduction: basic operations and file management (importing, loading, saving files)
- Data visualization, matrix manipulation
- Code optimization: reducing processing time and minimizing changes of errors
- Multi-subject dataset management and basic statistics
Organizer: Associate Professor Anderson Oliveira, e-mail: oliveira@mp.aau.dk
Lecturers: Associate Professor Anderson Oliveira
ECTS: 3.5
Time: 10, 17, 31 may and 21 June (12.30-16.15)
Place: Aalborg University, Fredrik Bajers Vej 7D, room D2-106 AND Online
Zip code: 9220
City: Aalborg
Number of seats: 30
Deadline: 19 April 2021
Important information concerning PhD courses: We have over some time experienced problems with no-show for both project and general courses. It has now reached a point where we are forced to take action. Therefore, the Doctoral School has decided to introduce a no-show fee of DKK 3.000 for each course where the student does not show up. Cancellations are accepted no later than 2 weeks before start of the course. Registered illness is of course an acceptable reason for not showing up on those days. Furthermore, all courses open for registration approximately four months before start. This can hopefully also provide new students a chance to register for courses during the year. We look forward to your registrations.
- Teacher: Anderson de Souza Castelo Oliveira