Difference between revisions of "Training"

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==Objectives==
 
==Objectives==
This course is intended to provide to students all the knowledge in how to execute experiments in the e-ab laboratory and to use several techniques and software tools to analyze and process the acquired data.
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This course is intended to provide to students all the knowledge in how to execute experiments in the e-lab laboratory and to use several techniques and software tools to analyze and process the acquired data.
  
 
It is expected that students will acquired basic skills in Octave or MatLab, namely FFT, SVD (singular value decomposition) and advanced fitting techniques. This will be a 1-week course organized within the ATHENS programme.
 
It is expected that students will acquired basic skills in Octave or MatLab, namely FFT, SVD (singular value decomposition) and advanced fitting techniques. This will be a 1-week course organized within the ATHENS programme.

Revision as of 13:24, 20 November 2012

Athens Programme

At IST it is offered some training courses where you can learn more about e-lab in a college environment. If you are an european student, you can apply to come for one week to Lisbon and follow the Athens course.

Please have a look at the ATHENS Programme courseware list under IST6 or check IST ATHENS site.

Hoping to see you in Lisbon.

Objectives

This course is intended to provide to students all the knowledge in how to execute experiments in the e-lab laboratory and to use several techniques and software tools to analyze and process the acquired data.

It is expected that students will acquired basic skills in Octave or MatLab, namely FFT, SVD (singular value decomposition) and advanced fitting techniques. This will be a 1-week course organized within the ATHENS programme.

At the end of the course the students should know:

(i) Run and acquire data from a remote experiment; (ii) Handle data and do their data analysis; (iii) How video is broadcast through a multicast unit; (iv) Understand how a physic apparatus could be converted in a remote laboratory.

The course has a total duration of 35 hours divided in 4 major blocks. Theoretical classes will be laboratory oriented as most of the course will be practice. Some topics will be given as seminars.

Assessment

The student’s assessment consists in two different tasks:

(i) Each group of two students shall do a presentation based on an experimental choosen apparatus, and show how the apparatus works, how to gather data, and all the data analysis and processing done based on the acquired data.

(ii) Also each group of two students shall choose another experimental apparatus and produce media content that they find relevant and interesting for that experiment, witch that can be included in an online wiki-style site.

Local and Timetable

The course will take place at IST from 19 to 23 November 2012 Alameda campus. Classes will take place at Room 7, North Garden.


November 2012 Course Timetable
Time Monday
Tuesday
Wednesday
Thursday
Friday
9h30

11h

e-lab presentation

J. Fortunato

Introduction to Data Analysis I

R. Coelho

Introduction to Data Analysis II

R. Coelho

Transducers and sensors

H.Fernandes

Video Broadcast

T. Pereira

11h

12h30

Embedded control

B. Carvalho

Fitteia – an on-line data fitting tool

P. Sebastião

How to program a Microcontroller

R. Marques

Commercial available sensors

R. Neto

Presentations elaboration

J. Fortunato

12h30 Lunch Lunch Lunch Lunch Lunch
14h

16h

Applied e-lab experience:

Pendulum
Gamma
A. Duarte R. Figueiredo

e-lab data processing

A. Duarte R. Figueiredo

SVD and advanced data fittings

A. Duarte

Presentations elaboration

J. Fortunato

Presentation evaluation

H. Fernandes

16h

18h

Applied e-lab experience:

StatSound
Inertia momentum
J. Fortunato
R. Neto

e-lab data processing

A. Duarte
R. Figueiredo

IST Visit Presentations elaboration

A. Duarte

18h Session ends Session ends Session ends Session ends Session ends

Instructors

Bernardo Carvalho
André Duarte
Horácio Fernandes
Rui Coelho
Pedro Sebastião
João Fortunato
Rui Neto
Tiago Pereira
Ruben Marques
Rui Figueiredo