Training

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.

We are promoting thematic experiments such as Plasma Physics, energy conservation and others.

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.

Programme to be followed

The syllabus covers the following topics:

• Remote controlled laboratories (RCL) in context;
• Introduction to e-lab and available experiments;
• Data fitting and analysis tool;
• The physics behind each experiment: an applied e-lab experience
• Introduction to data analysis (FFT, SVD and advanced data fittings);
• Transducers and sensors behind RCLs;
• Experiments automation;
• Impact of video broadcast.

Classes are imminently practical as the assessment, consisting on the exploitation of several remote physical apparatus and interpretation the data through data modelling.

Assessment

The student’s assessment consists in two different tasks:

(i) Each group of two students shall do a presentation based on an experimental chosen apparatus, and show how the apparatus works, how to gather data and study 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 a media content that they find relevant and interesting for that experiment, which can be included in an online wiki-style site.

Local and Timetable

The course will take place twice a year at IST / Alameda campus during Spring and Fall. Classes will take place at Room 7 (pending confirmation), North Garden Pavilion.

Spring 2019: 18 to 22 March

March 2019 Course Timetable

Time	Monday 18/3	Tuesday 19/3	Wednesday 20/3	Thursday 21/3	Friday 22/3
9h30 11h	Introduction to e-lab H. Fernandes	Data analysis R. Coelho	Phyton Lab J. Loureiro	The e-lab framework R. Neto	Presentations H. Fernandes
11h 12h30	Fitteia – an on-line data fitting P. Sebastião	Python Lab L. Gil	Behind the scene M. Santos	IoT - Smart Devices F. Carrola & M. Santos	Presentations H. Fernandes
12h30	Lunch	Lunch	Lunch	Lunch	Lunch
14h 16h	Applied e-lab experience: A. Duarte	Advanced data fittings A. Duarte & J. Loureiro	e-lab data processing R. Cardoso	Presentations elaboration M. Santos	Presentations H. Fernandes
16h 18h	Applied e-lab experience: R. Cardoso D. Neto	e-lab data processing A. Duarte	IST Visit	Rehearsal --	**\/**
18h	Adjourn	Adjourn	Adjourn	Adjourn	Course ends

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Instructors

André Duarte
Bernardo Carvalho
Horácio Fernandes
João Loureiro
Francisco Carrola
Manuel Santos
Pedro Lourenço
Pedro Sebastião
Ruben Cardoso
Rui Coelho
Rui Neto
David Neto