Difference between revisions of "Training"
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==Programme to be followed== | ==Programme to be followed== | ||
− | + | The syllabus covers the following topics: | |
* Remote controlled laboratories (RCL) in context; | * Remote controlled laboratories (RCL) in context; | ||
− | * Introduction to e-lab and | + | * Introduction to e-lab and available experiments; |
* Data fitting and analysis tool; | * Data fitting and analysis tool; | ||
* The physics behind each experiment: an applied e-lab experience | * The physics behind each experiment: an applied e-lab experience | ||
Line 31: | Line 31: | ||
* Transducers and sensors behind RCLs; | * Transducers and sensors behind RCLs; | ||
* Experiments automation; | * Experiments automation; | ||
− | * Impact of video broadcast. | + | * 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== | ==Assessment== |
Revision as of 18:23, 21 December 2017
Contents
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.
Fall 2017: 13 to 17 November
Time | Monday, 13 |
Tuesday, 14 |
Wednesday, 15 |
Thursday, 16 |
Friday, 17 |
---|---|---|---|---|---|
9h30
11h |
Introduction to e-lab
H. Fernandes |
Plasma probes J. Loureiro |
The e-lab framework
R. Neto |
Commercial available sensors R. Neto |
Presentation evaluation
H. Fernandes |
11h
12h30 |
Fitteia – an on-line data fitting
P. Sebastião |
Applied e-lab experience: Langmuir probe |
Advanced data fittings A. Duarte |
Behind the scene J. Fortunato |
Presentations evaluation H. Fernandes |
12h30 | Lunch | Lunch | Lunch | Lunch | Lunch |
14h
16h |
Data analysis I
B. Carvalho |
Data analysis II
A. Duarte |
e-lab data processing
A. Duarte |
Presentations elaboration
J. Lopes |
Presentation evaluation
H. Fernandes |
16h
17h30 |
Applied e-lab experience:
J. Loureiro |
e-lab data processing J. Loureiro |
e-lab Visit
J. Fortunato |
Presentations elaboration J. Lopes |
**\/** |
17h30 | Adjourn | Adjourn | Adjourn | Adjourn | Course ends |
Instructors
André Duarte
Bernardo Carvalho
Horácio Fernandes
João Fortunato
João Loureiro
Josué Lopes
Pedro Sebastião
Rui Neto