Welcome to MENELAOSNT Moodle the E-Learning platform of MENELAOSNT
The training offered in MENELAOSNT is highly individual and tuned to the ESRs’ individual qualification needs and the objectives and required basics of their PhD topics.
Based on the assessments during the recruitment process, detailed Personal Career Development Plans (PCDPs) are worked out, signed, and continuously updated between the ESRs and their prospective first and second supervisors. For each ESR these PCDPs describe a set of basic courses to attend and subscribe to as well as a set of transferable skills courses.
In general the training consists of “training through research” in individual PhD projects augmented by network-wide available specialist training courses in the key areas of in-situ, remote 2D/3D exploration, Compressive Sensing, and multimodal information fusion, as well as network-wide events, consisting of the “Annual Fall Presentations”, and a “Midterm Summer School”.
All local training courses are additionally streamed and recorded for offline access for all MENELAOSNT fellows, independently from their current affiliations; using collaborative media structures (e.g., the Moodle System, holding the course materials, e.g. lecture scripts, video streams (live as well as recorded) and further supplementary courses.
The courses will support you in:
- Learning and understanding novel type sensor effects and sensing schemes including all necessary CS-capable interfaces, like graphene-based novel sensors, optical 2D/3D sensors, such as CS-PMD, compressive Terahertz technology for imaging and chemical substance characterization, active and passive bistatic SAR sensors adopting CS, CS-based sensors and sensing networks.
- Learning and understanding the novel paradigmatic framework of CS/CL to provide a universal scientific and backbone of the ETN at all stages of the sensor information chain. This will establish the interfacing link between all the different application projects, between the partners, which jointly work in these projects, and between the doctoral researchers working in the different applications at different institutions at different levels of abstraction.
- Learning and understanding the concept of Information and Information mining: Here we combine the information previously acquired in compressed or coded form from a variety of sensors such as, e.g., SAR, PMD, THz or sonic sensors or X-ray scattering sensors, combining Bayesian inference with the CS/CL framework. Finally, one further information bottleneck is the human perception, requiring sophisticated information visualization tools. Application-specific insight into the sensor data using interactive graphics systems is a generic research topic of the proposed ETN.
The courses are coarsely structured by the institutions who offer them. The following continuously updated table gives a rough overview of the courses which are availabe.
|Semiconductor Device Simulation and Design through CAD tools for 2D/3D image sensors||USC (CCITUS)|
|Design of CMOS Vision Chips as AIC||USC (CiTIUS)|
|Stochastic Models and Estimation Theory||USI (ZESS)|
|Metamaterials for Sensing and Information Processing||UPNA|
|Basics and Fundamentals of Compressed Sensing||USI (ZESS)|
|Synthetic Aperture Radar & SAR Interferometry||USI (ZESS)|
|Advanced Signal Processing for THz Imaging||UPNA|
|Digital Image Processing||SU (CEDA)|
|Millimeter Wave Radar and Signal Processing||FHG (FHR)|
|Cognitive Sensorics||FHG (FHR)|
|PMD and Frontend Technology||pmdtec|
|Two-dimensional Materials for Advanced UV to THz Sensor Concepts||AMO|
|System on Programmable Chip (SOPC) Technology||USI (ZESS)|
|Scientific Visualisation||USI (ZESS)|
|Big data for Earth Observation Data Mining||UPB (CEOSpace Tech)|
|Artificial Intelligence for Computational Sensing||UPB (CEOSpace Tech)|
|Coded Aperture Imaging||UPB (CEOSpace Tech)|
|2D/3D Sensors for High Precision Cartography and Applications||INSITU|
|Methods for Metrological Sensor Validation||INSITU|
|2D/3D Imaging Methods||UVIGO (GEOCEI)|
|Geoprocessing Tools||UVIGO (GEOCEI)|
|From Big Data to Smart Data||DLR|
|Deep Learning and Sensor Coding||DLR|
|Interferometric Processing with GAMMA Software||GAMMA|
|Interferometric Point Target Analysis||GAMMA|