Course Announcement
As academic courses are further boosting qualified professionals
to fit the challenges of a knowledge-based society that is
relying more extensively on our sustainable relationship with
the earth and oceans, there is a growing need to qualify the
skills of students in the efficient handling of data. This
is the evolving scenario that elevates the value of data, in
particular that related to the sea, and its transformation
into information and knowledge in the context of the digital
age, spearheading the evolution of marine services to match
stakeholder demands, and boosting research and innovation
applications, such as within the ambit of Blue Growth and
Mission Ocean – the European Commission’s initiatives to further
harness the potential of Europe’s oceans, seas and coasts, for
sustainable development, jobs and value.
This is the background against which SEA-EU is offering a joint
intensive course engaging some of its best expert academics
from its member universities to deliver a training programme
dedicated to data harvesting and harnessing. If you are a
student pursuing to complete your undergraduate studies, doing
research (MSc or PhD) based on the specialised use of
data, or you are already at work and need to empower your skills
in data science, then this is your opportunity to sharpen your talents and
learn in one spot how to search, understand, handle and exploit
data in one single dedicated formative intensive course. Through
this course, SEA-EU is showcasing the benefit of merging academic
excellence across the alliance universities to offer students
a unique setting for a cross-university experience, through
a joint delivery, with exchange and teamwork between students
from different European countries in a common shared academic
environment.
The course tackles the full range of data types, covering the
different data acquisition and generation platforms (e.g.
observations and models), and including the merging of data
of diverse nature (e.g. socio-economic and ecological) including
non-scientific and qualitative data (eg resource tracking and
mapping, demography, performance statistics, etc).
The course adopts a practical and hands-on approach throughout
so that concepts and methods are delivered through examples
and real applications, especially those related to the marine
and maritime contexts. The delivery of the course is expected
to apply a blended approach where students would be offered
options with a mix of online and physical delivery. The course
is planned in three linked but distinct components (introductory,
intensive and project phases), for a total of 50 hours spread
over a period of two months, October/November each year.
The execution of the course is done jointly by the partner
universities and coordinated by a
Board of Studies
supported
ex ufficio by Prof. Aldo Drago,
(
aldo.f.drago@gmail.com)
who had started the course concept and continues to support its development.
The hosting and organisation of the intensive practical week
will be done on a roster basis, with the host/lead university rotating
every year between the participating universities. For the academic year
2022/23 the University of Cadiz is the host under the coordination of
Prof. Alfred Izquierdo Gonzalez (
alfredo.izquierdo@uca.es).
The course does not carry tuition fees and is open to any candidate
(even students outside SEA-EU and from non-academic institutions)
who satisfies the criteria for eligibility to apply to the course.
Please refer to the application section for more details.
Applicants who are coming from the SEA-EU alliance universities can avail
of ERASMUS+ funding through a dedicated Blended Intensive Programme
(BIP) and need to apply accordingly. This will enable them to get
support to attend the practical week in Cadiz. Other students will
be able to follow an online version of the practical that will run
separately in February/March 2023.
For more info on the course please follow the details in the
course website
,
contact the members of the
Board of Studies
or the Course Secretariat through Audrey Zammit
(
audrey.zammit@um.edu.mt).
The detailed programme and timetable will be issued in September.