Course
Knowledge
Skills
Competences
‘learning
outcomes’ means
statements of what a
learner knows,
understands and is
able to do on
completion of a
learning process,
which are defined in
terms of knowledge,
skills and
competence;
‘knowledge’ means
the outcome of the
assimilation of
information through
learning. Knowledge
is the body of
facts, principles,
theories and
practices that is
related to a field
of work or study.
‘skills’ means the
ability to apply
knowledge and use
know-how to complete
tasks and solve
problems.
‘competence’ means
the proven ability
to use knowledge,
skills and personal,
social and/or
methodological
abilities, in work
or study situations
and in professional
and personal
development
Microsystem design
Advanced
knowledge in
microsystem
construction
functioning and
fabrication
technologies
Ability to design at
least two different
types of
microsystems using
specialised
software and their
characterisation
Manage complex
technical and
professional
activities and
projects for
microsystem design
and test, taking
responsibility for
decision-making in
unpredictable work
contexts.
Design of
Nanoscale MOS
ICs
Highly specialised
knowledge on
CMOS integrated
circuit layout, basic
technology, IC
design and
modelling and
specific physical
effects in short
channel transistors.
Ability to design
submicron CMOS
ICs using
CADENCE and
solving problems
with modelling of
submicron devices
behaviour.
Demonstrate
innovation,
autonomy,
scholarly and
professional
integrity and
sustained
commitment to the
development of
new modelling and
design rules at the
forefront of work or
study contexts
including research
in nanoelectronics
design.
Scanning probe
microscopy
applications for
nanoelectronics:
actuators and
sensors for nanoand
microdisplacements
Knowledge on the
fundamentals of
scanning-probe
microscopy and of
their place in the
present
development of
nanoscience and
nanotechnology.
Ability to select the
suitable scanning
force microscopy
technique and to
choose the working
mode in function of
the characterisation
needs.
Manage the use of
scanning force
microscopy
technique
according to the
sample specificities
and nature.
Nanoscale sensing
elements and
device production
Carbon nanotubes
for micro- and
nanoelectronics
applications and
sensors
Knowledge on the
instrumental
components of
scanning tunnelling
microscopy and of
atomic force
microscopy, as well
as on actuation and
detection methods
for nano-and
microdisplacement.
Ability to explain
and to chose
preparation
methods for probes
and samples; to
identify and choose
main scanning
parameters in a
typical SPM user
interface, and to
calibrate a sensor
or actuator for
nano- and
microdisplacement.
Ability to manage
and start practical
work with an STM
or AFM instrument,
to detect typical
artefacts in
scanning, and to
perform basic data
analysis.
Knowledge of the
basics of quantum
mechanics useful
for the design and
use of
nanodevices, in
particular
nanosensors.
Knowledge of the
possible device
production
techniques of
nanosystems, in
particular of
nanogap
realization.
Knowledge on the
structure and
properties of
Carbon Nanotubes,
their synthesis and
electrode
applications,
principle of field
emission cathodes
and CNT composite
electrode
applications.
Skill in designing
nanosystems for
sensing and of the
choice of the
needed interfaces
for reading the
signals and
transferring the
information from
the nanolevel to the
user interface,
passing through
microcircuitries.
The students will
reach a sufficient
knowledge and skill
for being able of
choosing novel
solutions in terms
of nanodevices and
nanosensors, with
the capability of
guiding the
strategic choices
for the the system
level design.
Deduce the
electronic
properties from the
CNT chirality.
Estimate field
emission currents.
Choose and
describe CNT
growth method.
For a CNT
application as cold
cathode, able to
manage and start
working on an
experimental set-up
for prototype device
fabrication (e.g. at
HEIG-VD). For
CNT composite
electrode
applications, able to
manage and
characterise a
prototype device for
biosensors (e.g. at
POLITO).
Introduction to
organic thin film
devices
Knowledge on the
physics and
working principle of
organic thin film
devices (organic
light emitting diodes
and organic solar
cells).
Knowledge about
device architecture
and role of active
layer and charge
transport layers.
Device
caracteristics of
photovoltaic cells.
Use of thin film
deposition
methods: spin
coating and layer
homogeneity.
Experimental
analysis of film
thickness.
Measurement of
device
characteristics of a
solar cell.
Able to manage the
set-up of basic
laboratory
equipment for
prototype design of
Organic Thin Film
Devices. Able to
decide on the
adjustment of spin
coating parameters
for improving thin
film homogeneity.
Draw conclusions
from device
characteristics.
Impact of
nanometric effects
on ULSI system
performance
Advanced
knowledge of the
ultra deep sub
micron effects and
their impact on
circuits behaviour,
performance and
design
methodologies
Understanding of
how and how much
process, geometry
and design
parameters impact
CMOS and beyond
CMOS device
features, and their
related circuit
performance
Nanomaterials
Advanced
knowledge of a field
of materials for
nanoelectronics
and their use in
nanodevices
fabrication,
involving a critical
understanding of
theories and
principles of their
physical and
chemical
properties.
Advanced skills,
demonstrating
mastery and
innovation in the
use of new
materials for the
fabrication of new
submicronic
devices.
Show the skill to
analyze and cope
with the complex
criticalities of
devices used in
modern ULSI
circuits, to estimate
the expected
behaviour and
figures, to
autonomously
suggest solutions
for reducing the
impact of
technological nonidealities on circuit
behavior
Manage complex
technical and
professional
activities
and projects in
using new materials
for nanoelectronics,
taking responsibility
for decision-making
in unpredictable
work contexts.
Photomasks Data
Preparation
Understanding the
purpose of the
mask data
preparation steps
for the mask
making process.
Ability to deal with
the different
technical
constraints of all
the steps and tools
needed in the mask
data preparation
Able to monitor and
schedule the whole
mask data
preparation flow.
flow with concern
on cost and time.
Definitions
For the purposes of the RECOMMENDATION OF THE EUROPEAN PARLIAMENT AND OF THE COUNCIL
of 23 April 2008 on the establishment of the European Qualifications Framework for lifelong
learning, the definitions which apply are the following:
(a) ‘qualification’ means a formal outcome of an assessment and validation process which is
obtained when a competent body determines that an individual has achieved learning outcomes to
given standards;
(f) ‘learning outcomes’ means statements of what a learner knows, understands and is able to do
on completion of a learning process, which are defined in terms of knowledge, skills and
competence;
(g) ‘knowledge’ means the outcome of the assimilation of information through learning.
Knowledge is the body of facts, principles, theories and practices that is related to a field of
work or study. In the context of the European Qualifications Framework, knowledge is described as
theoretical and/or factual;
(h) ‘skills’ means the ability to apply knowledge and use know-how to complete tasks and solve
problems. In the context of the European Qualifications Framework, skills are described as
cognitive (involving the use of logical, intuitive and creative thinking) or practical (involving
manual dexterity and the use of methods, materials, tools and instruments);
(i) ‘competence’ means the proven ability to use knowledge, skills and personal, social and/or
methodological abilities, in work or study situations and in professional and personal
development. In the context of the European Qualifications Framework, competence is described in
terms of responsibility and autonomy.