The goal of the summer school is to bring computational
to bear on enhancing interaction. This encompasses
modelling of interaction, deriving and engaging with statistical
models of content, automatic learning of preferences and
computer-assisted optimisation of interfaces. Applied machine
learning and appropriate quantitative analysis, suitable for
real-time, closed-loop interactions will be key elements of the
summer school programme.
The course will teach fundamental topics of computational
interaction, including quantitative user modelling, machine
learning, intelligent signal processing and control theory
There will be a strong focus on developing applied skills
through practical sessions
integrated into the school
programme, which will give students practical experience in using
well-grounded, cutting edge analysis, modelling and inference in
engineering interactive systems. Therefore, each topic will center
around the common theme of gestural
, showing how to apply the techniques in
concrete human-centred applications.
The summer school will close with a
More details will be announced
Speakers and Organizers
The speakers include:
Hosts this year are:
school will begin at 9 am on Monday 13th June and close with an
exciting one-day Hackathon on Saturday 18th June. There will be a
mix of lectures and hands-on work, with presentations interleaved by practical development sessions throughout the day.
Every morning we start at 9 am.
- Monday, John Williamson: Machine learning
- Tuesday, Rod Murray-Smith: Dynamics, Sensors and
Shared Control in Human-Computer Interactions
- Wednesday, Per Ola Kristensson: Touch and language
- Thursday, Otmar Hilliges: Gestural interaction
- Friday, Andrew Howes: Computational rationality
- Saturday: Hackathon
Project and Hackathon
The theme of the hackathon will be
gestural interaction. We will provide you access and data of
computer vision sensors and ask you to solve a design problem
using techniques taught during the summer school. The top ranked
projects will be awarded a prize in the closing event.
Experience the Finnish summer in our evening program. More to
The summer school will take place in the Otaniemi campus of
Aalto University (15 min from Helsinki city center). The exact venue
will be announced soon.
Students are requested to bring a laptop to engage in the
interactive portions of the school -- lab machines are not
Aalto University can be easily reached by Bus from the city center.
The nearest airport is Helsinki-Vantaa (HEL).
The summer school is primarily intended for PhD students and Postdocs, but we also welcome advanced Master students to register.
People from academia are prioritized in seating. Participants from the industry will be admitted in order of registration.
Registration happens in 2 phases:
- Early-bird registration is open and will close on 29th of February. After that, participants will be notified about their acceptance.
In the case that there are more applicants than places, the selection will be based on the advance and relevance of their studies or research topic.
- The second registration phase will open in mid March and close as soon as the summer school is full.
Participants will be notified about their acceptance within one week. Selection is based on first come first serve.
Fees & Payment
Upon acceptance to the summer school, participants will receive a separate email including payment details.
|Early-bird: || 300€
|Regular: || 350€ |
Registration fee will include lunch and tea/coffee, and
cover the evening program.
The summer school cannot provide accommodation for attending
students. However, we have reserved 20 rooms in the Aalto Töölö Towers
at a special rate of 329€ for the full week.
Instructions on how to book these rooms are given in your registration confirmation. Pleasen note that the rooms must be booked before 12th of May. First come first serve.
Prerequisites & Credits
The summer school has no special
prerequisites. However, examples and practical exercises will be
given in Python. While
this programming language is easy to pick up, programming skills
in at least one other language, such as Matlab, Java, or C++, are
recommended. In addition, familiarity with Machine Learning, and
basic skills in Linear Algebra and Probability Theory are also
school does not have a mechanism for awarding credits for
participation. A formal certificate of completion will be issued
to students who participate along with a summary of the course
topics and student engagement time. Prospective students may wish
to verify with their own institution if they will award credit for
a certain number of hours of participation, etc.
Summer School Series
This is the second installment of the summer school and part of
an annual series:
2015: University of
2016: Aalto University, Helsinki
2017: ETH Zurich
2018: University of
Contact Antti Oulasvirta: firstname.lastname@example.org
with any questions relating to the summer school in 2016.