CENTER FOR ALGORITHMIC SYSTEMS
MSc Programme ``Computing Science"
Computational Sustainability (MCS)
Computational sustainability deals with the computational models and techniques that can
help reduce the use of (scarce) natural resources, in all domains of activity where
economic and environmental factors meet. It is a new branch of computer science, highly
intertwined with other fields and full of diverse developments that are gradually
revealing the novel dimensions of the field.
conference distinguishes the following subareas in computational sustainability:
natural resources and the environment, economics and human
behavior, energy resources, human built systems and land use, and
climate. In all cases, research concerns complex questions of modeling activities
and ways of planning and decision making such that the use of natural resources and/or
waste production are minimized.
In the seminar we will not deal with the political or policy issues in the domain
of `sustainability', but focus entirely on (a selection of) the computational modelings
and combinatorial optimization techniques that are developing in the field. Here,
computer science and computational thinking make the difference.
The seminar will specifically focus on energy and ICT. We study algorithms and
ICT for smart energy use, as well as energy reduction in ICT. The topics include the
- Capacity planning in energy networks,
- Operational planning in energy networks,
- On-line energy markets,
- Energy-constrained scheduling, and
- Wireless sensor networks.
- Seminar hours:
- Tuesday 13.15-15.00, in: BBL 075.
- Thursday 09.00-10.45, in: BBL 075.
- First meeting: Tuesday April 23, 2013 (in: BBL 075).
- Office hours: by appointment.
- Present: present;
some criteria: criteria.
- Final exam: The grade will be based on the course work (see below).
- Here is the weekly schedule.
Students are required to have a good background in algorithmics, at the level of the MSc
program Computing Science (also Technical AI or GMT). The seminar will require a good
understanding of algorithmic modelling and optimization methods such as LP.
The seminar is part of the MSc program `Computing Science' and is to be taken after
you have completed at least several of the regular courses in the program. If you have
not, see the MSc-program advisor: you may not be admissable to this seminar yet.
Note. If there is considerable interest for the seminar, students may be grouped in two
for the presentations part of the seminar requirement. Due to the seminar format, the
total number of participants is limited to 20.
The seminar is based on recent literature. The papers for study and presentation will be
listed in the
Additional material will be listed in the weekschedule as the seminar develops.
The seminar meets twice a week. After a few introductory lectures by the lecturers,
students are expected to give presentations covering the assigned seminar material
while others are assigned the task of `responder'. Students are expected to give at least
two presentations each, and serve at least twice as responder to other presentations.
Each presentation typically covers a 45-minute part of one seminar session, responding
included. Responders should prepare two questions concerning the presented material and
propose these questions at least one day before a session to the seminar leaders. The
seminar will be in English unless all participating students are fluent
- Term paper
Students are challenged to explore their topics in an active way. Towards the end of the
seminar every participant must write a term paper (in English) of a special topic from the
seminar domain and present an outline of it, typically based on recent research material.
Students are expected to participate in an active way. Attendance is recorded. (Absence
should be reported at <mcs.seminar-- at -- gmail.com>. The participation grade is
lost when the seminar is missed four times or more.)
The grade depends on the given presentations/respondings (50%), term papers
(40%) and active participation (10%).
Recommended for further interest
Further references (groups, institutes, programs)
Further references (articles, documents, journals)
Further references (organizations, conferences)
Further references (companies, events)
Last modified: July, 2013