Hecse - Helsinki Graduate School in Computer Science and Engineering

 
Hecse
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Autumn School 2010
Courses and Events
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Organization
Figsit
 

Education and researcher training in Hecse

For events organised by the Network of Finnish Graduate Schools in Information Technology (Figsit), please see the Figsit pages.

Hecse courses and events

2011

• 12 and 20 January 2011: Making good decisions: Introduction to ethics and social responsibility in research (3 cr), Dr. Henriikka Clarkeburn. Consists of prework (reading and listening to basic material), written pretask (ethic questions in your own research), a two day seminar with individual work in between and a final report. More information in the autumn.

2010

• Tuesdays and Thursdays 20, 24-26 May 2010 at 9(10)-14: Graph Mining - Motivation, Algorithms and Applications, Professor Ehud Gudes, Ben-Gurion University of the Negev Beer-Sheva. Exactum, Kumpula.

2009

• 29-30 October 2009: Hecse autumn school with poster session

• 17-19 August 2009: Workshop on Information Theoretic Methods in Science and Engineering, Tampere

• 17 and 20 August 2009, Kumpula Campus: Making good decisions: Introduction to ethics and social responsibility in research (3 cp), Dr. Henriikka Clarkeburn, Kumpula, a course on research ethics. Consists of prework (reading and listening to basic material), written pretask (ethic questions in your own research), a two day seminar with individual work in between and a final report.

• 16-20 March 2009, Workshop on Functional Data Analysis at Otaniemi Campus, Jim Ramsay, McGill University.

• 2-6 March 2009, A course on graph mining, Christian Borgelt, Kumpula Campus

2008

• 27 October - 1 December 2008: Writing Scientific English (2 cp)

• 20-22 October, 2008: Hecse autumn school with poster session, Seikkailulaakso, Emäsalo, Porvoo

• 20-24 October 2008: T-61.5110 Intensive course on modelling biological networks (5 cr). Several lecturers.

• 24-26 September 2008: Figsit summer school, Turku. Preliminary name: New Trends in Software. Note: The school has been cancelled.

• 25-29 August, 2008: 582643, Programming in Scala (4 cu)

• 4-15 August 2008, Algorithms in Biocomputing, Professor Sami Khuri, TKK, Otaniemi. About 15 hours lectures and project work.

• 2-3 June, 2008: Research Ethics, Dr. Henriikka Clarkeburn, Kumpula

• 19 February 2008, Hecse gettogether, at EMMA, Espoo Modern Museum of Art, Ahertajantie 5, Espoo. Agenda:
  • 16:00 Welcome and registration (restaurant cabinet, ground floor)
  • 16:30 Guided tour in EMMA including small tasks
  • 17:30 All five museums on your own
  • 18:00 The museums close; buffet in the restaurant (ground floor)
  • 19:30 Networking and information
  • 21:00 The opening seminar ends

  Register (see email or ask Greger).

2007

• 7 November 2007 - Special Course in Software Techniques

  Professor Thomas Naps (University of Wisconsin - Oshkosh, US) is visiting Laboratory of Software Technology during fall semester 2007.

  On the second period he gives a special course in software technology (T-106.6200, 3-5 credits). The course will cover a selection of algorithms in computational geometry, parallel processing and applications of data structures and algorithm design techniques in bioinformatics.

  The first meeting will take place at TKK, Tietotalo, Hall T4 on Wednesday November 7th at 12-14.

  For more information, see http://www.cs.hut.fi/Opinnot/T-106.6200/Ads/

• 11 September - 11 October 2007, Research course in Theoretical Computer Science, Professor Alexander Hartmann, Tue & Thu 12-14, room TB353, TKK, Otaniemi

• 27-29 August 2007, Introduction to Complex Networks

  Professor Romualdo Pastor-Satorras (Universitat Politecnica de Catalunya) is visiting the Laboratory for Theoretical Computer Science at TKK for August 2007. As part of his visit he is giving a 6-hour lecture course on the topic:

  Introduction to Complex Networks

  Time: 27-29 Aug 2007, 9:15-11:30 a.m.
  Place: TKK Building T (Konemiehentie 2), Lecture Room T3

  Synopsis

  Many large natural, social, and technological systems can be successfully described within a unified formalism that combines elements of graph theory and statistical physics. This formalism has been developed in the last years, and has already matured to become the so-called science of complex networks.

  In this course we will provide an introduction to the field of complex networks, covering the three main aspects (description, modelling and dynamics) in which it is usually divided. The course is thus structured in three sections covering:

  1. Structure and function of complex networks.

     In this section we will introduce the basic concepts that allow to describe physical systems in terms of complex networks, and how to obtain topological information on those networks at a statistical level. As a paradigmatic example, we will consider in particular the case of the Internet.

  2. Modelling complex networks.

     Most of the networks observed in nature and technology share as a common feature a scale-free nature, character- ized by the presence of power-law distributions. Due to this ubiquity of power-laws, some basic models have been proposed, aimed at understanding their origin. In this section we will review this class of scale-free network models.

  3. Dynamics on complex networks.

     Many systems described as complex networks are the substrate for transport or other dynamical processes (e.g. information packets moving in the physical Internet). The scale-free structure of complex networks imposes in some cases a peculiar phenomenology for those dynamical processes, a fact that will be discussed in this section.

  Bibliography relevant for the lectures:
  • S. N. Dorogovtsev and J. F. F. Mendes, "Evolution of Networks". Oxford University Press (2003)
  • R. Pastor-Satorras and A. Vespignani, "Evolution and Structure of the Internet". Cambridge University Press (2004).

  Additional material related to the lectures can be found on the website (in Spanish):

  http://www.fen.upc.edu/users/romu/fca.html

• 13 - 17 August 2007, Intensive course on modeling biological networks (5 cr), Professor Sami Kaski, TKK, Professor Tommi Jaakkola, MIT. Lectures 10:30-12, 13-14:30, lecture hall T2, Exercises 15-17, Maari-C

• 27 May - 2 June 2007, Summer school in Algorithmic Data Analysis, Helsinki, Finland.

• 28 February 2007, Hecse gettogether at 5-9 pm, Arppeanum, Helsinki, Finland

This file was last modified on 22 Sep 2010.