If you are interested, please apply as soon as possible. The deadline of letter of intent to join the activity is on November 22, 2007. Please read on for more details....
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The University of the Philippines System (UP - Baguio and UP - Diliman) and the De La Salle Philippines (DLSU – Manila and DLS - Canlubang) in a cooperative venture with Swiss Federal Institute of Technology, ETH Zurich, Department of Computer Science under the auspices of the Third Philippine-Swiss Information Technology School are organizing a post–graduate short course as part of a lecture series in Computer Science on the topics:
* Data Structures,
* Probability and Optimization
* Machine Learning and Applications
* Information Search and Retrieval
The objective of the lecture series is to further the professional education of research students and instructors of Computer Science at Universities in the Philippines.
Date and Venue: January 7 – 11, 2008. Iskolar ng Bayan Building, UP Baguio, Governor Pack Road, Baguio City 2600
Course Lecturers:
- Prof. Joachim Buhmann, ETH Zurich
- Dr. Thomas Hofmann, Google Research, Zurich
- Prof. J. Nievergelt, ETH Zurich
- Peter Orbanz, ETH Zurich
Lecture Series Schedule
Jan 7, 2008 Monday
Dr. J. Nievergelt (jn@inf.ethz. ch)
Department of Computer Science, ETH Zurich
Topics: Basic Concepts of Data Structures, Probability and Optimization
Jan 8–9, 2008 Tuesday – Wednesday
Professor Joachim Buhmann (jbuhmann@inf. ethz.ch)
Institute of Computational Science, ETH Zurich
Topics: Machine Learning and Applications (introduction of the Bayes optimal classifier, linear classifiers and the perceptron, margin idea and support vector machines, idea of kernels, k-means, clustering and the EM algorithm, clustering for relational data)
Jan 10-11, 2008 Thursday –Friday
Dr. Thomas Hofmann (thofmann@google. com)
Google Research, Zurich
Topics: Information Retrieval and Search (text processing, indexing, and compression, retrieval models (vector space and probabilistic), automatic text categorization, hyperlink and citation analysis, recommender systems and collaborative filtering, learning to rank from implicit user feedback, information extraction (optional))
Application Procedure
Slots are limited so preference will be given to those applicants who are involved or will be involved in either teaching Machine Learning or Information Retrieval or conducting research in these areas.
Interested applicants must submit their latest CV, which should include
- academic credentials –degree(s), school/university where the degree was obtained, date;
- teaching experience – courses taught, school/university where the courses were taught, and level of courses taught (undergraduate/ master's/ doctorate) ,
- research experience – positions held, research publications, undergraduate and graduate theses, and thesis supervision. Any pertinent special skills and other relevant professional qualifications must also be included.
chuacl@dlsu. edu.ph on or before November 22, 2007 and ask your Chair or Dean to separately e-mail a letter of endorsement.
To qualify as participants, applicants must get the endorsement of their Chair or Dean.
Registration Fee: A registration fee of Php 2,500 to cover food and materials for the
lectures and hands-on sessions will be charged. Pay to De La Salle University – Manila if you will pay in cheque.
Accommodation in Baguio
UP Baguio Dormitory (priority for Mindanao and Visayas participants)
Hotels and inns
For more information on available accommodation in Baguio, contact: aurea.perez@ up.edu.ph or carlo.raquel@ up.edu.ph
For further information, please contact:
Caslon Chua, Ph.D.
Dean, College of Computer Studies, DLSU-Manila
e-mail : chuacl@dlsu. edu.ph
Tel : (02) 536-02-76
Fax : (02) 536-02-78
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