Science of Information Summer School
2013 School
2013 School will be held at Purdue University June 4-7 in conjunction with the North American Information Theory Society Summer School. Registration and program details are available on the 2013 North American Information Theory Society Summer School page: http://www.soihub.org/itschool
2012 School
Speakers Posters Pictures
May 30, 31, June 1, 2012
Stanford University, Palo Alto, California
Forty-three post-docs, graduate, and undergraduate students representing twelve universities participated in the second annual Science of Information summer school held May 30 – June 1, 2012 at Stanford University. The two primary purposes of the school were to 1) orient students to current research and approaches to grand challenges in the areas of communications, knowledge extraction from data, and life sciences problems where information theory can provide insights, and 2) foster networking between the students such that they gained knowledge of their peers’ projects and ideas. Eleven CSoI faculty, one post-doc, and one senior research scientist presented surveys and tutorials. Lectures with video/audio/slides are available below in their entirety.
Speakers (alphabetical)
Gill Bejerano, Developmental Biology and Computer Science, Stanford
(video and slides not available)
Todd Coleman, Bioengineering, UC San Diego
Andrea Goldsmith, Electrical Engineering, Stanford
Ananth Grama, Computer Science, Purdue
(video and slides not available)
Olgica Milenkovic, Electrical and Computer Engineering, U of Illinois
Peter Shor, Applied Mathematics, MIT
-
Quantum Shannon Theory
Madhu Sudan, Electrical Engineering and Computer Science, MIT
David Tse, Electrical Engineering and Computer Sciences, UC Berkeley
-
Information Theory: From Communication to DNA Sampling
Sergio Verdu, Electrical Engineering, Princeton
Tsachy Weissman, Electrical Engineering, Stanford
Golan Yona, Stanford
-
Hands-on Biozon Project
Neta Zuckerman, Stanford, CITI
-
Biology for Engineers: Part 1 & 2
Posters
Pictures
Facebook album: http://www.facebook.com/media/set/?set=a.329865107091015.74116.132095200201341&type=3
Flickr (by Stephano Rini): http://www.flickr.com/photos/rinistefano/sets/72157630019099773/
2011 School
The first annual Science of Information Summer School (May 24th - May 27th, 2011) was held on the Purdue University campus, with students and faculty from ten universities participating. Students were introduced to science of information topics through lectures and labs with opportunities to learn new concepts and tools, while integrating the three primary research thrusts of the Center (Communication, Knowledge Management, Life Sciences). Lectures with video/audio/slides are available below in their entirety, and Laboratory exercises are downloadable. We invite summer school participants to continue the discussion via our Facebook page
Lectures:
Each lecture opens in a new Adobe Connect window which requires the Adobe Flash Player.
- Wojciech Szpankowsi, Professor of Computer Science, Purdue University
- Claudio Aguilar, Assistant Professor, Biological Sciences, Purdue University
- Mikhail Atallah, Professor of Computer Science, Purdue University
- Chris Clifton, Associate Professor, Computer Science, Purdue University
- Todd Coleman, Assistant Professor, Electrical Engineering, University of Illinois
- Ananth Grama, Professor, Computer Science, Purdue University
- Randall Julian, President, Indigo Biosystems, Adjunct Professor, Chemistry, Purdue University
- P.R. Kumar, Professor, Electrical Engineering, University of Illinois
- Jennifer Neville, Assistant Professor of Computer Science and Statistics, Purdue University
- Modeling Complex Social Networks: Challenges and Opportunities for Statistical Learning and Inference
(unfortunately, the last minute of audio is missing)
- Modeling Complex Social Networks: Challenges and Opportunities for Statistical Learning and Inference
- Mark Daniel Ward, Assistant Professor, Statistics, Purdue University
- See Labs
- Michael Westmoreland, Professor, Mathematics & Computer Science, Denison University
Labs
- Mark D. Ward's Labs 1-3
- Lab 1: Asymptotic Equipartition Property (html | pdf )
- Lab 2: Sequences and Pattern Matching (pdf)
- Lab 3: Markov Models for Text Analysis
- The Most Popular Node (pdf)
- Network Graphing Lab (zip)
- Discussion on Quantum Mechanics & Quantum Information Theory (Professor Westmoreland's book, contact Professor Westmoreland)
Supplemental Reading:
- Booklet, "Information: A Very Short Introduction" by Luciano Floridi (was mailed to each participant) on amazon.com
- Recommended: "Information Science" by David G. Luenberger on amazon.com
