Overview of Network & Complex Systems
Courses at IUB
IUB Faculty
Network & Complex Systems Talk, September 3rd, 2007
Overview
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CSCI P538 Computer Networks by Minaxi Gupta, Computer Science
I590, I400 and I-H400 Systems Biology: A User's Guide by Santiago Schnell, Informatics
INFO-I 400/590 Biologically Inspired Computing by Luis Rocha, Informatics
COGS-Q700 Evolution and Analysis of Brain-Body-Environment Systems by Randy
Beer, Informatics
Sustainable Development Systems by Tom Evans, Geography
S604 The Semantic Web by John Paolillo, SLIS & Informatics
S660 Social Networks in Sociology by Bernice Pescosolido, Sociology
L600 Networks & Complex Systems talks Katy Börner, SLIS
Overview of Network & Complex Systems Courses at IUB.
Computer Networks by Minaxi Gupta,
Computer Science
Fall 2007: CSCI P538 (3 credits)
“Computer Networks”
Time/Venue: Tue, Thu 9:30am-10:45am in GL101
Textbook: “Computer Networks: A Systems Approach”
by Peterson and Davie, 4th edition
The goal of this course is to learn about computer networks. We will do so by understanding how
computer networks work today and why they are designed the way they are. The course will
primarily focus on the Internet but will also cover other past and present network technologies to
put things in perspective.
 The course emphasizes practice. The programming projects are derived from
real-world operational and security issues facing today’s Internet.
Course load: 6-8 assignments, 2 exams, 3-5 projects to be done in groups of two
~20 Students (mostly from CS and Informatics)
 P538 is jointly offered with P438 this year
Overview of Network & Complex Systems Courses at IUB.
Overview of Network & Complex Systems Courses at IUB.
INFO-I 400/590 Biologically Inspired
Computing by Luis Rocha, Informatics
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What is Life?
What is Computation?
Imitation of Life
Artificial Life and Complex Systems
Evolutionary Algorithms
Learning
Collective Behavior
Computer Immune Systems
Bio-inspired Artifacts
Bio-inspired algorithms in Computational Biology
Computing with Natural Means
Web page
http://informatics.indiana.edu/rocha/i-bic
Blog
http://life-inspired.blogspot.com/
Overview of Network & Complex Systems Courses at IUB.
Overview of Network & Complex Systems Courses at IUB.
Overview of Network & Complex Systems Courses at IUB.
The Semantic Web
by John Paolillo, SLIS/Informatics
SLIS L597 Topics In Library and Information Science, 3 credits
Thursdays, 5:45-8:30 PM, LI 002
Format: Lecture/discussion; lab; student presentations.
This course covers:
 Aims and goals of the Semantic Web
 Technologies used in implementing the Semantic Web
 Markup languages (XML, RDF)
 Vocabularies (RDF-S, OWL, FOAF, RSS, etc.)
 Metadata standards (W3C)
 Query languages (RDQL and related)
 Platforms for storage and use of SW data (Sesame, SWI-Prolog)
 Applications of Semantic Web data
 Weblogs, online communities, social networking sites, folksonomies, multimedia, etc.
 Emergent Semantics of Metadata
 What is the ultimate outcome of the adoption of Semantic Web technologies?
Course structure: Readings, exercises in using and processing Semantic Web data, final project and
presentation.
Course syllabus: http://ella.slis.indiana.edu/%7Epaolillo/Teaching/S604f07
Overview of Network & Complex Systems Courses at IUB.
S660 Social Networks in Sociology by Bernice Pescosolido, Sociology
Overview of Network & Complex Systems Courses at IUB.
L600 Networks & Complex Systems talks
Katy Börner, SLIS
SLIS graduate course, 1 credit
Time: Mon 6-7p in the Wells (Main) Library, Room 001
Grading is based on the attendance of 8 talks (sign-up sheets will be provided) and
a 4-5 page write-up that synergizes/aggregates major points made by a subset
of the speakers to be submitted at the end of the semester.
Class Webpage: http://vw.indiana.edu/talks-fall07/
Overview of Network & Complex Systems Courses at IUB.
Other Related Courses that might NOT be
taught in Fall 2007
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Artificial Life as Approach to AI by Larry Yaeger, Informatics
Agent-Based Modeling and GIS by Hamid Ekbia, SLIS (Summer and Fall 08)
P448/P548/M448/M548 Mathematical Biology by James Glazier, Physics (Spring 08)
Social Network Analysis by Stanley Wasserman, Sociology & Psychology
S651 Network Analysis by Stan Wasserman, Statistics, Sociology, Psychological and Brain Sciences
Complex Adaptive Systems by Eliot Smith & Robert Goldstone, Psychology
The Simplicity of Complexity by Alessandro Vespignani & Alessandro Flammini, Informatics
I601 Introduction to Complexity by Alessandro Vespignani & Alessandro Flammini, Informatics
Web Mining by Filippo Menczer, Informatics
Fundamentals of Computer Networks by Beth Plale, Computer Science
Internet Services & Protocols by Minaxi Gupta, Computer Science
I400/I590 (cross-listed in Cognitive Science) Seek and Find: Search Strategies in Space and Time by
Peter M. Todd, Informatics& Psychological and Brain Sciences
P582 Biological and Artificial Neural Networks by John Beggs, Physics
I690 Mathematical Methods for Informatics by Santiago Schnell, Informatics
COGS-Q580 An Introduction to Dynamical Systems in Cognitive Science by Randall Beer,
Cognitive Science, Computer Science, and Informatics at IU
400/590 Structure of Information Environments by Peter Todd, Psychology & Informatics
S604 Structural Data Mining & Modeling by Katy Börner, SLIS
S637 Information Visualization by Katy Börner, SLIS (Spring 08)
Overview of Network & Complex Systems Courses at IUB.
Seek and Find: Search strategies in
space and time
by Peter Todd, Informatics/Cognitive Science
Informatics I400/I590 Topics course (grad/undergrad), cross-listed in Cognitive
Science; Tu-Th 1-2:15 pm, Informatics 107; 3 credits
Format: Discussion of papers; presentations led by students.
This course covers:
 Strategies that humans (and other animals) use to decide where and how to search and
when to stop searching, in a variety of domains including:
 …foraging for food in the wild
 …foraging for information on the Web
 …shopping for a bargain
 …looking for a parking space
 …seeking a job
 …searching for a mate
 Emergent patterns that arise when many individuals look for things at the same time
 Co-adaptation of strategies for searching and strategies for hiding (or being found)
 How computational tools can be built using these ideas to help people do a better job at
finding what they seek.
Course structure: Students read papers for each class and come up with discussion questions
for each one, and research and present a particular topic on search and develop a Wiki
page on that topic. Papers will be distributed in class.
Class webpage in OnCourse CL
Overview of Network & Complex Systems Courses at IUB.
Biological and Artificial Neural Networks
by John Beggs, Physics
P 582: Biological and Artificial Neural Networks, 3 credits
Format: Three weekly classes, regular homework, and a final project presentation.
Meetings: Mon, Wed, Fri 1:25p-2:15p in Swain West 218
Text: Neural Networks, an introduction, by Muller, Reinhardt, and Strickland
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We will first cover the biological details of neurons that are thought to be
computationally relevant. Next we will explore major artificial neural network theories
and models, many of which draw from statistical physics. Finally, we will cover
experimental data from living neural networks and critically evaluate neural network
theories that claim to describe biological phenomena.
Overview of Network & Complex Systems Courses at IUB.
The Simplicity of Complexity by Alessandro
Vespignani & Alessandro Flammini, Informatics
INFO I690 (soon to become I601) 3 credits
Introduction to Complex Systems
Format: Two weekly classes, bi-weekly assignments, final project presentation.
Time: Tue, Thu 9:30a-10:45a in G L101
~16 Students ( from Informatics, but also Phys, Chem., Bio, CS, Math)
“…..The course is meant to provide a set of interpretative tools, both theoretical and
computational, that will help to better describe, model and understand Complexity
as we perceive it today, the final aim being able to see the "unifying picture" beyond the foggy
curtain of peculiaritities that individual complex system may display…..
Overview of Network & Complex Systems Courses at IUB.
FRACTALS
CHAOS
STRANGE ATTRACTORS
COMPLEX
SYSTEMS
COMPUTATION
RECURSIVITY
MODELING &
SIMULATION
EMERGENT
BEHAVIOR
NETWORKS