1. Overview of Network & Complex Systems Courses at IUB
IUB Faculty
Network & Complex Systems Talk, September 4th, 2006

2. P582 Biological and Artificial Neural Networks by John Beggs , Physics
Overview
S651 Network Analysis by Stan Wasserman, Sociology, Statistics, Psychological and Brain 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 Science
P582 Biological and Artificial Neural Networks by John Beggs , Physics
L597 (Section 22299) The Semantic Web by John Paolillo, SLIS & Informatics
I601 Introduction to Complexity by Alessandro Vespignani & Alessandro Flammini, Informatics
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
L600 Networks & Complex Systems talks Katy Börner, SLIS
Overview of Network & Complex Systems Courses at IUB.

3. 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.

4. 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
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.

5. The Semantic Web by John Paolillo, SLIS/Informatics
SLIS L597 Topics In Library and Information Science, LI 002; W 5:45-8:30; 3 credits
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:
Class wiki:
Overview of Network & Complex Systems Courses at IUB.

6. INFO I690 (soon to become I601) 3 credits
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.

7. COMPLEX SYSTEMS FRACTALS CHAOS MODELING & SIMULATION EMERGENT BEHAVIOR
STRANGE ATTRACTORS
COMPLEX
SYSTEMS
COMPUTATION
RECURSIVITY
ORDER FROM
DISORDER
MODELING &
SIMULATION
SCALE INVARIANCE
COMPLEX
ARCHITECTURE
EMERGENT
BEHAVIOR
NETWORKS

8. L600 Networks & Complex Systems talks Katy Börner, SLIS
SLIS graduate course, 1 credit
Time: Mon 6-7p in the Wells 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:
Overview of Network & Complex Systems Courses at IUB.