Download Slide 1

Overview of Network & Complex Systems Courses at IUB
IUB Faculty
Network & Complex Systems Talk, August 29, 2005
Overview









P582 Biological and Artificial Neural Networks by John Beggs, Physics
Artificial Life as Approach to AI by Larry Yaeger, Informatics
INFO-I 400/590 Biologically Inspired Computing by Luis Rocha, Informatics
The Simplicity of Complexity by Alessandro Vespignani & Alessandro Flammini,
Informatics
TEL603: Communication Networks by J. Alison Bryant, Telecommunications
400/590 Structure of Information Environments by Peter Todd, Psychology &
Informatics
CS B538 Computer Networks by Minaxi Gupta, Computer Science
L597 Structural Data Mining & Modeling by Katy Börner, SLIS
L600 Networks & Complex Systems talks Katy Börner, SLIS
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
?

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.
Artificial Life as approach to AI
by Larry Yaeger, Informatics
Informatics I400/I590 Topics course (grad/undergrad), 3 credits
Format: Weekly lecture and discussion. One class project, one presentation, three or four exams (can drop one).
This course covers








Bottom-up design informed by top-down analysis
Definitions and quantifications of life and intelligence
Genetic algorithms
Neural networks
The evolution of learning
Intelligence as an emergent property
Computational ecologies / artificial worlds
Information theory and complexity measures
Students do weekly readings, provide a presentation on one reading, prepare a
project, and participate in class & online discussion. All reading materials are
online, except the required text: Valentino Braitenberg’s Vehicles: Experiments
in Synthetic Psychology
Class Webpage: http://informatics.indiana.edu/larryy/I400.htm
Class eMail list: [email protected]
Overview of Network & Complex Systems Courses at IUB.
INFO-I 400/590 Biologically Inspired
Computing by Luis Rocha, Informatics











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.
Communication Networks
by J. Alison Bryant, Telecommunications
TEL graduate course, 3 credits
Format: Lecture/discussion with 2-3 in-class labs throughout the semester. 2-3
assignments and a course paper.
This seminar is intended to:
 focus on network formulations of selected communication, organizational,
social-psychological, and sociological theories
 review theoretical, conceptual, and analytic issues associated with network
perspectives on communication
 emphasize the influences and consequences of communication patterns,
processes, and content
Text: Monge, P.R., & Contractor, N.S. (2003). Theories of Communication Networks.
New York: Oxford.
This course will be taught Fall 2005 as TEL 603.
Overview of Network & Complex Systems Courses at IUB.
Structure of Information Environments
by Peter Todd, Informatics/Cog.Sci.
Informatics I400/I590 Topics course (grad/undergrad), cross-listed in
Cognitive Science; Tu-Th 1-2:15 pm, Business 209; 3 credits
Format: Discussion of papers; presentations led by students.
This course covers:
 How information is structured in environments that people encounter: cues,
distributions, sequential patterns, etc.
 Ways of describing information patterns
 How decision mechanisms take advantage of information structure
 How people create information structure intentionally and unintentionally
 Structure in social, cultural, and institutional environments
 How to create information structure to aid human decision making
Course structure: Students read papers for each class and come up with discussion
questions for each one, present one or two papers during the term and lead the
discussion around everyone’s questions, and critically evaluate one paper in
writing. Papers will be distributed in class.
Class webpage in OnCourse CL
Overview of Network & Complex Systems Courses at IUB.
The Simplicity of Complexity by Alessandro
Vespignani & Alessandro Flammini, Informatics
INFO 400/590 Topics in Informatics, 3 credits
Format: Two weekly classes and two bring-home
assignments and a final project presentation.
Time: Mon, Wed 1:00p-2:15p in SY 241
16 Students : 10 undergrads (all Info)
6 grads ( 1I+1CS+4PHY)
“…..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
Communication Networks
by J. Alison Bryant, Telecommunications
TEL graduate course, 3 credits
Format: Lecture/discussion with 2-3 in-class labs throughout the semester. 2-3 assignments and
a course paper.
This seminar is intended to:
 review theoretical, conceptual, and analytic issues associated with network perspectives on
social interaction and communication
 focus on network formulations of selected communication, organizational, socialpsychological, and sociological theories
 approach social science from multi-level, multi-theoretical network perspective
 discuss how to use network theory as a starting point for network research
Text:
Monge, P.R., & Contractor, N.S. (2003). Theories of Communication Networks. New York: Oxford.
Tuesdays, 9:30am-12:00pm
RTV 169
This course begins tomorrow.
Overview of Network & Complex Systems Courses at IUB.
CSCI B538: Computer Networks
Minaxi Gupta, Computer Science Dept
CS graduate course (3 credits)
Time/Venue: Tue/Thur 8:00-9:15am, LH 102
Prerequisites: a undergraduate networking/OS course, programming experience
Textbook: Computer Networks: A Systems Approach (Peterson and Davie, IIIrd ed)
Goals: To understand the design principles of the Internet. The course will follow a bottom-up
approach, covering prominent link, network, and transport layer technologies, and the applications
that shape the Internet.
New this year: Internet-wide measurements as class projects, using Planet-lab infrastructure!
Grading:
 Midterm: 15%
 Final: 15%
 Written assignments: 15%
 Projects: 45% (15% for each of the three projects)
 Class participation/summaries: 10%
Class Website: http://www.cs.indiana.edu/classes/b538/
Overview of Network & Complex Systems Courses at IUB.
L597 Structural Data Mining & Modeling
by Katy Börner, SLIS
SLIS graduate course, 3 credits
Time: Tue 1p-3:45p, LI036
Format: Lectures and 4-5 labs. Four class projects and two class presentations.
This course
 Introduces students to major methods, theories, and applications of structural data mining and
modeling.
 Covers elementary graph theory and matrix algebra, data collection, structural data mining, data
modeling, and applications.
Upon taking this course students will be able to analyze and describe real networks
(power grids, WWW, social networks, etc.) as well as relevant phenomena such
as disease propagation, search, organizational performance, social power,
and the diffusion of innovations.
Class Webpage: http://ella.slis.indiana.edu/~katy/L597
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 Informatics Building@IUB, 901 E. 10th St., Room 107
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-fall05/
Overview of Network & Complex Systems Courses at IUB.