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Overview of Network & Complex Systems Courses at IUB IUB Faculty Network & Complex Systems Talk, September 3rd, 2007 Slide 2 Overview of Network & Complex Systems Courses at IUB. Overview CSCI P538 Computer Networks by Minaxi Gupta, Computer ScienceMinaxi Gupta I590, I400 and I-H400 Systems Biology: A User's Guide by Santiago Schnell, Informatics I590, I400 and I-H400 Systems Biology: A User's Guide INFO-I 400/590 Biologically Inspired Computing by Luis Rocha, Informatics INFO-I 400/590 Biologically Inspired Computing COGS-Q700 Evolution and Analysis of Brain-Body-Environment Systems by Randy Beer, Informatics COGS-Q700 Evolution and Analysis of Brain-Body-Environment Systems Sustainable Development Systems by Tom Evans, Geography Sustainable Development Systems S604 The Semantic Web by John Paolillo, SLIS & Informatics S604 The Semantic Web John Paolillo S660 Social Networks in Sociology by Bernice Pescosolido, SociologyBernice Pescosolido L600 Networks & Complex Systems talks Katy Brner, SLIS L600 Networks & Complex SystemsKaty Brner Slide 3 Overview of Network & Complex Systems Courses at IUB. Computer Networks by Minaxi Gupta, Computer ScienceMinaxi Gupta 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 todays 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 Slide 4 Overview of Network & Complex Systems Courses at IUB. Slide 5 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/ Slide 6 Overview of Network & Complex Systems Courses at IUB. Slide 7 Slide 8 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/S604f07http://ella.slis.indiana.edu/%7Epaolillo/Teaching/S604f07 Slide 9 Overview of Network & Complex Systems Courses at IUB. S660 Social Networks in Sociology by Bernice Pescosolido, SociologyBernice Pescosolido Slide 10 Overview of Network & Complex Systems Courses at IUB. L600 Networks & Complex Systems talks Katy Brner, SLISNetworks & Complex Systems Katy Brner 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/http://vw.indiana.edu/talks-fall07/ Slide 11 Slide 12 Overview of Network & Complex Systems Courses at IUB. Other Related Courses that might NOT be taught in Fall 2007 Artificial Life as Approach to AI by Larry Yaeger, Informatics Artificial Life as Approach to AI Larry Yaeger 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)Mathematical Biology Social Network Analysis by Stanley Wasserman, Sociology & Psychology Social Network Analysis Stanley Wasserman S651 Network Analysis by Stan Wasserman, Statistics, Sociology, Psychological and Brain Sciences Complex Adaptive Systems by Eliot Smith & Robert Goldstone, Psychology Complex Adaptive Systems Eliot Smith Robert Goldstone The Simplicity of Complexity by Alessandro Vespignani & Alessandro Flammini, Informatics The Simplicity of Complexity Alessandro Vespignani Alessandro Flammini I601 Introduction to Complexity by Alessandro Vespignani & Alessandro Flammini, Informatics I601 Introduction to Complexity Alessandro Vespignani Alessandro Flammini Web Mining by Filippo Menczer, Informatics Web Mining Filippo Menczer Fundamentals of Computer Networks by Beth Plale, Computer Science Fundamentals of Computer Networks Beth Plale Internet Services & Protocols by Minaxi Gupta, Computer Science Internet Services & Protocols Minaxi Gupta 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 I400/I590 (cross-listed in Cognitive Science) Seek and Find: Search Strategies in Space and Time Peter M. Todd P582 Biological and Artificial Neural Networks by John Beggs, PhysicsJohn Beggs I690 Mathematical Methods for Informatics by Santiago Schnell, Informatics I690 Mathematical Methods for Informatics COGS-Q580 An Introduction to Dynamical Systems in Cognitive Science by Randall Beer, Cognitive Science, Computer Science, and Informatics at IU COGS-Q580 An Introduction to Dynamical Systems in Cognitive Science 400/590 Structure of Information Environments by Peter Todd, Psychology & Informatics S604 Structural Data Mining & Modeling by Katy Brner, SLIS S604 Structural Data Mining & Modeling Katy Brner S637 Information Visualization by Katy Brner, SLIS (Spring 08) S637 Information Visualization Katy Brner Slide 13 Slide 14 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 Slide 15 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. Slide 16 Overview of Network & Complex Systems Courses at IUB. The Simplicity of ComplexityThe Simplicity of Complexity by Alessandro Vespignani & Alessandro Flammini, InformaticsAlessandro VespignaniAlessandro Flammini 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.. Slide 17 FRACTALS CHAOS EMERGENT BEHAVIOR NETWORKS MODELING & SIMULATION COMPLEX SYSTEMS STRANGE ATTRACTORS SCALE INVARIANCE ORDER FROM DISORDER COMPUTATION RECURSIVITY COMPLEX ARCHITECTURE