CS 346U Exploring Complexity in Science and Technology Instructor: Melanie Mitchell Textbook: M. Mitchell, Complexity: A Guided Tour (Oxford University.

Slides:

Advertisements

Similar presentations

1 CS 4396 Computer Networks Lab General Info. 2 Goal: This course aims at helping students get more insight into how the Internet works and gain hands.

Advertisements

Note Taking How to Get the Most out of Lecture. What’s the Point? Attendance and listening are important, but not enough. You need to retain material.

PS: Introduction to Psycholinguistics Winter Term 2005/06 Instructor: Daniel Wiechmann Office hours: Mon 2-3 pm Phone:

CS 346U Exploring Complexity in Science and Technology Instructor: Melanie Mitchell Textbook: M. Mitchell, Complexity: A Guided Tour (Oxford University.

Central question for the sciences of complexity. How do large networks with.

CAS CS 591 i1 (CS ) Network Security Administrativia.

Logistics: –My office hours: T, Th 4-5pm or by appointment –Class Web page:

Info 203: Social and Organizational Issues of Information Course Introduction: Social Science Perspectives on Information and Information Technology.

Welcome to CS680! Tue Thu 7pm - 8:15pm :-(

Welcome to IIT and cs105!. CS Secs Jon Hanrath SB Office Hours: –MW 8:00 A.M. – 9:45 A.M. –W 5:00 P.M. – 6:00 P.M

Princess Nourah Bint Abdul Rahman University Computer Skills Department (CMP-001) SEMESTER - 2 ( / 1435 – 1436) 1.

Project Management Take a Tour of the Online Course.

PSY 421: Advanced Cognitive Psychology Introduction – Syllabus and Foundations of Cognitive Psychology.

ENVS& 100 Survey of Environmental Science Instructor: Tom Broxson Library 138 Office Hours: 11:00-12:00 M,T,W,Th, F and by appointment

Computer Science Lecture 1, page 1 CS691D: Hot-OS Green Computing Fall 2009 Jim Kurose, Parviz Kermani, Prashant Shenoy UMass Computer Science

CSCI 1301 Principles of Computer Science I

Computer Network Fundamentals CNT4007C

Calculus II Tools for Applied Mathematics. What to Remember from Calculus I The derivative of a function measures its instantaneous rate of change (slope)

BIT 115: Introduction To Programming1 Sit in front of a computer Log in –Username: 230class –password: –domain: student Bring up the course web.

Integrating Cybergogy into Clinical Medical Education Sheryl Santema, MD 2004.

Computer Networks CEN 5501C Spring, 2008 Ye Xia (Pronounced as “Yeh Siah”)

Introduction to Network Security J. H. Wang Feb. 24, 2011.

WEEK-1 PRINCIPLES OF MANAGEMENT BUSN 107, Özge Can.

Complex Systems Engineering CSE - SWE 488 Prof. Mohamed Batouche

Course Introduction Software Engineering

CST 229 Introduction to Grammars Dr. Sherry Yang Room 213 (503)

Welcome to IIT and cs115!.

Introduction to Mobile Computing -CSE 535 Fall 2007 Sandeep K. S. Gupta School of Computing and Informatics Arizona State University.

Computer Science 10: Introduction to Computer Science Dr. Natalie Linnell with credit to Cay Horstmann and Marty Stepp.

SE 2030 Software Engineering Tools and Practices SE 2030 Dr. Rob Hasker 1 Based on slides written by Dr. Mark L. Hornick Used with permission.

GEL 1005: Natural Disasters ► Instructor: Mike Phillips ► Contact   ► put “ GEL 1005 ” in subject line 

Careers in Computer Science What is computer science? Who should major in computer science? What do computer scientists really do? Research Paper Alice.

Database Design and Implementation ITCS6160 & ITCS 8160 Instructor: Jianping Fan Webpage:

“Good morning, and welcome to introduction to chemistry.” Not the real Mr. Cooper.

BA 351 Managing Organizations Instructor: Manolete V. Gonzalez, Phd College of Business Bexl 204B.

“Good morning, and welcome to introduction to chemistry.” Not the real Mr. Cooper.

CS 445/545 Machine Learning Winter, 2012 Course overview: –Instructor Melanie Mitchell –Textbook Machine Learning: An Algorithmic Approach by Stephen Marsland.

Modeling Complex Dynamic Systems with StarLogo in the Supercomputing Challenge

Lecture Section 001 Spring 2008 Mike O’Dell CSE 1301 Computer Literacy.

424 - Honors Biology Text: Dynamic Biology NGSS, Sapling Learning online course Biology, Mader, 10 th edition, McGraw Hill.

Welcome to PN 132!. Instructor Info  Melonie Jones RN, BSN  Office hours and tutoring by appointment  100 building—Faculty Prep Room  Phone number:

TECHNOLOGIES FOR SUCCESS Presented by the Center for Instructional and Learning Technologies (CILT)

ICS202 Data Structures King Fahd University of Petroleum & Minerals College of Computer Science & Engineering Information & Computer Science Department.

Neural Networks and Machine Learning Applications CSC 563 Prof. Mohamed Batouche Computer Science Department CCIS – King Saud University Riyadh, Saudi.

What is Psychology 100? Getting to know you… Texts and lectures… How you will be evaluated… What the course is about… Getting.

MAT 279 Data Communication and the Internet Prof. Shamik Sengupta Office New Building

Complexity John Paul Gonzales Santa Fe Institute // Project GUTS / Supercomputing Challenge Betsy Frederick Silicon Desert Consulting // Project GUTS /

What is Psychology 100? Who are you? Who are we? Of what use is PSY100 to you? Where do we go from here? How to do well in PSY100?

1 CS 4396 Computer Networks Lab General Info. 2 Goal: This course aims at helping students get more insight into how the Internet works and gain hands.

Welcome to Accounting I Professor R. Jason Cade Unit 1 Seminar.

Introduction: What is AI? CMSC Introduction to Artificial Intelligence January 3, 2002.

MAT 279 Data Communication and the Internet Prof. Shamik Sengupta Office 4210 N Fall 2010.

ARCH 481 3D Modeling and Rendering Time: Tu/Th, 10:30 to 11:50 Room:Gould 236 Instructor: Nan-Ching Tai

Introduction: What is AI? CMSC Introduction to Artificial Intelligence January 7, 2003.

ICS 151 Digital Logic Design Spring 2004 Administrative Issues.

Netlogo demo. Complexity and Networks Melanie Mitchell Portland State University and Santa Fe Institute.

PROBLEM SOLVING AND PROGRAMMING ISMAIL ABUMUHFOUZ | CS 170.

Back To School Night. Our Goals For our students to become independent, responsible and respectful leaners. For students to enjoy learning and feel confident.

WELCOME to INTEGRATED SCIENCE ROOM 205 MR SPARKS.

EEL 5937 Multi Agent Systems -an introduction-. EEL 5937 Content What is an agent? Communication Ontologies Mobility Mutability Applications.

Course Overview 1 MAT 279 Data Communication and the Internet Prof. Shamik Sengupta Office 4210 N

CSE 102/ISE 102 Introduction to Web Design and Programming

Principles of Evolution

ENVS& 100 Survey of Environmental Science Instructor: Tom Broxson Library 138 Office Hours: 11:00-12:00 M,T,W,Th, F and by appointment

READING – WRITING MEHMET A.

READING – WRITING MEHMET A.

Lecture 1 - Introduction

ISA 562 Information Security Theory and Practice

BIT 115: Introduction To Programming

CS 474/674 – Image Processing Fall Prof. Bebis.

Presentation transcript:

CS 346U Exploring Complexity in Science and Technology Instructor: Melanie Mitchell Textbook: M. Mitchell, Complexity: A Guided Tour (Oxford University Press)

Note: All slides for a lecture will be available on the class webpage before each lecture:

What are Complex Systems?

Large networks of simple interacting elements, which, following simple rules, produce emergent, collective, complex behavior. What are Complex Systems?

Insect colonies video1 video2

Brains video

Immune system videovideo (+47sec.)

Economies Schweitzer et al., Science, 325, ,

Food webs

Genetic Regulatory Networks

World-Wide Web

Social Networks

a.html Cities

Do these systems have anything in common?

Central question for the sciences of complexity How do large networks with — simple components — limited communication among components — no central control — simple rules of operation give rise to complex (“adaptive”, “living”, “intelligent”) behavior, involving — information processing and computation — complex pattern dynamics — evolution and learning?

Core disciplines of the science of complexity Dynamics: The study of continually changing structure and behavior of systems Information: The study of representation, symbols, and communication Computation: The study of how systems process information and act on the results Evolution: The study of how systems adapt to constantly changing environments

Goals of the Science of Complexity Cross-disciplinary insights into complex systems General theory

Methodologies

Course Details Course web page: Textbook: Mitchell, Complexity: A Guided Tour My office hours: T, Th 4-5 pm

Netlogo We will use Netlogo to illustrate / experiment with complex systems ideas. Part of first assignment is to download Netlogo. Bring laptop to class if possible.

Assignments Weekly homework assignments: reading, writing, Netlogo Term project: –Build simulation or demonstration in NetLogo –Read 2 (or more) published paper related to topic of complexity –Fully document (500 word min.) model in Info Tab –OR –Write term paper on complexity or some other topic discussed pages, double-spaced, including figures and references. Clear topic with instructor before beginning. We will spend time in class learning Netlogo and formulating/working on final projects.

Grading Homework: 50% In-class quizzes: 20% Term project and writeup: 30%

26 Class Rules Cell phones off During class, laptops are for taking notes, not for reading mail, chatting, web surfing, etc. Respectful, fair discussion. Listen and respond to your colleagues.