PPT-Architecture of Complexity

Introduction Abstractly states some of the common properties that physical biological and social systems have in common Tries to cast some light on how complexity can be found in natures without relating it to any particular field of study. Introduction to Software Engineering. Lecture 2. Duplication of course material for any commercial purpose without the explicit written permission of the professor is prohibited.. Today’s lecture. Programming versus software engineering. swarm.flv. (art. intelligence . swarmites. 1:20). endorphin2.5.flv (2:38). antfarmsimulator.flv. (3:30). for very early. swarmflocking.mp4 (Suzie . swarmites. . 2:36). andiland.mp4 (5:04 min). Warning -. Amanda Jackson. Fronde Systems Group Ltd. Session Code: ARC206. Presentation Outline (hidden slide):. Title: Managing Complexity in a Software plus Services World. Technical Level: All levels. Intended Audience: Developers, Enterprise Architects. Lecture 1: . Intro; Turing machines; . Class P and NP . . . Indian Institute of Science. About the course. Computational complexity attempts . to classify computational . problems. Theophilus Benson (tbenson@cs.wisc.edu). Aditya Akella (akella@cs.wisc.edu). David A Maltz (dmaltz@microsoft.com). Enterprise Networks. Intricate logical and physical topologies. Diverse network devices. Lecture 2. Duplication of course material for any commercial purpose without the explicit written permission of the professor is prohibited.. Today’s lecture. Programming versus software engineering. By: . Artiom. Bell. Bryan Tran. Matthew . Kokidko. Jorge Rivas. Danielle Judd. Architecture of Complexity. Artiom. Bell. Introduction. Abstractly states some of the common properties that physical, biological, and social systems have in common. Toniann. . Pitassi. University of Toronto. 2-Party Communication Complexity. [Yao]. 2-party communication: . each party has a dataset. . Goal . is to compute a function f(D. A. ,D. B. ). m. 1. m. 2. What is the best way to measure the time complexity of an algorithm?. - Best-case run time?. - Worst-case run time?. - Average run time?. Which should we try to optimize?. Best-Case Measures. How can we modify almost any algorithm to have a good best-case running time?. Ian Barnett Collaborating to Obtain Architectural Vision A software architect [and thus the architecture] creates the overall vision and design for the software Dr. Richard N. Taylor, Professor of Information and Computer Sciences Software Architecture Chris “Big horn” Horne, Nolan “N-thug” kelly , Nairn “ BAker ” Tsang, dave “chocolate milk” ryan , sean “whacky hat” boyd , Mark “The whopper” D’Adamo 5x improvement . in system development speed over current . practice. In order to. do this metrics need to be used to synthesize and select the best possible system architecture:. A key element is to choose system architectures and designs that achieve desired performance . It’s no secret that this world we live in can be pretty stressful sometimes. If you find yourself feeling out-of-sorts, pick up a book.According to a recent study, reading can significantly reduce stress levels. In as little as six minutes, you can reduce your stress levels by 68%. Lijie. Chen. MIT. Today’s Topic. Background. . What is Fine-Grained Complexity?. The Methodology of Fine-Grained Complexity. Frontier: Fine-Grained Hardness for Approximation Problems. The Connection.