'Possible state' diaporamas de présentation

The Decision Process in Operations. Clearly define the problems and the factors that influence it Develop specific and measurable objectives Develop a model Evaluate each alternative solution Select the best alternative Implement the decision and set a timetable for completion.

Examining the ATM Requirements Document. A requirements document specifies the overall purpose of a system and what it must do. A small local bank intends to install a new ATM. Automated teller machine user interface. . Cash Dispenser. Deposit Slot.

Chemistry 444. Chemical Thermodynamics and Statistical Mechanics. Fall 2006 – MWF 10:00-10:50 – 217 Noyes Lab. Instructor: Prof. Nancy Makri Office: A442 CLSL E-mail: nancy@makri.scs.uiuc.edu Office Hours: Fridays 1:30-2:30 (or by appointment).

Talk Outline. Background System design Novel reporter system Established modelling techniques Cutting-edge modelling. The Problem. Phenolic compounds. Polycyclic aromatic hydrocarbons (PAH). BTEX compounds. Objectives. 1: Design modular sensor construct 2: Create the construct

From Potts to Tutte and back again... A graph theoretical view of statistical mechanics. Jo Ellis-Monaghan e-mail: jellis-monaghan@smcvt.edu website: http://academics.smcvt.edu/jellis-monaghan. The Ising Model. 1925—(Lenz). Consider a sheet of metal:

Automated Test Generation and Repair. Darko Marinov. Escuela de Verano de Ciencias Informáticas RÍO 2011 Rio Cuarto, Argentina February 14-19, 2011. Why Testing?. Goal: Increase software reliability Software bugs cost US economy $60B/year [NIST’02] Approach: Find bugs using testing

The Cook-Levin Theorem. Zeph Grunschlag. Announcements. Last HW due Thursday Please give feedback about course at oracle.seas.columbia.edu/wces. Agenda. Proof from definition that CSAT is NP -complete (Cook-Levin Theorem) CSAT  P 3SAT so 3SAT is NP -complete.

EMGT 501. Final Exam Due: December 14 (Noon), 2004. Note Summarize your solutions in a condensed way. Send your PPS at toshi@nmt.edu . Answer on PPS that has a series of slides. Do not discuss the Final Exam with other people.

C463 / B551 Artificial Intelligence. Dana Vrajitoru Intelligent Agents. Intelligent Agent. Agent : entity in a program or environment capable of generating action. An agent uses perception of the environment to make decisions about actions to take.

Chapter 11. Risk and Return!!!. Key Concepts and Skills. Know how to calculate expected returns Understand the impact of diversification Understand the systematic risk principle Understand the security market line Understand the risk-return trade-off. Chapter Outline.

Methods of Proof involving . Symbolic Logic February 19, 2001. Outline. Valid Steps Logical Truth Conjunction Elimination Conjunction Introduction Disjunction Introduction Proof by Cases Negation Introduction. Logical Truth.

PHY206: Atomic Spectra. Lectures 5 - 8. Lectures 5-8: Outline. The Schrodinger equation in 3D Introduction: Wave Equations Separation of Variables Radial Schrodinger Equation The Hydrogen Atom Energy Levels, Eigenfunctions Angular Shapes Quantum Mechanics of the Hydrogen atom

Decisions I. Risk and Decision Strategies. 1. Principles of effective decision-making:. How do individual incentives relate to organization goals? When is it worthwhile to get more information? How much weight should you put on future options?

The Use of Data to Improve Theatre Services. Gavin Hookway Service Manager Anaesthetics, ITU (Medical) & Theatres. Theatre Mission Statement

Phylogenetics II. Character-based methods for constructing phylogenies.

Risky business. ECO61 Microeconomic Analysis Udayan Roy Fall 2008. Choices can have unpredictable results. The possible outcomes of a risky decision are called: States of nature. Probability. Each state of nature has a probability Probability is a number between 0 and 1, a fraction

Module A – Decision-Making Tools. Operations Management. PowerPoint presentation for Operations Management Class Updated and extended by Prof. Dedeke. © 2006 Prentice Hall, Inc. Outline. Fundamentals of Decision Making Decision Tables Types of Decision-Making Environments

Z - Notation. Presented By: Adam Attinello CMSC 445. Z – Notation? HUH?!?. First off – its pronounced Zed After the Zermelo-Fränkel set theory It is a set of conventions for presenting mathematical text, chosen to make it convenient to use simple mathematics to describe computing systems.

MURI Review MIT. Eric Feron Joint Work with Jan De Mot, Vishwesh Kulkarni, Sommer Gentry, Tom Schouwenaars, and Vladislav Gavrilets. at the Laboratory for Information and Decision Systems, MIT. Efficiency = . ??. Number of UAVs.

Decision Analysis. Under Risk and Uncertainty. Six Steps in Decision-Making. Six Steps: Example. John Thompson Lumber Company. Thompson Lumber (cont.). Types of Decision-Making Environments. Decision-Making Under Uncertainty. Possible criteria comprise. The Maximax Criterion.