PPT-Modelling & Datatypes

John Hughes Software Software Programs Data Modelling Data A big part of designing software is modelling the data in an appropriate way Numbers are not good for this We model the data by defining . The equal ity types of Cor ML can be xpr essed in this form Given suc type xpr ession with fr ee this paper shows way to epr esent the onehole conte xts for elements of within elements of to ether with an oper ation whic will plug an element of into OSATE. . versus . STOOD. Farhana Rahman, Carleton University. Yu Sun, University of Ottawa. Outline. Introduction. Scenario & Background. Architecture Analysis & Design Language (AADL) . STOOD & OSATE. OPeNDAP. Project. Update and Demo. MuQun. Yang and . Hyo. -Kyung Lee (The HDF Group). James Gallagher (. OPeNDAP. , Inc.). OPeNDAP Review . . A software framework that allows simple access to remote data. Modelling for Engineering Processes. Peter Hale UWE. University of the West of England, Bristol. Abstract. Problem. -. Enable translation of human problems/representation to computer models and code.. *Source: Thomson Reuters, . Datastream. . Analysis PwC . The . Datastream. . Worldscope. (DW) . datatypes. are a set of . Datastream. Global Equity index and security valuation . datatypes. using . Name: _______________________________. TG: _________. Class: ____________________. When you see the POP symbol it means you have a chance to get to the next NC level and the teacher will be checking your work for progress.. Ambrosia. plants and pollen: a tool to measure management success. C. . Ambelas. Skjoth. 1. , B. Sikoparija. 2. and M. Smith. 3. L. Cecchi. 5. & G. Karrer. 5. &. Many more from SMARTER. 1. . 3.5. Demonstrate understanding of how technological modelling supports technological development. Aims for this session. To share key messages for technological modelling level 3. T. o develop understanding of how . John Hughes. Software. Software = Programs + Data. Modelling Data. A big part of designing software is . modelling the data. in an appropriate way. Numbers are not good for this!. We model the data by defining . Day 2. :. Session 7. Social Science, Different Purposes and Changing Networks. Discussion: the . Social Science view of ABM. 2-Day Introduction to Agent-Based Modelling, Manchester, Feb/Mar 2013, slide . modelling. for public health decision-making. John Edmunds. , Jess Metcalf, Justin . Lessler. john.edmunds@lshtm.ac.uk. Why use models?. Observational studies of impact are retrospective, and difficult to interpret. CS52 – Spring 2017. Recursive . datatype. Defines a type variable for use in the . datatype. constructors. Still just defines a new type called “. binTree. ”. Recursive . datatype. What is this?. Dr Linda Bird. 2. nd. – 4. th. December 2012. Meeting Goals. Finalise draft CIMI Laboratory Results Report . mindmaps. Update CIMI Laboratory Results Report . ADL 1.5. Drafts prepared by Tom & Ian. Dr Linda Bird. 26. th. June 2013. Agenda. Background. CIMI . Modelling. Approach. CIMI . Modelling. . Foundations. CIMI . Modelling. Methodology. Future Work. Tomorrow. :. Terminology Binding. background.