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 . OSATE. . versus . STOOD. Farhana Rahman, Carleton University. Yu Sun, University of Ottawa. Outline. Introduction. Scenario & Background. Architecture Analysis & Design Language (AADL) . STOOD & OSATE. OWL 2 . Based on material taken from. :. Ian . Horrocks. , “OWL 2: The Next Generation”, . London Semantic Web . Meetup. Group. , October 13, 2009. .. http. ://. www.cs.ox.ac.uk/people/ian.horrocks/Seminars/download/OWL2-overview.ppt. *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. . complementing or contradicting . Walter . Seidling. , Tanja Sanders, . Uwe Fischer. Thünen. . Institute . of. . Forest. . Ecosystems. How. . can. . we. bring . together. . empirists. . and. . Datatypes. Taro . Sekiyama. , . Atsushi Igarashi, and Yuki Nishida. Kyoto University. Data structures. Data structures are crucial to design algorithms. Efficient algorithms need fine-grained specifications on data . 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 . Lecturer in Quantitative Social Sciences. A basic linear regression model. e. Y. X. Y = B0 B1*X e. What’s the problem?. Assume that the residuals (e) are independent from each other.. Ie. that the model has accounted for everything systematic . Tonight's agenda . Our focus is always somewhere else. A Secure Development Lifecycle?. Threat Modelling. Taking it in your STRIDE. How . to get everyone involved. How to win at Poker. Q & A. Fin. 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 . Dr Linda Bird. 26. th. June 2013. Agenda. Background. CIMI . Modelling. Approach. CIMI . Modelling. . Foundations. CIMI . Modelling. Methodology. Future Work. Tomorrow. :. Terminology Binding. background. Barotse. floodplain, Zambia. . Tom Willis. 1. , Mark Smith. 1. , Donall Cross. 2. , Andrew Hardy. 3. , Georgina Ettritch. 3. , Happiness Malawo. 4. , . Mweemba. Sinkombo. 4. , Cosmas Chalo. 4. , Elizabeth Mroz. The Hillingdon Hospital NHS Trust – Children’s Asthma Team & Hillingdon Clinical Commissioning Group. Alison Summerfield, RGN,RSCN, BSc Hons, Dip. Asthma, Dip Allergy, NMP; SJ Stock, RGN,RSCN, Dip Asthma, Dip Allergy, NMP; Stevie .