PPT-ESL Data-Driven Instruction

Howell Township Options for Discussion ACCESS for ELLs 20 Summative Assessment Serves as one of multiple measures we use to determine whether students are prepared to exit the ESL Program Provides information that assists in determining if ELLs have attained the language proficiency needed to participate meaningfully in content area classrooms without program support. Concepts and steps for using signal-driven I/O. UDP echo server using signal-driven I/O. Readings. UNP Section 6.2, Ch25. 1. Efficiently detecting an asynchronous event (arrival of a connection, arrival of a message, etc) is difficult.. 134CHAPTER13.ASTROPHYSICALJETSwinds:jetsmightbepressure-driven,radiation-driven,Alfven-wave-driven,orshock-driven.Nooneissurehowjetsarecollimated;bythetimetheyarevisibletoobservers,theyarealreadytight GLEN BISSETT. 2. 2014. Data driven professional scepticism. Outline. What is professional scepticism. ?. What is data. ?. How can one drive the other. ?. How does IDEA help?. What is professional scepticism?. , descriptive, general-purpose, function-driven Data-driven, normative, general-purpose function-driven DEPR Data-drivendescriptive, projectspecific, research-driven DEGR Data-drivendescriptive, gener This semester’s focus: Data Science. AnHai. Doan . What We Will Discuss. Logistic. course enrollment. no class this Friday. What is data science? . Motivation, the rise of data science. What CS at UW-Madison is doing about it. cycle. Structural hazards. A required resource is busy. Data hazard. Need to wait for previous instruction to complete its data read/write. Control hazard. Deciding on control action depends on previous instruction. WE ALL USE . DATA. Turn and Talk. :. What action steps would you take after hearing this information?. What other data would be helpful when making your decision as a consumer?. Do you use . data . to make informed decisions?. Don Porter. 1. Representing Instructions. Today’s topics. von Neumann model of a computer. Instruction set architecture. MIPS instruction formats. Some MIPS instructions. Reading. P&H textbook Ch. 2.1-2.2, Ch. 2.5-2.6. Srinivasa. . Narasimhan. Yaser. Sheikh. The Robotics Institute. Carnegie Mellon University. Citizen Journalism . after . Boston Marathon. CCTV. Smart. Phones. TV Crew. Organizing Massive Imagery . of an Event over Space and Time. DDDM. “The practice of basing decisions on the analysis of data rather than purely on intuition.”  Equally succinctly, data science “as the connective tissue between data-processing technologies (including those for . Cr. Emilio Nicola, PMP. Agenda. Gobernabilidad, Riesgo y Cumplimiento (GRC). Hacia nuevo paradigma: el nexo de fuerzas de . Gartner. GRC basado en datos: el modelo Data . Driven. de ACL. 2. 1-. Gobernabilidad, Riesgo y Cumplimiento . The Desired Brand Effect Stand Out in a Saturated Market with a Timeless Brand Budget Discussion. Today’s Discussion:. How . We Get a Margarita Machine. the Budget Works?. Where our money comes from and how we allocate it?. What are the primary focuses for Budget Development?. Dave Einolf, Managing Director, Endeavour EHS. Nick Ashley, Ph.D., P.E. Global Director, Process Safety, W. R. Grace & Co.. Lu Menghini, CPSA, Senior Audit Manager, Operations, Internal Audit, bp.