PPT-Complexity in Language

Why dont languages evolve toward efficiency As they evolve things become more efficient Efficient operations tools methods etc should drive out those that are difficult and costly. Goldrush. – Day 4. John McWhorter. Peter . Trudgill. Social structure and language structure. The “Linguistic Niche Hypothesis”. (. Lupyan. & Dale, 2010). Esoteric Languages. Exoteric Languages. By . Edwina Howard-Jack. , . NBCT. , . English Language Arts Coordinator, Office of Instruction, WVDE . &. Dr. . Vaughn Rhudy. , . NBCT. , . WESTEST 2 RLA/Online Writing Assessment Coordinator, Office of Assessment and Accountability, WVDE. . Grades 6-12 ELA Summer 2016. We . know from experience the hard work teachers face every day as they strive to help their students meet the challenges set by higher standards.. We are dedicated to empowering teachers by providing free, high-quality standards-aligned resources for the classroom, the opportunity for immersive training through our Institute, and the option of support through our website offerings. Karen Caddoo/Diane Rosen. CoTESOL November 6, 2015. Objectives. To provide an understanding of why explicit language instruction is essential for ELLs. To suggest examples of how we can provide opportunities for students to deconstruct and construct complex academic language. Classroom. Grades 6-12. ELA . II . Day . 4. Winter 2017. Agenda. Keynote Debrief. ✓. Setting up the Day (norms and reflection). Text and Task Complexity: Setting up the Non-. Negotiables. “Understanding Language”. Seth Bullock. 2 July 2012 . Institute for Complex. Systems Simulation. About Me. Game Theory. Networks Science. Simulation Modelling. Visualization. Interdisciplinarity. Philosophy of Science. Methodology. Classroom. ELA Returners Day 4 Grades 6–12. Introductions . Who I am. . Raise your hand . if you are. an ELL teacher. an . ELA . teacher. An ESL teacher. a teacher coach. a. n administrator. a. partner. 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. K-5. Session 2 . Participants will gain an awareness of. :. Appendix B: Text Exemplars. Appendix C: Samples of Student Writing. Implications for Special Education. Outcomes for the Day. Become familiar with the documents that are referenced in. First we start with building the container around equity. We then take a look at the standards, highlighting that they are rooted in equity of access. Participants deep dive into the reading standards to examine what they are really asking, and how they build a staircase of complexity.. 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?. SPACE COMPLEXITY. SHESHAN SRIVATHSA. INTRODUCTION. Definition:. Let M be a deterministic Turing Machine that halts on all inputs.. Space Complexity of M. is the function f:N. N, where f(n) is the maximum number of tape cells that M scans on any input of length n.. 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. Ben Naismith & Ramsey Cardwell. Duolingo English Test. April 21, 2023. BALEAP 2023 Conference. Intros & paper summary (. 15. mins. ). Methods. questions . (. 15 mins. ). Implication questions .