PPT-Tracing Data Errors

Using View Conditioned Causality Alexandra Meliou with Wolfgang Gatterbauer Suman Nath and Dan Suciu University of Washington Microsoft Research University of Washington. irectly back over the tracing, not to the outside of the tracing. Don't pick the pushing foot up. The leg should be extended with the entire edge in con-tact with the ice until it's no longer on the S Name: Number of errors on this tracing Trial # (circle one) 1 2 3 4 5 6 7 8 9 10 S Trace the star without using a mirror. Try it right-handed, left-handed, clockwise, and counter- Prediction Models. Bayesian Knowledge Tracing. Goal. Infer the latent construct. Does a student know skill X. Goal. Infer the latent construct. Does a student know skill X. From their pattern of correct and incorrect responses on problems or problem steps involving skill X. Úlfar Erlingsson, Google Inc.. Marcus . Peinado. , Microsoft Research. Simon Peter, Systems Group, ETH Zurich. Mihai. . Budiu. , Microsoft Research. 1. Fay. Wouldn’t it be nice if…. We could know what our clusters were doing?. Smoke and Fog. What is Ray Tracing?. Recall from Day 1: Computer Graphics is the inverse of Computer Vision, Kajiya Equation. Given 3D data, figure out the 2D image with cameras and lighting. Ray tracing is an alternative solution to the fixed-function/GLSL pipeline (mostly). Discovery . with Models. Ryan Shaun . Joazeiro. de Baker. The classic method for assessing student knowledge within learning software . Classic articulation of this method (Corbett & Anderson, 1995). Úlfar Erlingsson, Google Inc.. Marcus . Peinado. , Microsoft Research. Simon Peter, Systems Group, ETH Zurich. Mihai. . Budiu. , Microsoft Research. 1. Fay. Wouldn’t it be nice if…. We could know what our clusters were doing?. Surveillance Part 1: . The Surveillance Plan . Adapted from the FAD . PReP. /NAHEMS Guidelines: Surveillance, Epidemiology, and Tracing (2011).. Surveillance. Intensive form of data recording. Gathering, documenting, and analyzing. Discovery . with Models. Ryan Shaun . Joazeiro. de Baker. The classic method for assessing student knowledge within learning software . Classic articulation of this method (Corbett & Anderson, 1995). Epidemiology Part 1:. Principles of Epidemiology. Adapted from the . FAD . PReP. /NAHEMS Guidelines: Surveillance, Epidemiology, and Tracing (. 2014).. Introduction to epidemiology . Overview of disease characteristics . Surveillance Part 2:. Implementing Surveillance. Adapted from the FAD PReP/NAHEMS Guidelines: Surveillance, Epidemiology, and Tracing (. 2014).. Describes sampling methods . Outlines diagnostic tests. Tracing and Additional Operational Procedures. Adapted from the FAD PReP/NAHEMS Guidelines: Surveillance, Epidemiology, and Tracing (. 2014).. Overview of tracing. Identifies tracing sources & services. Personnel and . Premises Designations. Adapted from the FAD PReP/NAHEMS Guidelines: Surveillance, Epidemiology, and Tracing (. 2014).. Overview of necessary personnel. Incident Command. Planning Section. Peter Shirley. Chris Wyman. Morgan McGuire. NVIDIA. 1. Introduction to Real-. T. ime Ray Tracing . Part 2. C. ourse Overview. Peter Shirley. NVIDIA. 2. RAY TRACING: INTRODUCED BY TURNER WHITTED IN 1979.