PPT-Lecture 3

The Schrödinger equation c So Hirata Department of Chemistry University of Illinois at UrbanaChampaign This material has been developed and made available online by work supported jointly by University of Illinois the National Science Foundation under Grant CHE1118616 CAREER and the Camille amp Henry Dreyfus Foundation Inc through the Camille Dreyfus TeacherScholar program Any opinions findings and conclusions or recommendations expressed in this material are those of the authors and do not necessarily reflect the views of the sponsoring agencies. The problem is that this information is oftenly unknown LMS is a method that is based on the same principles as the met hod of the Steepest descent but where the statistics is esti mated continuously Since the statistics is estimated continuously th Intro to IT. . COSC1078 Introduction to Information Technology. . Lecture 22. Internet Security. James Harland. james.harland@rmit.edu.au. Lecture 20: Internet. Intro to IT. . Introduction to IT. Slide . 1. <p> Sample <b>bold</b> display</p>. P. B. #text. #text. nextSibling. prevSibling. nextSibling. prevSibling. firstChild. lastChild. parentNode. parentNode. parentNode. Slide . 1. <. p>Sample . <b>bold</b> display</p>. P. B. #text. #text. nextSibling. prevSibling. nextSibling. prevSibling. firstChild. lastChild. parentNode. parentNode. parentNode. Slide . 1. Google Datacenter. CS 142 Lecture Notes: Datacenters. Slide . 2. Datacenter Organization. Rack:. 50 machines. DRAM: . 800-3200GB . @ 300 . µs. Disk: 100TB @ 10ms. Single server:. 8-24 . cores. 4. LCD Text Display. Keypads and Time Slicing. Interrupts. 2×16 LCD . Typically 5×8 dots per character. Note 16 pins: indicator of common interface. Lecture 4. 2. Typical LCD Unit . pinout. pin. function. with. Students. Carl S. Moore, Assistant Director . Carl.moore@temple.edu. Teaching and Learning Center. Temple University . Wood, D., Bruner, J. S., & Ross, G. (1976). The Role of Tutoring in Problem Solving*. Journal of child psychology and psychiatry, 17(2), 89-100.. Slide . 1. <. p>Sample . <b>bold</b> display</p>. P. B. #text. #text. nextSibling. prevSibling. nextSibling. prevSibling. firstChild. lastChild. parentNode. parentNode. parentNode. Slide . 1. Intelligent Systems (AI-2). Computer Science . cpsc422. , Lecture . 11. Oct, 2, . 2015. 422 . big . picture: Where are we?. Query. Planning. Deterministic. Stochastic. Value Iteration. Approx. Inference. Object Oriented Programming Inheritance. Like father, like son. Objectives. 2. Introducing inheritance through creating subclasses. Improve code reusability. Allowing overriding to replace the implementation of an inherited method. Lecture 8. Announcements. Lecture 8 > . Announcements. Scores were quite good overall . for homework! . We’re excited! . Destroy the midterm!. Midterm is with CAs. . We will post on the page how to divide into overflow rooms. Assembly Language and . Arduino. Adapted from T. Murphy’s slides. Behind the C code (or sketch). C provides a somewhat human-readable interface. but it gets . compiled. into machine instruction set. 1. Intelligent Systems (AI-2). Computer Science . cpsc422. , Lecture . 10. Sep, 29. , 2017. CPSC 422, Lecture 10. 2. Lecture Overview. Finish Reinforcement learning. Exploration vs. Exploitation. On-policy Learning (SARSA). 1. PHY 745 Group Theory. 11-11:50 AM MWF Olin 102. Plan for Lecture 24:. Jahn. -Teller Effect. S. ection 7.7 in . DDJ. Example of tetrahedral molecule with doubly or triply degenerate electronic states..