PPT-Session 1 Introduction Theory: Algorithms

Practical Starting out in Python Teaching Computing to KS3 Course outline Week No Understanding computers 500 600 Developing programming skills 600 700 23rd January Algorithms. 1. Brute Force. A straightforward approach, usually based . directly. on the problem’s . statement and . definitions. . of the concepts involved. Examples – based directly on definitions:. Computing . 2013-08-07. 1. Introduction. PSLS Webinar. May 20, 2015. Dan Martin. Northeast Regional Geodetic Advisor. 2013-08-07. Introduction. 2. THE FOLLOWING . PREVIEW. HAS BEEN APPROVED FOR. ALL SURVEY AUDIENCES. &. Miriam . Leeser. Dana Brooks. mel@coe.neu.edu brooks@ece.neu.edu. 1. This . work . is supported by: . NSF . CenSSIS. - The Center for Subsurface Sensing and Imaging. Fall 2011. Constantinos Daskalakis. Lecture 11. Last. . Lecture. .... 0. n. Generic PPAD. Embed PPAD graph in [0,1]. 3. 3D-SPERNER. canonical . p. .w. . linear . BROUWER. multi-player. NASH. 4-player. Assistant Training. Steve Rooney and Stuart Johnson. Student Development. Who are we?. www.le.ac.uk/studentdevelopment. Outline. Facilitating group learning. Introduction to (some!) learning and teaching theory. matter and can matter more: . Big . lead of PRAM algorithms on prototype-HW. Uzi Vishkin. There is nothing more practical than a good theory. -- James C. Maxwell. Mainstream many-cores are in trouble. , Convexity, and the quest towards Optimal Algorithms. Boaz Barak. Harvard University. Microsoft Research. Partially based on work in progress with . Sam Hopkins. , . Jon Kelner, . Pravesh Kothari. , Ankur Moitra and Aaron Potechin.. 1. Brute Force. A straightforward approach, usually based . directly. on the problem’s . statement and . definitions. . of the concepts involved. Examples – based directly on definitions:. Computing . Reading Assignment. Mandatory: Chapter 2 – Sections 2.3 and 2.4. 2. Relations. Relating sets. 3. Objectives. At the end of this section, you will be able to:. Define relations and represent them in two ways (sets and graphical). Programming - Purpose, structure and the outline of a program.. An overview – programming is: . analysis of a scenario/problem. defining a specification. identifying input, process and output testing/debugging.. 1. Brute Force. A straightforward approach, usually based . directly. on the problem’s . statement and . definitions. . of the concepts involved. Examples – based directly on definitions:. Computing . 1. Brute Force. A straightforward approach, usually based . directly. on the problem’s . statement and . definitions. . of the concepts involved. Examples – based directly on definitions:. Computing . 1. Decrease-and-Conquer. Reduce . original problem . instance to . smaller . instance . of the same problem. Solve smaller . instance. Extend solution . of smaller . instance . to obtain solution to original instance. MAT 302: Algebraic Cryptography LECTURE 1 Jan 2, 2012 MAT 302: Cryptography from Euclid to Zero-Knowledge Proofs LECTURE 1 Jan 2, 2012 Administrivia (see course info sheet) Instructor Vinod Vaikuntanathan