SYLLABUS FOR MANIPUR STATE TEACHER ELIGILIBILITY TESTSTRUCTURE AND CONTENT OF SYLLABUS (Manipur State Teacher Eligibility Test) PAPER-I (for classes I to V) Primary stage. 1. Child Development and Pedagogy 30 questions (1 mark each of MCQ) a) Content (The test items on Child Development and Pedagogy will focus on educational psychology of teaching and learning relevant to the age group of 6-11 years. They will focus on understanding the characteristics and needs of diverse
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Materials to support revised internal assessment requirements and HSC examination specifications for Mathematics‚ Mathematics Extension 1 and Mathematics Extension 2 The Board of Studies has revised the internal assessment requirements and HSC examination specifications for all Stage 6 Mathematics courses (see Official Notice BOS 17/11). The revisions take effect with the 2012 HSC cohort. The following materials have been developed to assist teachers implementing the revisions for Mathematics
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board? 11 Sci-Damaths operation 12 Writing moves 13 Scoresheets 14 Notes 15 Chips 17 Counting Damaths 21 Whole Damaths 23 Fraction Damaths 25 Integer Damaths 27 Rational Damaths 29 Radical Damaths 31 Polynomial Damaths 33 Binary Damathan 35 Best move Water patrol Dama 37 Power patrol sci - dama 39 Electro sci - dama 41 Dama Sci - notation 43 THI Sci - Dama 45 Thermo Sci – Dama 47 Introduction Board games used for a number of
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General Certificate of Education (International) Advanced Level and Advanced Subsidiary Level Syllabus MATHEMATICS 9709 For examination in June and November 2009 CIE provides syllabuses‚ past papers‚ examiner reports‚ mark schemes and more on the internet. We also offer teacher professional development for many syllabuses. Learn more at www.cie.org.uk MATHEMATICS GCE Advanced Subsidiary and GCE Advanced Level 9709 CONTENTS Page INTRODUCTION 1 AIMS 2 ASSESSMENT
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Neurocomputing 55 (2003) 307 – 319 www.elsevier.com/locate/neucom Financial time series forecasting using support vector machines Kyoung-jae Kim∗ Department of Information Systems‚ College of Business Administration‚ Dongguk University‚ 3-26‚ Pil-dong‚ Chung-gu‚ Seoul 100715‚ South Korea Received 28 February 2002; accepted 13 March 2003 Abstract Support vector machines (SVMs) are promising methods for the prediction of ÿnancial timeseries because they use a risk function consisting of the
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Lecture 6: Function. Limits and continuity. Plan: 1) Concept of function. Basic properties of functions. 2) Elementary functions. Classification of functions. 1) Concept of function. Basic properties of functions. Definition 1. If to each element x of set X () is put in conformity the element y of set Y () speak‚ that on set X function is given. Where х is an independent variable (or argument)‚ y - a dependent variable‚ and the letter f designates the law of conformity. Set X is
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Functions and graphing functions Basics: A function is a rule that changes input into output A relation is any set of ordered pairs A function is defined as a set of ordered pairs in which no two ordered pairs have the same element A function must give exactly one unique output for each input Also called a mapping or simply a map The set of input numbers is called the domain The set of output numbers is called the range The set of all possible outputs is called the co-domain The range is generally
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OEE OEO OHA OS PCB Add/Drop Multiplexer Aggregate Alarm Indication Signal Auxiliary Alarm Connection Field Consecutive Identical Digit Coded Mark Inversion Customer Premises Equipment Cyclic Redundancy Check - 4th order generator polynomial Data Communication Channel Embedded Communications Channel Emitter Coupled logic TM Module with Electrical Aggr‚ Electrical Trib ADM Module with Electrical Aggr Electri‚ cal Trib‚ Electrical Aggr Electromagnetic Compatibility Engineering
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front: (a )(a ) ...put the second squared thing in back: (a b)(a b) ...and alternate the signs in the middles: (a – b)(a + b) Memorize this formula! It will come in handy later‚ especially when you get to rational expressions (polynomial fractions)‚ and you’ll probably be expected to know the formula for your next test. Special Factoring: Factoring Sums and Differences of Cubes & Recognizing Perfect Squares The other two special factoring formulas are two sides of the same
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Distributed lag non-linear models in R: the package dlnm Antonio Gasparrini and Ben Armstrong London School of Hygiene and Tropical Medicine‚ UK dlnm version 1.6.4 ‚ 2012-08-22 Contents 1 Preamble 2 Installation and data 2.1 Installing the package dlnm . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2.2 Data . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3 Distributed lag non-linear models 3.1 The issue . . . . . . . . . . .
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