AMERICAN INTERNATIONAL UNIVERSITY-BANGLADESH Dhaka‚ Bangladesh Faculty of Arts and Social Sciences COURSE OUTLINE I - Course Title: English Writing Skills and Communication (Semester- Fall 2013 ) II - Credit: 3 III – All sections IV - Course Description: The course is designed to study various rhetorical patterns and use their writing skills to develop essays in these patterns. The rhetorical patterns studied in this course are process analysis‚ cause
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Getting started: PLAN: The first step of the writing process is the planning stage. Pre-writing activities are the focus of this stage of the process. Use the brainstorming prompts in the instructions to spark ideas or free write on the subject of your own education for fifteen minutes or so to see what you come up with. Once you have a point of focus‚ you need to formulate a working thesis. The thesis for a narrative
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organizers lists‚ webbing/mapping/clustering (plan it) Writing: Rough Draft - Don’t stop once you start - let the ideas flow -revise later. Editing: Spelling‚ capitalization‚ punctuation grammar‚ sentence structure‚ subject/verb agreement‚ word usage‚ consistent verb tense‚ other mechanics Revising: ARRR (adding‚ rearranging‚ removing replacing) improve it. Publishing: Center title‚ margins even‚ neat‚ student checks quality using rubric Brain-Based Strategies 1. Brainstorming/Disussion 2. Games 3. Humor
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Key terms Chapter 1 Abstract word: a word that identifies an idea or feeling as opposed to a concrete object Audience: the person or persons with whom you are communicating. Communication: the process of sending and receiving messages. Concrete word: a word that identifies something the senses can perceive. Connotation: the subjective or emotional feeling associated with a word. Denotation: The literal‚ dictionary meaning of a word. E-mail: a message transmitted electronically over a computer
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I came into college knowing the fundamentals of how to write an essay‚ yet I never knew what writing processes would work best for me. A writing process is a routine that helps writers become more effective and has procedures that vary amongst each individual. To incorporate a process to develop essays was my goal‚ so that is why I researched different procedures that would work best for me. Although many people struggle in developing an essay‚ writing an essay is simple when applying the correct
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SEMINAR REPORT ON DATA CLUSTERING Submitted by NITIN PAUL Semester 7 Computer Science &Engineering Univ Roll No:07400038 To The University of Kerala In partial fulfilment of the requirements for the award of the degree Of Bachelor of Technology in Computer Science and Engineering DEPARTMENT OF COMPUTER SCIENCE & ENGINEERING
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crosses multiple crowdedness spot. To achieve the fundamental aspiration of mobility based clustering there are some principle to be considered. Initial is to describe the character and assess the vehicle crowdedness of a region. Next one is to picture the crowdedness spread of the city and recognize the problem areas and third is to investigating the development of crowdedness spots. A vehicle which has upraised movability can to a great extent allocate a down crowdedness and the other way around
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Issue-Based Problem-Solving: Antidote to Mental Messing Around Copyright © 2008 Accenture All Rights Reserved. Accenture‚ its logo‚ and High Performance Delivered are trademarks of Accenture. This guest lecture will focus on… – Issue-based problem solving – a must-have skill in management – Some ways you can use Issue-based problem solving effectively – How to address the right problems as efficiently as possible Copyright © 2008 Accenture All Rights Reserved. 5 This will going
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.......................................................................................... 3 2.0 Related Works ............................................................................................................................. 4 2.1 Clustering analysis .............................................................................................................. 4 2.2 K-Means algorithm ...................................................................................................
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standard application of cluster analysis‚ but it can also be used in different‚ sometimes rather exotic‚ contexts such as evaluating typical supermarket shopping paths or deriving employers’ branding strategies. MEANING: Cluster analysis or clustering is the task of grouping a set of objects in such a way that objects in the same group are more similar to each other than to those in other groups (clusters). It is a main task of exploratory data mining‚ and a common technique for statistical data
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