Homework 1: Regular expressions (due Sept 24 at midnight)
|
|
- Kathlyn Flynn
- 6 years ago
- Views:
Transcription
1 Homework 1: Regular expressions (due Sept 24 at midnight) 1. Read chapters 1 and 2 from JM. 2. From the book JM: 2.1, 2.4, Exploritory data analysis is a common thing to do with numbers, histograms, box plots, etc. But, much of this isn t that interesting when using words. So this problem asks you to explore what a regular expression actually does by simply running it against a bunch of text. Consider the following regular expression: (?:[a-z0-9!#$%&'*+/=?^_`{ }~-]+(?:\.[a-z0-9!#$%&'*+/=?^_`{ }~-]+)* "(?:[\x01-\x08\ I posted a link to the above regex on the index.html page for the class (at the due date in the schedule). See if you can work with that easier if your cut and paste doesn t work from the pdf. (You can also grab it out of the Rwn file.) Darian suggest trying perl = TRUE as being helpful for getting it to work. (Note, if you have trouble getting that to run in R, try the following which is a much watered down version: > reg1 <- "[a-z0-9]+(\\.[a-z0-9]+)*(@[a-z0-9\\.]+)?" ) Now you could read it and understand it. But that would be cheating this is a statistics course! So test them against a bunch of strings and see if you and figure out what are legal and what aren t legal strings. So try it on say a large corpus, for example, enron/. When you look at what it matches, make a guess as to what the pattern is supposed to do. Can you test this guess more accurately? Homework 2: N-grams 1. Pick whether you want to do a paper replication or 2 Language log like posts for your final project. If you want to do a paper replication, let me konw what area you might want to do it in. 2. Read chapter 3-6 of JM. 3. Read the spectral paper on HMM s 1
2 4. JM: JM: 4.4, We will analyse the text called Alice in Wonderland. First we want to grab it down from the Gutenberg project. They have collected up over 30,000 books that you can read or play with. So surf for the Gutenberg project and find an ascii version of Alice in wonderland that you can download. If that doesn t work, you can just click on but that would be cheating. (a) After you download it, you can read it into R with the scan command. Or you can read it directly via the command: > alice <- scan(" what = "character + quote = "", skip = 25) This command reads the whole file in as a vector of words. If you try it without the quote="" it will read all the quoted material as single words. Probably not what we want. The file starts with a blurb about this file not being copywrited so we should skip the first 25 lines or so. (b) First we will look at the frequency of the words themselves. i. Using the table command get the counts of the various words. Now sort them by frequency. What are the 10 most common words? Are they significantly different than the 10 most common words in the federalist papers? Does this seem resonable? ii. Now we will make the classic Zipf plot. We want a plot of the log of the frequency of the word (or just the log count) vs the log of the index of the word. iii. Add a regression line to this plot. Yikes! It seems to miss most of the data. We can eliminate the first 10 words since they don t fit the line all that well and the last bunch. So fit a line which uses something like the 10 th through the 1000 th observation. iv. Is the slope you compute similar to the one computed for the federalist papers? How about the wikipedia Zipf slope? (You will have to read off the slope by hand.) Is there a story here? 2
3 (c) I mentioned in class, that prediction and data compression are the same thing. So this part will have you consider three different compression schemes: By hand, By ZIP, and by google-2-grams. Basically you will need to look at a sequence of words: I m late! I m late! For a very important and fill in the missing word. You will first do it by hand, and then by compression and finally by google. i. First pick a location at random in the text. 1 Now print out the previous 20 words or so. Write down several possible next words. What probability do you give to each of these words? Now, look at which word actually occured? What probability did you give to this word? Here are the R commands to do an example. Choose the index > index <- round(runif(1) * 24384) > index Then look at the the preceeding words are: > cat(alice[(index - 20):(index - 11)], "\n", alice[(index - 10):(index - + 1)]) Now guess the next word. The correct answer is: > alice[index] In the example I started with: I m late! I m late! For a very important. 2 One might guess the words: event, date, meeting, activity. Now you give probabilities to each of these, say P(event) =.1, P(date) =.4, P(meeting) =.2, P(activity) =.1. Note these probabilities don t add up to one since I should also have probabilities for other words that I haven t bothered to write down. Now look and see the correct word is. For the example I m using the correct word is date which I assigned a probability of.4. Repeat this with 10 different words. How often was one of the words you guessed the correct word? ii. Compute the average of the log probabilities for your guesses. Assume that any time you missed the word altogether, you 1 Determine how many words there are and then generate a random index from 1 up to the last possible word. 2 For the purists, this actually doesn t occur in the original text but only in the Disney version. 3
4 should have in fact used a longer list which eventually would have included the correct word. So give yourself a probability of say, 1/24384 for that word. The average of your log probabilities is called the entropy. Entropy is usually measured in bits which mean base 2. So use log base 2 for this step. 3 iii. Compare your entropy to the LZ compression scheme. You can do this noting that the ZIP version is 59k bytes at Guttenberg. What does your total entropy look like? (Use the total number of words times number average entropy per word as an estimate.) iv. Now we want to make a prediction of the next word based on the foster/teaching/471/google n-gram data set. I have made up an easier set of data to work so you don t have to process those gigabytes of compressed data 4 First look up the previous word in the google 1-gram file. For my example, it is important which occurs times. Now look up the actual two-gram word pair that occured. For my example, it is important date which occured times. So the probability is 35885/ , or about 1/3000. How does google do on forecasting the probability of the 10 words you came up with? How would you estimate the entropy goolge would do for the entire file? v. (Bonus) Write a R script that will compute the -log(probability) of each word based on the google 2-gram data set. What is the final entropy? Does it do better than LZ compression? 7. (Chapter 4) Find an approximation to the perplexity based on the entropy. (see page JM:96 for PP measure.) 8. (n-grams) Estimate how many words a day you hear or read. From this, estimate how many words you will process in your life time. How many lifetimes worth of data are in the google n-gram database? 3 You can assign the base in R, or you can use the formula, log 2(x) = log(x)/log(2). 4 If you want to read this into R you will find the files google/easy one and google/easy two will read in with less trouble. Or you can use Sivan s magic of: one.gram < read.delim("easy_google",nrow=3160,header=false) or for two grams two.gram < read.delim("easy_google",skip=3160,header=false) 4
5 Homework 3: Speech recognition page 247: 7.2. Listen to a few people from accent archive. Pick one word, (i.e. snake) and listen to how different people pronounce it. See if you can figure out how a new person will pronounce it before you hit play. Try it for 3 new people and tell me if you feel you can get them right. Homework 4: Speaking or not? (I m still writing this but if you want to get started early here are the basic instructions. I ve also updated the final project.) This homework will have you run some big regressions. Each row of the data table consists of a recording. It has been processed so you will not have to deal with.wav files and such. The puzzle is to figure out whether someone is speaking whether it is just background noise. Introduction to the data: Start out by reading Neville Ryant s description of the data. (Note: He generated this dataset for us to play with. So if you run into him thank him!) And opening up the data in R: Neville s readme.pdf file. Neville s gzipped text datafile. Neville s R binary file. (smaller and faster) As an exploritory data analysis, see how well you can predict whether there is a speaker in the overall data set. You can use whatever method you like best. (I ll assume you are using stepwise regression since that is the easist.) This then is a single model which predicts everyone. 1. What is your RMSE for identifying whether someone is speaking? If these 19 domains were all that existed, this one regression might be a fine thing to do. But in fact, we want to predict on new domains not on the ones we already have seen. So run your script you wrote to generate the fit on the entire dataset on each of the 19 domains. 1. Make a histogram/boxplot of the 19 RMSE s. Which domain is the easiest? Which is the hardest? Is RMSE a fair comparison across 5
6 these domains? (Consider the base rate of each domain.) What is the average RMSE? Why is it lower than the RMSE of your original model? The key issue: Now we want to use a model generated for one dataset to predict a different dataset. So A possible cure: 1 Final Project Here are the deadlines for the paper replication. (Nov 12) What paper do you want to replicate? Give me a link to the paper, and a link to data which you plan on replicating the paper using. (Nov 19) Freshen the references of this paper. What has been done that is more current? Write a sentence summary of each paper which is more current than those cited in your replication paper. (Dec 10) If you want me to read a first draft, then turn one in on this date. If you are feeling brave, wait until the 17th. (Dec 17) Final draft due. If you are doiing original research, please follow the following schedule: (Nov 12, 2010) One page description of what you propose to do. Provide a thesis sentence. This is a single statement of what it is you would like to show. It might be I will replicate the analysis in such-and-such a paper. Or it might be I will investiage the CCA connection between abstracts and references of papers taken from NIPS Provide a paragraph of back ground material. Provide a paragraph of what you will be doing. Provide a link as to where you will find data if you will need it. (Nov 19) References section. What papers are related to your project? 6
7 Identify the two or three papers that are closest to your work and also give the 10 or so other papers that you ran into along the way. In either case, give a one sentence statement of what you got from each paper. Write this with yourself as the target audience not me. So if I find these statements confusing that is fine. As long as you don t! (Nov 26) If you are doing data, show some parsed examples of your text that you can read in. (Dec 3) If you are doing data, give your statistical analysis of your data. We should sit down together and go through your data analysis. (Dec 10) If you want me to read a first draft, then turn one in on this date. If you are feeling brave, wait until the 17th. (Dec 17) Final draft due. 7
Notetaking Directions
Porter Notetaking Directions 1 Notetaking Directions Simplified Cornell-Bullet System Research indicates that hand writing notes is more beneficial to students learning than typing notes, unless there
More informationGetting Started with Deliberate Practice
Getting Started with Deliberate Practice Most of the implementation guides so far in Learning on Steroids have focused on conceptual skills. Things like being able to form mental images, remembering facts
More informationCS Machine Learning
CS 478 - Machine Learning Projects Data Representation Basic testing and evaluation schemes CS 478 Data and Testing 1 Programming Issues l Program in any platform you want l Realize that you will be doing
More informationHow to make an A in Physics 101/102. Submitted by students who earned an A in PHYS 101 and PHYS 102.
How to make an A in Physics 101/102. Submitted by students who earned an A in PHYS 101 and PHYS 102. PHYS 102 (Spring 2015) Don t just study the material the day before the test know the material well
More informationThe Writing Process. The Academic Support Centre // September 2015
The Writing Process The Academic Support Centre // September 2015 + so that someone else can understand it! Why write? Why do academics (scientists) write? The Academic Writing Process Describe your writing
More informationVirtually Anywhere Episodes 1 and 2. Teacher s Notes
Virtually Anywhere Episodes 1 and 2 Geeta and Paul are final year Archaeology students who don t get along very well. They are working together on their final piece of coursework, and while arguing over
More informationShockwheat. Statistics 1, Activity 1
Statistics 1, Activity 1 Shockwheat Students require real experiences with situations involving data and with situations involving chance. They will best learn about these concepts on an intuitive or informal
More informationTU-E2090 Research Assignment in Operations Management and Services
Aalto University School of Science Operations and Service Management TU-E2090 Research Assignment in Operations Management and Services Version 2016-08-29 COURSE INSTRUCTOR: OFFICE HOURS: CONTACT: Saara
More informationWelcome to ACT Brain Boot Camp
Welcome to ACT Brain Boot Camp 9:30 am - 9:45 am Basics (in every room) 9:45 am - 10:15 am Breakout Session #1 ACT Math: Adame ACT Science: Moreno ACT Reading: Campbell ACT English: Lee 10:20 am - 10:50
More informationChapter 4 - Fractions
. Fractions Chapter - Fractions 0 Michelle Manes, University of Hawaii Department of Mathematics These materials are intended for use with the University of Hawaii Department of Mathematics Math course
More informationIf we want to measure the amount of cereal inside the box, what tool would we use: string, square tiles, or cubes?
String, Tiles and Cubes: A Hands-On Approach to Understanding Perimeter, Area, and Volume Teaching Notes Teacher-led discussion: 1. Pre-Assessment: Show students the equipment that you have to measure
More informationCase study Norway case 1
Case study Norway case 1 School : B (primary school) Theme: Science microorganisms Dates of lessons: March 26-27 th 2015 Age of students: 10-11 (grade 5) Data sources: Pre- and post-interview with 1 teacher
More informationGraduate Diploma in Sustainability and Climate Policy
Graduate Diploma in Sustainability and Climate Policy - 2014 Provided by POSTGRADUATE Graduate Diploma in Sustainability and Climate Policy About this course With the demand for sustainability consultants
More informationLEARNER VARIABILITY AND UNIVERSAL DESIGN FOR LEARNING
LEARNER VARIABILITY AND UNIVERSAL DESIGN FOR LEARNING NARRATOR: Welcome to the Universal Design for Learning series, a rich media professional development resource supporting expert teaching and learning
More informationThe UNF Digital Commons
University of North Florida UNF Digital Commons Library Faculty Presentations & Publications Thomas G. Carpenter Library 4-11-2012 The UNF Digital Commons Jeffrey T. Bowen University of North Florida,
More informationDOCTORAL SCHOOL TRAINING AND DEVELOPMENT PROGRAMME
The following resources are currently available: DOCTORAL SCHOOL TRAINING AND DEVELOPMENT PROGRAMME 2016-17 What is the Doctoral School? The main purpose of the Doctoral School is to enhance your experience
More informationMulti-genre Writing Assignment
Multi-genre Writing Assignment for Peter and the Starcatchers Context: The following is an outline for the culminating project for the unit on Peter and the Starcatchers. This is a multi-genre project.
More informationAP Statistics Summer Assignment 17-18
AP Statistics Summer Assignment 17-18 Welcome to AP Statistics. This course will be unlike any other math class you have ever taken before! Before taking this course you will need to be competent in basic
More information5 Guidelines for Learning to Spell
5 Guidelines for Learning to Spell 1. Practice makes permanent Did somebody tell you practice made perfect? That's only if you're practicing it right. Each time you spell a word wrong, you're 'practicing'
More informationThe Success Principles How to Get from Where You Are to Where You Want to Be
The Success Principles How to Get from Where You Are to Where You Want to Be Life is like a combination lock. If you know the combination to the lock... it doesn t matter who you are, the lock has to open.
More informationFoothill College Summer 2016
Foothill College Summer 2016 Intermediate Algebra Math 105.04W CRN# 10135 5.0 units Instructor: Yvette Butterworth Text: None; Beoga.net material used Hours: Online Except Final Thurs, 8/4 3:30pm Phone:
More informationSchoology Getting Started Guide for Teachers
Schoology Getting Started Guide for Teachers (Latest Revision: December 2014) Before you start, please go over the Beginner s Guide to Using Schoology. The guide will show you in detail how to accomplish
More informationUNIT ONE Tools of Algebra
UNIT ONE Tools of Algebra Subject: Algebra 1 Grade: 9 th 10 th Standards and Benchmarks: 1 a, b,e; 3 a, b; 4 a, b; Overview My Lessons are following the first unit from Prentice Hall Algebra 1 1. Students
More informationLiking and Loving Now and When I m Older
Liking and Loving Now and When I m Older A Lesson Plan from Rights, Respect, Responsibility: A K-12 Curriculum Fostering responsibility by respecting young people s rights to honest sexuality education.
More informationA Teacher Toolbox. Let the Great World Spin. for. by Colum McCann ~~~~ The KCC Reads Selection. for the. Academic Year ~~~~
A Teacher Toolbox for Let the Great World Spin by Colum McCann ~~~~ The KCC Reads Selection for the Academic Year 2011-2012 ~~~~ Maureen E. Fadem 4/18/12 Contents: 1. Materials & Resources 2. Websites
More informationWelcome to WRT 104 Writing to Inform and Explain Tues 11:00 12:15 and ONLINE Swan 305
Associate Professor Libby Miles, PhD Office = Roosevelt 336 lmiles@uri.edu (questions only, no submissions) Office hours this spring = Tuesdays 12:30 2:00 and Wednesdays 10:30 11:30 Department of Writing
More informationTHESIS GUIDE FORMAL INSTRUCTION GUIDE FOR MASTER S THESIS WRITING SCHOOL OF BUSINESS
THESIS GUIDE FORMAL INSTRUCTION GUIDE FOR MASTER S THESIS WRITING SCHOOL OF BUSINESS 1. Introduction VERSION: DECEMBER 2015 A master s thesis is more than just a requirement towards your Master of Science
More informationMaths Games Resource Kit - Sample Teaching Problem Solving
Teaching Problem Solving This sample is an extract from the first 2015 contest resource kit. The full kit contains additional example questions and solution methods. Rationale and Syllabus Outcomes Learning
More informationThe Task. A Guide for Tutors in the Rutgers Writing Centers Written and edited by Michael Goeller and Karen Kalteissen
The Task A Guide for Tutors in the Rutgers Writing Centers Written and edited by Michael Goeller and Karen Kalteissen Reading Tasks As many experienced tutors will tell you, reading the texts and understanding
More informationSocial Media Journalism J336F Unique ID CMA Fall 2012
Social Media Journalism J336F Unique ID 07435 CMA 4.308 Fall 2012 Class: T- Th 9:30 to 11 a.m. Professor: Robert Quigley Office hours: 1-2 p.m. Mondays and 10 a.m. to noon on Fridays and by appointment.
More informationown yours narrative essay about. Own about. own narrative yours about essay essays own about
Narrative essay about your own life. Take essay notes on what you are life and write life own sources of гwn information, as you may own to cite them in yours paper, about your, narrative essay.. Narrative
More informationUtilizing FREE Internet Resources to Flip Your Classroom. Presenter: Shannon J. Holden
Utilizing FREE Internet Resources to Flip Your Classroom Presenter: Shannon J. Holden www.newteacherhelp.com This Presentation I gave this presentation to the Missouri Association of Secondary School Principals
More informationExploration. CS : Deep Reinforcement Learning Sergey Levine
Exploration CS 294-112: Deep Reinforcement Learning Sergey Levine Class Notes 1. Homework 4 due on Wednesday 2. Project proposal feedback sent Today s Lecture 1. What is exploration? Why is it a problem?
More informationEnglish Policy Statement and Syllabus Fall 2017 MW 10:00 12:00 TT 12:15 1:00 F 9:00 11:00
English 0302.203 Policy Statement and Syllabus Fall 2017 Instructor: Patti Thompson Phone: (806) 716-2438 Email addresses: pthompson@southplainscollege.edu or pattit22@att.net (home) Office Hours: RC307B
More informationSTUDENT MOODLE ORIENTATION
BAKER UNIVERSITY SCHOOL OF PROFESSIONAL AND GRADUATE STUDIES STUDENT MOODLE ORIENTATION TABLE OF CONTENTS Introduction to Moodle... 2 Online Aptitude Assessment... 2 Moodle Icons... 6 Logging In... 8 Page
More informationInstructor: Mario D. Garrett, Ph.D. Phone: Office: Hepner Hall (HH) 100
San Diego State University School of Social Work 610 COMPUTER APPLICATIONS FOR SOCIAL WORK PRACTICE Statistical Package for the Social Sciences Office: Hepner Hall (HH) 100 Instructor: Mario D. Garrett,
More informationEDIT 576 (2 credits) Mobile Learning and Applications Fall Semester 2015 August 31 October 18, 2015 Fully Online Course
GEORGE MASON UNIVERSITY COLLEGE OF EDUCATION AND HUMAN DEVELOPMENT INSTRUCTIONAL DESIGN AND TECHNOLOGY PROGRAM EDIT 576 (2 credits) Mobile Learning and Applications Fall Semester 2015 August 31 October
More informationPhysics XL 6B Reg# # Units: 5. Office Hour: Tuesday 5 pm to 7:30 pm; Wednesday 5 pm to 6:15 pm
Physics XL 6B Reg# 264138 # Units: 5 Department of Humanities & Sciences (310) 825-7093 Quarter:_Spring 2016 Instructor: Jacqueline Pau Dates: 03/30/16 06/15/16 Lectures: 1434A PAB, Wednesday (6:30-10pm)
More informationSESSION 2: HELPING HAND
SESSION 2: HELPING HAND Ready for the next challenge? Build a device with a long handle that can grab something hanging high! This week you ll also check out your Partner Club s Paper Structure designs.
More informationWriting an essay about sports >>>CLICK HERE<<<
Writing an essay about sports >>>CLICK HERE
More informationMulti-Lingual Text Leveling
Multi-Lingual Text Leveling Salim Roukos, Jerome Quin, and Todd Ward IBM T. J. Watson Research Center, Yorktown Heights, NY 10598 {roukos,jlquinn,tward}@us.ibm.com Abstract. Determining the language proficiency
More informationFinding Translations in Scanned Book Collections
Finding Translations in Scanned Book Collections Ismet Zeki Yalniz Dept. of Computer Science University of Massachusetts Amherst, MA, 01003 zeki@cs.umass.edu R. Manmatha Dept. of Computer Science University
More informationEDIT 576 DL1 (2 credits) Mobile Learning and Applications Fall Semester 2014 August 25 October 12, 2014 Fully Online Course
GEORGE MASON UNIVERSITY COLLEGE OF EDUCATION AND HUMAN DEVELOPMENT GRADUATE SCHOOL OF EDUCATION INSTRUCTIONAL DESIGN AND TECHNOLOGY PROGRAM EDIT 576 DL1 (2 credits) Mobile Learning and Applications Fall
More informationbabysign 7 Answers to 7 frequently asked questions about how babysign can help you.
babysign 7 Answers to 7 frequently asked questions about how babysign can help you. www.babysign.co.uk Questions We Answer 1. If I sign with my baby before she learns to speak won t it delay her ability
More informationIntroduction to WeBWorK for Students
Introduction to WeBWorK 1 Introduction to WeBWorK for Students I. What is WeBWorK? WeBWorK is a system developed at the University of Rochester that allows professors to put homework problems on the web
More informationMeasures of the Location of the Data
OpenStax-CNX module m46930 1 Measures of the Location of the Data OpenStax College This work is produced by OpenStax-CNX and licensed under the Creative Commons Attribution License 3.0 The common measures
More informationEduroam Support Clinics What are they?
Eduroam Support Clinics What are they? Moderator: Welcome to the Jisc podcast. Eduroam allows users to seaming less and automatically connect to the internet through a single Wi Fi profile in participating
More informationCorporate Communication
Corporate Communication UTRGV COMM 6329 / Fall 2015 Schedule: August 31, 2015 to December 13, 2015 Location: Online Instructor: Dr. Young Joon Lim Office: ARHU, Room 158 Office Hours: through email young.lim@utrgv.edu
More informationPOFI 1349 Spreadsheets ONLINE COURSE SYLLABUS
POFI 1349 Spreadsheets ONLINE COURSE SYLLABUS COURSE NUMBER AND TITLE: POFI 1349 SPREADSHEETS (2-2-3) COURSE (CATALOG) DESCRIPTION: Skill development in concepts, procedures, and application of spreadsheets
More informationHow to write an essay about self identity. Some people may be able to use one approach better than the other..
How to write an essay about self identity. Some people may be able to use one approach better than the other.. How to write an essay about self identity >>>CLICK HERE
More informationDemography and Population Geography with GISc GEH 320/GEP 620 (H81) / PHE 718 / EES80500 Syllabus
Demography and Population Geography with GISc GEH 320/GEP 620 (H81) / PHE 718 / EES80500 Syllabus Catalogue description Course meets (optional) Instructor Email The world's population in the context of
More informationSwitchboard Language Model Improvement with Conversational Data from Gigaword
Katholieke Universiteit Leuven Faculty of Engineering Master in Artificial Intelligence (MAI) Speech and Language Technology (SLT) Switchboard Language Model Improvement with Conversational Data from Gigaword
More informationWhat is PDE? Research Report. Paul Nichols
What is PDE? Research Report Paul Nichols December 2013 WHAT IS PDE? 1 About Pearson Everything we do at Pearson grows out of a clear mission: to help people make progress in their lives through personalized
More informationGr. 9 Geography. Canada: Creating a Sustainable Future DAY 1
Gr. 9 Geography Canada: Creating a Sustainable Future DAY 1 Overall Learning Goals: What are you being asked to do? How are you being evaluated? What is the final product? Assignment Expectations Overall
More informationShared Portable Moodle Taking online learning offline to support disadvantaged students
Shared Portable Moodle Taking online learning offline to support disadvantaged students Stephen Grono, School of Education University of New England, Armidale sgrono2@une.edu.au @calvinbal Shared Portable
More informationHentai High School A Game Guide
Hentai High School A Game Guide Hentai High School is a sex game where you are the Principal of a high school with the goal of turning the students into sex crazed people within 15 years. The game is difficult
More informationBusiness Analytics and Information Tech COURSE NUMBER: 33:136:494 COURSE TITLE: Data Mining and Business Intelligence
Business Analytics and Information Tech COURSE NUMBER: 33:136:494 COURSE TITLE: Data Mining and Business Intelligence COURSE DESCRIPTION This course presents computing tools and concepts for all stages
More informationMTH 215: Introduction to Linear Algebra
MTH 215: Introduction to Linear Algebra Fall 2017 University of Rhode Island, Department of Mathematics INSTRUCTOR: Jonathan A. Chávez Casillas E-MAIL: jchavezc@uri.edu LECTURE TIMES: Tuesday and Thursday,
More informationUniversity of Waterloo School of Accountancy. AFM 102: Introductory Management Accounting. Fall Term 2004: Section 4
University of Waterloo School of Accountancy AFM 102: Introductory Management Accounting Fall Term 2004: Section 4 Instructor: Alan Webb Office: HH 289A / BFG 2120 B (after October 1) Phone: 888-4567 ext.
More informationE C C. American Heart Association. Basic Life Support Instructor Course. Updated Written Exams. February 2016
E C C American Heart Association Basic Life Support Instructor Course Updated Written Exams Contents: Exam Memo Student Answer Sheet Version A Exam Version A Answer Key Version B Exam Version B Answer
More information10 tango! lessons. for THERAPISTS
10 tango! lessons for THERAPISTS 900 Broadway, 8th Floor, New York, NY 10003 blink-twice.com tango! is a registered trademark of Blink Twice, Inc. 2007 Blink Twice, Inc. Hi! Nice to meet you. Wow. You
More informationHow to Apply for Fellowships & Internships Connecting students to global careers!
How to Apply for Fellowships & Internships Connecting students to global careers! Paul Hutchinson Asst. Director, Career Services phutchin@jhsph.edu 2017 E. Monument St. 410-955-3034 Key Characteristics
More informationPart I. Figuring out how English works
9 Part I Figuring out how English works 10 Chapter One Interaction and grammar Grammar focus. Tag questions Introduction. How closely do you pay attention to how English is used around you? For example,
More informationEssay on importance of good friends. It can cause flooding of the countries or even continents..
Essay on importance of good friends. It can cause flooding of the countries or even continents.. Essay on importance of good friends >>>CLICK HERE
More informationExperience Corps. Mentor Toolkit
Experience Corps Mentor Toolkit 2 AARP Foundation Experience Corps Mentor Toolkit June 2015 Christian Rummell Ed. D., Senior Researcher, AIR 3 4 Contents Introduction and Overview...6 Tool 1: Definitions...8
More informationThinking Maps for Organizing Thinking
Ann Delores Sean Thinking Maps for Organizing Thinking Roosevelt High School Students and Teachers share their reflections on the use of Thinking Maps in Social Studies and other Disciplines Students Sean:
More informationwriting good objectives lesson plans writing plan objective. lesson. writings good. plan plan good lesson writing writing. plan plan objective
Writing good objectives lesson plans. Write only what you think, writing good objectives lesson plans. Become lesson to our custom essay good writing and plan Free Samples to check the quality of papers
More informationCorpus Linguistics (L615)
(L615) Basics of Markus Dickinson Department of, Indiana University Spring 2013 1 / 23 : the extent to which a sample includes the full range of variability in a population distinguishes corpora from archives
More informationWhy Pay Attention to Race?
Why Pay Attention to Race? Witnessing Whiteness Chapter 1 Workshop 1.1 1.1-1 Dear Facilitator(s), This workshop series was carefully crafted, reviewed (by a multiracial team), and revised with several
More informationFundraising 101 Introduction to Autism Speaks. An Orientation for New Hires
Fundraising 101 Introduction to Autism Speaks An Orientation for New Hires May 2013 Welcome to the Autism Speaks family! This guide is meant to be used as a tool to assist you in your career and not just
More informationRead&Write Gold is a software application and can be downloaded in Macintosh or PC version directly from https://download.uky.edu
UK 101 - READ&WRITE GOLD LESSON PLAN I. Goal: Students will be able to describe features of Read&Write Gold that will benefit themselves and/or their peers. II. Materials: There are two options for demonstrating
More informationIntroduction to Causal Inference. Problem Set 1. Required Problems
Introduction to Causal Inference Problem Set 1 Professor: Teppei Yamamoto Due Friday, July 15 (at beginning of class) Only the required problems are due on the above date. The optional problems will not
More informationCONTENTS. Resources. Labels Text Page Web Page Link to a File or Website Display a Directory Add an IMS Content Package.
Guide for beginners CONTENTS Foreword: an introduction to Moodle and this guide for beginners 03 Resources Labels Text Page Web Page Link to a File or Website Display a Directory Add an IMS Content Package
More informationCarnegie Mellon University Department of Computer Science /615 - Database Applications C. Faloutsos & A. Pavlo, Spring 2014.
Carnegie Mellon University Department of Computer Science 15-415/615 - Database Applications C. Faloutsos & A. Pavlo, Spring 2014 Homework 2 IMPORTANT - what to hand in: Please submit your answers in hard
More informationTHE REFLECTIVE SUPERVISION TOOLKIT
Sample of THE REFLECTIVE SUPERVISION TOOLKIT Daphne Hewson and Michael Carroll 2016 Companion volume to Reflective Practice in Supervision D. Hewson and M. Carroll The Reflective Supervision Toolkit 1
More informationTwitter Sentiment Classification on Sanders Data using Hybrid Approach
IOSR Journal of Computer Engineering (IOSR-JCE) e-issn: 2278-0661,p-ISSN: 2278-8727, Volume 17, Issue 4, Ver. I (July Aug. 2015), PP 118-123 www.iosrjournals.org Twitter Sentiment Classification on Sanders
More informationessays. for good college write write good how write college college for application
How to write good essays for college application. ws apart from other application writing essays. Essay Writer for a whole collection of articles written solely to provide good essay tips - Colege essay
More informationAPA Basics. APA Formatting. Title Page. APA Sections. Title Page. Title Page
APA Formatting APA Basics Abstract, Introduction & Formatting/Style Tips Psychology 280 Lecture Notes Basic word processing format Double spaced All margins 1 Manuscript page header on all pages except
More informationPLANT SCIENCE/SOIL SCIENCE 2100 INTRODUCTION TO SOIL SCIENCE
PLANT SCIENCE/SOIL SCIENCE 2100 INTRODUCTION TO SOIL SCIENCE LECTURE: M W F 8:00-8:50 2-16 Agriculture Building LECTURER: Randy Miles Secretary: Leslie Palmer 334 ABNR Building 302 ABNR OFFICE PHONE: 882-6607
More informationGrammar Lesson Plan: Yes/No Questions with No Overt Auxiliary Verbs
Grammar Lesson Plan: Yes/No Questions with No Overt Auxiliary Verbs DIALOGUE: Hi Armando. Did you get a new job? No, not yet. Are you still looking? Yes, I am. Have you had any interviews? Yes. At the
More informationGet a Smart Start with Youth
Toolkit work bene ts youth Get a Smart Start with Youth Y O U T H I N T R A N S I T I O N Toolkit Overview Using the Toolkit TOOLKIT OVERVIEW The core component of the Get a Smart Start & Take Charge Toolkit
More informationMathematics Success Grade 7
T894 Mathematics Success Grade 7 [OBJECTIVE] The student will find probabilities of compound events using organized lists, tables, tree diagrams, and simulations. [PREREQUISITE SKILLS] Simple probability,
More informationWriting Unit of Study
Writing Unit of Study Supplemental Resource Unit 3 F Literacy Fundamentals Writing About Reading Opinion Writing 2 nd Grade Welcome Writers! We are so pleased you purchased our supplemental resource that
More informationTutoring First-Year Writing Students at UNM
Tutoring First-Year Writing Students at UNM A Guide for Students, Mentors, Family, Friends, and Others Written by Ashley Carlson, Rachel Liberatore, and Rachel Harmon Contents Introduction: For Students
More informationScience Fair Rules and Requirements
Science Fair Rules and Requirements Dear Parents, Soon your child will take part in an exciting school event a science fair. At Forest Park, we believe that this annual event offers our students a rich
More informationdisadvantage research and research research
Advantages and disadvantages of internet for research. To the people of France, it is their disadvantage research and is one that they and advantage about. for. Advantages and disadvantages of internet
More informationa) analyse sentences, so you know what s going on and how to use that information to help you find the answer.
Tip Sheet I m going to show you how to deal with ten of the most typical aspects of English grammar that are tested on the CAE Use of English paper, part 4. Of course, there are many other grammar points
More informationSummarizing A Nonfiction
A Nonfiction Free PDF ebook Download: A Nonfiction Download or Read Online ebook summarizing a nonfiction in PDF Format From The Best User Guide Database Texts (written or spoken). a Process. Ideas in
More informationContents. Foreword... 5
Contents Foreword... 5 Chapter 1: Addition Within 0-10 Introduction... 6 Two Groups and a Total... 10 Learn Symbols + and =... 13 Addition Practice... 15 Which is More?... 17 Missing Items... 19 Sums with
More informationCOMMUNICATING EFFECTIVELY WITH YOUR INSTRUCTOR
COMMUNICATING EFFECTIVELY WITH YOUR INSTRUCTOR Presented by: Dr. Lana Myers & Dr. Lori Hughes 1/30/2014 The Write Place, Building G, Room 103 1 PRESENTATION OUTLINE Introduction Email activity Ways to
More informationHow long did... Who did... Where was... When did... How did... Which did...
(Past Tense) Who did... Where was... How long did... When did... How did... 1 2 How were... What did... Which did... What time did... Where did... What were... Where were... Why did... Who was... How many
More informationManagerial Decision Making
Course Business Managerial Decision Making Session 4 Conditional Probability & Bayesian Updating Surveys in the future... attempt to participate is the important thing Work-load goals Average 6-7 hours,
More informationFoothill College Fall 2014 Math My Way Math 230/235 MTWThF 10:00-11:50 (click on Math My Way tab) Math My Way Instructors:
This is a team taught directed study course. Foothill College Fall 2014 Math My Way Math 230/235 MTWThF 10:00-11:50 www.psme.foothill.edu (click on Math My Way tab) Math My Way Instructors: Instructor:
More informationMASTER OF SCIENCE (M.S.) MAJOR IN COMPUTER SCIENCE
Master of Science (M.S.) Major in Computer Science 1 MASTER OF SCIENCE (M.S.) MAJOR IN COMPUTER SCIENCE Major Program The programs in computer science are designed to prepare students for doctoral research,
More informationNaviance / Family Connection
Naviance / Family Connection Welcome to Naviance/Family Connection, the program Lake Central utilizes for students applying to college. This guide will teach you how to use Naviance as a tool in the college
More informationACTL5103 Stochastic Modelling For Actuaries. Course Outline Semester 2, 2014
UNSW Australia Business School School of Risk and Actuarial Studies ACTL5103 Stochastic Modelling For Actuaries Course Outline Semester 2, 2014 Part A: Course-Specific Information Please consult Part B
More informationCLASSIFICATION OF TEXT DOCUMENTS USING INTEGER REPRESENTATION AND REGRESSION: AN INTEGRATED APPROACH
ISSN: 0976-3104 Danti and Bhushan. ARTICLE OPEN ACCESS CLASSIFICATION OF TEXT DOCUMENTS USING INTEGER REPRESENTATION AND REGRESSION: AN INTEGRATED APPROACH Ajit Danti 1 and SN Bharath Bhushan 2* 1 Department
More informationInstructor. Darlene Diaz. Office SCC-SC-124. Phone (714) Course Information
Division of Math and Sciences Spring 2016 Section Number #19635 Mathematics 105: Math for Liberal Arts Students ONLINE 3 Units 7:30-9:30 p.m. Selected Days (2/8, 3/28, 6/3) in SCC-SC-111 February 8, 2015
More informationStacks Teacher notes. Activity description. Suitability. Time. AMP resources. Equipment. Key mathematical language. Key processes
Stacks Teacher notes Activity description (Interactive not shown on this sheet.) Pupils start by exploring the patterns generated by moving counters between two stacks according to a fixed rule, doubling
More informationALL-IN-ONE MEETING GUIDE THE ECONOMICS OF WELL-BEING
ALL-IN-ONE MEETING GUIDE THE ECONOMICS OF WELL-BEING LeanIn.0rg, 2016 1 Overview Do we limit our thinking and focus only on short-term goals when we make trade-offs between career and family? This final
More information