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Concordia Chicago >> A >> 03 (Fall, 2009)
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Concordia Chicago >> A >> 182 (Fall, 2009)
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Concordia Chicago >> A >> 182 (Fall, 2009)
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Concordia Chicago >> A >> 19 (Fall, 2009)
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Concordia Chicago >> A >> 07 (Fall, 2009)
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Concordia Chicago >> A >> 182 (Fall, 2009)
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Concordia Chicago >> A >> 301 (Fall, 2009)
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Concordia Chicago >> A >> 301 (Fall, 2009)
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Concordia Chicago >> INTRO >> 0809 (Fall, 2009)
A note to Intro CS students, Wed Feb 3, 2009: Sorry Im not here today to finish our discussion of how to efficiently use arrays to color the state maps. So, what Id like you to do is to replicate what we did in class on Monday. On the web page there ...
Concordia Chicago >> INTRO >> 0809 (Fall, 2009)
Intro to Computer Science : Spreadsheets Assignment 3: Graphing Background: Note: This background material will need to be taken into account as you analyze the data for this assignment. Read it carefully! The Boston Marathon is the world\'s oldest an...
Concordia Chicago >> INTRO >> 0809 (Fall, 2009)
Intro to Computer Science : Programming in Python Assignment 3: A library of image-processing functions In this assignment, youll create a library of functions in Python that can be used to process images. There are a few important housekeeping items...
Concordia Chicago >> INTRO >> 0809 (Fall, 2009)
Intro to Computer Science : Spreadsheets and Programming Hints on implementing Assignment 2.2 The program design that we created in class We looked at different options: 1. For each pixel in the map, use 50 IF statements to determine what color (red ...
Concordia Chicago >> INTRO >> 0809 (Fall, 2009)
Intro to Computer Science : Spreadsheets Assignment 2: Analyzing Web Data Background: Americans elect their President and Vice President through a method of indirect popular election. On November 4, 2008, voters cast their ballots for a presidential ...
Concordia Chicago >> INTRO >> 0809 (Fall, 2009)
Intro to Computer Science : Programming in Python Assignment6:WorkingwithStrings Name: Part1:Designafunctiontoembedasecretmessageintoapicture. Yourfunctionmaybeidenticaltothatdesignedinclass,ormaybedifferent(improved upon). Name: encodePict Pur...
Concordia Chicago >> INTRO >> 0809 (Fall, 2009)
Intro to Computer Science : Programming in Python Final Quiz This is a 2-week-long quiz that will determine half your grade for the quarter. You will not be handing anything in, but will be assessed as you work through each section of the quiz. Here...
Concordia Chicago >> INTRO >> 0607 (Fall, 2009)
Intro to Computer Science : Karel J Robot : Homework 2 Stair-Sweeper IMPORTANT: This is a homework assignment and a required reading. SO PLEASE ACTUALLY READ ALL OF THE TEXT. Consider the starting and ending situations shown in the diagrams below. K...
Concordia Chicago >> INTRO >> 0809 (Fall, 2009)
Intro to Computer Science : Programming in Python Assignment5:UsingIFstatements Name: Part1:Designafunctiontotakeapicturethatistakenagainstagreenscreen,andput thenongreenpartoverabackgroundimage. Yourfunctionmaybeidenticaltothatdesignedinclass,o...
Concordia Chicago >> INTRO >> 0809 (Fall, 2009)
Intro to Computer Science Quiz 1 Review Sheet This quiz will be part paper-and-pencil, and part hands-on using the computer. You will be provided with a Python Function Reference Sheet; aside from your brain, this is the only resource you may use dur...
Concordia Chicago >> INTRO >> 0809 (Fall, 2009)
Intro to Computer Science : : Spreadsheets Assignment 4 For the presidential inauguration on January 20th, more than a million people were expected to crowd the National Mall. How far back from the capital would the crowd extend? A picture works bet...
Concordia Chicago >> INTRO >> 0809 (Fall, 2009)
Intro to Computer Science : Programming in Python Name: Programming with Sounds, Part 1 Exercise 1 Write a function that doubles the amplitude of the sound (i.e., doubles the value of each sample). Test your function using the sound gettysburg10.wav....
Concordia Chicago >> INTRO >> 0809 (Fall, 2009)
Intro to Computer Science : Programming in Python Programming with Sounds, Part 3 Name: Exercise 6 Lets return to thinking about volume control. As you discovered, when you increase the volume too much, clipping occurs, which doesnt sound very good! ...
Concordia Chicago >> INTRO >> 0809 (Fall, 2009)
Intro to Computer Science : Programming in Python Programming with Sounds, Part 2 Exercise 4 Splicing is putting two or more sounds together, one after another. 4.1: Write a splice function that takes 2 sounds as parameters and returns a sound. Test...
Concordia Chicago >> INTRO >> 0809 (Fall, 2009)
Intro to Computer Science : Programming in Python Name: Assignment 2: Simple functions in Python a. Work through Chapter 2 of Introduction to Computing and Programming in Python. Show me all of the recipes as you do them, and check them off. Recipe 1...
Concordia Chicago >> INTRO >> 0809 (Fall, 2009)
Intro to Computer Science : Programming in Python Name: Programming with Sounds, Part 4 Exercise 7 How does a sound change if you change the frequency? The length will change: frequency is measured in samples per second, so doubling the frequency ma...
Concordia Chicago >> INTRO >> 0809 (Fall, 2009)
Intro to Computer Science : Programming in Python Name: Programming with Sounds, Part 5 Exercise 9 Is there any credence to the rumors that if you play some songs backwards, youll hear hidden messages? To help explore this, youll need a function that...
Concordia Chicago >> INTRO >> 0607 (Fall, 2009)
Intro to Computer Science : Karel J Robot : Homework 6 Steeplechase Program a robot to run a mile-long (8-block) steeplechase; that is, a hurdle race where the hurdles can be of differing heights. (The robots course is shown in red in the example bel...
Concordia Chicago >> INTRO >> 0809 (Fall, 2009)
Intro to Computer Science : Spreadsheets and Programming Last part of Assignment 2: make it easy to use and test it on other data First, make it easy to use. Now that your program is working for the 2008 data, make it easy to use. Write a function th...
Concordia Chicago >> APCSSUMMER >> 2008 (Fall, 2009)
APCS : Lab 8 SuperBot It\'s often helpful to build up your own library of useful classes. Start by making a SuperBot. A SuperBot should be able to do everything that a Robot can do (and, by extension, that an UrRobot can do), plus a few more things. T...
Concordia Chicago >> APCSSUMMER >> 2008 (Fall, 2009)
APCS : Bonus Project 1 Karel has taken a part time job as a gardener. Karels speciality is planting beepers. His current task is to plant one and only one beeper on each corner around the + shaped wall as shown below. You will probably want to make ...
Concordia Chicago >> INTRO >> 0708 (Fall, 2009)
Intro to Computer Science : Karel J Robot : Homework 7 Robot Arithmetic Part 1: create a robot that can sum two piles of beepers into a third pile (without disturbing the original two piles). Example: (download add1.kwld from the class web site) Star...
Concordia Chicago >> INTRO >> 0607 (Fall, 2009)
Intro to Computer Science : Web Design : Redesigning Pages In this assignment you will apply all the principles of web page design that we have discussed and read about while you create a new design for two different web pages. Implement your design...
Concordia Chicago >> APCSSUMMER >> 2008 (Fall, 2009)
APCS : Lab 1 When riding a bicycle the power you need to put into the pedals to go a certain speed is roughly proportional to the cube of the speed you want to go. Specifically, the power P (in watts) needed for a bike rider of Mr. Frankes size and w...
Concordia Chicago >> APCSSUMMER >> 2008 (Fall, 2009)
APCS : Lab 13 Decoding and Encoding Messages Background Information A char is a primitive data type that represents one alpha-numeric character. A character is really an integer that is mapped one-to-one to some table of characters. ASCII is the orig...
Concordia Chicago >> INTRO >> 0708 (Fall, 2009)
Intro to Computer Science : Web Design : Redesigning Pages In this assignment you will apply all the principles of web page design that we have discussed and read about while you create a new design for a web page. Implement your design using the pr...
Concordia Chicago >> MATH >> 16300 (Fall, 2009)
A quick note on uniform convergence. This is a brief giude on how to approach problems asking for unifrom convergence of sequences and series. Let {fn } be a sequence of functions dened on a set A. How to determine if {fn } converges uniformly on A? ...
Concordia Chicago >> MATH >> 106 (Fall, 2008)
MATH 10600-30 MIDTERM 2 March 5, 2008 Name: Directions: (1) Read through and attempt all problems. NOTE: Dont get bogged down by one problem! If you dont know how to do a problem, skip it and return to it after completing the problems that you do k...
Concordia Chicago >> MATH >> 152 (Fall, 2008)
MATH 152-55 MIDTERM 1 October 19, 2005 Name: Directions: (1) Read through and attempt all problems. (NOTE: Do NOT get bogged down by one problem! If you do not know how to do a problem, skip it and return to it after completing those you do know h...
Concordia Chicago >> MATH >> 16200 (Fall, 2009)
Problem about the -function. Note: The actual homework questions are marked Q1, Q2 and Q3 in the following text. Recall the the -function is dened by the formula (x) = 0 tx1 et dt for x > 0. In class we showed that (n) = (n 1)! for n N. Part ...
Concordia Chicago >> MATH >> 16200 (Fall, 2009)
A note on computing denite integrals. Theorem 13.2 provides a very nice criterion of integrability of functions. What Theorem 13.2 does not tell you is how to compute the actual value of the integral. Below we list several common ways to solve the l...
Concordia Chicago >> CALC >> 3 (Fall, 2009)
CALCULUS 133: MIDTERM 2 REVIEW SHEET Some limits to remember: A lot of the problems weve been doing lately involve taking limits. It is important to remember the following examples. x lim ex = , x x0+ x lim ln(x) = , lim ln(x) = , lim xr = r >...
Concordia Chicago >> MATH >> 16200 (Fall, 2009)
Homework #3. Solutions to selected problems. Problem 2 (vi), Chapter 14 First of all, note that the function in the problem is f (x) = 1 [1/x] 0 if 0 < x 1 if x 0 or x > 1 where [x] is the greatest integer x. The function f (x) is piecewise con...
Concordia Chicago >> SDSS >> 2008 (Fall, 2009)
Measuring the small scale power spectrum with Ly forest data Martin Haehnelt in collaboration with: James Bolton,Tae-Sun Kim, Matteo Viel, Volker Springel, George Becker, Bob Carswell, Antony Lewis, Julien Lesgourgues, Sabino Mattarese, Michael Rauch...
Concordia Chicago >> DARKENERGY >> 2001 (Fall, 2009)
2. Lens population z=0.5 3. Lens model 4. Cosmology z=0 ...
Concordia Chicago >> DARKENERGY >> 2001 (Fall, 2009)
Precision Cosmology with X-ray and SZE Galaxy Cluster Surveys? Joe Mohr University of Illinois Outline SZE and X-ray Observations of Clusters Cluster survey yields and cosmology Precision cosmology and systematics? Dark Energy 2001 I. SZE Observat...
Concordia Chicago >> DARKENERGY >> 2001 (Fall, 2009)
Cosmology with Galaxy Clusters Zoltn Haiman Princeton University Collaborators: Joe Mohr (Illinois) Gil Holder (IAS) Wayne Hu (Chicago) Asantha Cooray (Caltech) Licia Verde (Princeton) David Spergel (Princeton) Dark Energy Workshop, Chicago, 14 Dece...
Concordia Chicago >> DARKENERGY >> 2001 (Fall, 2009)
Dark Energy & GEST: the Galactic Exoplanet Survey Telescope Cosmology with a Exoplanet Search Mission a MIDEX Proposal currently under review $180M NASA OSS Cost cap Related option STEP (Survey for Terrestrial ExoPlanets) is under consideration...
Concordia Chicago >> DARKENERGY >> 2001 (Fall, 2009)
Models for Type Ia Supernovae and Cosmology (P. Hoeflich/ U. Texas at Austin) I) Introduction II) Explosions, light curves and spectra a) Scenarios b) Model calculations c) General correlations d) Individual objects III) Application to cosmology and...
Concordia Chicago >> DARKENERGY >> 2001 (Fall, 2009)
The Alcock-Paczynski Probe of Cosmology Lyman- forest, LSS, And Cosmic Consistency Albert Stebbins Fermilab Dark Energy Workshop Center for Cosmological Physics University of Chicago 15 December 2001 The Alcock-Paczynski Test Alcock & Paczynski (197...
Concordia Chicago >> DARKENERGY >> 2001 (Fall, 2009)
Distinguishing between dark Title energy models: Big issues & SNAPpy details Andreas Albrecht UC Davis COSMOLOGICAL PROBES OF DARK ENERGY Chicago December 2001 Outline Big Issues 1. Not just another parameter 2. Challenges for theorists 3. What are ...
Concordia Chicago >> DARKENERGY >> 2001 (Fall, 2009)
l(l+1)Pl /( ar 10 6 10 8 10 10 1 5 10 100 l 1000 10000 4 Pl /Pl 3 2 1 0 1 10 100 l 1000 10000 0.01 W (z)r(z)/H(z) X=0...
Concordia Chicago >> DARKENERGY >> 2001 (Fall, 2009)
Weak Lensing (and other) Measurements from Ground and Space Observatories Gary Bernstein CfCP Workshop 12/16/01 1. Present State of the Art: New Results from the CTIO Weak Lensing Survey. Mike Jarvis GMB, Phil Fischer , Deano Smith, Tony Tyson & Dave...
Concordia Chicago >> DARKENERGY >> 2001 (Fall, 2009)
What Are Type Ia Supernovae? Jens C. Niemeyer Max-Planck-Institut fr Astrophysik Based on collaborations with: W. Hillebrandt (MPA Garching) S.E. Woosley (UC Santa Cruz) M. Reinecke (MPA Garching) B. Leibundgut (ESO Garching) and others Jens C. Nieme...
Concordia Chicago >> DARKENERGY >> 2001 (Fall, 2009)
Hubble Space Telescope Goddard Space Flight Center Hubble Ultra-Wide-Field Imager (HUFI) David Leckrone Senior Project Scientist for HST December 16, 2001 Hubble Space Telescope Goddard Space Flight Center 11/28/01 2 Hubble Space Telescope Godda...
Concordia Chicago >> DARKENERGY >> 2001 (Fall, 2009)
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Concordia Chicago >> SUPERNOVA >> 2003 (Fall, 2009)
Ground-Based Supernova Surveys November 14-16, 2003 University of Chicago, Chicago, IL USA Friday, November 14, 2003 12:30pm Bus Leaves Hotel For Campus 1:25pm Welcome SESSION I (Chair: Winstein) 1:30pm-2:00pm 2:00pm-2:10pm 2:10pm-2:40pm 2:40pm-3:10p...
Concordia Chicago >> DARKENERGY >> 2001 (Fall, 2009)
Some issues in cluster cosmology Tim McKay University of Michigan Department of Physics 1/30/2002 CFCP Dark Energy Workshop 1 An outline Cluster counting in theory Cluster counting in practice General considerations Optical cluster selection We...
Concordia Chicago >> DARKENERGY >> 2001 (Fall, 2009)
A Primer on SZ Surveys Gil Holder Institute for Advanced Study Outline Sunyaev-Zeldovich effect Upcoming surveys Whats next? Optical Image of Cl 0016+16 (Clowe et al. 2000) ~ 7 ~ 2 h-1 Mpc Hot Gas in Cl 0016+16 (Reese) kT ~ 7.5 keV Sunyaev...
Concordia Chicago >> DARKENERGY >> 2001 (Fall, 2009)
Lloyd Knox & Alan Peel University of California, Davis Exploring Dark Energy With Galaxy Cluster Peculiar Velocities Exploring D.E. with cluster vpec Philosophy Advertisement Cluster velocityvelocity correlation functions as probes of dark energ...
Concordia Chicago >> DARKENERGY >> 2001 (Fall, 2009)
Some numerical solutions The scale factor: a 3 5 3 2 5 2 0 5 0. 5 1 1 The scalar field: 2 5 2 0 5 0 5 1 2 2 5 4 ...
Concordia Chicago >> WMAP >> 2003 (Fall, 2009)
THE UNIVERSITY OF CHICAGO ENRICO FERMI INSTITUTE EFI Mini-Symposium MAP First Year Results The Microwave Anisotropy Probe (MAP) Satellite was launched on June 30, 2001 reaching its observing position at the second Sun-Earth Lagrange point and beginni...
Concordia Chicago >> V >> 73 (Winter, 2009)
File: 02.Redish (final) Created on: 4/13/2006 4:18:00 PM Last Printed: 5/2/2006 10:51:00 AM Settlement Class Actions, the Case-or-Controversy Requirement, and the Nature of the Adjudicatory Process Martin H. Redish & Andrianna D. Kastanek I. INTRO...
Pacific Lutheran >> NSCI >> 4072008 (Fall, 2009)
Summary of blotting techniques 1. Westerns Molecular searching techniques 2. Northerns 3. Southern Complementarity The sequence-specific or shape-specific molecular recognition that occurs when two molecules bind together. Probe-target complex ...
Pacific Lutheran >> NSCI >> 3322003 (Fall, 2009)
Slide 1 Topography of chromosome set Slide 2 Chromosome number Organism Porcupine Armadillo Rice Corn Drosophila Chicken Diploid chromosome number 34 64 24 24 8 78 Slide 3 Chromosome number in wild and cultivated plants Wild species Potato Cotto...
Pacific Lutheran >> NSCI >> 4072006 (Fall, 2009)
Excercise 3. Generating and transforming competent Escherichia coli cells. Purpose: Part 1: To make competent E. coli cells (cells capable of taking up plasmid DNA). Part 2: To transform competent E. coli cells with plasmid DNA and calculate the tran...
Pacific Lutheran >> NSCI >> 4072008 (Fall, 2009)
NEWS FEATURE DARWIN 200 NATURE|Vol 456|20 November 2008 LETS MAKE A MAMMOTH Evolution assumes that extinction is forever. Maybe not. Henry Nicholls asks what it would take to bring the woolly mammoth back from the dead. n 1990 the late Michael Cric...
Pacific Lutheran >> NSCI >> 1612001 (Fall, 2009)
Biology 161 Alexander September 26, 2001 Lecture Outline METABOLISM AND ENERGY A. Metabolism 1. Manages material and energy resources to enable the cell to do work a. molecules are altered by chemical reactions b. the reactions are accelerated by enz...
Concordia Chicago >> CLOUD >> 9 (Fall, 2009)
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Concordia Chicago >> CLOUD >> 9 (Fall, 2009)
THE 1989 SOCIOECONOMIC INDEX OF OCCUPATIONS: CONSTRUCTION FROM THE 1989 OCCUPATIONAL PRESTIGE SCORES Keiko Nakao University of New Mexico Judi th Treas University of California, Irvine GSS Methodological Report No. 74 May 1992 This research w...
Concordia Chicago >> CLOUD >> 9 (Fall, 2009)
Al truism in Contemporary America: A Report from the National Altruism Study Tom W. Smith National Opinion Research Center Uni versi ty of Chicago GSS Topical Report No. 34 Report prepared for the Fetzer Institute June, 2003 In troduction Altru...
Concordia Chicago >> CLOUD >> 9 (Fall, 2009)
Computing 1989 Occupational Prestige Scores Keiko Nakao Department of Sociology University of Southern California Judith Treas Department of Sociology University of California, Irvine General Social Survey Metho9ological Report Number 70 1990 Thi...
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