Bob Scardamalia of RLS Demographics gave a presentation about changes to census data and the American Community Survey (ACS). The presentation covered how the ACS provides annual estimates for areas down to the block group level as an alternative to the traditional census long form, but that the ACS data has different collection methods and periods of reference than census data. It also warned that comparing ACS estimates requires attention to the time periods and geographies being compared.
The document discusses a research task assessing the importance and use of group quarters data from the American Community Survey (ACS). It provides the results of a survey of 89 respondents on their use of total population, household population, and group quarters population data from the ACS. It finds that ACS group quarters data is frequently used for allocating funds, providing data, and policy/program development and administration, especially by federal, state and local agencies. Characteristics of those living in group quarters such as age, disability status, and location are also important. The document concludes some New York state laws and 20 state and federal programs require ACS group quarters or population characteristics data for determining eligibility or allocating funds.
Dana Holding Corporation CEO Gary Convis gave a speech about how the company is transcending turbulence in the automotive industry. He discussed how Dana has implemented an Operational Excellence initiative using the Dana Operating System to drive process improvements across its global manufacturing operations. Some early results include reduced changeover times, increased production capacity without extra resources, and lower scrap rates. Convis emphasized that while long-term solutions like alternative-energy vehicles are important, there are also benefits to be gained from systematic process improvements and returning to fundamentals. Dana is focusing on growth by leveraging its diversification in sectors like off-highway vehicles and expanding globally.
This document describes a data marketing company that provides targeted digital advertising services. It offers access to global audiences across hundreds of millions of mobile users and places ads on thousands of websites and apps. The company uses proprietary consumer data and machine learning algorithms to optimize ad campaigns for goals like clicks, leads, downloads or cost per action. It offers both self-service and managed service models, and provides features like audience targeting, retargeting, video ads, and real-time reporting.
This document summarizes and compares different measures of inflation and cost of living in the United States. It discusses the Consumer Price Index (CPI) produced by the Bureau of Labor Statistics, the Consumer Expenditure Survey conducted by the Census Bureau, and other inflation measures like the GDP deflator. It also describes several sources that provide cost of living comparisons between geographic areas, including the ACCRA Cost of Living Index, ERI Cost of Living Analysis, and HUD Fair Market Rents. The document advises readers to consider the methodology and geographic coverage when choosing a data source for cost of living comparisons.
This document summarizes demographic trends in New York State. It discusses the state's historical population changes, including periods of high foreign immigration and the post-World War II baby boom. The document also outlines migration patterns, noting that many residents move to or from neighboring states like New Jersey. Additionally, it provides brief overviews of New York's population in terms of age, race, ethnicity and arts participation, citing statistics from the U.S. Census Bureau and National Endowment for the Arts.
The document provides an overview of the American Community Survey (ACS), describing what it is, how data is collected and released, and key differences between the ACS and the Decennial Census. The ACS is a large, continuous demographic survey that produces annual and multi-year population estimates for small areas. Data is collected each month and products are released the year after collection. The ACS uses a different methodology than the Census, with differences in residency rules, sample weighting, and how data is allocated. It produces estimates over time periods rather than a single point in time.
Bob Scardamalia of RLS Demographics gave a presentation about changes to census data and the American Community Survey (ACS). The presentation covered how the ACS provides annual estimates for areas down to the block group level as an alternative to the traditional census long form, but that the ACS data has different collection methods and periods of reference than census data. It also warned that comparing ACS estimates requires attention to the time periods and geographies being compared.
The document discusses a research task assessing the importance and use of group quarters data from the American Community Survey (ACS). It provides the results of a survey of 89 respondents on their use of total population, household population, and group quarters population data from the ACS. It finds that ACS group quarters data is frequently used for allocating funds, providing data, and policy/program development and administration, especially by federal, state and local agencies. Characteristics of those living in group quarters such as age, disability status, and location are also important. The document concludes some New York state laws and 20 state and federal programs require ACS group quarters or population characteristics data for determining eligibility or allocating funds.
Dana Holding Corporation CEO Gary Convis gave a speech about how the company is transcending turbulence in the automotive industry. He discussed how Dana has implemented an Operational Excellence initiative using the Dana Operating System to drive process improvements across its global manufacturing operations. Some early results include reduced changeover times, increased production capacity without extra resources, and lower scrap rates. Convis emphasized that while long-term solutions like alternative-energy vehicles are important, there are also benefits to be gained from systematic process improvements and returning to fundamentals. Dana is focusing on growth by leveraging its diversification in sectors like off-highway vehicles and expanding globally.
This document describes a data marketing company that provides targeted digital advertising services. It offers access to global audiences across hundreds of millions of mobile users and places ads on thousands of websites and apps. The company uses proprietary consumer data and machine learning algorithms to optimize ad campaigns for goals like clicks, leads, downloads or cost per action. It offers both self-service and managed service models, and provides features like audience targeting, retargeting, video ads, and real-time reporting.
This document summarizes and compares different measures of inflation and cost of living in the United States. It discusses the Consumer Price Index (CPI) produced by the Bureau of Labor Statistics, the Consumer Expenditure Survey conducted by the Census Bureau, and other inflation measures like the GDP deflator. It also describes several sources that provide cost of living comparisons between geographic areas, including the ACCRA Cost of Living Index, ERI Cost of Living Analysis, and HUD Fair Market Rents. The document advises readers to consider the methodology and geographic coverage when choosing a data source for cost of living comparisons.
This document summarizes demographic trends in New York State. It discusses the state's historical population changes, including periods of high foreign immigration and the post-World War II baby boom. The document also outlines migration patterns, noting that many residents move to or from neighboring states like New Jersey. Additionally, it provides brief overviews of New York's population in terms of age, race, ethnicity and arts participation, citing statistics from the U.S. Census Bureau and National Endowment for the Arts.
The document provides an overview of the American Community Survey (ACS), describing what it is, how data is collected and released, and key differences between the ACS and the Decennial Census. The ACS is a large, continuous demographic survey that produces annual and multi-year population estimates for small areas. Data is collected each month and products are released the year after collection. The ACS uses a different methodology than the Census, with differences in residency rules, sample weighting, and how data is allocated. It produces estimates over time periods rather than a single point in time.
[TVZ računarstvo] Dinamičke web aplikacije, predavanje 11. Stipe Predanic
Predavanje iz Dinamičkih web aplikacija, 11. predavanje
Video: https://www.youtube.com/watch?v=0othfQg9AP8&list=PLYqeapOP_CtS0kbdbo_GXFgnS81JGAd8L&index=12
Tema: Izrada web aplikacija za mobilne uređaje
Datum snimanja: 19.5.2016
PowerPoint prezentacija 'Primjena Web 2.0 alata u obrazovanju' opisuje alat Gliffy koji služi za izradu dijagrama, grafikona, tehničkih crteža i tablica. Opisane su sve njegove karakteristike. Također, navedeni su primjeri korištenja alata u obrazovanju i osmišljena pripadajuća e-aktivnost. Na kraju su navedeni prednosti i nedostaci web alata.
Seminar iz kolegija Izvannastavne informatičke i tehničke aktivnosti o Web 2.0. alatu Google Drive-u. Prezentacije se sastoji od karakteristika Web 2.0. alata općenito i samog Google Drive-a. Nadalje, o primjeni alata u nastavi te je i opisan primjer e-aktivnosti u nastavi. Na kraju ističemo neke prednosti, ali i nedostatke Google Drive alata.
Oršula Cvitan
Daniela Jovašević
Valentina Družinec
[TVZ računarstvo] Dinamičke web aplikacije, predavanje 11. Stipe Predanic
Predavanje iz Dinamičkih web aplikacija, 11. predavanje
Video: https://www.youtube.com/watch?v=0othfQg9AP8&list=PLYqeapOP_CtS0kbdbo_GXFgnS81JGAd8L&index=12
Tema: Izrada web aplikacija za mobilne uređaje
Datum snimanja: 19.5.2016
PowerPoint prezentacija 'Primjena Web 2.0 alata u obrazovanju' opisuje alat Gliffy koji služi za izradu dijagrama, grafikona, tehničkih crteža i tablica. Opisane su sve njegove karakteristike. Također, navedeni su primjeri korištenja alata u obrazovanju i osmišljena pripadajuća e-aktivnost. Na kraju su navedeni prednosti i nedostaci web alata.
Seminar iz kolegija Izvannastavne informatičke i tehničke aktivnosti o Web 2.0. alatu Google Drive-u. Prezentacije se sastoji od karakteristika Web 2.0. alata općenito i samog Google Drive-a. Nadalje, o primjeni alata u nastavi te je i opisan primjer e-aktivnosti u nastavi. Na kraju ističemo neke prednosti, ali i nedostatke Google Drive alata.
Oršula Cvitan
Daniela Jovašević
Valentina Družinec
2. Omogućavaju online
◦ kreiranje
◦ izmjenu
◦ razmjenu
◦ objavu
dokumenata nastalih kao rezultat suradnje više
korisnika
Korisnici više nisu pasivni čitatelji internet
stranica, već imaju prilike sudjelovati u njihovoj
izgradnji i izmjeni.
3. Gliffy je web 2.0 alat za izradu različitih grafičkih
prikaza:
◦ dijagrama tijeka
◦ tlocrta
◦ Vennovih dijagrama
◦ mrežnih i organizacijskih grafičkih prikaza
◦ ...
Web - based service -> usluga zasnovana na Webu
Pokreće se u Web pregledniku
4. Punu funkcionalnost desktop programa dobijemo
bez potrebnog preuzimanja, instalacije ili
održavanja
Besplatan je!
Jednostavan!
Omogućuje suradnju sa ostalim korisnicima
5.
6. Možemo:
◦ koristiti gotove predloške
◦ sami kreirati grafičke prikaze
◦ elemente oblikovati (mijenjati boju, veličinu)
◦ povezivati elemente
◦ pohranjivati u različitim oblicima:
na korisničko računalo (XML, SVG, JPEG...)
u online bazu podataka,
◦ ugrađivati grafičke prikaze na internet stranice
(wiki, blog i slično)
7. Dijagrami tijeka podataka (DTP) - grafički prikaz algoritma
koji nam olakšava izradu programa skiciranjem nekih od
osnovnih naredbi sa grafičkim simbolima, i povezujući ih u
jednu cjelinu.
Gliffy na nastavi možemo primjeniti za upoznavanje učenike
sa ovom vrstom dijagrama.
Slijedeći pseudokod crtamo Gliffy alatom:
početak
upiši a, b
c=a+b
ispiši c
kraj
9. 2. Odabiremo željeni element iz kategorije Flow Chart.
3. Elemente oblikujemo mijenjajući boju,
obrub, veličinu u pritiskom na dugme edit
properties.
10. 4. Uređene elemente povezujemo sa alatom connector tool :
Naš dijagram sada izgleda ovako:
11. Osim DTP-a, Gliffy je koristan i kod
konstrukcija računalnih mreža.
Primjer – mala
uredska mreža:
12. Wikipedia - Web 2.0 alati
http://hr.wikipedia.org/wiki/Web_2.0_alati (6.1.2012)
Gliffy – FAQ (često postavljena pitanja)
http://support.gliffy.com/entries/20042928-gliffy-online-
faq (9.1.2012)
