Project Presentations CT @ VT Project Presentations Daniel Almeida - - PowerPoint PPT Presentation

project presentations
SMART_READER_LITE
LIVE PREVIEW

Project Presentations CT @ VT Project Presentations Daniel Almeida - - PowerPoint PPT Presentation

Introduction to Computational Thinking Project Presentations CT @ VT Project Presentations Daniel Almeida Airport Locator Robert Ashton Political Representation Zachary Barbaria Drug Usage Kyle Bentley - Hospital


slide-1
SLIDE 1

Introduction to Computational Thinking

Project Presentations

slide-2
SLIDE 2

CT@VT Project Presentations

Daniel Almeida – Airport Locator

Robert Ashton – Political Representation

Zachary Barbaria – Drug Usage

Kyle Bentley - Hospital Information

Jenna Bordeaux - Early Childbearing

Brendon Cobb – Yelp Ratings

Santonio Fernandez - Exoplanets

Cameron Fite – BitTorrent Study

Lauren Fong – Horse Race Study

Alyssa Garrett – Reddit Analysis

Claire Jessie – Gendered Language Usage

Daniel Kramer – Citation Finding

Ryan McDonald – Baseball Playoffs

Joseph Muha – Medal of Honor Recipients

Emily Parker – Drug Use in Youth/Young Adults

Varsh Peddireddy – Cancer Analysis

Sage Sardelis – Housing Affordability

Nathan Sexton – Auto Fuel Efficiency

Michael Singleton – Image Analysis

Lexie Tsantes – US Teacher/Student Study

Amber Woods – Personality Tests

Joseph Zielinski – Hydropower Potential

Slide 2 Fall 201 2014

slide-3
SLIDE 3

CT@VT Daniel Almeida

Slide 3 Fall 201 2014

FAA Data Stream

Cohort 2 – The Fantastic 6 (more like 3 now)

slide-4
SLIDE 4

CT@VT Daniel Almeida

Slide 4 Fall 201 2014

The Data

 Facilities  Runways  Schedules

http://www.miami-airport.com/2011/JUL02.jpg http://sheridan.ryanprice.net/dsgn18081/images/travel-board.jpg http://thevocalteacher.com/wp-content/uploads/2011/07/runway3.jpg

slide-5
SLIDE 5

CT@VT Daniel Almeida

Slide 5 Fall 201 2014

Intended Use

 Based on an aircraft’s location, the software:

 Finds suitable runways for emergency landing  Distance from aircraft (do we have enough fuel)?  Could get creative; use data from Airbus or

Boeing, situations such as no engine landing

 Or other ideas such as finding times/dates for

scheduled flights, etc.

slide-6
SLIDE 6

CT@VT Robert Ashton

Slide 6 Fall 201 2014

slide-7
SLIDE 7

CT@VT Robert Ashton

Slide 7 Fall 201 2014

slide-8
SLIDE 8

CT@VT Zachary Barbaria

Slide 8 Fall 201 2014

slide-9
SLIDE 9

CT@VT Zachary Barbaria

Slide 9 Fall 201 2014

slide-10
SLIDE 10

CT@VT Kyle Bentley

Slide 10 Fall 201 2014

slide-11
SLIDE 11

CT@VT Kyle Bentley

Slide 11 Fall 201 2014

slide-12
SLIDE 12

CT@VT Jenna Bordeaux

Slide 12 Fall 201 2014

slide-13
SLIDE 13

CT@VT Jenna Bordeaux

Slide 13 Fall 201 2014

slide-14
SLIDE 14

CT@VT Jenna Bordeaux

Slide 14 Fall 201 2014

slide-15
SLIDE 15

CT@VT Brendon Cobb

Yelp Ratings

Slide 15 Fall 201 2014

slide-16
SLIDE 16

CT@VT Brendon Cobb

Useful Data

User submitted reviews to rate local businesses.

Helps tier businesses.

Ranges from restaurants to shop centers.

Look at the best businesses to see what makes them successful.

Fall 201 2014 Slide 16

slide-17
SLIDE 17

CT@VT Brendon Cobb

Possible Uses

 Creates a database ranking the best shops and

restaurants in a local area.

 Could be used by tourists to know where the best places to

go during their visit.

 Would allow customers to have the best experience from

the beginning.

 Can also be used to see how the top ranked businesses

are doing so well so new or old businesses could try to adopt a similar structure.

Slide 17 Fall 201 2014

slide-18
SLIDE 18

CT@VT Santonio Fernandez

Slide 18 Fall 201 2014

slide-19
SLIDE 19

CT@VT Santonio Fernandez

Slide 19 Fall 201 2014

slide-20
SLIDE 20

CT@VT Santonio Fernandez

Slide 20 Fall 201 2014

slide-21
SLIDE 21

CT@VT Cameron Fite

Slide 21 Fall 201 2014

slide-22
SLIDE 22

CT@VT Cameron Fite

Slide 22 Fall 201 2014

slide-23
SLIDE 23

CT@VT Cameron Fite

Slide 23 Fall 201 2014

slide-24
SLIDE 24

CT@VT Lauren Fong

Slide 24 Fall 201 2014

slide-25
SLIDE 25

CT@VT Lauren Fong

Slide 25 Fall 201 2014

slide-26
SLIDE 26

CT@VT Lauren Fong

Slide 26 Fall 201 2014

slide-27
SLIDE 27

CT@VT Alyssa Garrett

Slide 27 Fall 201 2014

slide-28
SLIDE 28

CT@VT Alyssa Garrett

Slide 28 Fall 201 2014

slide-29
SLIDE 29

CT@VT Claire Jessie

Slide 29 Fall 201 2014

The Idea :

To study how scripts/ pieces of literature use different language for each sex.

words=data

slide-30
SLIDE 30

CT@VT Claire Jessie

Slide 30 Fall 201 2014

The Source:

scripts novels (maybe) other media

Fiction and what not

slide-31
SLIDE 31

CT@VT Daniel Kramer

Slide 31 Fall 201 2014

What is Project Gutenberg

 Project Gutenberg offers 50,000+ ebooks

to download or read online.

 Michael Hart, the founder of Gutenberg

also invented the eBook and designed this website to encourage readers from anywhere in the world.

slide-32
SLIDE 32

CT@VT Daniel Kramer

Slide 32 Fall 201 2014

slide-33
SLIDE 33

CT@VT Daniel Kramer

Slide 33 Fall 201 2014

Features/Uses

 As you can see, Gutenberg has a catalog, separation by

genre, different languages, mobile site, etc.

 With the amount of books the Gutenberg has and the

resources it gives you to find them, using a data stream from Gutenberg could be very useful to college students.

 When writing a research paper, in the English Major,

finding excerpts from books isn’t the toughest thing in the world, but finding their exact page number and citation information could get cumbersome. Making an application to pull a book’s info straight from the website and cite it automatically would save research writers a lot

  • f time.
slide-34
SLIDE 34

CT@VT Ryan McDonald

Slide 34 Fall 201 2014

slide-35
SLIDE 35

CT@VT Ryan McDonald

Slide 35 Fall 201 2014

slide-36
SLIDE 36

CT@VT Ryan McDonald

Slide 36 Fall 201 2014

slide-37
SLIDE 37

CT@VT Joseph Muha

Slide 37 Fall 201 2014

My Data Stream/Project

slide-38
SLIDE 38

CT@VT Joseph Muha

Slide 38 Fall 201 2014

My Data Stream

 Congressional Medal of Honor archive  http://www.cmohs.org/recipient-archive.php  Each Recipients Information

 Name  Branch  Home town  Where Awarded MOH

slide-39
SLIDE 39

CT@VT Joseph Muha

Slide 39 Fall 201 2014

My Project

 Map the information by plotting dot on

a world map

 Add search to only show certain dots  Link dots back to the archive

slide-40
SLIDE 40

CT@VT Emily Parker

Slide 40 Fall 201 2014

Monitoring the Future Data Stream

slide-41
SLIDE 41

CT@VT Emily Parker

Slide 41 Fall 201 2014

What is it?

 Ongoing study of the behaviors, attitudes, and values of

secondary school students, college students, and young adults.

 Repeated series of surveys in which the same segments

  • f the population are presented with the same questions
  • ver a period of years and see how the answers change.
slide-42
SLIDE 42

CT@VT Emily Parker

Slide 42 Fall 201 2014

What Interested me about this data stream?

 Interested to see the trends in drug use

among the younger population

 Help me in my future career as a counseling

psychologist

 Interested in behaviors and attitudes as a

result of drug use

slide-43
SLIDE 43

CT@VT Emily Parker

Slide 43 Fall 201 2014

What kind of problem could you solve with this data?

 Reduce crime  Reduce accidents  Change beliefs, attitudes, and behaviors of

young people in the United States.

 Protection of the environment  Monitor progress toward national health goals

slide-44
SLIDE 44

CT@VT Varsh Peddireddy

Slide 44 Fall 201 2014

slide-45
SLIDE 45

CT@VT Varsh Peddireddy

Slide 45 Fall 201 2014

slide-46
SLIDE 46

CT@VT Varsh Peddireddy

Slide 46 Fall 201 2014

slide-47
SLIDE 47

CT@VT Sage Sardelis

Slide 47 Fall 201 2014

slide-48
SLIDE 48

CT@VT Sage Sardelis

Slide 48 Fall 201 2014

slide-49
SLIDE 49

CT@VT Sage Sardelis

Slide 49 Fall 201 2014

slide-50
SLIDE 50

CT@VT Nathan Sexton

Slide 50 Fall 201 2014

slide-51
SLIDE 51

CT@VT Nathan Sexton

Slide 51 Fall 201 2014

slide-52
SLIDE 52

CT@VT Michael Singleton

Slide 52 Fall 201 2014

slide-53
SLIDE 53

CT@VT Michael Singleton

Slide 53 Fall 201 2014

slide-54
SLIDE 54

CT@VT Michael Singleton

Slide 54 Fall 201 2014

slide-55
SLIDE 55

CT@VT Lexie Tsantes

Slide 55 Fall 201 2014

slide-56
SLIDE 56

CT@VT Lexie Tsantes

Slide 56 Fall 201 2014

slide-57
SLIDE 57

CT@VT Lexie Tsantes

Slide 57 Fall 201 2014

slide-58
SLIDE 58

CT@VT Amber Woods

Slide 58 Fall 201 2014

slide-59
SLIDE 59

CT@VT Amber Woods

Slide 59 Fall 201 2014

slide-60
SLIDE 60

CT@VT Amber Woods

Slide 60 Fall 201 2014

slide-61
SLIDE 61

CT@VT Amber Woods

Slide 61 Fall 201 2014

slide-62
SLIDE 62

CT@VT Joseph Zielinski

Slide 62 Fall 201 2014

slide-63
SLIDE 63

CT@VT Joseph Zielinski

Slide 63 Fall 201 2014

slide-64
SLIDE 64

CT@VT Joseph Zielinski

Slide 64 Fall 201 2014