Big Idea #3

Data and information facilitate the creation of knowledge.

Learning Objectives:
3.1.1 Use computers to process information, find patterns, and test hypotheses about digitally processed information to gain insight and knowledge. [P4]
3.1.2 Collaborate when processing information to gain insight and knowledge. [P6]
3.1.3 Explain the insight and knowledge gained from digitally processed data by using appropriate visualizations, notations, and precise language. [P5]
3.2.1 Extract information from data to discover and explain connections, patterns, or trends. [P1]
3.2.2. Use large data sets to explore and discover information and knowledge. [P3]
3.3.1 Analyze how data representation, storage, security, and transmission of data involve computational manipulation of information. [P4]

External Resources

Basics on using and understanding data


Resources for Project

Additional Resources


PREVIOUSLY SUBMITTED ACTIVITIES (objective numbers may not match):


Give students a project – video tape, traffic passing by in front of the school for 10 minutes (more if traffic is light, less if traffic is heavy)

Or students walking thru the hallway on the way to lunch

Or cars dropping students off for school in the morning

Or animals moving past a camera in the woods

Or pedestrians walking down the sidewalk on a busy downtown sidewalk

They need to come up with ways to document the traffic digitally.

Attributes they may consider: time (from beginning of film), vehicle identity (make, model, color, doors, window tint, number of passengers, graphics on car, photo), car action (direction, speed, entry time, exit time, speeding?, stop?, accident?), passenger action (talking on cell phone, looking ahead, looking aside)

Create a digital method to record this data (manually input), is there a way to capture all of this information automatically from the film?

Should we record environmental considerations? Weather, time of day, sun/moon

What kind of analysis can we do on this data?

- Color mix

- speed chart

- Mix of number of passengers per vehicle

What can we do to reduce the amount of space necessary to store this information (compression) Lossy vs. Lossless

What privacy concerns, if any, in storing this data


Create an animation (using snap, Alice, something else), that recreates the traffic flow from the data they collected.


Class or online discussion on security concerns of an accounting firm storing client tax return data

Class or online discussion on security concerns of a healthcare insurance company storing claim payment information for their policy holders.

3.3.1.b Data is stored in many formats depending on its characteristics — such as size and intended use — so that it can be manipulated computationally.

Data may be digitally archived for future use.

Storage media affects methods and costs of manipulating data.

Reading data and updating data have different requirements for storage

Project: - You have a digital directory of students enrolled in school this year. The school is going to put a box of stuff in the “cornerstone” of the new addition that will be opened in 50 years. You are tasked with storing this digital information in a form that can be retrieved in 50 years.


History of computer storage:

1956 IBM 350 Disk Drive

1951 Reel to Reel computer tapes

1971 - 8” Floppy

1974 – Paper tapes used to store programs

1976 – 5.25” floppy disk used to store data / programs

1981 – 3.5” floppy disk

1989 Digital Cartridge computer tapes

1990 – IDE disk drives

1994 - Compact Flash

1980 CD Drives

1995 DVD Drives

SCSI Hard DRives

1999 – USB Flash drive invented

Read about the space ship that we sent into outer space, beyond Pluto.

The impact of resolution--high def should probably be included here. When you google image search you now see lots of high-def photos. storage space must be cheap in order to store that amount of data.

jpeg lossy
security camers - grainy cameras resolution, distance, cost,
analog, digital
sampeling rate
compression and compassionr rhythm

3.1.2.a Collaboration is an essential part of solving data driven problems
• Collaboration facilitates solving computational problems through multiple perspectives, experiences, and skill sets
o Pair students randomly
o Have each student ( beginning with low-skilled student) describe their view of the data
o Have students to come up with multiple ways to analyze data
o Discuss and provide feedback on collaboration

3.1.2.b Collaboration in developing hypotheses and questions and in testing hypotheses and answering questions about data helps gain insight and knowledge.
• Collaboration can take place with participants working closely together, or it can take place with participants using online communities
Students will continue to modify through updating document using online tool i.e. googledocs
• Managing Big Data collaboratively provides insight and knowledge that cannot be obtained working alone
o Provides another perspective of the data

3.1.3 Communicate insight and knowledge to process information

Essential Knowledge

3.1.3.a Visualizations, notation, and precise language are essential in communicating insight and knowledge gained from data.

• Visualization tools and software can connect data with communication of information.

Lesson Plan

• Analysis of three different data visualization tools ( Many Eyes, Tinker plots Excel, ) Jigsaw activity over three periods

• Tables, diagrams, and other textual displays should be used in communicating insight and knowledge gained from data.

Lesson Plan

Lab : LabWrite resources homepage.htm

3.1.3.b Summaries of insight and knowledge are effective in communicating insights gained from digitally represented information.

Lesson Plan

Analysis of different graphs and diagrams and write down the inferences gleaned from the graphs

SmartBoard presentation and analysis of data visualization, Pogil activity with worksheet with general questions and also develop a set of questions that they would use to analyze the data sets

external image africa.jpg

external image doctor.jpg

external image bad_visualization.png

Video The Art of Data Visualization

Video TV vs Twitter Data Visualization

Transforming information is effective in communicating (e.g., scaling in charts and tables).

Interactivity is an aspect of communicating (e.g., by filtering displayed data or hiding components of what is shown).

Learning Objectives © 2014 The College Board. All rights reserved. Computer Science: Principles is a pilot course under development. It is not an official Advanced Placement course currently being offered by the College Board. This document is based upon work supported by the National Science Foundation, grant CNS‐0938336. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation.