Unit 6 - BIG Data & PRIVACY

Lesson 10 -Cybercrime

LESSON MATERIALS (YOU CAN ACCESS ONLY VIA @BERGEN.ORG ACCOUNT)

Objectives

Students will be able to:

Research and describe a cyber attack found in the news
Reason about the threats posed by, and methods of recourse for, various types of cyber attacks
Describe plausible storage, security, or privacy concerns for particular pieces of data

Supplementary Resources

Lesson 09 - Public Key Cryptography

LESSON MATERIALS (YOU CAN ACCESS ONLY VIA @BERGEN.ORG ACCOUNT)

Objectives

Students will be able to:

Explain the difference between symmetric and asymmetric encryption.
Describe the basic process of encrypting data using public key encryption.
Explain the benefits of public key cryptography.

Supplementary Resources

Lesson 08 -Encryption with Keys and Passwords

LESSON MATERIALS (YOU CAN ACCESS ONLY VIA @BERGEN.ORG ACCOUNT)

Objectives

Students will be able to:

Understand that exponential growth is related to an encryption algorithm strength.
Explain how and why the Vigenère cipher is a stronger form of encryption than plain substitution.

Supplementary Resources

Lesson 07 - Simple Encryption

LESSON MATERIALS (YOU CAN ACCESS ONLY VIA @BERGEN.ORG ACCOUNT)

Objectives

Students will be able to:

Explain why encryption is an important need for everyday life on the Internet.
Crack a message encrypted with a Caesar cipher using a Caesar Cipher Widget

Supplementary Resources

Lesson 06 - The Cost of Free

LESSON MATERIALS (YOU CAN ACCESS ONLY VIA @BERGEN.ORG ACCOUNT)

Objectives

Students will be able to:

Explain some of the privacy and economic tradeoffs involved in the collection and use of personal data.
Describe the ways and reasons organizations collect information about individuals.

Supplementary Resources

Lesson 05 - Identifying People With Data

LESSON MATERIALS (YOU CAN ACCESS ONLY VIA @BERGEN.ORG ACCOUNT)

Objectives

Students will be able to:

Use online search tools to find and connect information about a person or topic of interest.
Analyze the personal privacy and security concerns that arise with any use of computational systems.

Supplementary Resources

Lesson 04 - Rapid Research - Data Innovations

LESSON MATERIALS (YOU CAN ACCESS ONLY VIA @BERGEN.ORG ACCOUNT)

Objectives

Students will be able to:

Identify a suitable computing innovation for a research project.
Synthesize information taken from multiple online sources to create a cohesive description of a computing innovation.

Supplementary Resources

Google Trends - Link

Lesson 03 - Check Your Assumptions

LESSON MATERIALS (YOU CAN ACCESS ONLY VIA @BERGEN.ORG ACCOUNT)

Objectives

Students will be able to:

Define the digital divide as the variation in access or use of technology by various demographic characteristics.
Identify assumptions made when drawing conclusions from data and data visualizations

Supplementary Resources

Google Trends Video - Video
Wired - What Can We Learn from the Epic Failure of Google Flu Trends - Article
NY Times - Google Flu Trends: The Limits of Big Data - Article
Nature - When Google Got Flu Wrong - Article
Time - Google's Flu Project Shows the Failings of Big Data - Article
Harvard Business Review - Google Flu Trends' Failure Shows Good Data > Big Data - Article

Lesson 02 - Finding Trends with Visualizations

LESSON MATERIALS (YOU CAN ACCESS ONLY VIA @BERGEN.ORG ACCOUNT)

Objectives

Students will be able to:

Accurately describe what a data visualization of a trend is showing.
Provide plausible explanations of trends and patterns observed within a data visualization.

Supplementary Resources

Google Trends - Link

Lesson 01 - What is Big Data?

LESSON MATERIALS (YOU CAN ACCESS ONLY VIA @BERGEN.ORG ACCOUNT)

Objectives

Students will be able to:

Explain that new techniques are necessary to store, manage, transmit, and process data at the scale it is currently being produced.

Supplementary Resources

College Board - Assessment Overview and Performance Task Directions for Students
Big data is better data - TED talk - Video
Moore's Law Chart - Image
Moore's Law - Wikipedia Article

VOCABULARY

Big Data - a broad term for data sets so large or complex that traditional data processing applications are inadequate.
Moore's Law - a predication made by Gordon Moore in 1965 that computing power will double every 1.5-2 years, it has remained more or less true ever since.
Datafied - A modern technological trend turning many aspects of our life into data which is subsequently transfer into information realized as a new form of value.

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