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AP CSP - U6 Review | WHPS Conard High School CHS
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What geolocation data is typically collected by tracking collars for wild animals?
Time; date; and location
Can tracking collar data alone answer if an animal travels in groups with other tracked animals?
No
Can movement patterns related to weather be answered solely by geolocation data?
No
What specific data points does a clothing store record for items sold?
Item sold; sale date; sale price; and store location
Which question can be answered by clothing store data: 'Which jackets are most popular' or 'Does a store need socks'?
Which jackets are most popular
Can clothing store sales data determine the gender of the shoppers?
No
On a social media site; what is considered the actual 'data' vs metadata?
The message itself is data
What is an example of metadata stored for social media posts?
Time of post; username; or names of commenters
Is metadata or message data better for determining the topics users are posting about?
Message data
Which is better for determining the most active time of day: message data or metadata?
Metadata
How many bytes are in exactly one kilobyte?
1024
Name one common challenge of working with Big Data.
Sorting the data or avoiding bias
What is the primary computing innovation described in the article by Ashley Huff?
The memcapacitor
What does the term 'neuromorphic' mean in the context of computing?
Brain-like
What type of soft materials are used to mimic biomembranes in a memcapacitor?
Lipids
How is a memcapacitor fundamentally different from a regular capacitor?
It can 'remember' a previously applied voltage
What physical change does a synthetic membrane undergo to process information?
It changes surface area and thickness based on electrical activity
What is a distinct feature of traditional digital computers regarding processing and memory?
Processing and memory are separate
What causes the inherent bottleneck in traditional computer architecture?
Transferring information back and forth between the hard drive and the central processor
Where are memory and signal processing located in neuromorphic computing?
They are co-located in memory elements
Name the three types of 'memelements' mentioned in the unit review.
Memristors; memcapacitors; and meminductors
What are two major advantages of systems designed with memelements?
Scalability and low power consumption
What is 'edge computing' as described in the review sources?
Technologies not connected to a cloud that make on-the-fly decisions based on sensory input
Why is biological sensing currently superior to digital computation?
It can pick out a single molecule of a specific odor or taste
Digital computation is built around what specific binary language?
Ones and zeros
What factor 'shapes' the neural network in a biological brain?
Learning
What are 'spiking' neural networks intended to simulate?
The way neurons spike with electrical potential to pass signals
What is the basic function of a memristor in a network?
It weighs information via conductance to determine if a signal is strong enough to broadcast
What additional capability does the memcapacitor have over the basic memristor?
It can store energy as an electric charge in the membrane
What activity of biological neurons does the memcapacitor enable in dense networks?
Integrate and fire activity
What data is consumed or transformed by the memcapacitor innovation?
Electric signals
In the clothing store example; what can 'sale date' data help determine?
When sales are at their lowest
Can geolocation data answer in what geographic locations an animal typically travels?
Yes
What is the ultimate goal of tapping into biology for computing?
To carve out an alternative path to artificial intelligence
Approximately how many miles an animal traveled in a week can be determined by what data?
Geolocation data (time; date; and location)
How does machine learning differ from traditional programming?
ML learns from data and adapts while traditional follows fixed instructions
What stage of AI development is represented by the Google Quick Draw tool?
Limited Memory
What type of machine learning is image classification an example of?
Supervised Learning
What is reinforcement learning?
A model trained by rewards or punishments based on its actions
What is algorithmic bias?
When an AI model produces prejudiced results based on biased or incomplete training data
What is 'feedback loop' bias in machine learning?
When biased data is fed back into an algorithm; causing more biased results over time
What does the term 'Big Data' refer to?
Data sets too large and complex to process on a single computer
In the DIKW pyramid; what is 'information'?
Data that has been organized or visualized
What does 'data science' refer to?
Manipulating large data sets to gain information from them
In Google Sheets; what does sorting 'Z to A' do to a column of heights?
Puts the tallest person on top
What is a 'hypothesis' in data analysis?
A best guess at the connection between two variables; often in 'If…then' format
What does a positive correlation mean in data relationships?
As one variable increases; the other one increases too
Which Google Sheets formula is used to calculate the average of a column?
=average(cell range)
What is a Pivot Table specifically used for in Google Sheets?
To summarize data using specific categories
In data cleaning; what does 'whitespace' refer to?
Spaces that do not need to be in a data file and can affect analysis