AP CSP - U6 Review

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AP CSP - U6 Review | WHPS Conard High School CHS

Last updated 2:09 PM on 3/5/26
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50 Terms

1
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What geolocation data is typically collected by tracking collars for wild animals?

Time; date; and location

2
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Can tracking collar data alone answer if an animal travels in groups with other tracked animals?

No

3
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Can movement patterns related to weather be answered solely by geolocation data?

No

4
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What specific data points does a clothing store record for items sold?

Item sold; sale date; sale price; and store location

5
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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

6
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Can clothing store sales data determine the gender of the shoppers?

No

7
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On a social media site; what is considered the actual 'data' vs metadata?

The message itself is data

8
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What is an example of metadata stored for social media posts?

Time of post; username; or names of commenters

9
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Is metadata or message data better for determining the topics users are posting about?

Message data

10
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Which is better for determining the most active time of day: message data or metadata?

Metadata

11
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How many bytes are in exactly one kilobyte?

1024

12
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Name one common challenge of working with Big Data.

Sorting the data or avoiding bias

13
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What is the primary computing innovation described in the article by Ashley Huff?

The memcapacitor

14
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What does the term 'neuromorphic' mean in the context of computing?

Brain-like

15
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What type of soft materials are used to mimic biomembranes in a memcapacitor?

Lipids

16
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How is a memcapacitor fundamentally different from a regular capacitor?

It can 'remember' a previously applied voltage

17
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What physical change does a synthetic membrane undergo to process information?

It changes surface area and thickness based on electrical activity

18
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What is a distinct feature of traditional digital computers regarding processing and memory?

Processing and memory are separate

19
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What causes the inherent bottleneck in traditional computer architecture?

Transferring information back and forth between the hard drive and the central processor

20
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Where are memory and signal processing located in neuromorphic computing?

They are co-located in memory elements

21
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Name the three types of 'memelements' mentioned in the unit review.

Memristors; memcapacitors; and meminductors

22
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What are two major advantages of systems designed with memelements?

Scalability and low power consumption

23
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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

24
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Why is biological sensing currently superior to digital computation?

It can pick out a single molecule of a specific odor or taste

25
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Digital computation is built around what specific binary language?

Ones and zeros

26
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What factor 'shapes' the neural network in a biological brain?

Learning

27
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What are 'spiking' neural networks intended to simulate?

The way neurons spike with electrical potential to pass signals

28
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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

29
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What additional capability does the memcapacitor have over the basic memristor?

It can store energy as an electric charge in the membrane

30
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What activity of biological neurons does the memcapacitor enable in dense networks?

Integrate and fire activity

31
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What data is consumed or transformed by the memcapacitor innovation?

Electric signals

32
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In the clothing store example; what can 'sale date' data help determine?

When sales are at their lowest

33
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Can geolocation data answer in what geographic locations an animal typically travels?

Yes

34
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What is the ultimate goal of tapping into biology for computing?

To carve out an alternative path to artificial intelligence

35
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Approximately how many miles an animal traveled in a week can be determined by what data?

Geolocation data (time; date; and location)

36
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How does machine learning differ from traditional programming?

ML learns from data and adapts while traditional follows fixed instructions

37
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What stage of AI development is represented by the Google Quick Draw tool?

Limited Memory

38
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What type of machine learning is image classification an example of?

Supervised Learning

39
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What is reinforcement learning?

A model trained by rewards or punishments based on its actions

40
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What is algorithmic bias?

When an AI model produces prejudiced results based on biased or incomplete training data

41
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What is 'feedback loop' bias in machine learning?

When biased data is fed back into an algorithm; causing more biased results over time

42
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What does the term 'Big Data' refer to?

Data sets too large and complex to process on a single computer

43
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In the DIKW pyramid; what is 'information'?

Data that has been organized or visualized

44
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What does 'data science' refer to?

Manipulating large data sets to gain information from them

45
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In Google Sheets; what does sorting 'Z to A' do to a column of heights?

Puts the tallest person on top

46
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What is a 'hypothesis' in data analysis?

A best guess at the connection between two variables; often in 'If…then' format

47
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What does a positive correlation mean in data relationships?

As one variable increases; the other one increases too

48
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Which Google Sheets formula is used to calculate the average of a column?

=average(cell range)

49
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What is a Pivot Table specifically used for in Google Sheets?

To summarize data using specific categories

50
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In data cleaning; what does 'whitespace' refer to?

Spaces that do not need to be in a data file and can affect analysis

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