Computer Science Principles Unit Post AP Chapter 1 Lesson 1: Introduction to Data

Learning Resource Type

Classroom Resource

Subject Area

Digital Literacy and Computer Science

Grade(s)

9, 10, 11, 12

Overview

In this kickoff to the Data Unit, students begin thinking about how data is collected and what can be learned from it. To begin the lesson, students will take a short online quiz that supposedly determines something interesting or funny about their personality. Afterwards, they will brainstorm other sources of data in the world around them, leading to a discussion of how that data is collected. This discussion motivates the introduction of the Class Data Tracker project that will run through the second half of this unit. Students will take the survey for the first time and be shown what the results will look like. To close the class, students will make predictions of what they will find when all the data has been collected in a couple of weeks.

Students will be able to:
- develop a hypothesis about student behavior over time, based on a small sample of data.
- describe sources of data appropriate for performing computations.

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Digital Literacy and Computer Science (2018) Grade(s): 09-12

DLCS18.HS.32

Use data analysis tools and techniques to identify patterns in data representing complex systems.

UP:DLCS18.HS.32

Vocabulary

  • datamining

Knowledge

Students know:
  • how to identify patterns in data.
  • how to select and apply data analysis tools and techniques.
  • use data analysis tools and techniques to identify patterns in data representing complex systems.

Skills

Students are able to:
  • evaluate data sets.
  • select and apply data analysis tools and techniques.
  • use technology to mine data.

Understanding

Students understand that:
  • data can be important in a problem
  • solving process.
  • tools exists to aid in the processing of complex data sets.
  • it can be more efficient to allow a program to identify patterns in a complex data set.
Digital Literacy and Computer Science (2018) Grade(s): 09-12

DLCS18.HS.37

Evaluate the ability of models and simulations to test and support the refinement of hypotheses.

UP:DLCS18.HS.37

Vocabulary

  • model
  • simulations
  • hypotheses
  • phenomena
  • target system

Knowledge

Students know:
  • how to explain the use of models and simulations to generate new knowledge and understanding related to the phenomena or target system that is being studied.
  • how to explain the ability of models and simulations to test and support the refinement of hypotheses related to phenomena under consideration.
a.
  • that modeling and simulations are way to extrapolate and interpolate unrest situation and scenarios to help formulate, test and refine hypotheses.
b.
  • how to form a hypothesis.
  • how to test a hypothesis.
  • how to create a model or simulation.
c.
  • that simulations or models can be created to test a hypothesis but not provide the information expected or intended.
  • that it is vital to verify the data being generated by a model or simulation.

Skills

Students are able to:
  • use a diagram or program to represent a model to express key properties of a phenomena or target system.
  • research existing models and simulations and how they are used to test and refine hypotheses.
  • explain how existing models and simulations are used to test and support the refinement of hypotheses.
a.
  • create a model or simulation to formulate, test, and refine a hypothesis.
  • utilize a model or simulation to formulate, test, and refine a hypothesis.
b.
  • form a model of a hypothesis.
  • test the hypothesis by collecting and analyzing data from a simulation.
c.
  • examine a model or simulation to determine the correctness of the generated data.
  • examine a flawed model or simulation and identify areas in which it is providing incorrect data.

Understanding

Students understand that:
  • a simulation is based on a model and enables observation of the system as key properties change.
  • the accuracy of models and simulations are limited by the level of detail and quality of information used and the software and hardware used.
  • models and simulations are an effective and cost efficient way to understand phenomena and test and refine hypotheses.
a.
  • models and simulations are way to extrapolate and interpolate unrest situation and scenarios to help formulate, test and refine hypotheses.
  • models and simulations can be the only cost- ot time-effective way to test a hypothesis.
b.
  • Models and simulations can save money, are safer, usually requires less time, and do not have the environmental impact that a full experiment or operational test may induce.
c.
  • while a process may operate without errors, that does not guarantee that the process is providing accurate data to meet your needs.

CR Resource Type

Lesson/Unit Plan

Resource Provider

Code.org

License Type

Custom
https://curriculum.code.org/csp-18/post-ap/1/

Custom License Type (URL)

https://code.org/tos

Approved Date

ALSDE LOGO

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