# ALEX Classroom Resource

## Computer Science Principles Unit Post AP Chapter 1 Lesson 4: Discover a Data Story

Classroom Resource Information

Title:

Computer Science Principles Unit Post AP Chapter 1 Lesson 4: Discover a Data Story

URL:

https://curriculum.code.org/csp-18/post-ap/4/

Content Source:

Code.org
Type: Lesson/Unit Plan

Overview:

In this lesson, students will collaboratively investigate some datasets and use visualization tools to “discover a data story”. The lesson assumes that students know how to use some kind of visualization tool - in the previous lesson we used the charting tools of a basic spreadsheet program. Students should be working with a partner but without much teacher hand-holding. Most of the time should be spent with students poking around the data and trying to discover connections and trends using data visualization tools. It is up to them to discover a trend, make a chart, and accurately write about it.

Students will be able to:
- collaboratively investigate a dataset.
- create a visualization (chart) from provided data.
- identify possible trends or connections in a data set by creating visualizations of it.
- accurately communicate about a visualization of their own creation.

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Content Standard(s):
 Digital Literacy and Computer Science DLIT (2018) Grade: 9-12 32) Use data analysis tools and techniques to identify patterns in data representing complex systems. Insight Unpacked Content Evidence Of Student Attainment:Students will: identify patterns in data. use data analysis tools and techniques. use data analysis tools and techniques to identify patterns in data representing complex systems. Teacher Vocabulary:dataminingKnowledge: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 problemsolving 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 DLIT (2018) Grade: 9-12 37) Evaluate the ability of models and simulations to test and support the refinement of hypotheses. a. Create and utilize models and simulations to help formulate, test, and refine a hypothesis. b. Form a model of a hypothesis, testing the hypothesis by the collection and analysis of data generated by simulations. Examples: Science lab, robotics lab, manufacturing, space exploration. c. Explore situations where a flawed model provided an incorrect answer. Insight Unpacked Content Evidence Of Student Attainment:Students will: evaluate how models and simulations can be used to examine theories and test and support the refinement of hypotheses. explain how predictions and inferences are affected by large and complex data sets, quality of inputs, and software and hardware used. 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 a hypothesis by the collection and analysis of data generated by simulations. c. be given a flawed model and explore reasons that the outcomes are not as expected or intended.Teacher Vocabulary:model simulations hypotheses phenomena target systemKnowledge: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.
Tags: collaborative artifact creation, dataset, external tools, visualization tools, writing