GUTS Youth Leadership Corps

Things you need to know

Emphasis in GUTS Clubs

Programming Concepts using Starlogo TNG

Complex Adaptive Systems

Development of Research Skills

Data AcquisitionData AnalysisData Interpretation

Presentation Skills

Expectations of GUTS Mentors• Knowledge Expectations

– Starlogo TNG– Complex Adaptive Systems– Data Acquisition– Data Analysis

• Club Expectations– Help the teachers– Help the facilitators– Teach some curriculum– Teach some activities– Coach students with programming– Coach students with projects

Starlogo TNG Quiz

Take the quiz

See what you remember!

Starlogo TNGBuild Tasmanian Devils

Review Programming ConceptsSetupProceduresVariablesConditional Statements InputOutput

Complex Adaptive Systems Review

• Made up of agents in an environment

• The agents – Have characteristics – size, color, age– Follow simple rules - aging– There is randomness associated with their behavior

• Two types of interactions occur– Agent/Agent interactions – collisions, hatching– Agent/Environment interactions – agents movement, agents

change the environment or environment changes the agents

Complex Adaptive Systems Review

• The system is– Leaderless - no agent is coordinating the actions of

other agents– Self-organizing – simple rules result in the

organization of the agents or the environment as the result of agents following simple rules without external control or a leader.

– Emergent patterns - Patterns that form even though the agents were not “told” to make a pattern.

Complex Adaptive Systems TemplateCASTNEW ASSESSMENT TOOL

CAS CAST

Tasmanian Devils CAST Activity

Fill in the CAST for the Tasmanian Devil Model

…

Tasmanian Devils CAST

Data Acquisition

Data collection is the systematic recording of information while changing Variables (a quantity that may assume any given value or set of values).

Collect the output (i.e. number of healthy agents, number of infected agents, time…) while changing the variables (number of devils, number initially infected) of the model

Data AcquisitionWhy do we gather data?

To answer questions

To develop understanding

To validate experiments

Data AcquisitionHow do we gather data using StarlogoTNG?

Collect the data by hand

Create a line graph in Starlogo TNG and extract the data to Excel

Create a bar graph in Starlogo TNG and extract the data to Excel

Create a table in Stalogo TNG and extract the data to Excel

Data AcquisitionHow Much Data?

Variable Sweeping – experimental considerations:Number of variablesRange of variablesWhat changes things?

Thought Experiment

If you have two variables of interest in your modelYou decide that each variable

needs to be examined at the low, medium and high end of its rangesHow many DIFFERENT TYPES of

experiments do you need to perform

Data AcquisitionHow Much Data?

Thought Experiment Continued

What if you needed to evaluated each parameter at 5 different values?

Does that mean you need to run your model only that number of times?NO – Scatter in your data

Data AcquisitionHow Much Data?

Number of Runs at the same parameter values – experimental considerations:Scatter in dataHow many data points do you need to determine if your

average will be enough?Minimum 5 runs

Data AcquisitionHow Much Data?

Data AnalysisWhat should we do with the data?

Display – usually graph it to make it easier to see trends

Analysis – use math skills to uncover patterns and trends in data sets

Interpretation - involves possible explanation those patterns and trends.

Data AnalysisDisplaying Data

Two common ways to display data Tables Graphs

Reasons to Graphically Display Data Makes your data visible Helps find obvious patterns Does the data makes sense?

Are your assumptions correct? Did you collect enough data?

Data Analysis: Displaying Data – Types of PlotsAll plots from http://www.statcan.ca

• Pie Charts – music preference

Pets purchased at pet store

Bar Charts – preferred snacks

Data Analysis: Displaying Data – Types of PlotsAll plots from http://www.statcan.ca

XY Graphs – cell phone use

http://www.statcan.ca

Scatter Plots

http://en.wikipedia.org/wiki/Scatterplot

Data AnalysisDisplaying Data

ExerciseUse Tasmanian Devils Model to extract data into

ExcelPlot Data in Excel

Data AnalysisStatistics

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0 10 20 30 40 50 60

Noisy

Noisier

Mean (both)

Noisy + 2SD

Noisy - 2SD

Noisier + 2SD

Noisier - 2SD

Statistics help youSummarize dataDescribe dataAnalyze data

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Noisy

Noisier

Hard to describe the difference Between the two data sets

Now it is easy to summarize, describe and analyze the data….The blue and the pink data have the Same AVERAGE value (mean) but theblue data is “NOISIER” (greaterstandard deviation). Therefore…

Data AnalysisStatistics

• Two Areas we will examine– Statistics that describe the “middle” of the data

(Data Central Tendency)• Median

• Mode

• Mean or average

– Statistics the describe the “scatter” of the data (Data Spread)• Range

• Standard Deviation

Statistics – Measurements of Central TendencyMean (Average), Median, and Mode

Definitions Mean (Average) – Sum divided by the number of data points Median – Middle data point when arranged from highest to lowest Mode – Most frequent value

Use data set to calculate Mean (Average) Median, Mode, Max and Min

Select Cell where you want the value of the function to appear Select Insert then Function Select Statistical Select function wanted (AVERAGE, MEDIAN, or MODE) then hit

OK Select Range of data you want to analyze by clicking on range

symbol and highlighting range. Hit enter or OK

LET’S DO IT

Statistics – Measurements of Data SpreadRange, Variance and Standard Deviation

Rabbit Population

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50

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0 500 1000 1500 2000

Ticks

Nu

mb

er

of

Ra

bv

its

Rabbits Mean Mean - 2 S Mean + 2 S

Definitions Range = maximum - minimum

Variance = measures noise of the data around the mean value.

Standard Deviation (S) is the square root of the variance. Most commonly used measure of spread (same units as the data). Another reason to use S:

~68% of the data are in the interval Mean – S to Mean

+ S ~95% of the data are in the interval

Mean – 2 S to Mean + 2 S

~99% of the data are in the interval Mean – 3 S to

Mean + 3 S

EXCEL does it for you!!!LET’S DO IT