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Computational and statistical thinking for middle (junior high) school level

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(1)

Computational and

statistical thinking for middle (junior high)

school level

Roberto araya

CIAE - IE University of Chile

(2)

Computational

thinking

(3)

× Algorithmic thinking

× MODELING

× MACHINE LEARNING

(4)

algorithmic

thinking

(5)

Paint

(6)

Write your instructions

Paint in each box one ball mor than in the neighboring box on its right

Paint in each box a blue ball

More than a red ball

(7)

PAINT THE

OBJECT WHERE

THE PURSE IS

(8)

WRITE YOUR OWN

INSTRUCTIONS

(9)
(10)

Modeling

(11)

Forest fires

(12)

IF

CELL WAS red or black Then

Cell is black Otherwise If

neighboring cell was red Then

cell is red ELSE

Cell is white

(13)

?

IF

CELL WAS red or black Then

Cell is black Otherwise If

neighboring cell was red Then

cell is red ELSE

Cell is white

(14)

?

IF

CELL WAS red or black Then

Cell is black Otherwise If

neighboring cell was red Then

cell is red ELSE

Cell is white

(15)

?

IF

CELL WAS red or black Then

Cell is black Otherwise If

neighboring cell was red Then

cell is red ELSE

Cell is white

(16)

Machine

learning

(17)
(18)
(19)

?

(20)
(21)
(22)

?

(23)
(24)

× Algorithmic thinking

× MODELING

× MACHINE LEARNING

(25)
(26)

Case Fe Cu Na Flash pointDiagnosis

1 19 3 6 204 normal

2 45 11 8 204 normal

3 28 15 8 222 normal

4 10 4 6 220 normal

5 39 15 17 204 normal

6 37 13 15 204 normal

7 17 4 8 226 normal

8 10 3 8 234 normal

9 24 39 15 212 normal

10 64 10 254 220 Water contamination 11 57 13 87 196 Water contamination 12 34 87 101 230 Water contamination 13 54 8 65 220 Water contamination 14 43 15 54 204 Water contamination 15 69 15 74 228 Water contamination 16 77 17 32 230 Water contamination

(27)

190 195 200 205 210 215 220 225 230 235 240

0 50 100 150 200 250 300

Fla sh Poin t

Na

(28)
(29)

statistical

thinking

(30)

Patterns

Questions

Objectives

Data mining

understanding

(31)

Corona virus cases

February 9, 2020

(32)

814 deaths

February 9, 2020

(33)

Daily deaths

February 9, 2020

(34)

Daily deaths

growth factor

(35)

Patterns

Questions

Objectives

Data mining

understanding

(36)

37,594 cases

February 9, 2020

(37)

Daily cases

February 9, 2020

(38)

Daily cases

growth factor

(39)
(40)

Patterns

Questions

Objectives

Data mining

understanding

(41)

Machine Learning and

statitical thinking

(42)
(43)

coronavirus - 814 deaths 02-08 SARS - 774 deaths in 2003

MERS - 858 deaths in 2012

(44)

First 17 deaths

814 deaths 37,595 cases

6,196 severe condition

(45)

Two Machine Learning

× Death - No Death

× Severe - no severe

(46)

Computational and

statistical thinking for middle (junior high)

school level

Roberto arayA

CIAE - IE University of Chile

(47)

Computational

thinking

(48)

statistical

thinking

(49)

Thank you

Roberto arayA CIAE - IE University of Chile

49

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