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Mathematics SL Mathematics SL

Mathematics SL - PowerPoint Presentation

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Uploaded On 2016-04-28

Mathematics SL - PPT Presentation

Internal Assessment Type II Portfolio Type I Investigation done last year Type II Modeling No no Mathmatical Modeling Mathematical Modelling Problem solving often ID: 297397

type model task data model type data task models problem structure values modeling parameters world future note solving mathematics

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Slide1

Mathematics SL

Internal Assessment: Type IISlide2

Portfolio

Type I: Investigation (done last year)Type II:

ModelingSlide3
Slide4

No no…….Mathmatical

Modeling!Slide5

Mathematical Modelling

Problem solving - often process orientedMathematical

modeling

– often requires an

experimental

approachSlide6

Important Skills

Translating the real-world problem into mathematics

Constructing a model (equation…..often from collected data)

Solving the problem

Interpreting the solution in the real-world situation

Recognizing that different models may be used to solve the same problem

comparing different models

Identifying domains or ranges of validity of the models

Identifying the possible limits of technology

Manipulating dataSlide7

The model should “predict” the near future!Slide8

Structure of a Type 2 IA

1. An introduction to describe what the task will be about. 

2. a statement of what the

variables/parameters

are, what symbols will be used to represent them, and what units will be used to measure them. 

3

. a graph of the data and a discussion of possible functions which might reasonably model the data. 

4

.

an analytic

development of the values of the parameters in the model(s) chosen. 

5

. a graph of the data and the model(s) generated. 

6

. tweaking of the model(s) using regression tools to generate other values of the parameters, with a discussion of how well the various models fit the data.  (note: You should say more than “it fits pretty good” !!!!!!

Structure of a type II IA

10

. a conclusion summing up the task. 

 

 Slide9

Structure of a Type 2 IA

7. discuss limitations on the values of the variables. 

8. address any additional issues presented in the task. 

9. Perhaps apply the model to other situations, or infer what it tells you about future trends.

NOTE: You should be able to read your IA, from start to finish, and understand what it is about WITHOUT having to look back at the original task.Slide10

What if I did not turn in/ goofed up my IA last yearSlide11
Slide12

Assessment

See pdf

document for RubricHand out body mass index example