April 4th 2016 Lesson Notes

Class lesson notes

These are the lesson notes for a class meeting. You will find links, homework, and other information about our class meeting here. If you missed a class, or you want to review what we did in a class, this is the right page for you!

Date

When was this lesson delivered?

April 4 2016

Objectives

What are we going to learn today?

1. we are going to test your understanding of simple math and loops in python. The loop part will be tricky.
2. Everyone will be required to submit an answer to a question on our class wiki, and hopefully start coding.

Explore

What kinds of hands-on/minds-on activities will we be doing?

1. We will start with a video https://www.youtube.com/watch?v=k3aKKasOmIw
2. We will then hack through mean, media and mode in Python. Mean, median, mode and other statistical functions
3. We will then work on our design project

Explain

What are some higher order thinking questions I will use to solicit explanations and help you to justify your explanations?

1. how do you most efficiently sort through a data set to find the most frequently occurring number in a list?

Extend

How will you develop a more sophisticated understanding of the concept?

1. finding mean in Python is trivial (easy) finding the median is much more difficult. Sorting through lists and testing each iteration is a classic problem to solve in programming
2. apply your understanding of mean, median and mode to find the standard deviation of a set of numbers

# find the range of the data set

Evaluate

How will you demonstrate that you have achieved the lesson objective?

• students will receive a formative assessment for their problem set work. Please click here to see how you will be graded

Homework

What is your homework and when is it due?

• We must work on our design project. Everyone is required to respond to Mr. MacKenty's feedback on the discussion page for your project. This homework is due at the start of our next class.

As a computer scientist, you have

These are the characteristics every computer scientist works towards.

• Confidence in dealing with complexity
• Persistence in working with difficult problems
• Tolerance for ambiguity
• The ability to deal with open-ended problems
• The ability to communicate and work with others to achieve a common goal or solution

Standards

• Click here for all our standards

• Apply analysis, design, and implementation techniques to solve problems (e.g., use one or more software lifecycle models).
• Describe a software development process used to solve software problems (e.g., design, coding, testing, verification).
• Describe how mathematical and statistical functions, sets, and logic are used in computation.

Undertake a systematic process of discovery

Produce a plan, simulation or model.

Give a detailed account including reasons or causes.

Give valid reasons or evidence to support an answer or conclusion.

A unit of abstract mathematical system subject to the laws of arithmetic.

Give a sequence of brief answers with no explanation.

Use an idea, equation, principle, theory or law in relation to a given problem or issue.

Assess the implications and limitations; make judgments about the ideas, works, solutions or methods in relation to selected criteria.

Prove or make clear by reasoning or evidence, illustrating with examples or practical application.

Use an idea, equation, principle, theory or law in relation to a given problem or issue.

Give a detailed account or picture of a situation, event, pattern or process.