CSP Materials

(Resource)
17 Feb 2014 - 10:11
This lesson plan is for the beginning of the year as an introduction to the course and concepts.  It is intended to be highly creative while also incorporating computer history, hardware and terminology.   Students will create a product...
(Resource)
7 Feb 2014 - 23:07
If you haven't had Facebook create your movie yet, you should.  It is awesome! And what a relevant way to explore data with our students. In this project, students will look at the data that Facebook and other social media sites are storing,...
| 2 recommendations
(Resource)
12 Jan 2014 - 17:47
This one- or two-day activity helped me gauge student prior knowledge with Excel while teaching the basics of spreadsheet creation, editing and charting.  Using http://www.weather.com/ or similar 10-day forecast students create,...
(Resource)
12 Jan 2014 - 17:29
This is my adaptation from a lesson plan created by Jennie Rountree and Gina McCarley.  In my version students take a data collection homework assignment, create an Excel file from raw data, share data to accummulate n=50 in the data set,...
(Resource)
10 Jan 2013 - 16:03
Principles from the CSP project 
Tags: CSP
(Resource book)
28 Oct 2013 - 21:17
Basic Statistics: Resource  Description: A chapter on basic statistical measurements for use in the data analysis projects.     
(Resource book)
28 Oct 2013 - 21:11
Datavisualization.ch: Resources  Description: A list of data visualization resources and tools as well as examples from a wide array of data visualizations from Datavisualization.ch.    
(Resource book)
28 Oct 2013 - 21:02
Data Pitfalls: Reading  Description: An explanation and prescription for common mistakes associated with "big" data analysis and reporting.     
(Resource book)
28 Oct 2013 - 20:52
Data Mining: Reading  Description: An introductory lecture on data mining from a course called the "Principles of Knowledge Discovery in Databases" at University of Alberta by Dr. Osmar Zaiane.      
(Resource book)
28 Oct 2013 - 20:13
Data: Reading  Description: A discussion of the implications of companies harnessing the vast amounts of data produced over the internet at the Web 2.0 summit.