This course covers the basic algebra and technological tools used in the social, physical and life sciences to analyze quantitative information. The emphasis is on real world, open-ended problems that involve reading, writing, calculating, synthesizing, and clearly reporting results. Topics include descriptive statistics, linear, and exponential models. Technology used in the course includes computers (spreadsheets, internet) and graphing calculators.That description is out of date. Here's a better one:
This course covers the skills and tools needed to work with quantitative information in daily life - numbers in the news, taxes, debt, inflation, probabilities. The emphasis is on real world, open-ended exercises that involve reading, writing, calculating, synthesizing, and clearly reporting results. Topics include back-of-an-envelope estimation, descriptive statistics, linear, and exponential models, spreadsheets and the wise use of internet resources.If you plan to major in science or mathematics this is probably not the right course for you. It will not count toward your major, and will not prepare you for the math courses you will need. Speak to your instructor about this before you commit to taking it.
The best way to move computer files from one machine to another is with a small portable disk ("flash drive", "thumb drive", "usb stick"). Buy yourself one - they're not expensive. But they are easy to lose (I have lost several) so take care of yours. You can also send yourself files as email attachments.
We will be updating and improving the text as the semester progresses. You can also always look at the latest version, incorporating changes made while the course is going on.
The best way to reach me is by email. I read it regularly pretty much all day every day. But please do not send attachments, and try not to send email meant to be read as a web page (there may be a way to tell your email software to send plain text, not html).