LSP120 Math and Technological Literacy I
Section 117 - Autumn 2009
TuTh 1:00 PM - 2:30 PM in SAC 268

Dr. Quinetta D. Shelby

Syllabus  | Grades | Groups | Week 1 2 3 4 5 6 7 8 9 10

Techniques in Excel 2007
Creating Graphs in Excel 2003
Creating Graphs in Excel 2007
Creating Graphs in Excel 2008 for Mac Users

Final Project

Stage 1
Stage 2 (Due 11/3/09)
Stage 3 (Due 11/17/09)
Final Paper Rubric | Final Presentation Rubric

Midterm Exam Reminder | Midterm Exam Review | Midterm Exam
Final Exam Reminder
| Final Exam Review | Final Exam

  FINAL EXAM - You must score 55 or more on the final to pass the course!  (Check your syllabus.)

The course meets on Tuesdays and Thursdays from 1:00 PM - 2:30 PM in SAC 268.  Please bring a USB storage drive.

Welcome to DePaul's Math and Technological Literacy I course!

The purpose of the Math and Technological Literacy I course at DePaul University is to help you to become a confident and critical user of quantitative information. The course addresses the growing need for quantitative and computer literacy in the face of an enormous expansion in the use of quantitative methods and information in the social and physical sciences as well as daily life. Key characteristics of the course are

You will learn primarily working with data sets from many different disciplines, such as psychology, environmental science, economics, finance, sociology, history. You will write critiques of quantitative arguments, gather data and present arguments.

You will use spreadsheets (Excel), word processors (Word), presentation software (PowerPoint) and the Internet in an integrated manner in all sections. Specific quantitative skills that are addressed include:

Here is a rough outline of this course:

Week 1 Linear Models
Week 2 Creating and Interpreting Graphs 
Week 3 Percentages
Week 4 Exponential Models 
Week 5 Absolute and Relative Quantities
Week 6 Midterm, Localized Trendlines, Final Project Assigned
Week 7 Module: The Consumer Price Index and the Value of Money
Week 8 Financial Mathematics
Week 9 Financial Mathematics
Week 10 Presentations
Week 11 Final Exam