LSP 120 Quantitative Reasoning Autumn 2009 Section 115

Tuesday & Thursday 11:20-12:50

Dr. Hector Morales Jr.

Syllabus | Grades |

In-class Activity | 0, 1, 2, 3, 3a, 4, 4a, 5, 6, 7, 8, 9, 10, 11, 11b, 12

Out-of-class Assignment | 1, 2, Ans 2, 3, 4, 5 Due Tues. Nov. 17th

Notes | Linear functions, Trend lines, Linear modeling comments, Justification, Exponential change, solving exponential equations using logs, Creating Graphs, Absolute and relative quantities, Cellphone subscribers, CPI Notes

Power Point | linear functions, Trend lines, Creating graphs, Absolute and relative quantities, Final Projects, Can U hear me now!, CPI, Sample power point presentation

Excel Spreadsheet | excelactivity 0, lecture examples, Trendexample, milesrecordup, Life Expectancy example, Exponential change example, US Crimes ratesHigh School dropouts, Male/Female Population, Rate example, HIV by country 2005, Cellular subscribers, Electricity Prices, loans, credit cards

My Policies

Final Project

Project list, Stage I, Stage II, Stage III

Practice Final Exam

 

 


Welcome to DePaul's Quantitative Reasoning course!

The purpose of the Quantitative Reasoning 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 Introduction to Mathematical Models and Linear Models
Week 2 Exponential Models
Week 3 Making and Interpreting Graphs
Week 4 Absolute and Relative Quantities
Week 5 Localized Trendlines; Midterm
Week 6 Percentages
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