This course provides more advanced mathematical and computational methods in the analysis and interpretation of quantitative information. Topics include databases, descriptive statistics, measures of association and their interpretation, elementary probability theory, and an introduction to algorithms and computer programming. The course is taught in a hands-on laboratory environment where students are introduced to advanced computer tools for data analysis, including databases and a professional statistical software package.
PREREQUISTE(S): ISP/IT 120 or placement by the Quantitative Reasoning Exam. Students who plan to take calculus or business calculus are exempt from this requirement. Students may place out of this course by passing the MTL Exam.
About Me
- Judy Kratochvil
- I grew up around the Chicago area and recently earned by BA in political science from DePaul University. I also completed two years in Air Force ROTC while in college. I have volunteered for many political campaigns and currently am an intern at the Heartland Institute. I plan to earn certification in Microsoft Office and attend Graduate school before moving to South Carolina.
Wednesday, September 5, 2007
ISP 121 Mathematical and Technological Literacy II
