CIT 22000
Quantitative Analysis II
Quantitative Analysis II
Description
A continued investigation into the problem solving tools and techniques that focus on both hardware systems and quantitative data analysis. The course is designed for CIT majors in their second full year of study.
Textbook
McClave & Sincich, Statistics, Prentice Hall, 2009, ISBN 9780132069526
Course Outcomes
- Develop problem-solving skills as they relate to hardware systems and quantitative analysis (CIT 1, 9)
- Apply critical thinking and analytical skills (CIT 7)
- Express situations in mathematical terms (CIT 1)
- Develop oral and written communication skills relating to hardware systems and data analyis (CIT 7)
- Develop and refine professional skills (CIT 9)
- Express situations in descriptive statistical terms (CIT 1)
- Analyze situations from a descriptive statistical view (CIT 1)
CIT Program Outcomes (What are these?)
1.
7.
9.
Principles of Undergraduate Learning (What are Principles of Undergraduate Learning?)
1b.
1c.
4.
5.
Topics
- Use of Statistics
- Grouping and Displaying Datat to Convey Meaning
- Measures of Central Tendency and Dispersion in Frequency Distributions
- Probability: Introductory Ideas
- Probability: Distributions
- Sampling and Sampling Distributions
- Statistical Distributions
Assessment
- Exams (3)
- Projects
- Homework
- Class Activities
