Quantitative Analysis II
CIT 22000/ 3 Cr.
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.
- Available Online: Yes
- Credit by Exam: Yes
- Laptop Required: Yes
(CIT 12000 or ECET 10900) and (Math 15400 or MATH 15900 or MATH-M 119)
Course Outcomes (What are these?)
- Apply critical thinking and analytical skills (CIT b)
- Express situations in mathematical terms (CIT a)
- Express situations in descriptive statistical terms (CIT a)
- Analyze situations from a descriptive statistical view (CIT a)
CIT Student Outcomes (What are these?)
(a) An ability to apply knowledge of computing and mathematics appropriate to the program’s student outcomes and to the discipline.
(b) An ability to analyze a problem, and identify and define the computing requirements appropriate to its solution.
- Use of Statistics
- Grouping and Displaying Data to Convey Meaning
- Measures of Central Tendency and Dispersion in Frequency Distributions
- Probability: Introductory Ideas
- Probability: Distributions
- Sampling and Statistical Distributions
Principles of Undergraduate Learning (PULs)
1b. Identify and propose solutions for problems using quantitative tools and reasoning.
1c. Make effective use of information resources and technology.
4. Intellectual Depth, Breadth, and Adaptiveness
5. Understanding Society and Culture