CIT 12000
Quantitative Analysis I
Quantitative Analysis I
Description
An introduction to both qualitative and quantitative problem solving, featuring a systems approach that relies on graphic models to describe such concepts as relations, sequences, and logic patterns. Course includes a brief introduction to set theory, logic, and descriptions of data.
Textbook
Orr, Quantitative Analysis I, Pearson Custom Publishing, 2000, ISBN 0536605653
Course Outcomes
- Describe how things work together in a broad sense (CIT 1, 9)
- Understand the need for and uses of various kinds of numbers, e.g. real, integer, etc. (CIT 1)
- Draw decision logic graphs to express the alternatives of simple and complex decision processes (CIT 9)
- Determine the truth value of logic variables and propositions (CIT 1)
- Analyze the subtleties surrounding, truth, falsity, and logical paradoxes (CIT 9)
CIT Program Outcomes (What are these?)
1.
9.
Principles of Undergraduate Learning (What are Principles of Undergraduate Learning?)
1b.
1c.
4.
Topics
- Set Theory
- Logic
- Modeling and Modeling Techniques
- General Systems Theory
Assessment
- Exams (4)
- Assignments
- Post Assessments
