CIT Department Logo CIT 120
Quantitative Analysis I

Prerequisites
Math 111
Offered
Spring, Fall
Software
WinQSB
SPSS
Credit By Exam
Yes
Coordinator
Jerome Clark

Description
This course is a 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.

Objectives
  • Describe how things work together in a broad sense. (ABET a, j)
  • Understand the need for and uses of various kinds of numbers, e.g. real, integer, etc. (ABET a)
  • Draw decision logic graphs to express the alternatives of simple and complex decision processes. (ABET h, i)
  • Determine the truth value of logic variables and propositions. (ABET a)
  • Differentiate between qualitative and quantitative data. (ABET a)
  • Be able to appreciate the subtleties surrounding truth, falsity, and logical paradoxes. (ABET h)
ABET Outcomes (What is ABET?)
  • a. Use and apply current technical concepts and practices in the core information technologies.
  • h. Demonstrate independent critical thinking and problem solving skills.
  • i. Collaborate in teams to accomplish a common goal by integrating personal initiative and group cooperation.
  • j. Communicate effectively and efficiently with clients, users and peers both verbally and in writing, using appropriate terminology.
Principles of Undergraduate Learning (What are Principles of Undergraduate Learning?)
  • Express ideas and facts effectively in written formats.
  • Communicate orally in one-on-one and group settings.
  • Solve problems that are quantitative in nature.
  • Evaluate the logic, validity, relevance of data.
  • Solve challenging problems.
  • Apply knowledge to enhance personal lives.
  • Operate with civility in a complex social world.
Topics
  • Set Theory
  • Logic
  • Descriptions of Data
  • Modeling and Modeling Techniques
  • General Systems Theory
  • Introduction To Descriptive Statistics


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