Quantitative reasoning (II) is a sequential undergraduate course that focuses on logical reasoning supported by mathematical and statistical concepts and modeling/ analysis techniques to equip students with analytical skills and critical thinking abilities necessary to navigate the complexities of the modern world. The course is designed to familiarize students with the quantitative concepts and techniques required to interpret and analyze numerical data and to inculcate an ability in students the logical reasoning to construct and evaluate arguments, identify fallacies and think systematically. Keeping the pre-requisite course of Qualitative Reasoning (I) as its base, this course will enable students to further their quantitative, logical and logical, and critical reasoning abilities to complement their specific major/field of study.
By the end of this course, students shall have
1. Understanding of logic and logical reasoning
2. Understanding of basic quantitative modeling and analyses
3. Logical reasoning skills and abilities to apply them to solve quantitative problems and evaluate arguments
4. Ability to critically evaluate quantitative information to make evidence-based decisions through appropriate computational tools
1. Logic, logical and critical reasoning
2. Mathematical modeling and analyses
3. Statistical modeling and Analyses
Applied Mathematics for Business, Economics, and the Social Sciences by 
Applied Statistical Modeling by 
