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Quantitative Reasoning-I - (QRS-101) (MIT): Course Content

Quantitative reasoning is the ability to understand, analyze, and interpret numerical data and mathematical concepts to solve problems and make informed decisions in real-world contexts.

Course Outline

1. Numerical Literacy
  •  Number system and basic arithmetic operations
  •  Unit and their conversions, dimensions, are perimeter and volume
  •  Rates, ratios, proportions and percentages
  •  Types and sources of data
  •  Measurement scales
  • Tabular and graphical presentation of data
  • Quantitative reasoning exercises using number knowledge
2. Fundamental Mathematical Concepts
  •  Basics of geometry (lines, angles, circles, polygons etc)
  •  Sets and their operations
  •  Relations, functions and their graphs
  •  Exponents, factoring and simplifying algebraic expressions
  •  Algebraic and graphical solutions of linear and quadratic equations and inequations
  •  Quantitative reasoning exercises using fundamental mathematical concepts
3. Fundamental Statistical Concepts
  •  Population and sample
  •  Measures of central tendency, dispersion and data interpretation
  •  Rules of counting (multiplicative, permutation and combination)
  •  Basic probability theory
  •  Introduction to random variables and their probability distributions
  •  Quantitative reasoning exercises using fundamental statistical concepts

Course Objectives

By the end of this course, students shall have:
1. Demonstrate fundamental numerical literacy to work with numbers, understand their
meaning, and present data accurately. (C3)
2. Understand fundamental mathematical and statistical concepts. (C2)
3. Interpret data presented in various formats including but not limited to tables, graphs, charts,
and equations. (C4)