Quantitative Math

Course Number: MTH 98
Transcript Title: Quantitative Math
Created: October 20, 2015
Updated: July 10, 2019
Total Credits: 4
Lecture Hours: 40
Lecture / Lab Hours: 0
Lab Hours: 0
Satisfies Cultural Literacy requirement: No
Satisfies General Education requirement: No
Grading options: A-F (default), P-NP, audit
Repeats available for credit: 0

Prerequisites

Placement into: RD 90 and WR 90

Course Description

Covers applied number sense, applied algebraic reasoning and modeling, graphical sense, measurement, and statistical reasoning. Explores how to appropriately communicate mathematical arguments that are supported by quantitative evidence using words, graphs, numbers, and algebra. Prerequisites: placement into RD 90 and WR 90; MTH 20 or equivalent placement test scores. Audit available.

Intended Outcomes

Upon successful completion of this course, students will be able to:

  1. Solve problems using percent, ratios, formulas, and real numbers.
  2. Formulate and solve algebraic expressions and equations.
  3. Create, read, and interpret linear and non-linear functions.
  4. Use a graphing calculator to perform calculations and create graphical displays.
  5. Compute and interpret standard deviation, mean, median, and weighted mean, normal distribution.
  6. Communicate results using words, tables, graphs, and mathematical equations as appropriate.

Outcome Assessment Strategies

  • Homework, quizzes,  and problem sets
  • Exams which may include: take-home, open-book, group, cumulative, and proctored
  • Group projects – group or individual
  • At  least one project culminating in written form showing how to solve a problem

Course Activities and Design

The determination of teaching strategies used in the delivery of outcomes is generally left to the discretion of the instructor. Here are some strategies that you might consider when designing your course: lecture, small group/forum discussion, flipped classroom, dyads, oral presentation, role play, simulation scenarios, group projects, service learning projects, hands-on lab, peer review/workshops, cooperative learning (jigsaw, fishbowl), inquiry based instruction, differentiated instruction (learning centers), graphic organizers, etc.

Course Content (Themes, Concepts, Issues and Skills)

1.  Applied number sense

  • Percent
  • Ratios
  • Real numbers

2.  Algebraic reasoning and modeling

  • Simplify expressions
  • Solve formulas
  • Create and solve linear equations
  • Use variables to represent quantities

3.  Graphing

  • Read, create and interpret linear and non-linear graphs
  • Recognize graphing patterns
  • Model and fit specific data to graphs

4.  Statistical Reasoning

  • Compute and interpret standard deviation, means, median, and weighted means, normal distribution

5.  Measurement

  • Work with formulas to determine perimeter, area, and volume.
  • Right triangle trigonometry