Aug 16, 2022
MATH 1060 - Quantitative Reasoning
This course develops critical thinking and problem solving skills in a variety of mathematical and quantitative contexts including real life situations. The course focuses on framing real-life problems mathematically and quantitatively and then using logical and quantitative techniques, such as linear and exponential growth modeling and statistical literacy, to make predictions and decisions and to solve these problems. Not recommended for students with majors in STEM areas. No credit if Math 1250 or any higher have been completed. Cannot be used for College of Arts and Science requirements.
Requisites: ((C or better in MATH D004 or MATH D005) or Math Placement Level 1 or higher) and Warning: No credit if Math 1250 or higher
Credit Hours: 3
OHIO BRICKS Foundations: Quantitative Reasoning
General Education Code (students who entered prior to Fall 2021-22): 1M
Repeat/Retake Information: May be retaken two times excluding withdrawals, but only last course taken counts.
Lecture/Lab Hours: 3.0 lecture
Grades: Eligible Grades: A-F,WP,WF,WN,FN,AU,I
Course Transferability: OTM course: TMM011 Quantitative Reasoning
College Credit Plus: Level 1
- Students will be able to solve real-world problems requiring the use and interpretation of ratios in a variety of contexts.
- Students will be able to solve real-world problems relating to rates of change, including growth and decay.
- Students will be able to distinguish between absolute and relative rates of change and describe the difference using models.
- Students will be able to compare and contrast statements which are proportional and those that are not.
- Students will be able to create and use tables, graphs, and equations to model real-world situations and identify the limitations in proposed models.
- Students will be able to model financial applications such as credit card debt, installment savings, loans, etc. and calculate taxes, mortgage payments, etc.
- Students will be able to create basic linear and exponential models for real-world problems.
- Students will be able to choose most appropriate model for a given situation and describe the limitations of the proposed model.
- Students will be able to critically evaluate statistics being presented in the media, journals, and other publications.
- Students will be able to critically evaluate sampling strategy, the impact of sample size, and any inferences made.
- Students will be able to summarize and interpret data sets and compare two or more data sets in the light of the information presented.
- Students will be able to create visual representations of real-world data sets and be able to describe their strengths and limitations.
- Students will be able to calculate probabilities and conditional probabilities in real-world settings, and use them to draw conclusions.
- Students will be able to communicate quantitative findings and results verbally and in writing.
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