Quantitative Reasoning - MATH 1001

Description

This course emphasizes quantitative reasoning skills needed for informed citizens to understand the world around them. Topics include logic, basic probability, data analysis and modeling from data.

MATH 1001 - Spring 2024

Course	Instructor
MATH 1001 1AG	Jennifer Strickland jennifer.strickland@asurams.edu
MATH 1001 1BG	Patti Lord patricia.lord@abac.edu
MATH 1001 1CG	Abby Noble abby.noble@mga.edu
MATH 1001 1DG	Lisa Yocco lyocco@ega.edu
MATH 1001 1EG	Holly Geiger holly.geiger@mga.edu
MATH 1001 5AG	Alvina Atkinson aatkinso@ggc.edu
MATH 1001 5BG	David Ross david.ross@ung.edu
MATH 1001 8AG	Kyle Carter kylec@westga.edu
MATH 1001 8BG	Valerie Beaman-Hackle valerie.beamanhackle@mga.edu
MATH 1001 8CG	Sandra Bevill sandra.bevill@mga.edu

Credit Hours

Prerequisites

See your home institution's prerequisite requirement.

Free Textbook

Open educational resources (OER)

Course Equivalency

After completing this course, you will be able to:

Perform operation on sets
Construct and analyze logical arguments.
Calculate the probability of an event occurring
Perform data analysis (identify basic descriptive statistics, identify correlation, causality, and inferences, interpret graphical displays, identify types of samples)
Design mathematical models from data

Unit 1: Critical Thinking and Set Theory
Unit 2: Logic
Unit 3: Rates, Percents, Proportions & Dimensional Analysis
Unit 4: The Basics of Probability
Unit 5: Collecting and Visualizing Data
Unit 6: Analyzing and Interpreting Data
Unit 7: Mathematical Modeling
Unit 8: Financial Mathematics

Attendance Verification - 1%
Mindset Learning Activities - 4%
Mindset Learning Discussions - 5%
Pre-assessment - 5%
Homework - 30%
Online Exams/Tests - 20%
Midterm Exam - 15%
Final Exam - 20%

Courses

Course Descriptions

Quantitative Reasoning - MATH 1001

Description

MATH 1001 - Spring 2024

Prerequisites

Free Textbook