MATH1150 Applications of Quantitative Reasoning
The focus of this course is on using quantitative information to think, reason and communicate more effectively. Students are presented with real world problems, and then asked to translate them into mathematics, and solve them. Topics include thinking critically, numbers in the real world, financial management, statistical reasoning, probability, and mathematical modeling. Examples and applications will be drawn from a wide range of disciplines and everyday situations including problems involving geometry, proportional reasoning, and percentages. This course will be a mix of lecture, individual work, and team-based problem solving. Student participation and active learning will be stressed.
Prerequisite
Qualifying score on math assessment test OR
MATH0960 OR
MATH0980 with a grade of "C" or better
Course Requirements and Evaluation
Refer to Course Syllabus for detailed information regarding the requirements and evaluation standards for this course. The Course Syllabus will be distributed the first week of the course.
Learning Outcomes
The following outcomes will be addressed in the course:
Analyze real world data through descriptive statistics, correlations, and regression lines
Analyze misuses of statistics and data representation
Apply concepts of geometry to optimize solutions for real world situations
Apply concepts of personal finance to make informed decisions
Analyze uses and abuses of percentages, ratios, rates, and proportions
Apply inductive and deductive reasoning to solve problems
Apply function notation to model real world applications
Solve problems using a variety of problem solving strategies
Analyze ideas, patterns, and multi-step problems
Model the connections between various types of problems
Gather information from a variety of sources
Organize statistical information from a variety of sources
Analyze statistical information from a variety of sources to make informed decisions
Text and References
A list of textbooks required for this course is available at the
campus store and in eServices.
Course Scheduling
The scheduled hours of instruction include sixteen hours for each lecture credit, thirty-two hours for each lab credit and forty hours for each credit of supervised occupational experience (SOE). Lecture credit may include formal or impromptu lectures, demonstrations or discussions with the entire class or with small groups or individuals. Refer to the Course Credits section of this course outline for the credit breakdown.
Accommodations Statement
Access Services - Reasonable accommodations are available to qualified students with documented disabilities. Upon attending an intake meeting with Access Services, qualified students will receive a letter listing the approved accommodations that they may provide to their instructors. If you have a documented disability that may require accommodations, contact HTC Access Services at
AccessServices@hennepintech.edu or
https://hennepintech.edu/current-students/access-services/index.html.
Campus
Brooklyn Park Campus and Eden Prairie Campus: 952-995-1300
Credit Details