MATH 200 Quantitative Tools and Methods
There are concepts employed in science and technology to quantify the natural and theoretical worlds. Explore ways to collect, define, describe and communicate real-world facts. Tools, techniques and methodologies commonly used for analysis, computation, decision making and quantification are covered. Decision analysis, truth tables, conditional logic, data analysis, are some things discussed. Concepts such as conditional probability, statistics, discrete mathematics, Boolean logic, functions, distributions, reasoning and methodologies are also included.
Cross Listed Courses
None
Prerequisite
None
Corequisite
None
Washington Technology University
Syllabus
MATH 200 : Quantitative Tools and Methods
5 Credits
Approved: 12/19/2018 4:37:33 PM
Course Description
There are concepts employed in science and technology to quantify the natural and theoretical worlds. Explore ways to collect, define, describe and communicate real-world facts. Tools, techniques and methodologies commonly used for analysis, computation, decision making and quantification are covered. Decision analysis, truth tables, conditional logic, data analysis, are some things discussed. Concepts such as conditional probability, statistics, discrete mathematics, Boolean logic, functions, distributions, reasoning and methodologies are also included.
Course Required Resources
Bennett, J & Briggs, W. (2014). Using and Understanding Mathematics: A Quantitative Reasoning Approach. London: Pearson
Course Outcomes
Identify, analyze, and solve real-world problems that involve quantitative information
Reason quantitatively and make numerical arguments
Interpret and communicate the results of quantitative analysis
Develop and improve "numerical intuition" and confidence in the ability to engage in quantitative thinking
Course Keywords
Critical Thinking, Conditional Logic, Sets, Problem Solving Techniques, Units of Measure, Scientific Notation, Orders of Magnitude, Accuracy and Precision, Data Visualization, Charts, Graphs, Functions, Distributions, Probability, Risk, Linear and Exponential Growth, Modeling, Laws of Nature, Sampling
Assignment Summary
Midterm Examination (25%)
Summary: Students should be prepared to answer a variety of types of questions pertinent to the concepts covered in or suggested by the course materials, assignments and activities. The instructor may provide additional information about the content, style, and grading criteria of this exam. The test will cover all concepts covered since the first day of class.
Final Examination (25%)
Summary: Students should be prepared to answer a variety of types of questions pertinent to the concepts covered in or suggested by the course materials, assignments and activities. The instructor may provide additional information about the content, style, and grading criteria of this exam. The exam will be limited to concepts covered since the mid-term.
Instructor Determined Assignments (25%)
Summary: The instructor will evaluate participation in the course and in online discussions. The instructor may also include other assignments. The instructor-determined assignments and discussions will be distributed and evaluated such that the total point value reflects the weighting given in the rubrics. The instructor will provide the grading criteria, rubrics, and directions for completing these assignments.
Mathematical Modeling Project (25%)
In this project students will use Excel to perform various analysis and generate graphs, charts and plots of the following activities; generate frequency tables, produce bar graphs and pie charts, line charts, scatter plots, calculate mean median and mode, standard deviation, standard scores, and normal distribution percentiles