|
May 27, 2024
|
|
|
|
2021-2022 Official General Catalog [Archived Catalog]
|
MAT 113 - Mathematical Explorations I This course is an interdisciplinary approach to topics in mathematics using computer technology. Topics include: Statistical Analysis of Data, Financial Management, Network Analysis, Project Design and Voting Theory. This course is designed for Liberal Arts and Business Students, not for Science majors.
Prerequisite- Corequisite Prerequisite: MAT 090 Foundations for College Mathematics I or equivalent
Credits: 3 Hours 3 Class Hours Course Profile Learning Outcomes of the Course:
Upon successful completion of this course the student should be able to:
- Use e-mail.
- Use Excel.
- Use the Internet.
- Use PowerPoint.
- See where math can be used to solve problems in everyday life and in his/her discipline.
- Find the mean, mode, median and range of a data set.
- Construct boxplots, histograms and scatterplots.
- Find the standard deviation of a set of numbers.
- Identify distributions that are normal and those that are not.
- Explain the difference between a parameter and a statistic.
- Explain the difference between the majority and the plurality voting methods.
- Identify Hamiltonian and Euler Circuits.
- Solve the Traveling Salesman-like Problems.
- Schedule a project.
- Calculate compound interest.
- Investigate annuities.
- Calculate loans payments and credit card interest.
- Investigate mortgage amortization tables.
- Investigate risk, return, and liquidity of investments.
In the context of the course objectives listed above, upon successful completion of this course the student will be able to:
- Interpret and draw inferences from mathematical models such as formulas, graphs, tables and schematics.
- Represent mathematical information symbolically, visually, numerically and verbally.
- Employ quantitative methods such as arithmetic, algebra, geometry, or statistics to solve problems.
- Estimate and check mathematical results for reasonableness.
- Recognize the limitations of mathematical and statistical methods.
|
|