Yuba Community College District

Yuba College Course Outline

### Course Information

Course Number: MATH 58
Full Course Title: Mathematics for Everyday Living
Short Title: Math for Everyday
TOP Code: 1701.00 - Mathematics, General
Effective Term: Spring 2018

### Course Standards

Course Type: Credit - Degree Applicable
Units: 3.0
Total class hours: 162.0
Total contact hours in class: 54.0
Lecture hours: 54.0
Hours outside of class: 108.0
Repeatable: No

### Minimum Qualifications for Instructors

• Mathematics (Masters Required)

### Course Description

Interpretation of and reasoning with quantitative information. Coverage of logic; units analysis; uses and abuses of percentages, ratios, and indices; financial management; and statistics. This course satisfies the AA and AS degree requirement but does not satisfy the prerequisite for a transferable math course.

### Conditions of Enrollment

Satisfactory completion of: MATH 101 or MATH 101B Or by placement

• Language - recommended eligibility for English 1A
• Mathematics - recommended eligibility for Math 52

### Content

Course Lecture Content
1. Logic and anlysis of arguments that use numbers
2. Units analysis and unit conversions
3. Problem solving strategies
4. Uses and abuses of  percentages, ratios, indices, tables, and graphs
5. Financial mangement
6. Statistical reasoning
7. Exponential and logarithmic models

### Objectives

1. Identify an argument's premises and conclusions.

2. Recognize fallacious arguments. **Requires Critical Thinking**

3. Use Venn diagrams.

4. Evaluate arguments that use numbers.

5. Identify and convert units.

6. Use units to check answers. **Requires Critical Thinking**

7. Apply strategies for problem solving.

8. Solve problems that use percentages, ratios, indices, tables or graphs and identify abuses.

9. Apply rounding rules.

10. Use different interest formulas.

11. Use different types of investments.

12. Explain bond yield.

13. Calculate loan payments.

14. Use budget principles.

15. Recognize different sampling methods.

16. Interpret different statistical graphs.

17. Distinguish between correlation and causality. **Requires Critical Thinking**

18. Apply exponential and/or logarithmic functions to model real world applications. **Requires Critical Thinking**

### Student Learning Outcomes

1. Use a Venn diagram to determine if an argument is valid.
• Critical Thinking Students will analyze data/information in addressing and evaluating problems and issues in making decisions.
2. Solve problems that use percentages, ratios, indices, tables or graphs and identify abuses.
• Computation Students will use appropriate mathematical concepts and methods to understand, analyze, and communicate issues in quantitative terms.
• Critical Thinking Students will analyze data/information in addressing and evaluating problems and issues in making decisions.
3. Solve financial application problems.
• Computation Students will use appropriate mathematical concepts and methods to understand, analyze, and communicate issues in quantitative terms.
• Critical Thinking Students will analyze data/information in addressing and evaluating problems and issues in making decisions.
4. Solve unit conversion problems.
• Computation Students will use appropriate mathematical concepts and methods to understand, analyze, and communicate issues in quantitative terms.
• Critical Thinking Students will analyze data/information in addressing and evaluating problems and issues in making decisions.

### Methods of Instruction

• Lecture/Discussion

### Assignments

Other Assignments

Homework: From Bennett & Briggs, "Using & Understanding Mathematics", 5th edition:

Section 1D (pages 62-64) problems: 16,19,22,23,26,30,34,36,38,41,43,47,50,51

### Methods of Evaluation

• Essay/Paper
• Exams
• Homework
• Problem Solving Exercises
• Quizzes
• Research Project

### Course Materials

Textbooks:
1. Bennett and Briggs. Using and Understanding Mathematics: A Quantitative Reasoning Approach, 6th ed. Pearson, 2015, ISBN: 978-0-321-91462-0
Equivalent text is acceptable
2. Crauder et. al. . Quantitative Literacy, 2nd ed. Macmillan, 2015, ISBN: 978-1-4641-2512-6
Equivalent text is acceptable