9/15/2019 11:13:17 PM | MATH 10 Course Outline as of Fall 2018
| Changed Course |

CATALOG INFORMATION |
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Discipline and Nbr: MATH 10 | Title: NATURE OF MATH | |

Full Title: Nature of Mathematics | ||

Last Reviewed:10/22/2018 |

Units | Course Hours per Week | Nbr of Weeks | Course Hours Total | ||||
---|---|---|---|---|---|---|---|

Maximum | 3.00 | Lecture Scheduled | 3.00 | 17.5 max. | Lecture Scheduled | 52.50 | |

Minimum | 3.00 | Lab Scheduled | 0 | 6 min. | Lab Scheduled | 0 | |

Contact DHR | 0 | Contact DHR | 0 | ||||

Contact Total | 3.00 | Contact Total | 52.50 | ||||

Non-contact DHR | 0 | Non-contact DHR Total | 0 |

Total Out of Class Hours: 105.00 | Total Student Learning Hours: 157.50 |

Grading: Grade or P/NP

Repeatability: 00 - Two Repeats if Grade was D, F, NC, or NP

Also Listed As:

Formerly:

**Catalog Description:**

A survey course in mathematical concepts and mathematics in culture. Topics to include mathematical reasoning and four additional topics selected from number theory, probability, statistics, mathematical modeling, contemporary applications, geometry, and the history of mathematics. Recommended for liberal arts students.

**Prerequisites/Corequisites:**

Course Completion of MATH 154 or Course Completion of MATH 155 or higher

**Recommended Preparation:**

**Limits on Enrollment:**

**Schedule of Classes Information**

Description:

A survey course in mathematical concepts and mathematics in culture. Topics to include mathematical reasoning and four additional topics selected from number theory, probability, statistics, mathematical modeling, contemporary applications, geometry, and the history of mathematics. Recommended for liberal arts students.

(Grade or P/NP)

Prerequisites:Course Completion of MATH 154 or Course Completion of MATH 155 or higher

Recommended:

Limits on Enrollment:

Transfer Credit:CSU;UC.

Repeatability:00 - Two Repeats if Grade was D, F, NC, or NP

__ARTICULATION, MAJOR, and CERTIFICATION INFORMATION__Associate Degree: | Effective: | Fall 1981 | Inactive: | ||

Area: | B MC | Communication and Analytical Thinking Math Competency |
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CSU GE: | Transfer Area | Effective: | Inactive: | ||

B4 | Math/Quantitative Reasoning | Fall 1981 | |||

IGETC: | Transfer Area | Effective: | Inactive: | ||

2A | Mathematical Concepts & Quantitative Reasoning | Fall 1981 | |||

CSU Transfer: | Transferable | Effective: | Fall 1981 | Inactive: | |

UC Transfer: | Transferable | Effective: | Fall 1981 | Inactive: | |

C-ID: |

Certificate/Major Applicable: Major Applicable Course

__COURSE CONTENT__**Outcomes and Objectives:**

Upon completion of the course, students will be able to:

Upon completion of the course, students will be able to:

1. Define inductive reasoning, and apply to patterns and sequences.

2. Define deductive reasoning, and apply to logic and sets.

3. Demonstrate ability to perform four of the following objectives:

A. Define various sets of numbers and use number systems of different bases.

B. Apply counting techniques, permutations, combinations, and probability models.

C. Define frequency distributions and measures of central tendency and dispersion,

and create graphical displays of data.

D. Apply mathematical models such as linear, quadratic, exponential, and logarithmic,

to real-world problems.

E. Understand topics within contemporary mathematics, such as voting and apportionment,

financial mathematics, graph theory, linear programming, and applications of matrices.

F. Define and apply concepts of areas, volumes, Euclidean and non-Euclidean geometry,

and selected other topics in geometry.

G. Describe the historical development of mathematics, the role of theorem and proof in

mathematical thought, and significant mathematical results and mathematicians.

**Topics and Scope**

I. Mathematical reasoning

A. Inductive reasoning

1. Patterns

2. Sequences

B. Deductive reasoning

1. Logic

2. Sets

Four additional topics chosen from II through VIII.

II. Number theory

A. Sets of numbers (e.g. prime, perfect, amicable, etc.)

B. Numeration systems and number bases

C. Additional topics may be chosen from identification numbers, encoding data,

modular arithmetic, and cardinal numbers

III. Probability

A. Counting techniques

B. Rules of probability

C. Conditional probability

D. Probability models and simulations

IV. Statistics

A. Frequency distributions

B. Measures of central tendency and dispersion

C. Graphical display of data

D. Additional topics may be chosen from normal curve, estimation, and margin

of error

V. Mathematical modeling

A. Linear, quadratic, exponential, and logarithmic models

B. Regression models

VI. Contemporary applications

Types of applications to be chosen by instructor, but could include one or

more of the following:

A. Linear programming

B. Matrices

C. Financial mathematics

D. Voting and apportionment

E. Graph theory

VII. Geometry

A. Areas and volumes

B. Euclidean geometry and deductive systems

C. Non-Euclidean geometry

D. Additional topics may be chosen from conic sections, trigonometry, fractal

geometry, polyhedra, symmetry and tesselations

VIII. History and culture of mathematics

A. Overview of the historical development of mathematics

B. Role of theorem and proof in mathematical thought

C. Significant mathematical results and mathematicans

**Assignments:**

1. Daily reading outside of class (approximately 20-50 pages per week).

2. Problem set assignments from required text(s) or supplementary materials

chosen by the instructor (approximately 1-6 per week).

3. Quizzes (approximately 0-4 per week).

4. Exams (approximately 3-8 per term).

5. Projects (for example computer explorations or modeling activities,

approximately 0-10 per term).

**Methods of Evaluation/Basis of Grade.**

Writing: Assessment tools that demonstrate writing skill and/or require students to select, organize and explain ideas in writing. | Writing 0 - 0% |
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None | |||

This is a degree applicable course but assessment tools based on writing are not included because problem solving assessments are more appropriate for this course. | |||

Problem solving: Assessment tools, other than exams, that demonstrate competence in computational or non-computational problem solving skills. | Problem Solving 5 - 25% |
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Problem sets, projects | |||

Skill Demonstrations: All skill-based and physical demonstrations used for assessment purposes including skill performance exams. | Skill Demonstrations 0 - 0% |
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None | |||

Exams: All forms of formal testing, other than skill performance exams. | Exams 75 - 95% |
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Multiple choice and free response exams, quizzes | |||

Other: Includes any assessment tools that do not logically fit into the above categories. | Other Category 0 - 0% |
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None |

**Representative Textbooks and Materials:**

Thinking Mathematically (6th). Blitzer, Robert. Prentice Hall: 2014.

Mathematics: A Practical Odyssey (7th). Johnson & Mowry, Cengage: 2012 (classic)