Print Version

Effective: Winter 2012

Prerequisites: Prerequisite: Satisfactory score on the mathematics placement test or MATH 105 or 108.
Advisory: Advisory: Demonstrated proficiency in English by placement as determined by score on the English placement test OR through an equivalent placement process OR completion of ESLL 25 & ESLL 249.
Grade Type: Letter Grade, the student may select Pass/No Pass
Not Repeatable.
FHGE: Communication & Analytical Thinking Transferable: CSU/UC
5 hours lecture. (60 hours total per quarter)

Student Learning Outcomes -
  • Interpret the output of a mathematical model in qualitative context.
  • Justify the reasonableness of a mathematical outcome in qualitative context.
  • Investigate problems analytically, numerically, graphically, and verbally.
Description -
A survey of mathematical models and other tools to introduce the nonspecialist to the methods of quantitative reasoning. Problem solving by Polya's method with analytic, numeric, graphical, and verbal investigation. Selecting, constructing, and using mathematical models. Interpreting quantitative results in qualitative context. Emphasis on deductive reasoning and formal logic; algebraic, exponential, logarithmic, and trigonometric models; probability and the normal distribution; data analysis; and selected topics from discrete math, finite math, and statistics.

Course Objectives -
The student will be able to:
  1. Use Polya's problem-solving method.
  2. Practice sound logical reasoning and identify common errors in logic.
  3. Express quantitative ideas in accurate mathematical language and notation.
  4. Investigate problems analytically, numerically, graphically, and verbally.
  5. Identify salient quantitative features of particular phenomena.
  6. Select appropriate mathematical functions to model particular phenomena.
  7. Construct mathematical models appropriate to given problems.
  8. Justify the selection and construction of a particular mathematical model.
  9. Use mathematical models accurately.
  10. Interpret the output of a mathematical model in qualitative context.
  11. Justify the reasonableness of a mathematical outcome in qualitative context.
Special Facilities and/or Equipment -
  1. Graphing calculator
  2. When taught hybrid: Four lecture hours per week in face-to-face contact and one hour per week using CCC Confer. Students need internet access.

Course Content (Body of knowledge) -
  1. A Brief History of Mathematics
    1. Early Mathematics
    2. Contributions From Different Cultures
  2. Review of Basic Mathematical Concepts
    1. Basic Rules
    2. Percentages
    3. Prime Numbers and Factorization
    4. Greatest Common Factor
    5. Rationals and Irrationals
    6. Binary Arithmetic
  3. Applications of Powers and Geometric Sequences
    1. Applications of Powers
    2. Half-lives
    3. Compound Interest
    4. IRA's/Annuities?Present and Future Value
    5. Geometric Series
  4. Areas and Volumes
    1. Areas
    2. Volumes
    3. Surface Area of a Solid
  5. Galilean Relativity
    1. Displacement and Velocity Vectors
    2. Doppler Effect
    3. Components of Vectors
  6. Special Relativity
    1. Simultaneity and Einstein's Postulates
    2. Time Dilation
    3. Length Contraction
  7. Probability
    1. Reasoning with Formal Logic
      1. Truth Tables
      2. Entailment
      3. Converse, Inverse, and Contrapositive
      4. Counterexamples
      5. Errors in Logic
    2. Developing and Using Mathematical Models
      1. Power Functions and Polynomial Models
      2. Exponential and Logarithmic Models
      3. Trigonometric Models of Periodic Phenomena
      4. Probabilistic Models
      5. The Normal Distribution
      6. Other Selected Models
    3. Choosing Appropriate Mathematical Models
      1. Polya's Method
      2. Data Analysis
      3. Pattern Matching
      4. Rates of Change
      5. Other Model Selection Criteria
    4. Applying Mathematical Models to Selected Applications
      1. Growth and Decay
        1. Carbon Dating
        2. Isotope Storage
        3. Drug Metabolism
        4. Time of Death
      2. Periodic Phenomena
        1. Hours of Daylight
        2. Tides
        3. Temperature Fluctuation
        4. Orbital Mechanics
        5. Acoustic Waves
        6. Electrical Currents
      3. Logarithmic Scales
        1. Richter Scale for Earthquake Magnitude
        2. Decibel Scale for Sound Intensity
        3. pH scale for Chemical Acidity
      4. Biological Populations
      5. Voting and Apportionment Problems
      6. Financial Applications
        1. Economic Utility
        2. Compound Interest
        3. Present and Future Values
        4. Depreciation
        5. Resource Allocation
      7. Risk Analysis
        1. Public Health Policies
        2. Medical Decision-Making
      8. Other Applications
Methods of Evaluation -
  1. Homework
  2. Class Participation
  3. Term paper(s)
  4. Presentation(s)
  5. Computer Lab Assignment(s)
  6. Quizzes
  7. Unit Exam(s)
  8. Proctored Comprehensive Final Examination
Representative Text(s) -
Bello, Ignacio, et. al., Topics in Contemporary Mathematics, Houghton Mifflin, Eighth ed., 2005.
Aufmann, Richard N., et. al., Mathematical Excursions, Houghton Mifflin, 2004.

Disciplines -
Method of Instruction -
Lecture, Discussion, Cooperative learning exercises.
Lab Content -
Not applicable.
Types and/or Examples of Required Reading, Writing and Outside of Class Assignments -
  1. Homework Problems: Homework problems covering subject matter from text and related material ranging from 30 - 60 problems per week.
Students will need to employ critical thinking in order to complete assignments.
  • Lecture: Five hours per week of lecture covering subject matter from text and related material. Reading and study of the textbook, related materials and notes.
  • Projects: Student projects covering subject matter from textbook and related materials. Projects will require students to discuss mathematical problems,write solutions in accurate mathematical language and notation and interpret mathematical solutions. Projects may require the use of a computer algebra system such as Mathematica or MATLAB.
  • Worksheets: Problems and activities covering the subject matter. Such problems and activities will require students to think critically. Such worksheets may be completed both inside and/or outside of class.