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### Syllabus

Note: The syllabus given here is the one I wrote in 1998, at Chapman University. The revision of this syllabus, as it is now used at the University of Northern Colorado is available through my web site (see hopper.unco.edu/hauk/mat120/mat120syllabus.html).

The two semester mathematics requirement for the Liberal Studies major for prospective elementary teachers included one semester of algebra-based descriptive and inferential statistics and the course below. Thus, neither statistics nor probability are included in this Mathematical Modeling syllabus (from 1998)

Title: Mathematical Modeling Credits: 3

Catalog Description: Prerequisite: Math 99 (intermediate algebra) or equivalent. Topics covered: basic number theory; sets and logic; linear programming; linear, quadratic, exponential and logarithmic models; interest theory, loans, annuities. Two additional topics are chosen from: Euclidean and non-Euclidean geometries; introduction to calculus; introduction to rate equations modeling infectious diseases; trigonometry.

Course Objectives: The primary objective of this course is to develop understanding of the techniques involved in the construction of mathematical models using problem solving strategies from mathematics and computer science. Given a situation to be modeled with mathematics, presented in the form of a real life problem or in the more structured format of a word problem, students will be able to evaluate the posited situation and propose a solution method for the problem. Students should also have the ability, by the end of the course, to analyze solution(s) and discuss restrictions on their accuracy and applicability.

Major Study Units : All of topics 1-4 and at least two of 5-8.

 1. Numbers, Numerals and Words 5. Geometry and Art Ancient Systems Euclidean and Non-Euclidean Models Hindu-Arabic Systems Perspective Basic Number Theory Tiling and Tessellation 2. Sets and Logic Modeling Nature with Fractals Sets, Venn Diagram Models 6. Calculus Symbolic Logic Functional Difference Quotients Inductive and Deductive Reasoning Derivatives; Modeling Rate of Change Flowchart Modeling Basic Integration 3. Algebraic and Exponential Models 7. Trigonometry Function notation Sine, Cosine, Tangent Linear Models ; Linear Programming Modeling with Right Triangles Quadratic Models; Polynomial Models The Laws of Sine and Cosine Exponential and Logarithmic Models Modeling with Acute Triangles 4. Finance Circular functions Interest Theory 8. Modeling Infectious Disease Annuities Rate Equations; Difference Equations Loans Programming the Equations Present Value Predicting Trends; Effect of Quarantine

Instructional Strategies: There are three major instructional strategies in teaching the course: an emphasis on effective writing about mathematics, the effective use of technology and the rule of three. Written assignments in the course:
- a project that includes an essay of at least 1000 words,
- homework assignments which include all of the short essay answer Explain questions in addition to some Apply and Explore exercises,
- exam questions that require explanation and/or justification (in full sentences) of solutions.
Technology, in particular a graphing calculator along with its manual (or an equivalent computer program with manual), are used to help each student think about and analyze mathematics. In addition to the traditional use as a simple calculational tool, students are expected to master the graphing and basic programming capabilities of their calculators in order to better visualize models and estimate solutions.

The rule of three'' means that concept, symbols, and words are presented for each topic. The most common interpretation of the rule of three in mathematics is to offer students the geometric, numeric and algebraic views for every topic.

Methods of Evaluation: Assessment of student learning is accomplished via at least two in-class examinations, two projects (at least one of which is an individual research project whose outcome is either a written report or an oral report accompanied by a written abstract; the other project culminates in an essay of at least 1000 words involving a draft step - the preferred topic for this essay is the student's mathematical autobiography) and a comprehensive final exam. Lab sessions on a computer (or using graphing calculators) which illustrate the topics discussed in class are necessary and are to include assessment of technological mastery through either quizzes or short essay assignments.

Required Text: Staszkow, R. and R. Bradshaw, The Mathematical Palette, 2nd ed., Saunders College Publishing, 1995.

Supplemental Material:

COMAP project, For all practical purposes: introduction to contemporary mathematics, Freeman and Co., New York, 1994.

Giordano, F. and M. Weir, A First Course in Mathematical Modeling, 2nd ed. Brooks Cole, 1997.

Giordano,F. and M. Weir, Mathematical Modeling with Minitab, Brooks Cole, 1987.

Hauk, S., Modeling Infectious Disease, Unpublished, 1996 (contact S. Hauk at: hauk@chapman.edu)

Mesterton-Gibbons, Michael, A Concrete Approach to Mathematical Modeling, Addison Wesley, 1989.

Staszkow, R. and R. Bradshaw, Student Study Guide to Accompany the Mathematical Palette, 2nd ed., Saunders College Publishing, 1995.    Next: Finance Portfolio Up: Mathematics for Liberal Arts Previous: Mathematics for Liberal Arts   Contents
Shandy Hauk 2007-01-18