Finite Math - Math 1324 Course Syllabus: Fall 2015

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1 Finite Math - Math 1324 Course Syllabus: Fall 2015 Northeast Texas Community College exists to provide responsible, exemplary learning opportunities. David Rangel, Associate Professor of Mathematics Office: MS F Phone: Office Hours Monday Tuesday Wednesday Thursday Friday Online 9:30-11:00; 9:30-11:00; 9:30-11:00; 9:30-11:00 1:00-2:30 1:00-2:30 1:00-2:30 The information contained in this syllabus is subject to change without notice. Students are expected to be aware of any additional course policies presented by the instructor during the course. Catalog Course Description (include prerequisites): Finite Mathematics is a first course in finite mathematics for business majors with emphasis on applications to modern business practices. Topics to be developed include the application of common algebraic functions, including polynomial, exponential, logarithmic, and rational, to problems in business, economics, and the social sciences. The applications include mathematics of finance, including simple and compound interest and annuities; systems of linear equations; matrices; linear programming; probability, including expected value; and statistics, including normal distribution. Three hours credit. Prerequiste: MATH 0305 or appropriate placement score Required Textbook(s): Lial/Hungerford/Holcomb, Mathematics with Applications in the Management, Natural, and Social Sciences, 11th Ed., 2015 Publisher: Pearson, Boston, MA ISBN Number: # X (Includes both textbook and MyMathLab access code) Note: The NTCC Bookstore link is at Recommended Reading(s): None Student Learning Outcomes: Upon successful completion of this course, students will Apply elementary functions, including linear, quadratic, polynomial, rational, logarithmic, and exponential functions to solving real-world problems Solve mathematics of finance problems, including the computation of interest, annuities, and amortization of loans.

2 Apply basic matrix operations, including linear programming methods, to solve application problems Demonstrate fundamental probability techniques and application of those techniques, including expected value, to solve problems Apply statistical analyses including measures of center, measures of variation, and the normal distribution to model applications to solve real-world problems. Core Curriculum Purpose and Objectives: Through the core curriculum, students will gain a foundation of knowledge of human cultures and the physical and natural world; develop principles of personal and social responsibility for living in a diverse world; and advance intellectual and practical skills that are essential for all learning. Courses in the foundation area of mathematics focus on quantitative literacy in logic, patterns, and relationships. In addition, these courses involve the understanding of key mathematical concepts and the application of appropriate quantitative tools to everyday experience. College Student Learning Outcomes: Critical Thinking Skills CT.1 Students will demonstrate the ability to 1) analyze complex issues, 2) synthesize information, and 3) evaluate the logic, validity, and relevance of data. Communication Skills CS.1 Students will effectively develop, interpret and express ideas through written communication. Empirical and Quantitative Skills EQS.1 Students will manipulate numerical data or observable facts by organizing and converting relevant information into mathematical or empirical form EQS.2 Students will analyze numerical data or observable facts by processing information with correct calculations, explicit notations, and appropriate technology. EQS.3 Students will draw informed conclusions from numerical data or observable facts that are accurate, complete, and relevant to the investigation. SCANS Skills: N/A

3 Course Outline: Section 2.2 Equations of Lines Section 2.4 Linear Inequalities Section 3.1 Functions Section 3.2 Graphs of Functions Section 3.3 Applications of Linear Functions Section 3.4 Quadratic Functions and Applications Section 4.1 Exponential Functions Section 4.2 Applications of Exponential Functions Section 4.3 Logarithmic Functions EXAM 1 Section 5.1 Simple Interest and Discount Section 5.2 Compound Interest Section 5.3 Annuities, Future Value, and Sinking Funds Section 5.4 Annuities, Present Value, and Amortization Section 6.1 Systems of Two Linear Equations in Two Variables Section 6.3 Applications of Systems of Linear Equations Section 6.4 Basic Matrix Operations Section 6.5 Matrix Products and Inverses Section 6.6 Applications of Matrices EXAM 2 (Students are expected to make arrangments to take Exam 2 in a proctored setting. The location must be approved by the instructor. The student is responisible for paying any fees needed for use of facility.) Section 7.1 Graphing Linear Inequalities in Two Variables Section 7.2 Linear Programming: The Graphical Method Section 7.3 Applications of Linear Programming Section 7.4 The Simplex Method: Maximization Section 8.1 Sets Section 8.2 Application of Venn Diagrams and Contingency Tables Section 8.3 Basics of Probability Concepts Section 8.4 Basic Concepts of Probability Section 8.5 Conditional Probability and Independent Events EXAM 3 Section 9.1 Probability Distributions and Expected Value Section 9.2 The Multiplication Prinicple, Permutations, and Combinations Section 10.1 Frequency Distributions Section 10.2 Measures of Center Section 10.3 Mearures of Variation Section 10.4 Normal Distributions and Boxplots Section 10.5 Normal Approximation to the Binomial Distribution COMPREHENSIVE FINAL EXAM (Students are expected to make arrangments to take the Final in a proctored setting. The location must be approved by the instructor. The student is responisible for paying any fees needed for use of facility.)

4 Lectures & Discussions: Material for the course will be provided through MyMathLab. Videos and sample problems are available for selected problems. Additional links to resources will be provided on sections that prove to be more difficult and may require additional help. Websites such as and can be useful. Students are encouraged to ask questions using the Ask my Instructor link in MML or by sending an to the instructor. Tests/Exams: Exam information is located below in the Evaluation/Grading Policy. Dates for the exams are located in your MyMathLab Calendar. Material covered in each exam is located below in the Assignments section. Assignments: All problems assigned to each section are located in the Homework tab in MyMathLab. Dates for each section are located in your MyMathLab Calendar. Exam 2 and the Final Exam must be taken in a proctored setting approved by the instructor. Evaluation/Grading Policy: Three major 100 point examinations, evenly spaced throughout the semester, will be given and each will be worth 20% of the final grade. The average of a series of special assignments, quizzes, and homework will be worth 20%. A comprehensive final examination will contribute 20% to the final grade. 3 Major Exams 60% Homework Grade 20% Comprehensive Final Exam 20% TOTAL 100% Students are expected to complete the exam during the indicated time frame. Make-up exams will not be given. Late work will incur a penalty of 10% per day for whatever reason for not meeting the deadline, unless otherwise indicated by the instructor. Grading System "A" % "B" 80-89% "C" 70-79% "D" 60-69% "F" Below 60% Other Course Requirements A graphing calculator is highly recommended for this course, but not required. The TI-84 Silver Edition is used by the instructor. Student Responsibilities/Expectations: Students are expected to create a MyMathLab account using the instructions provided by the instructor. Assignments will be posted on a weekly basis along with deadlines. All assignments must be completed and submitted by the deadlines provided. Students are expected to make arrangments to take the Midterm and Final in a proctored setting. The location must be approved by the instructor. The student is responisible for paying any fees needed for use of the facility.

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