CCOG for MTH 98 archive revision 201804

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Effective Term:
Fall 2018 through Winter 2020

Course Number:
MTH 98
Course Title:
Math Literacy II
Credit Hours:
4
Lecture Hours:
30
Lecture/Lab Hours:
20
Lab Hours:
0

Course Description

Introduces normal distribution and regression/curve fitting. Covers modeling, graphing and solving of linear and quadratic equations. Introduces problem solving with linear systems of equations. Explores how to clearly communicate sophisticated arguments supported by quantitative evidence using spreadsheets, words, tables, graphs, and mathematical equations, as appropriate. Supports collaborative learning through class group interaction. TI-83 or TI-84 calculator required. Recommendation: MTH 58 or MTH 63 or MTH 65 or MTH 70 be taken within the past 4 terms. Audit available.

Intended Outcomes for the course

Upon completion of the course students should be able to

  • Use a graphing calculator and an Excel style spreadsheet system to perform calculations and create graphical displays.

  • Make reasonable conclusions based upon data or situations modeled by a normal distribution.

  • Construct, model and problem solve with linear and non-linear functions.

  • Apply an understanding of functions and function notation.

  • Recognize the difference between direct and indirect variation.

Course Activities and Design

This class is designed around a group work and discussion classroom format.  The focus of the activities are reality based problems and situations from which formal definitions and procedures will arise.  A technology component is included as part of the course activities.
 

Outcome Assessment Strategies

Assessment shall include:

  1. At least two proctored, closed-book, no student-note exams (An instructor-provided sheet containing steps for using the TI-84 is allowed; see Addendum A via the following link:  http://spot.pcc.edu/math/addenda/mth98addendum.pdf).  One of the exams must be a comprehensive final exam that is worth at least 25% of the overall grade.   These exams must consist of primarily free response questions.
  2. Group work and class participation
  3. Homework including each of the following:
    1. Technology assignments
    2. At least one group project culminating in a written report and/or oral presentation
  4. Must include at least 2 of the following

    1. Online skills assignments

    2. Written homework

    3. Quizzes

    4. Reflections

    5. Portfolio

    6. Individual student conference

    7. Community based learning

Course Content (Themes, Concepts, Issues and Skills)

  1. Linear Equations in Two Variables
    1. Determine and interpret horizontal and vertical intercepts of linear equations and graphs
    2. Determine and interpret the slope of a line
    3. Graph linear equations
    4. Solve linear equations using graphs, tables, and algebra.
    5. Represent linear equations verbally and with graphs and tables.
    6. Write an equation of a line based on data from a description, table, or graph
    7. Write a linear function to model an application
    8. Use linear curve fitting to model and analyze relationships
    9. Use systems of equations to model a situation; solve the systems using tables, graphs, and basic substitution (i.e., y = 3x + 2 and y = -7x+9)
  2. Quadratic Functions
    1. Combine expressions using addition, subtraction, multiplication, and division
    2. Use the quadratic formula to solve quadratic equations
    3. Determine and interpret the parts of a parabola
    4. Solve and represent quadratic equations graphically, numerically, symbolically, and verbally
    5. Use quadratic curve fitting to model and analyze relationships
  3. Statistics
    1. Calculate mean, median, mode, and range
    2. Compute and interpret basic probabilities
    3. Compute and interpret sample standard deviation
    4. Use the empirical rule (68-95-99.7 rule) to find probabilities
    5. Create and interpret visual representations of data using Venn diagrams and pie graphs
    6. Recognize misuses of graphical representation and measures of spread in statistics
    7. Calculate and interpret margin of error
    8. Solve for a minimum sample size for a given margin of error and a given confidence level
    9. Investigate margin of error for various levels of confidence
  4. Applications of right triangles
    1. Identify the legs and hypotenuse of a right triangle
    2. Solve application problems with the Pythagorean theorem