Academic Honesty:
Kingwood College will not tolerate cheating or plagiarism. Plagiarism is defined
as "taking
and using as one's own the writings or ideas of another." Any student
caught cheating or
plagiarizing, or aiding another student in cheating or
plagiarizing on a quiz, test, individual
assignment, or examination will receive
a zero for that test or assignment and may be dropped
from the class. Students
subject to penalty due to academic dish onesty have the right to
appeal to the
dean of the department, Dr. Jon Connolly at (281) 312 – 1575, located in HSB
room 102.
Evaluation Method for Math 1314, Math 1316, Math 1324, and
Math 1342:
The final grade for this course will be calculated on the fol lowing four
categories given
here, please see YOUR syllabus for corresponding percent
values:
1. Tests: => 100 points each
Fall and Spring Courses: 4 Tests Summer Courses: 3 Tests
Note: The lowest test grade will be replaced by your highest test grade.
2. Homework /Computer Assignments: 8 - 20 assignments => 100 points each
3. In- Class Group /Computer Assignments: 6 - 12 assignments => 100 points each
4. Comprehensive Final Exam: => 100 points
Note: The final exam grade is not a test grade and cannot be replaced
with your
highest test grade.
5. Assignment of a letter grade will be made according to the following scale:
A 90 – 100
B 80 – 89
C 70 – 79
D 60 – 69
F 59 or lower
Note: There is no provision for earning extra credit in this course.
Withdrawals and Drops:
Please come and see me if you are planning to drop this course. Never attending
or
ceasing to attend classes DOES NOT constitute a withdrawal or drop. You
remain registered
until you file a Drop/Withdrawal Form by the appropriate
deadline. Failure to act in a timely
manner will result in an "F" grade for the
course. It is the student's responsibility to turn in all
Drop/Withdrawal Forms
and follow up to ensure that they were processed as desired.
Syllabus and Schedule Content:
The following is a list of the Chapters and Sections covered in this course/s.
The instructor
reserves the right to make changes to this syllabus, if deemed
necessary. All changes will be
provided to the students orally or in writing
before the implementation of the change.
Math 1314:
1.1 Linear Equations . (review)
1.2 Applications and Modeling with Linear
Equations.
1.3 Complex Numbers . (review)
1.4 Quadratic Equations .
1.5
Applications and Modeling with Quadratic Equations.
1.6 Other Types of Equations
and Applications.
1.7 Inequalities.
1.8 Absolute Value Equations and
Inequalities.
2.1 Rectangular Coordinates and Graphs . (review)
2.3 Functions.
2.4 Linear Functions.
2.5 Equations of Lines; Curve Fitting.
2.6 Graphs of Basic Functions.
2.7
Graphing Techniques.
2.8 Function al Operations and Composition .
3.1 Quadratic Functions and Models.
3.5 Rational Functions: Graphs,
Applications, and Models.
4.1 Inverse Functions.
4.2 Exponential Functions.
4.3
Logarithmic Functions.
4.4 Evaluating Logarithms and the Change-of-Base Theorem.
4.5 Exponential and Logarithmic Equations.
4.6 Applications and Models of
Exponential Growth and Decay.
5.1 Systems of Linear Equations.
5.5 Nonlinear
Systems of Equations.
Math 1316:
2.1 Angles and Their Measure
2.2 Trigonometric Functions: Unit Circle Approach
2.3 Properties of the Trigonometric Functions
2.4 Graphs of the Sine and Cosine Functions
2.5 Graphs of the Tangent, Cotangent, Cosecant, and Secant Functions
2.6 Phase Shift; Sinusoidal Curve Fitting
3.1 The Inverse Sine, Cosine, and Tangent Functions
3.2 The Inverse Trigonometric Functions
3.3 Trigonometric Identities
3.4 Sum and Difference Formulas
3.5 Double-Angle and Half-Angle Formulas
3.6 Product-to-Sum and Sum-to-Product Formulas
3.7 Trigonometric Equations I
3.8 Trigonometric Equations II
4.1 Right-Triangle Trigonometry; Applications
4.2 The Law of Sines
4.3 The Law of Cosines
4.4 The Area of a Triangle
4.5 Simple Harmonic Motion; Damped Motion; Combining Waves
5.3 The Complex Plane; De Moivre’s Theorem
5.4 Vectors
5.5 The Dot Product
Math 1324:
3-1 Simple Interest
3-2 Compound and Continuous Compound Interest
3-3 Future Value of an Annuity; Sinking Funds
3-4 Present Value of an Annuity; Amortization
4-1 Review: Systems of Linear Equations in Two Variables (optional)
4-2 Systems of Linear Equations and Augmented Matrices
4-3 Gauss-Jordan Elimination
4-4 Matrices: Basic Operations
5-1 Inequalities in Two Variables
5-2 Systems of Linear Inequalities in Two Variables
5-3 Linear Programming in Two Dimensions: A Geometric Approach
6-1 A Geometric Introduction to the Simplex Method
6-2 The Simplex Method
6-3 The Dual Problem
7-2 Sets
7-3 Basic Counting Principles
7-4 Permutations and Combinations
8-1 Samples Spaces, Events, and Probability
8-2 Union, Intersection, and Complement of Events: Odds
8-3 Conditional Probability, Intersection, and Independence
8-4 Bayes’ Formula
8-5 Random Variable, Probability Distribution , and Expected Value
11-1 Graphing Data
11-2 Measures of Central Tendency
11-3 Measures of Dispersion
Math 1342:
1.1 Introduction
1.2 Descriptive and Inferential Statistics
1.3 Variables and Types of Data
1.4 Data Collection and Sampling Techniques
1.5 Observational and Experimental Studies
1.6 Uses and Misuses of Statistics
1.7 Computers and Calculators
2.1 Introduction
2.2 Organizing Data
2.3 Histogram, Frequency Polygons, and Ogives
2.4 Other Types of Graphs
2.5 Paired Data and Scatter Plots
3.1 Introduction
3.2 Measures of Central Tendency
3.3 Measures of Variation
3.4 Measure of Position
3.5 Exploratory Data Analysis
4.1 Introduction
4.2 Sample Spaces and Probability
4.3 The Addition Rules for Probability
4.4 The Multiplication Rules and Conditional Probability
4.5 Counting rules
4.6 Probability and Counting Rules
5.1 Introduction
5.2 Probability Distributions
5.3 Mean, Variance, Standard Deviation and Expectation
5.4 The Binomial Distribution
6.1 Introduction
6.2 Properties of the Normal Distribution
6.3 The Standard Normal Distribution
6.4 Applications of the Normal Distribution
6.5 The Central Limit Theorem
6.6 The Normal Approximation to the Binomial Distribution
7.1 Introduction
7.2 Confidence Intervals for the Mean, n>= 30
7.3 Confidence Intervals for the Mean, n < 30
7.4 Confidence Intervals and Sample Size for Proportions
7.5 Confidence Intervals for Variances and Standard Deviations
8.1 Introduction
8.2 Steps in Hypothesis Testing Traditional Method
8.3 z-Tests for a Mean
8.4 t Test for a Mean
8.5 z-Tests for a Proportion
8.6 Chi Squared Test for a Variance or Standard Deviation
9.1 Introduction
9.2 Testing the Difference between Two Means: Large Samples
9.4 Testing the Difference between Two Means: Small Independent Sample
10.1 Introduction
10.2 Correlation
10.3 Regression
