Math 110

Survey of College Math

Distance Learning Course

 

Instructor: Steve Wheatley

Office: HT 136 (Germantown campus)

Phone: 240-567-6971

Email: stephen.wheatley@montgomerycollege.edu

 

Office hours: Contact me for an appointment

 

Course Website: www.montgomerycollege.edu/surveyofcollegemath

Text: Finite Mathematics: An Applied Approach, by Young, et al., 3^rd ed.   

(NOT REQUIRED – Only buy if you want a hard copy)

Required Software: MyMathLab (see below) – will give access to an electronic version of the textbook.

Calculator: A calculator is allowed on all work, including exams.  A graphing calculator is required for this course (anything at the level of a TI-82 or greater is sufficient).  If you have concerns about the appropriateness of your calculator, see me.

 

Course Content and Objectives:  This is designed to be a terminal math course, intended for those students looking to fulfill a math requirement for graduation.  It is not intended for students majoring in business, economics, the physical sciences, engineering, or mathematics. 

We will discuss lines, linear systems, linear programming, some set theory, some elementary combinatorics (counting methods), probability, and matrix theory.  We will also look at applications of all of these topics.

 

Prerequisite: C or better in MA101 (A or B highly recommended) or equivalent

 

Grading: Homework – 25%                                90+           A

                Three Exams – 16 ⅔ %                         [80,90)      B

                Cumulative Final Exam – 25%             [70,80)      C

                                                                               [60,70)      D

                                                                               <60           F

 

 

 

 

Dropping/Incompletes:  Not doing any work is not a sufficient way of dropping this course.  If you wish to drop this course at any time during the semester prior to the drop date, you must fill out the appropriate paperwork with the registrar’s office.  I will not drop you under any circumstance.

          Incompletes will be given only in extraordinary circumstances (I will determine what is and is not extraordinary).  If you are failing at the time you request an incomplete, I can not grant your request for any reason.

 

Course Content: There are 22 videos to watch for the course, and you are expected to watch all of them.  They correspond to the 31 sections we will cover from the textbook this semester.  See the course outline below for more information.

 

Homework:  We will use software called MyMathLab for this course, which is run out of the website www.pearsonmylabandmastering.com.  Email me for the course id number, and the campus zip code is 20876 (corresponding to the Germantown campus).  You should have an individual id number as well, which is either inside your textbook, or which you can purchase directly from the website.

         

Exams:  Exams are to be taken at the Germantown Assessment Center.  If this is a serious hardship for you, let me know.  You may take an exam any time the assessment center is open; however, you will need to call first to make an appointment.  The phone number is 240-567-7739.

 

Academic Integrity:  You may work together with other students on any homework.  There is no cheating of any kind permitted on exams.  I take this extremely seriously.  More information can be learned by going to http://www.montgomerycollege.edu/verified/pnp/42001.doc.

 

Important Dates:  See the announcements page of the MyMathLab site for important course dates.

 

Tutoring: Free tutoring is available at all 3 campuses.  Check online for hours.

 

Course Outline:

1.1 The Cartesian Plane & Graphing

1.2 Equations for Straight Lines

1.3 Linear Modeling

1.4 Two Lines: Relating the Geometry to Equations

1.5 Regression & Correlation

2.1 Linear Systems as Mathematical Models

2.2 Linear Systems Having One or No Solutions

2.3 Linear Systems Having Many Solutions

Exam 1 covers material in 1.1 – 1.5, and 2.1 – 2.3

 

4.1 Modeling Linear Programming Problems

4.2 Linear Inequalities in Two Variables

4.3 Solving Linear Programming Problems Graphically

6.1 Simple & Compound Interest

6.2 Ordinary Annuities

6.3 Consumer Loans & APR

7.3 Sets

7.4 Applications of Venn Diagrams

Exam 2 covers material in 4.1 – 4.3, 6.1 – 6.3, and 7.3 – 7.4

 

7.5 The Multiplication Principle

7.6 Permutations

7.7 Combinations

8.1 Sample Spaces

8.2 Outcomes with Unequal Probability

9.1 Addition Rules for Probability

9.2 Conditional Probability

9.3 Multiplication Rules for Probability

Exam 3 covers material in 7.5 – 7.7, 8.1 – 8.2, and 9.1 – 9.3

 

3.1 Matrix Addition & Applications

3.2 Matrix Multiplication & Applications

3.3 The Inverse of a Matrix

3.4 Applications of Matrices

11.1 Markov Chains

11.2 State Vectors

11.3 Regular Markov Chains

Final exam is cumulative – all course material is covered