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Math 130 Syllabus

Course Syllabus for Math 130: Contemporary Math, Spring 2012

Mathematics Department - Arts and Sciences Division - Kaskaskia College

 

"I took the road less traveled by, and that has made all the difference." - Robert Frost

 

Instructor:   Jodi Palm

Office Hours: To be announced

Office:   ST - 118         Phone: 618-545-3360                                                             email: jpalm@kaskaskia.edu

  Appointments for extra help with math may be made by contacting the instructor.

 

Text:     For All Practical Purposes, 8 th Edition, by Comap, Freeman Publishing Co, and Copyright 2009

 

Course Description for Math 130 Contemporary Math                                     Credit Hours: 3.0

This course includes selection of mathematical principles to better understand issues in a contemporary society. The focus is on mathematical reasoning and the solving of real-life problems rather than routine skills and appreciation.   Topics include mathematical modeling, probability and statistics, graph theory, and linear programming.

Prerequisite: Math 107

 

Materials Required:

                      Textbook, loose-leaf paper, pencils

                      Suggested: Scientific calculator, notebook/folder

 

Grading Policy:

                     

Grades will be based on papers, homework, quizzes, and tests.

 

                      Homework = approximately 10 points per chapter (about 10% final grade)

Quizzes = approximately 30 points per chapter (about 30% final grade)                

                      Tests = approximately 100 points per chapter (about 57% final grade)

                      Papers = approximately 20 points total (about 3% final grade)                      

 

                                                Four 50-minute tests will be given during the semester, 100 points each

                                                      Test 1 Chapter 1 and Chapter 2         Urban Services and Business Efficiency
                                                      Test 2 Chapter 3 and Chapter 4         Planning, Scheduling and Linear                                                                                                                                                                                                               Programming
                                                      Test 3 Chapter5 and Chapter 6           Exploring Data: Distributions and                                                                                                                                                                                                           Relationships                                                                                                           Test 4 Chapter 7 and Chapter 8                       Data for Decisions and Probability        

                      Grading Scale

                      A = 90%- 100%

                      B = 80% - 89%

                      C = 70% - 79%

                      D = 60% - 69%

                      F = Below 60%

 

 

Grading Policy continued:

Note: When there is a question concerning the point value given on a graded quiz or exam, please write a response to the instructor and submit this within a week of receiving the paper. Class time is not the appropriate place to discuss this issue.

Attendance:

Attendance is expected and is beneficial for successful completion of this course. Students are expected to attend ALL scheduled class periods. If more than two weeks of classes are missed without a valid excuse, a student may be withdrawn from the class with an F. Students will not be allowed to make up homework, quizzes, or tests. For emergency situations, approval MAY be given for a missed class. Arrive on time and sign the attendance sheet for each class to receive full credit for course work that day. If you plan to withdraw from the course, it is your responsibility to make these arrangements!

 

If you miss less than 2 classes prior to midterm, you may have the opportunity to complete an extra credit paper worth 10 points. If you miss less than 2 classes from midterm to April 27, you may complete another extra credit paper worth another 10 points.

 

 

Tardiness:

It is disrespectful to others to interrupt a scheduled class. Arriving late for class will affect your grade. Participation scores will be lowered, homework may not be accepted, and extra time will not be given to complete quizzes or tests.

 

 

Make-Up Policy:

To reduce the number of make-up quizzes, each student's grade will reflect the lowest quiz score and lowest homework score dropped.

 

As stated earlier, for emergency situations, approval MAY be given for a missed class. At the discretion of the instructor, if the opportunity for a make-up quiz or test is given, this quiz or test will be more difficult than the scheduled quiz or test. Another option is that a comprehensive quiz at the end of the semester may be given. If possible, students must meet with the instructor before missing a class to discuss the extreme circumstance. If this is not possible, students must meet with the instructor prior to the next class meeting.

 

 

Cell Phones:

                      For the integrity of this class, cell phones may not ring or be used during quizzes or tests.

 

 

Plagiarism or Cheating :

Serious consequences will occur in the event of plagiarism or cheating. Plagiarism occurs if you submit work of someone else or take credit for words of another. Cheating occurs if you use someone's work or allow another student to use your work. In the event of sharing work, the integrity of both students is in question.

 

                     

Violations of Academic Honesty

 

Submitting the work of another as your own--with or without his or her knowledge.

Stealing parts of or the entirety of a web site source, an article or a book for use in your paper.

Using the ideas and/or exact words of a professional writer (or internet source) without giving that person credit and without putting quotation marks around his or her words.

Sharing your paper with another student that he or she may use some or all of your ideas.

Submitting an essay in this class that has also been submitted in another class, or submitting an essay that contains a substantial amount of material taken from an essay submitted in another course.

 

 

Chapters to Be Covered:

                      Chapter 1:   Urban Services - Euler Circuits

                      Chapter 2:   Business Efficiency - Hamiltonian Circuits

                      Chapter 3:   Planning and Scheduling

                      Chapter 4:   Linear Programming

                      Chapter 5:   Exploring Data: Distributions

                      Chapter 6:   Exploring Data: Relationships

                      Chapter 7:   Data for Decisions

                      Chapter 8:   Probability: The Mathematics of Chance

                      If time permits, an additional chapter may be covered.

 

 

Math 130 Contemporary Mathematics Outcomes:

 

After successful completion of Math 130 a student should be able to perform the following at a 70% success rate. (C or better)

 

  1. Determined whether a graph contains for Euler circuit.
  2. Find an approximate solution to the traveling salesman problem by applying the nearest-neighbor algorithm.
  3. Find an approximate solution to the traveling salesman problem by applying the sorted-edges algorithm.
  4. Given a graph with edge weights, determine a minimum-cost-spanning tree.
  5. Find the earliest possible completion time for a collection of tasks by finding the critical path in their order requirement digraph.
  6. Apply the list-processing algorithm to schedule independent task on identical processors.
  7. When given an order-requirement digraph, apply the list-processing algorithm to schedule a list of task subject to the digraph.
  8. Solve a bin-packing problem
  9. Apply the corner point theorem to determine the maximum profit for a linear programming problem.
  10. Identify the population in a given sampling or experimental situation.
  11. Identify the sample in a given sampling or experimental situation.
  12. Analyze a sampling example to detect sources of bias.
  13. Use a table of random digits to select a random sample from a small population.
  14. Describe the placebo effect.
  15. Calculate the measures of central tendency of a set of data.
  16. List the five-number summary for a given data set.
  17. Construct a histogram and/or a scatterplot for a small data set.
  18. Describe the sample space for a given random phenomenon.
  19. Explain what is meant by the probability of an outcome.
  20. Apply the laws of probability to determine the validity of a probability model.
  21. Compute the probability of an event when the probability model of the experiment is given.
  22.   Apply the 68%-95%-99.7% rule to compute normal probability
  23. Compute the expected value of an outcome when the associated probability model is defined.
  24. Explain the significance of the central limit theorem.
  25. Understand the purpose of a check digit and be able to determine one for various schemes.
  26. Be able to convert a given ZIP code to its corresponding bar code, and vice versa.

 

 

 

 

 

 

 

Important Dates:

 

                      Last day to drop a class and receive full refund

                      Last day to withdraw with a W

 

                      NOTE: Following midterm, please know that it is your responsibility to withdraw from this class is you desire a W on your transcript. Failure to withdraw and not attending will result                   in an F for you transcript grade. Do not assume that I will withdraw you with a W for not attending.

 

Security:

                     

                      Observe the campus maps in each room to locate fire exits, first aid kits, and evacuation meeting areas. Also discuss in each class the appropriate steps to follow in emergency situations. From any campus phone, dial 9 then 911. To reach security on campus, from any campus phone, dial 3199.

 

 

Philosophy Statement:

 

Teaching is empowering students to achieve success both academically and personally. It is on one level guiding students to learn new material. However, on a deeper level, teaching is about giving students the ability to learn new ideas and build on these ideas. Students will see the positive effects of studying and working to achieve a goal through determination and dedication.

 


Students in my class will see a learning environment that is both exciting and challenging to promote excellence. Also, students will be treated with respect in a positive atmosphere where discussion of a variety of ideas is encouraged.

 

 

 

 

A note of encouragement:

I look forward to working with you during this course. As with any math course, a dedication is needed toward both the completion of assignments and preparation for quizzes and exams. All odd-numbered problems have the answers in the back of the textbook. This is designed to give you a guide to understanding the concepts presented in each section. We will work several examples together during class; in addition, the text provides sample problems for you to study.

                     

You need to know that this course will not be easy. If you have difficulty understanding a concept, please do not hesitate to ask questions during class; your questions will help the other students! You may also stop by my office, and I will be happy to answer your questions. There are videos and websites to assist your learning. Be sure to take advantage of the

Success Center where math tutoring is available. Please make an appointment in advance. Evening hours by appointment will be offered in addition to the regular hours listed:

Monday through Thursday, 7:30 a.m. - 7:00 p.m. and Friday, 7:30 a.m. - 4:00 p.m.

 

It is my goal that you will have a good experience with mathematics and leave this class with the confidence to pursue future mathematics courses.

                     

"There are no shortcuts!" - Rafe Esquith

 

"The game's on the schedule, we have to play it, we might as well win it." - Bill Russell          

 

 


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