SYLLABUS


 

Course:         MATH 111  College Algebra                 Term:     Fall 2007                   Meets:    MTThF 1:50 – 3:00

 

Instructor:    Craig Kalicki       Office:    HH-284       E-mail:    craig.kalicki@briarcliff.edu     Phone:    279-5541

 

Text:             Larson, Hostetler, Edwards, College Algebra A Graphing Approach, 5th Edition, Houghton Mifflin,

                        ã2008, ISBN 0-618-85188-7

 

Goals of course:
           

This course is a survey of topics in algebra intended for students who will take courses in the natural sciences,

business, and the social sciences, as well as higher level mathematics courses.  Students should expect to

   1)  gain an awareness of algebra as a body of mathematical tools for solving problems in many disciplines,

   2)  develop skills important for success in other courses that apply quantitative reasoning,

   3)  become competent in the use of technology as an aid for solving problems,

   4)  achieve a level of quantitative literacy appropriate for a liberally educated person, and

   5)  reduce occurrences of anxiety or avoidance often associated with doing mathematics.

For students in the humanities, MATH 105 Mathematics for Liberal Arts Students is recommended as an

alternative to MATH 111.

 

MATH 111 is designated as a basic quantitative literacy (QL) course.  Quantitative literacy is defined at

Briar Cliff as a collection of skills, knowledge, and dispositions that enable a person to deal with quantitative

issues and problems that arise in academic study, in the workplace, and in daily life.  After completing this

course, students will be able to do the following at a basic level:

   -  read and understand quantitative information.

   -  use mathematical methods to solve problems in context.

   -  interpret and apply mathematical models.

   -  compare alternative solutions of quantitative problems.

   -  effectively communicate conclusions of quantitative investigations.

   -  recognize limitations of mathematical methods.

 

Prerequisites:

Students seeking a Briar Cliff degree must either have a math ACT of at least 21 or have been advised to take

this course based on the results of the mathematics assessment test administered previous to registration. 

Those whose mathematics skills have not been assessed may arrange to be tested through the Department.

This course in not appropriate for students who have had a course in calculus.

 

Expectations of students:

1)  Attend class on a regular basis.  Three or more unexcused absences should be considered excessive.

         Absences due to participation in athletic events or other extracurricular activities sponsored by the

         University are considered to be excused.

2)  Read and review the text as needed, paying particular attention to terminology and examples.  You may

        want to take some notes in class, especially solutions of problems.  PowerPointÒ presentations used in

        class will be made available on BCU Online. 

3)  Be prepared to ask questions, participate in class discussions, and present solutions of assigned problems.

        Mathematics is not a spectator sport -- you must be continually involved in order to be successful.

4)  Ask for help whenever difficulties arise or you feel the need for advice or encouragement.  There is no such

        thing as a “stupid question.”  Due to time constraints, not all questions can be answered in class.  Make

        use of your instructor’s office hours. 

5)  Hand in reasonably complete homework assignments on the dates due.  All assignments will be posted on

        BCU Online.  Solutions should generally include all work that you do; methods of solution are more

        important than answers.  No late work will be accepted except in cases of serious illness or family

        emergency.  If you have not completed an assignment, hand in what you have done on the date due. 

        Working on assignments with others in the course is encouraged.

6)  Show evidence of achieving learning outcomes on exams.  Exams will be thorough and sufficient study time

        should be allocated.  Missing an exam without prior permission will result in a grade of zero for the exam.

 

Grading:      

3 exams @ 20%

60%

 

A   = 100 - 93

C+ =   76 - 74

Final exam

     25%

 

A-  =   92 - 90

C   =   73 - 67

Assignments

15%

 

B+ =   89 - 87

D+  =  66 - 64

 

 

 

B   =   86 - 80

D   =   63 - 55

Total

100%

 

B-  =   79 - 77

 

                       

Grading rubric:

 

The grading rubric below will be used to assess written work, including text assignments and exam questions.

 

        Level   

              Characteristics

 4     Superior

Solution is correct and clearly stated.
All essential steps are shown, are readable, and are in logical order.
Appropriate graphical displays are included and are informative.

 3     Good

Solution is substantially correct.
Minor algebraic or arithmetic errors occur.
Most essential steps are shown.
Appropriate graphical displays are included.

 2     Adequate

Solution is flawed but basically correct.
Mathematical tools are appropriate but incorrectly applied.
Some essential steps are not clearly stated or are omitted.
Graphical displays are poorly constructed or inappropriate.

 1     Minimal

Solution is attempted but significant errors occur.
Mathematical tools are inappropriate or incorrectly applied.
Some essential steps are omitted.
Graphical displays are inappropriate or omitted.

 0     Unacceptable

Solution is omitted or an answer is given with no supporting evidence.

 

Technology:

 

Students are expected to have a graphing calculator available for use at all times, including during class and

exams.  If this will be your first experience with a graphing calculator, spend some time learning to use it. 

Recommended models for this course are the TI-84 Plus and TI-86.  Deriveä 6 for Windows, a user-friendly

computer algebra system, is installed on the BCU network and will be introduced in class.  Some assigned

problems may involve computer solutions.  Experimentation with the software at any time is encouraged.

 

Learning outcomes:

 

Expected student learning outcomes specific to this course are listed below.  Assessment of the degrees to

which these outcomes have been achieved will be done via written exams and homework assignments.

           

Students who have completed MATH 111 will be able to

1)   understand and apply the function concept.

2)   use technology to analyze the graphical behavior of functions.

3)   perform basic transformations and operations on functions.

4)   solve linear equations.

5)   construct and apply linear models.

6)   fit linear models to data.

7)   solve quadratic equations.

8)   analyze and apply quadratic models.

9)   solve basic types of inequalities.

10)  describe behavior of polynomial graphs.

11)  understand and apply exponential models.

12)  understand and apply logarithmic models.

13)  solve linear systems in two variables.

14)  solve applied problems involving linear systems.

15)  use matrices to display and obtain information.

16)  perform basic matrix operations.

17)  find and apply the inverse of a square matrix.

18)  generate terms in sequences and series.

19)  find the sums of arithmetic and geometric series. 

20)  apply basic counting principles.

 

Course outline:

Ch 1  Functions and Their Graphs  [8 classes]

            Graphing equations using technology / mathematical modeling / lines in the plane / functions / graphs

            of functions / transformations of graphs / combining functions / inverse functions.

Ch 2  Solving Equations and Inequalities  [8 classes]

            Solving linear equations /linear models / direct variation / least squares fitting / solving equations

            graphically / complex numbers / solving quadratic equations / quadratic models / solving linear and

            quadratic inequalities.

Ch 3  Polynomial and Rational Functions  [3 classes]

            Graphs of polynomial functions / polynomial models / zeros of polynomial functions / graphs of rational

            functions.

Ch 4  Exponential and Logarithmic Functions  [7 classes]

            Exponential functions / logarithmic functions / properties of logarithms / solving exponential equations /

            exponential and logarithmic models.

Ch 5  Linear Systems and Matrices  [5 classes]

            Linear systems in two variables / matrices / operations on matrices / matrix methods for solving linear

            systems / inverse of a square matrix.

Ch 6  Sequences, Series, and Probability  [5 classes]

            Sequences / arithmetic and geometric sequences / series / counting principles / probability.

 


Ó2007 by Craig Kalicki PhD,  Briar Cliff University,  Sioux City, IA  51104