SYLLABUS
Course: MATH
217 Calculus I Term: Winter 2007-08 Meets: MTWF 10:40 – 11:50
Instructor: Craig Kalicki Office: HH-284
E-mail: craig.kalicki@briarcliff.edu Phone: 279-5541
Text: Stewart, Essential Calculus Early
Transcendentals, First Edition, Thomson Brooks/Cole, ã2007
ISBN 0-495-01428-1
Prerequisites:
Students in
this course should have had at least three years of high school mathematics
including some
trigonometry, but four years is highly recommended. Anyone who does not meet these prerequisites
is
advised to take MATH 112 Elementary Functions or an equivalent course as
additional preparation.
Goals of course:
MATH
217 is a survey of topics in beginning calculus and is intended for students in
mathematics, the
physical sciences, and pre-engineering.
Students in this course should expect to
1)
gain an appreciation of calculus as an organized body of mathematical
tools with numerous applications
in the sciences.
2)
develop some of the mathematical skills necessary to understand and
apply models involving the
concepts of calculus.
3)
learn to discover mathematical results by experimentation, examining
evidence, and formulating and
testing conjectures.
4)
become competent in the use of technology as a tool for discovering,
learning, and applying
mathematics.
General education:
MATH 217 is
designated as a basic quantitative literacy (QL) course. Quantitative literacy at Briar Cliff is
defined as “a collection of acquired 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 successfully completing this course, students will be able to do the
following at a basic level:
-
read and understand quantitative information.
-
use algebraic and graphical methods to solve problems in context.
-
interpret mathematical models and draw inferences from them.
-
compare and assess solutions of quantitative problems.
-
effectively communicate results of quantitative investigations.
-
recognize limitations of mathematical methods.
-
use appropriate technology as an aid for solving problems.
Grading
procedure:
|
Three exams @ 15% |
45% |
|
A = 100 - 93 |
C+ = 76 - 74 |
|
Final exam |
25% |
|
A- = 92 - 90 |
C = 73 - 67 |
|
Text assignments |
20% |
|
B+ = 89 - 87 |
D+ = 66 - 64 |
|
Computer lab reports |
10% |
|
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.
A
separate rubric will be distributed for lab reports.
|
Level |
Characteristics |
|
4 |
Solution
is correct and clearly stated. |
|
3 Good |
Method
of solution is substantially correct. |
|
2 Adequate |
Method
of solution is flawed but some elements are correct. |
|
1 Minimal |
Solution
is attempted but significant errors occur. |
|
0
Unacceptable |
Solution
is omitted or an answer is given with no supporting evidence. |
Expectations of students:
1) Attend class and computer lab on a regular
basis. Three or more unexcused absences
should be considered
excessive. If you miss a lab, you will need to make it
up on your own time.
2) Read and review the text as needed, paying
particular attention to terminology and examples. There will be
no specific reading assignments,
but it will be assumed that you are reading the material in the text that is
relevant to lectures and
discussions in class.
3) You may want to take some notes in
class, but trying to transcribe lectures is highly inadvisable. Most of the
material presented in class is also in
the textbook. The most important
activities in class are listening and
asking questions.
4) Come to class prepared to ask questions and
present solutions of assigned problems.
Due to time
constraints, not all assigned
problems will be discussed in class.
Solutions of selected problems will be
placed in a reserve folder in the
main library. Doing text assignments and
studying for exams with others
in the course is encouraged.
5) Make use of your instructor's office
hours. Ask for help whenever
difficulties arise or when you feel the need
for advice or encouragement.
6) Hand in reasonably complete text
assignments. Credit will be given for
handing in assignments and selected
problems will be graded. Answers to odd-numbered problems are in the
back of the text. Assignments are
to be handed in at the beginning
of class on the date due. No
late work will be accepted except in cases
of serious illness or family
emergency.
7) Do all lab exercises and be prepared
to discuss results obtained and any problems encountered at the next
class meeting. Labs are intended to be cooperative learning
experiences; working with a lab partner is
expected. The report for each lab is due at the next
lab meeting. Carelessly written lab
reports may be
returned for resubmission.
8) Show evidence of learning on exams. Exams will be thorough and sufficient study
time must be allotted.
Exams will require understanding
of concepts as well as ability to perform computational procedures.
Unexcused absence from an exam
will result in an automatic grade of zero for that exam.
Technology:
Each student
should have a graphing calculator available for use during class and
exams. Keep the manual
supplied with the calculator and learn to use the calculator effectively. Recommended models are the TI 84+,
86, or 89. The software Derive 6 is
installed on the Briar Cliff network and will be used in all lab sessions.
Derive is very user-friendly, and students should expect to become reasonably
proficient in its use by the end
of the term.
Student
learning outcomes:
The specific expected learning outcomes for this course are listed
below. Assessment of the degrees to
which
these outcomes have been achieved will be done via written exams, homework
assignments, and lab reports.
Students who have completed MATH 217 will be able to
1) define and understand the concept of a
function of one variable.
2)
represent and interpret functions using formulas, tables, and graphs.
3) apply functions as mathematical models.
4) perform algebraic operations on functions.
5) understand the concept of limit of a
function.
6) use technology to approximate limits.
7) define and understand the concept of
continuity.
8) define and understand the concept of the
derivative of a function.
9) find derivatives analytically using basic
rules.
10) use the process of implicit differentiation.
11) apply the derivative to problems involving
rates of change.
12)
compute and apply linear approximations of functions.
13) find and apply derivatives of common
transcendental functions.
14) find absolute and local extreme values of
functions.
15) analyze the graphical behavior of functions.
16)
solve applied optimization problems.
17) find antiderivatives analytically using basic
rules.
18)
understand the concept of definite integral.
19) approximate the values of definite integrals
using technology.
20) understand and apply the Fundamental Theorem
of Calculus.
Course outline:
Ch 1 Functions and Limits [7 classes]
Representations of functions
/ functions as models / catalog of basic functions / transformations of
functions / composition of functions /
limit of a function / properties
of limits / continuity / limits
involving infinity.
Ch 2 Derivatives
[9 classes]
The tangent line problem / the instantaneous velocity problem / average
rate of change / derivative of a
function / basic differentiation rules
/ Chain Rule / implicit differentiation / related rates / linear
approximations / differentials.
Ch 3 Inverse Functions [7 classes]
Exponential functions / inverse functions / logarithmic functions / derivatives of exponential and logarithmic
functions / growth and decay models / inverse trig functions / hyperbolic functions / indeterminate forms.
Ch 4 Applications of Differentiation [8 classes]
Extreme values of a function / Extreme and Mean Value Theorems / monotonicity and concavity /
analyzing graphs / optimizations problems / Newton’s method / antiderivatives / rules for antiderivatives.
Ch 5 Integrals
[6 classes]
The
area problem / displacement and
distance / the definite integral /
approximating definite integrals /
Fundamental Theorem of Calculus / substitution rule.
Ó2007 by Craig Kalicki PhD,