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Mathematics
As mathematics
is both a cultural and a technical field of study, the curriculum
is planned with the following objectives: (1) to offer students
an introduction to mathematics as an important area of human
thought; (2) to prepare students for graduate study in pure
or applied mathematics, and in such related fields as statistics
and operations research; (3) to serve the needs of students
in fields that rely substantially on mathematics, such as
the physical, biological, social and information sciences,
engineering, and business administration; and (4) to provide
liberal arts students with an introduction to the kinds
of mathematical and quantitative thinking important in the
contemporary world.
Individual
guidance in the selection of courses and the design of course
sequences to serve particular needs and interests is offered
by all members of the Department to all students, but the
following information will provide a preliminary basis for
making plans and choices.
Advanced
Placement.
Students who have taken one of the two College Board Advanced
Placement Program examinations in calculus, or the examination
in statistics, will receive credit as follows. Students
scoring 4 or 5 on the BC examination in calculus receive
eight hours credit, equivalent to Mathematics 133 and 134.
Students scoring 3 on the BC examination in calculus with
an AB sub-score of 4 or 5 receive four hours credit, equivalent
to Mathematics 133. Students scoring 4 or 5 on the AB examination
in calculus receive four hours credit, equivalent to Mathematics
133. Students scoring 4 or 5 on the examination in statistics
receive four hours credit, equivalent to Mathematics 113.
Students
given credit for one or more courses in this way do not
need to take a Mathematics Placement Exam. They are encouraged
to place themselves at the appropriate level in the mathematics
curriculum according to the guidelines given below (see
Initial Placement and Course Sequence Suggestions) in consultation
with a member of the Mathematics Department.
Mathematics
Placement Exams.
Students wishing to enroll in an entry-level calculus
course (Mathematics 131, 132, or 133) must take the Calculus
Readiness Exam (which does not cover calculus, only precalculus).
Likewise, students wishing to enroll in an entry-level
statistics course (Mathematics 113 or 114) must take the
Statistics Readiness Exam. The placement exams are given
twice during orientation. At other times they may be taken
by arrangement with the Mathematics Department secretary.
Please note that all students, regardless of their examination
scores, are encouraged to consult with a member of the
Mathematics Department concerning their placement in the
mathematics curriculum.
Initial
Placement and Course Sequence Suggestions. Students
who wish to continue their study of mathematics can choose
among the following courses:
Courses
Without Prerequisites. Students who wish to satisfy
the quantitative proficiency requirement, or who, simply
out of curiosity, want to take a course in mathematics
are encouraged to consider the courses numbered 100 and
below.
Entry-level
Statistics Courses.
Students
whose primary interest is in the social, behavioral, or
biological sciences and who have no need for calculus
are encouraged to consider enrolling in Mathematics 113Statistical
Methods for the Social and Behavioral Sciences or Mathematics
114Statistical Methods for the Biological Sciences.
These courses presuppose good algebra skills and require
an appropriate score on the Statistics Readiness Exam.
Students with less background are encouraged to consider
enrolling in Mathematics 100Elementary Statistics.
Entry-level
Calculus Courses.
Students whose interests are in mathematics, or in a field
requiring calculus, will normally enroll in Mathematics
131Calculus Ia: Limits, Continuity, and Differentiation,
or in Mathematics 133Calculus I: Limits, Continuity,
Differentiation, Integration, and Applications. The particular
course, Mathematics 131 or Mathematics 133, depends on
the student's score on the Calculus Readiness Exam. Note
that students who wish to continue with calculus after
completing Mathematics 131 should take its sequel, Mathematics
132Calculus Ib: Integration and Applications. The
two-semester sequence Mathematics 131, 132 is equivalent
to the more intensive single semester course, Mathematics
133.
Courses
Following Entry-level Calculus.
Students whose secondary-school preparation includes satisfactory
work in calculus obtained in the College Board Advanced
Placement Program or in another comparable course of study,
as well as students who have completed either Mathematics
132 or 133, can continue their study of calculus with
Mathematics 134Calculus II: Special Functions, Integration
Techniques, and Power Series. This course completes the
standard introduction to the calculus of functions of
one variable.
Courses
Following Calculus.
Students who have completed Mathematics 134 or have been
granted credit for this course through the College Board
Advanced Placement Program or another comparable course
of study can register for Mathematics 220Discrete
Mathematics, or Mathematics 231Multivariable Calculus,
or Mathematics 232Linear Algebra. Students planning
to major in mathematics are strongly encouraged to enroll
first in Mathematics 220, and thereafter in Mathematics
231 and Mathematics 232. Students planning a concentration
in Applied Mathematics will also need to take Mathematics
113Statistical Methods for the Social and Behavioral
Sciences or Mathematics 114Statistical Methods for
the Biological Sciences. First-year students should not
register for a 300-level mathematics course without consulting
with a member of the Mathematics Department.
Major.
A major in mathematics consists of thirty-four hours,
including Mathematics 220, 231 and 232. In addition, students
select one of the following two concentrations:
Concentration
in applied mathematics. Students selecting this concentration
must take either Mathematics 113 or Mathematics 114, and
at least 12 hours of advanced mathematics courses numbered
300 and above. This must include either Mathematics 301
or 327 and three courses from among 331, 335, 336, 337,
338, and 340.
Concentration
in pure mathematics. Students selecting this concentration
must take at least 12 hours of advanced mathematics courses
numbered 300 and above, including both Mathematics 301
and 327, and at least one of the following two-course
sequences: Mathematics 301/302, 301/356, 301/358, 327/328
or 327/329.
Important
note: Students planning to pursue graduate work in mathematics,
or a closely related field, need to complete more than the
minimum requirements for the mathematics major. Such students
should plan their major carefully with the advice of a member
of the Mathematics Department.
It is strongly
urged that students specializing in mathematics also obtain
substantial background in some field that uses mathematics.
In particular, students majoring in mathematics are encouraged
to gain some experience with computing. To that end, credit
for one computer science course (that would also count toward
a Computer Science major) may also be counted toward the
thirty-four hour requirement for the major in mathematics.
Private readings are also available, with the consent of
an instructor, in any area of mathematics appropriate for
a student's major. Finally, interdisciplinary majors involving
a coherent program of work in mathematics and a related
field can be arranged through the College Individual Majors
Committee to suit special student interests and needs.
Minor.
A minor in mathematics consists of at least fifteen hours
of course work, including any three of Mathematics 220,
231, 232, 234, and at least six hours of courses numbered
300 and above.
Honors.
At the end of their junior year, students with outstanding
records are invited to participate in the Mathematics honors
program. Seniors in the program normally elect three hours
of independent study each semester. This special study is
supervised by a faculty advisor who works closely with the
student. Honors students take a comprehensive examination,
written and oral, at the end of the senior year. This honors
examination is conducted by an outside examiner and is designed
to test both the candidate's knowledge of undergraduate
mathematics and mastery of the subjects emphasized in his
or her independent honors study.
Winter
Term.
Most members of the Mathematics Department will be participating
in Winter Term 2003, and will be available to sponsor projects.
Mathematical
interests in the department include abstract algebra, algebraic
geometry, combinatorics, dynamical systems, mathematics
and computation, differential equations, differential geometry,
history of mathematics, mathematics education, non-Euclidean
geometry, number theory, operations research, probability,
real and complex analysis, topology, and statistics.
Avocational
interests of Department members which could form the basis
for a sponsored Winter Term project include electronic composition
and synthesis of music, games of strategy, and juggling.
For further information regarding these possibilities, inquire
in the Mathematics Department office.
Distinguished
Visiting Scholar.
Thanks to the generosity of alumni, the Mathematics Department
is able to sponsor an annual visit by an eminent mathematical
scientist who will conduct classes and deliver a public
lecture.
John D.
Baum Memorial Prize in Mathematics.
Established by the Mathematics Department, this $100 prize
is awarded annually to the Oberlin College student who has
achieved the highest score on the William Lowell Putnam
Mathematical Competition.
Rebecca
Cary Orr Memorial Prize in Mathematics.
Established by the family and friends of Rebecca Cary Orr,
this $2000 prize is awarded annually by the Mathematics
Department on the basis of scholastic achievement and promise
for future professional accomplishment.
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Introductory
Courses
030. Topics
in Contemporary Mathematics 3 hours
3NS,
QPf
First Semester.
The interaction of mathematics with the social sciences
is the central theme. Topics are drawn from: graph theory,
game theory, linear programming, coding theory, exploratory
data analysis, and combinatorics. Applications are given
to social choice, decision-making, management and ecological
modeling. Prerequisite: A working knowledge of elementary
algebra and geometry. Notes: This course does not
count toward a major in Mathematics. It is intended for
students who have not satisfied the quantitative proficiency
requirement. Enrollment Limit: 30.
Staff
050. Dots,
Lines, and Coin Flips 3 hours
3NS,
QPf
Second Semester.
An introduction to two important ways of describing the
world mathematically. Graphs model maps and networks--road,
telephone, computer, social. Probability theory describes
the order that can lurk in random phenomena. Using both
these tools, we will examine questions like: How random
is the stock market? How tightly is the World Wide Web connected?
Are there just six degrees of separation? Notes:
This
course does not count toward a major in Mathematics. It
is intended for students who have not satisfied the quantitative
proficiency requirement Enrollment Limit: 30.
Ms. Wilmer
080. Lies,
Damned Lies, and Decisions 3 hours
3NS,
QPf
Next
offered 2003-2004.
090. Environmental
Mathematics 3 hours
3NS,
QPf
First Semester.
This course focuses on the application of mathematics to
problems concerning the environment. Topics include simulation
(models of population growth, predator-prey relationships,
and epidemics); optimization (applications to groundwater
hydrology, herbivore foraging, and transportation of hazardous
wastes); and decision analysis (applications to management
of endangered species and resolution of environmental disputes).
Notes:
This
course does not count toward a major in mathematics. It
is intended for students who have not satisfied the quantitative
proficiency requirement. Not open to any student who has
received credit for a course in MATH 131 or higher. Enrollment
Limit: 20.
Mr. Bosch
095. Chaos 3
hours
3NS,
QPf
Second Semester.
An introduction to fractal geometry, chaotic dynamical systems
and complexity. Emphasis will be placed on how fractals
and chaos relate to each other and to natural phenomena.
Applications to many fields including biology, economics,
physics, computer graphics, literature and the visual arts
will be given. Notes: This course does not count
towards a major in mathematics. It is intended for students
who have not satisfied the quantitative proficiency requirement.
Not open to any student who has received credit for a course
in MATH 131 or higher. Enrollment Limit:
30.
Mr. Walsh
100. Elementary
Statistics 4 hours
4NS,
QPf
First
and Second Semester. An introduction to the statistical
analysis of data. Topics include exploratory data analysis,
probability, sampling, estimation, and hypothesis testing.
Statistical software is introduced, but no prior computer
experience is assumed. This course focuses on statistical
ideas and downplays mathematical formulas. It is intended
for students in the social sciences and humanities with
minimal mathematical experience who have not satisfied
the quantitative proficiency requirement. Notes:
MATH 100 does not count toward a mathematics major and
is not open to students who have completed a semester
of calculus. Students may not receive credit for more
than one of MATH 80, MATH 100, MATH 113, and MATH 114.
Enrollment Limit: 36.
Mr. Witmer,
Mr. Andrews
113. Statistical
Methods for the Social and Behavioral Sciences 4
hours
4NS,
QPf
First
and Second Semester. A standard introduction to statistics
for students with a good background in mathematics. Topics
covered include exploratory data analysis, descriptive
statistics, probability, sampling, estimation, and statistical
inference. A broad spectrum of examples is employed. Statistical
software is introduced, but no prior computer experience
is assumed. Prerequisite: An appropriate score
on the Statistics Readiness Exam. Notes: The statistical
content of this course is largely the same as MATH 114;
the applications are different. Students may not receive
credit for more than one of MATH 80, MATH 100, MATH 113,
and MATH 114. Consent of instructor required. Enrollment
Limit: 36.
114. Statistical
Methods for the Biological Sciences 4 hours
4NS,
QPf
First
and Second Semester. A standard introduction to statistics
for students with a good background in mathematics. Topics
covered include exploratory data analysis, descriptive
statistics, probability, sampling, estimation, and statistical
inference. Biological and medical examples are emphasized.
Statistical software is introduced, but no prior computer
experience is assumed. Prerequisite: An appropriate score
on the Statistics Readiness Exam. Notes: The statistical
content of this course is largely the same as MATH 113;
the applications are different. Students may not receive
credit for more than one of MATH 100, MATH 113, and MATH
114. Consent of instructor required. Enrollment Limit:
36.
Mr. Witmer,
Mr. Andrews
131. Calculus
Ia: Limits, Continuity and Differentiation 4 hours
4NS,
QPh
First
Semester. A first course in the calculus of functions
of one variable including supporting material from algebra
and trigonometry. Topics include limits, continuous functions,
solution of equations and inequalities, differentiation
of real-valued functions of one variable, and the graphical
analysis of functions. The two-course sequence MATH 131,
MATH 132 is equivalent to the more intensive MATH 133.
Prerequisite:
An appropriate score on the Calculus Readiness Exam.
Consent of instructor required. Enrollment Limit: 32.
Ms. Knight,
Staff
132. Calculus
Ib: Integration and Applications 4 hours
4NS,
QPf
Second
Semester. Continuation of MATH 131. Topics include integration
of real-valued functions of one variable, basic properties
of the trigonometric and exponential functions, the fundamental
theorems of the calculus, and applications. Prerequisite:
MATH 131 or an appropriate score on the Calculus Readiness
Exam. Consent of instructor required. Enrollment Limit:
32.
Ms. Knight,
Staff
133. Calculus
I: Limits, Continuity, Differentiation, 4 hours
Integration, and Applications
4NS,
QPf
First
and Second Semester. A standard first course in the
calculus of functions of one variable. Topics include
limits, continuous functions, differentiation and integration
of real-valued functions of one variable, the fundamental
theorems of calculus, and applications. This course
is equivalent to the two-course sequence MATH 131, MATH
132. Prerequisite:
An appropriate score on the Calculus Readiness Exam.
Consent of instructor required. Enrollment Limit:
32.
Mr.
Schirokauer, Staff
134. Calculus
II: Special Functions, Integration Techniques, 4
hours
and Power Series
4NS,
QPf
First
and Second Semester. Continuation of the study of the
calculus of functions of one variable. Topics include
logarithmic, exponential and the inverse trigonometric
functions, techniques of integration, polar coordinates,
parametric equations, infinite series, and applications.
The course sequences MATH 133, 134 and MATH 131, 132,
134 both provide a standard introduction to single-variable
calculus. Prerequisite: MATH 132 or MATH 133.
Enrollment Limit: 32.
Staff,
Mr. Young
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Intermediate
Courses
220. Discrete
Mathematics 3 hours
3NS,
QPf
First and
Second Semester. An introduction to a wide variety of mathematical
ideas and techniques that do not involve calculus. Topics
such as graph theory, combinatorics, difference equations,
elementary number theory, recursion, mathematical induction,
and logic. Prerequisite:
MATH 133. Enrollment Limit: 32.
Ms. Wilmer,
Mr. Bosch, Mr. Walsh
231. Multivariable
Calculus 3 hours
3NS,
QPf
First and
Second Semester. An introduction to the calculus of several
variables. Topics considered include vectors and solid analytic
geometry, multidimensional differentiation and integration,
and a selection of applications. Prerequisite:
MATH 134. Enrollment Limit: 32.
Ms. Colley,
Mr. Young
232. Linear
Algebra 3 hours
3NS,
QPf
First and
Second Semester. An introduction to linear algebra. Topics
considered include the algebra and geometry of Euclidean
n-space, matrices, determinants, abstract vector spaces,
linear transformations, and diagonalization. Prerequisite:
MATH 134 or MATH 220. Enrollment Limit: 32.
Mr. Schirokauer,
Ms. Colley
234. Differential
Equations 3 hours
3NS,
QPf
First Semester.
An introduction to analytic, qualitative and numerical methods
for solving ordinary differential equations. Topics include
general first order equations, linear first and second order
equations, numerical methods (Euler, Runge-Kutta), systems
of first order equations, phase plane analysis, and Laplace
Transforms. There is emphasis throughout the course on geometric
and qualitative interpretations of differential equations,
as well as applications to the natural sciences. Prerequisite:
MATH 231. Enrollment Limit: 32.
Staff
240. Applied
Mathematics 3 hours
3NS,
QPf
Second Semester.
This course will cover several areas of applied mathematical
modeling including linear programming and optimization,
multiple regression, and dynamical systems. Knowledge of
these topics will permit students to construct models that
accurately represent data in a wide range of fields from
image compression to economic theory to population dynamics.
Students will use a variety of software packages to analyze
real world data. Prerequisites:
MATH 133 and either MATH 113 or MATH 114. Enrollment Limit:
20.
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Advanced
Courses
301. Advanced
Calculus 3 hours
3NS,
QPf
First Semester.
A rigorous examination of the basic elements of analysis.
The structure of the real number system, continuity, differentiability,
uniform continuity, integrability of functions of a single
variable, sequences, series, and uniform convergence are
typical topics to be explored. Prerequisite:
MATH 231. MATH 220 is also highly recommended.
Mr. Walsh
302. Topics
in Advanced Calculus: Chaos, Fractals and Dynamics 3
hours
3NS,
QPf
Next
offered 2003-2004.
305. Partial
Differential Equations 3 hours
3NS,
QPf
First Semester.
A course on analytical solution techniques for partial differential
equations (PDEs) and boundary value problems. Topics include
separation of variables, Fourier series, solutions to classical
PDEs in standard geometries, Sturm-Liouville theory, and
Fourier transforms. Based on student interest, additional
topics may be chosen from among: numerical solutions techniques
to PDEs, Green's functions, method of characteristics, discrete
Fourier transforms, and specific applications. Prerequisite:
MATH 234. Note: Given in alternate years only.
Staff
317. Number
Theory 3 hours
3NS,
QPf
Next
offered 2003-2004.
327. Group
Theory 3 hours
3NS,
QPf
Second Semester.
A first course in the modern algebraic structures and techniques
fundamental to mathematics and useful in many areas of science
and engineering. Topics include: groups, subgroups, quotient
groups, isomorphism theorems, permutation groups, finite
groups, and applications to combinatorics, geometry, symmetry,
and crystallography. Prerequisite: MATH 232. MATH
220 is also highly recommended.
Staff
328. Computational
Algebra and Algebraic Geometry 3 hours
3NS,
QPf
First Semester.
This course examines connections between the algebra and
geometry of the set of solutions to a system of polynomial
equations (called a variety) and the use of algorithms to
effect concrete calculations. Topics studied include rings
and ideals, Gröbner bases, resultants and elimination
theory, Hilbert's Nullstellensatz, the correspondence between
polynomial ideals and algebraic varieties, and applications
of the methods to other areas of mathematics. There will
be opportunities for computer experimentation and student
projects. Prerequisites: MATH 231 and MATH 232. MATH
220 is also highly recommended. Note: Given in alternate
years only.
Ms. Colley
329.
Abstract Algebra: Rings and Fields 3 hours
3NS,
QPf
Next
offered 2003-2004.
331. Optimization 3
hours
3NS,
QPf
First
Semester. An introduction to linear, integer, and nonlinear
programming. Emphasis is placed on the theory of mathematical
programming and the analysis of optimization algorithms.
These are applied to significant problems in the fields
of medicine, finance, public policy, transportation,
and telecommunications. Prerequisites:
MATH
231 and MATH 232.
Mr.
Bosch
335. Probability 3
hours
3NS,
QPf
First
Semester. An introduction to the mathematical theory
of probability and its applications. Topics include
discrete and continuous sample spaces, combinatorial
problems, random variables, probability densities, probability
distributions, limit theorems, and stochastic processes.
Prerequisite: MATH 231. MATH 220 is also strongly
recommended.
Ms.
Wilmer
336. Mathematical
Statistics 3 hours
3NS,
QPf
Second
Semester. The theory of probability is applied to problems
of statistics. Topics include sampling theory, point
and interval estimation, tests of statistical hypotheses,
regression, and analysis of variance. Prerequisites:
MATH 232, MATH 335. Note: Given in alternate
years only.
Mr.
Witmer
337. Data
Analysis 3 hours
3NS,
QPf
Next
offered 2003-2004.
338. Probability
Models and Random Processes 3 hours
3NS,
QPf
Next
offered 2003-2004.
343. Combinatorics 3
hours
3NS,
QPf
Second
Semester. An advanced course in discrete mathematics.
Topics covered include enumeration, combinatorial identities,
generating functions, partitions, and set systems.
Prerequisite:
any one of MATH 317, 327, 328, 329, or 335.
Ms.
Wilmer
350. Geometry 3
hours
3NS,
QPf
Next
offered 2003-2004.
353. Topology 3
hours
3NS,
QPf
Second
Semester. An introduction to point-set and algebraic
topology. The fundamental notion of a topological space
is introduced and various properties a topological space
might have are studied, including connectedness and
compactness. Spaces are also investigated by means of
certain algebraic invariants including the fundamental
group. These invariants are applied to the theory of
covering spaces and various results about surfaces,
continuous maps, and vector fields are proved. Prerequisite:
MATH 301 or 327 or consent of instructor. Note:
Given in alternate years only.
Ms.
Colley
356. Complex
Analysis 3 hours
3NS,
QPf
Second
Semester. An introduction to the theory of differentiable
functions of a complex variable, including the Cauchy
theorems, residues, series expansions, and conformal
mappings. Prerequisite:
MATH
301. Note: Given in alternate years only.
Mr. Walsh
358. Real
Analysis 3 hours
3NS, QPf
First
Semester. This course presents important generalizations
of integration and differentiation. An introduction
to metric spaces, Lebesgue's theory of the integral,
and general measure and integration theory. Prerequisite:
MATH 301. Note: Given in alternate years only.
Mr.
Walsh
401. Honors 2-4
hours
2-4NS
Consent
of instructor required.
995. Private
Reading 1-3 hours
1-3NS
Consent
of instructor required.
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