Mathematics
Faculty
- Sita Ramamurti, Assistant Professor of Mathematics
(Program Chair)
- Lee Chiang, Assistant Professor of Mathematics
- Tasha R. Inniss, Assistant Professor of
Mathematics
- Laurie Johnson, Assistant Professor of
Mathematics
Description
The study of mathematics is an integral part of a liberal
arts education. All students need to develop critical skills
in problem solving and analytic thinking. The Mathematics
Program at Trinity serves the community at large and offers
mathematics students many opportunities to explore both
inside and outside the classroom.
The mathematics major enables students to build a solid
theoretical and technical foundation and to develop an
appreciation of the nature of mathematics in the liberal
arts tradition. Students gain technological expertise
through the use of mathematical software packages and the
development of their own computer software. As seniors,
majors work on individual projects and communicate their
work both through speaking and writing.
Mathematics students are involved in many activities
outside the classroom such as serving as mentors and tutors
to students in introductory courses.
The Mathematics Club, a student chapter of the
Mathematical Association of America (MAA), promotes
mathematics in the local community. The club sponsors talks
with mathematicians employed in a variety of academic and
nonacademic settings and arranges trips to places of
mathematical interest in the local area. Chapter members
attend local and national mathematics meetings and work with
students in the local elementary school.
The Mathematics Program supports both a major and minors
in mathematics, computer science, and applied statistics in the Weekday Program only. The Program
offers two tracks for majors: pure mathematics (Area A) and
mathematics education (Area B).
Area A: Pure Mathematics. Prepares students for
graduate school and professional positions in government,
business, and industry. Majors may adopt a theoretical or
applied focus through their selection of electives ranging
from number theory and history of mathematics to
mathematical modeling and differential equations.
Area B: Mathematics Education. Prepares students
for teaching secondary level mathematics. In conjunction
with the School of Education, majors may pursue a five-year
program. At the end of four years, a mathematics education
major has completed the requirements for a Bachelor of Arts
degree from Trinity in mathematics. Upon completion of the
fifth year, the major is awarded a Master of Arts in
Teaching and meets all certification requirements
established by the National Association of State Directors
of Teacher Education Certification.
Major Requirements
To earn the bachelor's degree, students must complete the
required courses, the supplemental requirements, and either
additional Area A or Area B requirements. MAT 421 Real
Analysis I is strongly recommended for students who plan to
attend graduate school.
Required Courses (42 credits)
- ALL of the following mathematics courses:
- MAT 125 Calculus and Analytic Geometry I
- MAT 126 Calculus and Analytic Geometry II
- MAT 141 Introduction to Programming
- MAT 227 MultiVariable Calculus
- MAT 245 Introduction to Abstract Mathematics
- MAT 247 Linear Algebra
- MAT 301 Abstract Algebra I
- MAT 335 Mathematical Probability and
Statistics
- MAT 490 Senior Seminar
- BOTH of the following physics courses:
- PHY 115 General Physics I
- PHY 116 General Physics II
Area A Requirements (12 credits)
- ONE course chosen from between the following:
- MAT 421 Real Analysis I
- MAT 424 Complex Variables
- ONE additional course at the 200-level or above
- TWO additional courses at the 300-level or above
-
Area B Requirements (12 credits)
ALL of the following courses:
- MAT 237 Differential Equations
- MAT 303 Number Theory
- MAT 340 History of Mathematics
- MAT 450 Geometry
Note: To earn a Master of Arts in Teaching there are
additional requirements set forth by the education program.
Students must confer with the School of Education.
Mathematics Minor Requirements (23 credits)
- ALL of the following courses:
- MAT 125 Calculus and Analytic Geometry I
- MAT 126 Calculus and Analytic Geometry II
- MAT 245 Introduction to Abstract Mathematics
- TWO additional courses at the 200-level or above
- TWO additional courses at the 300-level or above
Computer Science Minor Requirements (20 credits)
- ALL of the following courses:
- MAT 141 Introduction to Programming
- MAT 241 Intermediate Level Programming
- MAT 306 Computer Organization
- MAT 385 Data Structures and Algorithms
TWO additional electives chosen from: Systems Analysis and Design,
Database Management Systems, Computer Networks, and Operating Systems
Applied Statistics Minor Requirements (20 credits)
- ALL of the following courses:
- MAT 110 Introduction to Statistics
- MAT 125 Calculus I
- MAT 210 Statistical Inference
- MAT 302 Applied Statistical Methods
TWO additional electives chosen from: Introduction to Programming,
Mathematical Probability and Statistics, Special Topics in Applied
Statistics, and Operations Research
Program Policies
- Advanced Placement: Students who score 4 or 5
on the calculus AB or BC exam will receive credit for MAT
125. Students who score 4 or 5 on the BC calculus exam
may receive credit for MAT 126 at the discretion of the
program chair.
- CLEP Policy: A satisfactory score on the CLEP
exam in college algebra will be accepted in lieu of MAT
103. A satisfactory score on the CLEP exam in calculus
will be accepted in lieu of MAT 125. Only MAT 125
satisfies the FLC, Area V.
- Grades in Major and Minor Courses: Students
are required to earn a grade of "C" (2.0) or better in
all courses counted to fulfill requirements for the major
or the minor. To become a mathematics major, a student
must receive a "B" or better in MAT 125 and MAT 126 or
the approval of the program chair.
- Pass/No Pass: No major or minor courses may be
taken pass/no pass.
- Senior Assessment: Every mathematics major
must successfully complete MAT 490 Senior Seminar.
- TELL Policy: TELL credits are accepted toward
the Trinity degree based on the approval of program
faculty. TELL credits do not count toward the major in
mathematics.
- Transfer Credits: Students wishing to transfer
credits must consult the chair of the program.
- Course Descriptions
MAT 100A Beginning Algebra 3 cr
Prepares students for college math courses. Students
enroll in this course based on their placement scores.
Topics in this course include a review of the operations on
real numbers, decimals, percentages, fractions, exponents,
linear equations and inequalities, with applications,
polynomials, rational expressions, factoring, quadratic
equations with applications, and graphs of equations and
inequalities. Recommended for students who require a review
of high school algebra.
MAT 103 College Algebra 3 cr
- Provides students with a solid foundation in basic
algebra with an emphasis on problem solving skills.
Topics include linear, quadratic, polynomial, and
rational equations and inequalities with applications;
functions and graphs; polynomial, rational, exponential,
and logarithmic functions; systems of linear equations;
and linear inequalities.
- Prerequisite: MAT 100A or approval of
instructor
MAT 104 Introduction to Computer Science 3 cr
Provides a foundation for using computers in other
courses and curricula for research, communication, and
writing. Students are introduced to the fundamental ideas in
the science of computing and how computers work. Hands-on
experience using a variety of professional software tools
including word processing, databases, spreadsheets, graphics
packages, and scientific packages such as Matlab and Minitab
will be provided. The Internet, the World Wide Web, and
future trends will be discussed in detail. Social and
ethical issues that impact the information age such as
privacy, encryption policy, reliability of socially critical
systems, and the role of simulations in decision-making will
be studied. This is the first course for the study of
computer information. Recommended for all students.
MAT 109 Foundations of Mathematics 3 cr
- Introduces the fundamental principles of various
areas of mathematics as they relate to the other liberal
arts. Topics may include symbolic logic, sets and
combinatorics, probability, introductory descriptive
statistics, geometric structures, and finance.
- FLC, Area I, Level 1
- Core, III
MAT 110 Introduction to Statistics 3 cr
- Presents the basic principles of statistics with
applications to the social sciences. Topics include
descriptive statistics, correlation, regression,
experimental design, probability theory, normal and
binomial distributions, central limit theorem, and
control charts, with an introduction to the use of
statistical software (SPSS).
- Prerequisite: MAT 109 or higher level math
course
- FLC, Area V, Level 1
MAT 123 PreCalculus Mathematics 4 cr
- Prepares students for calculus. Subjects include the
concept of a function, exponential and logarithmic
functions, trigonometric functions and coordinate
geometry. A student who already has a good grasp of these
topics should elect MAT 125 instead of this course.
- Prerequisite: High school algebra
- FLC, Area V, Level 1
- Core, III
MAT 125 Calculus and Analytic Geometry I 4 cr
- Examines the following topics: functions, limits,
continuity, differentiation and applications, and basic
integration.
- Prerequisite: High school algebra and
trigonometry
- FLC, Area V, Level 1
- Core, III
MAT 126 Calculus and Analytic Geometry II 4 cr
- Examines the following topics: applications of the
definite integral, integration of algebraic and
transcendental functions, infinite series, and topics in
analytic geometry.
- Prerequisite: MAT 125
- FLC, Area V, Level 1
- Core, III
MAT 141 Introduction to Programming 3 cr
- Introduces students to programming and graphical user
interfaces. Basic principles of programming including
object-oriented design will be covered.
- Prerequisite: MAT 104 or by permission of the
instructor
MAT 210 Statistical Inference 3 cr
- Applies the principles of inference to the social
sciences. Topics include confidence intervals, inference
for distributions, one and two sample ttest, ztest,
Ftest, comparing two proportions, chi square test, simple
and multiple linear regression, and analysis of variance.
Use of statistical software is an integral part of the
course.
- Prerequisite: Grade of "C" or better in MAT
110
- FLC, Area V, Level 2
MAT 212 Statistics for Teachers of Advanced Placement
Statistics 3 cr
Recommended for the high school teachers who teach
advanced placement statistics courses. Topics include
descriptive statistics, estimation of one population mean,
chi-square test, goodness of fit test, and simple
regression. Hands-on activities accompanying the theories
will be provided.
MAT 227 MultiVariable Calculus 4 cr
- Examines the calculus of functions of several
variables. Topics include partial derivatives, multiple
integrals, and the calculus of vector fields, including
Green's Theorem.
- Prerequisite: Grade of "C" or better in MAT
126
- FLC, Area V, Level 1
MAT 237 Differential Equations 3 cr
- Examines the basic techniques for solving ordinary
differential equations, which arise in such areas as
physics, chemistry, and biology.
- Prerequisite: MAT 126
-
- MAT 241 Intermediate Level Programming 3
cr
- Builds on the material from MAT 141, Introduction to
Programming. Students will build larger programs
with an emphasis on problem solving and algorithm
development. Abstract data structures such as arrays,
linked lists, queues, graphs, and trees and the design
analysis of efficient algorithms will be studied.
Applications from business and science will be
covered.
- Prerequisite: MAT 141
MAT 240 Advanced Programming 3 cr
- Examines topics in computer science requiring
programming expertise. Topics include recursion, dynamic
data structures, sorting, searching, and elements of
numerical analysis and computer graphics. Programming
done in the Pascal language.
- Prerequisite: MAT 241
MAT 245 Introduction to Abstract Mathematics 3
cr
- Provides a transition from the skills courses in
mathematics to the more abstract courses for the
mathematics major. Students will be exposed to the
research tools in mathematics. Proof as a concept and a
process will be examined in light of previous content in
calculus, geometry, and algebra.
- Prerequisite: MAT 126
MAT 247 Linear Algebra 4 cr
- Develops methods of solutions of systems of linear
equations, the theory of matrices, determinants, vector
spaces, linear transformations, and eigenvalues.
- Pre or co-requisite: MAT 126
MAT 290 Discrete Mathematics and Mathematical Modeling
3 cr
- Introduces discrete mathematics with applications to
mathematical modeling. Possible topics include Markov
chains, game theory, group decision-making, measurement,
and utility.
- Prerequisite: MAT 126
MAT 300 Statistical Methods 3 cr
- Reviews two types of statistical study: observational
and experimental study. Using either MINTAB or SPSS,
exploring data, assessing random sampling, and
interpreting computer output will be disussed. Topics
also include estimation, hypothesis testing, correlation
analysis, and experimental design. Students will work on
a semester project that combines all materials that they
learn through this course.
- Prerequisite: MAT 210
MAT 301 Abstract Algebra I 3 cr
- Introduces the basic concepts of abstract algebra,
including groups, subgroups, factor groups, homomorphism
and isomorphism, and rings and fields.
- Prerequisites: MAT 245 and MAT 247
MAT 303 Number Theory 3 cr
- Examines topics in introductory number theory,
including basic concepts of integers and congruencies,
Fermat's and Wilson's theorems, Diophantine equations,
and quadratic reciprocity.
- Pre or co-requisite: MAT 247
MAT 305 Computer Applications to Statistics 3
cr
- Students will learn how to use statistical software
such as MINITAB, SPSS, and SAS. Topics include basic
statistical analysis and understanding programming
languages using MINITAB, SPSS and SAS.
- Prerequisite: MAT 210
MAT 335 Mathematical Probability and Statistics 3
cr
- Provides a calculusbased analysis of probability and
statistics. Topics include probability, random variables,
probability distributions, sampling distributions, and
the central limit theorem.
- Prerequisite: MAT 126
-
- MAT 340 History of Mathematics 3 cr
- Surveys the development of mathematics from ancient
civilizations to modern times. The student sees that
mathematics is a human endeavor developed through
experimentation and the need to solve real world
problems.
- Prerequisite: MAT 125 or higherlevel math
course
- FLC, Area V, Level 2
MAT 401 Special Topics in Statistics 3
cr
- Offers the opportunity to study selected topics
in-depth. Topics include sampling theory, regression
analysis, multivariate statistical methods, experimental
design, and nonparametric statistics. Students may repeat
this course with different topics.
- Prerequisite: MAT 300
MAT 421 Real Analysis I 3 cr
- Presents the basic concepts of analysis, including
sets and functions, the real numbers, the topology of
Euclidean spaces, compact and connected sets, continuity
and uniform continuity, convergence and uniform
convergence, and the Riemann integral.
- Prerequisite: MAT 245
MAT 424 Complex Variables 3 cr
- Examines the theory of functions of a complex
variable. The course includes the complex number system
and the theory of differentiation and integration of
complex functions through the residue theorem.
- Prerequisite: MAT 245; recommended: MAT
421
MAT 450 Geometry 3 cr
- Examines topics to be selected from Euclidean
geometry, nonEuclidean geometry, and projective
geometry.
- Prerequisite: MAT 247
MAT 490 Mathematics Senior Seminar 3 cr
- Provides a capstone experience required of all senior
mathematics majors. Each student completes a
comprehensive project that involves researching an area
of mathematics not studied in formal course work. Through
the project the student must demonstrate the ability to
read and write mathematics, and as a culmination of the
experience, students present their work in a formal
lecture.
- Prerequisite: Senior status
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