
Program
Title: Mathematics B.A.
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General Information |
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Campus: |
University
of Minnesota, Morris |
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Career: |
Undergraduate |
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Program
type: |
Baccalaureate |
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Program
title (short): |
Mathematics
B.A. |
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Program
title (long): |
Mathematics
B.A. |
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Program
short description: |
Math |
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Additional
terms: |
á This
program is 8 semesters (4 years) long. á This
program does not need any summer terms. |
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Stakeholder
college(s): |
á
UMM-Science & Math, Div of |
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Degree-granting
college(s): |
á
UMM-Science & Math, Div of |
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Approver
college(s): |
á
UMM-Science & Math, Div of |
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Administrative
college(s): |
á
UMM-Science & Math, Div of |
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Budgetary
college(s): |
á
'UMM-Science & Math, Div of'=100 |
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Acad
plan code(s): |
á
'UMM-Science & Math, Div of'=052020227 |
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Department(s): |
á
Division of Science & Mathematics - Adm |
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First
term admitting students: |
Fall
1960 |
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Effective
date: |
Fall
2005 |
Fall
2007 |
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Degree: |
Bachelor
of Arts |
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Catalog
description: |
Objectives—The
mission of the discipline is to advance knowledge of mathematics: by teaching
mathematics and its processes, by research in mathematics and mathematical
pedagogy, and by dissemination of this knowledge to students and the
community we serve. The
mathematics curriculum is designed to help students develop competence in
mathematical techniques and methods. It aims to sharpen the students'
mathematical intuition and abstract reasoning as well as their reasoning from
numerical data. It also encourages and stimulates the type of independent
thinking required for research beyond the confines of the textbook. The
mathematics program aims to provide students with the basic knowledge and
skills to make mathematical contributions to modern society, whether in the
form of pure mathematics or of mathematics applied in other disciplines. The
program seeks to enable students to see and communicate how the development
of mathematics has been part of the development of several civilizations and
is intimately interwoven with the cultural and scientific development of
these societies. The curriculum prepares students to enter graduate school,
pursue careers in applied mathematics, or teach mathematics. |
Objectives—The
mission of the discipline is to advance knowledge of mathematics: by teaching
mathematics and its processes, by research in mathematics and mathematical
pedagogy, and by dissemination of this knowledge to students and the
community we serve. Historically,
the study of mathematics has been central to a liberal arts education.
The mathematics curriculum serves as an integral part of students' active
pursuit of a liberal arts education. The mathematics program serves
students who major or minor in mathematics, seek secondary mathematics
teaching licensure, major or minor in programs that require a mathematical
background, or wish to fulfill components of a general education. The
mathematics curriculum is designed to help students develop competence in
mathematical techniques and methods; to sharpen students' mathematical
intuition and abstract reasoning as well as their reasoning from numerical
data; to encourage and stimulate the type of independent thinking required
for research beyond the confines of the textbook; and to provide students
with the basic knowledge and skills to make mathematical contributions to
modern society. The program seeks to enable students to see and
communicate how the development of mathematics has been part of the
development of several civilizations and is intimately interwoven with the
cultural and scientific development of these societies. The curriculum
prepares students to enter graduate school, pursue careers in applied
mathematics, or teach mathematics. |
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RIASEC
codes: |
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Field
of study: |
Math,
Engineering, and Science |
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Program
contact(s): |
U of M internet ID: fordcj
Name: Carol Ford
E-mail address: fordcj@umn.edu
Telephone number: 320/589-6300
Campus mailing address:
UMM Div of Science and
Math, RM 2550 Sci, M242A, 600 E 4th St, Morris, MN 56267 |
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Program Requirements |
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Program
length in credits: |
120
credits |
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change> |
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Major
length in credits: |
48
credits |
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change> |
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Number
of semesters of a second language that are required: |
2 |
0 |
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Specific
language(s) required: |
Any
Second Language |
No
Second Language |
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Other
requirements: |
Students
are encouraged to focus their choices to specific electives if they are
intending to pursue (1) teaching licensure in mathematics; (2) graduate work
in pure mathematics; or (3) graduate work in applied mathematics. |
The
GPA in these courses must be at least 2.00. Courses may not be taken S-N
unless offered S-N only. Up to 5 credits of coursework with a grade of
D or D+ may be used to meet the major requirements if offset by an equivalent
number of credits of B- or above in courses at or above the 2XXX level. Exceptions
to requirements may be granted on an individual basis, after consulting with
the math faculty. Majors
should begin with Math 1011--Pre-Calculus or Math 1101--Calculus I.
Students with questions about placement are encouraged to discuss them with
members of the mathematics faculty. Recommended
electives for students planning to pursue graduate work in pure mathematics
are: Math
4201--Complex Analysis Math
4211--Real Analysis Math
4221--Topology Math
4231--Abstract Algebra II Math
4241--Number Theory Math 4252--Differential
Geometry Math
4253--Combinatorics Recommended
electives for students planning to work or pursue graduate work in applied
mathematics or related fields are: Math
2401--Differential Equations Math
3401--Operations Research Math
3411--Discrete and Combinatorial Mathematics Math
4401--Numerical Methods with Applications in Mathematical Modeling Math
4452--Mathematical Modeling |
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Required
course(s): |
Major
Core Curriculum MATH 1101 - Calculus I, M/SR (5.0 cr)
MATH 1102 - Calculus II, M/SR (5.0 cr)
MATH 2101 - Calculus III, M/SR (4.0 cr)
MATH 2111 - Linear Algebra, M/SR (4.0 cr)
MATH 2202 - Mathematical Perspectives, M/SR
(4.0 cr)
MATH 3221 - Analysis, M/SR (4.0 cr)
MATH 3231 - Abstract Algebra I, M/SR (4.0
cr)
MATH 4901 - Senior Seminar, M/SR (1.0 cr)
STAT 2611 - Mathematical Statistics, M/SR
(4.0 cr)
MATH 2401 - Differential Equations, M/SR
(4.0 cr)
or MATH 3401 - Operations Research, M/SR (4.0
cr)
or MATH 3411 - Discrete and Combinatorial
Mathematics, M/SR (4.0 cr)
or MATH 4401 - Numerical Methods with
Applications in Mathematical Modeling, M/SR (4.0 cr)
or MATH 4452 - Mathematical Modeling, M/SR (4.0
cr) |
Required
Courses MATH 1101 - Calculus I, M/SR (5.0 cr)
MATH 1102 - Calculus II, M/SR (5.0 cr)
MATH 2101 - Calculus III, M/SR (4.0 cr)
MATH 2111 - Linear Algebra, M/SR (4.0 cr)
MATH 2202 - Mathematical Perspectives, M/SR
(4.0 cr)
MATH 3221 - Analysis, M/SR (4.0 cr)
MATH 3231 - Abstract Algebra I, M/SR (4.0
cr)
MATH 4901 - Senior Seminar, M/SR (1.0 cr)
STAT 2611 - Mathematical Statistics, M/SR
(4.0 cr)
Take 1 or
more course(s) from the following:
á MATH 2401 - Differential Equations, M/SR
(4.0 cr)
á MATH 3401 - Operations Research, M/SR (4.0
cr)
á MATH 3411 - Discrete and Combinatorial
Mathematics, M/SR (4.0 cr)
á MATH 4401 - Numerical Methods with
Applications in Mathematical Modeling, M/SR (4.0 cr)
á MATH 4452 - Mathematical Modeling, M/SR (4.0
cr)
Take 5 or
more credit(s) from the following:
á MATH 2xxx
á MATH 3xxx
á MATH 4xxx |
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Mathematical
Applications BIOL 4311 - Conservation Genetics, SCI-L
(4.0 cr)
or CHEM 1101 - General Chemistry I, SCI-L (4.0
cr)
or CHEM 1102 - General Chemistry II, SCI-L (4.0
cr)
or CHEM 3501 - Physical Chemistry I, SCI (4.0
cr)
or ECON 3201 - Microeconomic Theory, SS (4.0
cr)
or ECON 3202 - Macroeconomic Theory, SS (4.0
cr)
or ECON 3501 - Introduction to Econometrics,
M/SR (4.0 cr)
or ECON 4111 - Mathematical Economics I, M/SR
(2.0 cr)
or ECON 4112 - Mathematical Economics II, M/SR
(2.0 cr)
or GEOL 3401 - Geophysics, SCI (4.0 cr)
or GEOL 3501 - Hydrology, SCI (4.0 cr)
or MGMT 3101 - Financial Management, SS (4.0
cr)
or MGMT 3201 - Marketing Principles and
Strategy, SS (4.0 cr)
or MGMT 3301 - Management Science, M/SR (4.0
cr)
or MATH 3501 - Applied Deterministic Modeling
for Management Science, M/SR (2.0 cr)
or MATH 3502 - Applied Probabilistic Modeling
for Management Science, M/SR (2.0 cr)
or NSCI 3201 - Relativity and Cosmology, SCI
(4.0 cr)
or PHYS 1101 - General Physics I, SCI-L (5.0
cr)
or PHYS 1102 - General Physics II, SCI-L (5.0
cr)
or PHYS 2101 - Modern Physics, SCI-L (5.0 cr)
or PHYS 3101 - Classical Mechanics, SCI (4.0
cr)
or PHYS 3201 - Mathematical Methods in Physics,
SCI (4.0 cr)
or PHYS 3301 - Optics, SCI-L (4.0 cr)
or PHYS 4101 - Electromagnetism, SCI (4.0 cr)
or PHYS 4201 - Quantum Mechanics, SCI (4.0 cr)
or STAT 2601 - Statistical Methods, M/SR (4.0
cr)
or CSCI 1301 - Problem Solving and Algorithm
Development I, M/SR (4.0 cr)
or CSCI 1302 - Problem Solving and Algorithm
Development II, M/SR (4.0 cr)
or CSCI 2101 - Data Structures, M/SR (5.0 cr)
or CSCI 3401 - Models of Computing Systems,
M/SR (5.0 cr)
or CSCI 3501 - Algorithms and Computability,
M/SR (5.0 cr)
or CSCI 3601 - Software Design and Development,
M/SR (5.0 cr)
or PHIL 2101 - Introduction to Symbolic Logic,
M/SR (4.0 cr)
or PSY 3111 - Sensation and Perception, SS (4.0
cr)
or PSY 3112 - Cognition, SS (4.0 cr)
or PSY 3601 - Quantitative Methods in Psychology,
M/SR (4.0 cr)
or STAT 3601 - Data Analysis, M/SR (4.0 cr)
or STAT 3611 - Multivariate Statistical
Analysis, M/SR (4.0 cr)
or STAT 4601 - Biostatistics, M/SR (4.0 cr) |
Mathematical
Applications Course Take
1 or more course(s) from the following:
á BIOL 4311 - Conservation Genetics, SCI-L
(4.0 cr)
á CHEM 1101 - General Chemistry I, SCI-L (4.0
cr)
á CHEM 1102 - General Chemistry II, SCI-L (4.0
cr)
á CHEM 3501 - Physical Chemistry I, SCI (4.0
cr)
á ECON 3201 - Microeconomic Theory, SS (4.0
cr)
á ECON 3202 - Macroeconomic Theory, SS (4.0
cr)
á ECON 3501 - Introduction to Econometrics,
M/SR (4.0 cr)
á ECON 4111 - Mathematical Economics I, M/SR
(2.0 cr)
á ECON 4112 - Mathematical Economics II, M/SR
(2.0 cr)
á GEOL 3401 - Geophysics, SCI (4.0 cr)
á GEOL 3501 - Hydrology, SCI (4.0 cr)
á MGMT 3101 - Financial Management, SS (4.0
cr)
á MGMT 3201 - Marketing Principles and
Strategy, SS (4.0 cr)
á MGMT 3301 - Management Science, M/SR (4.0
cr)
á MATH 3501 - Applied Deterministic Modeling
for Management Science, M/SR (2.0 cr)
á MATH 3502 - Applied Probabilistic Modeling
for Management Science, M/SR (2.0 cr)
á NSCI 3201 - Relativity and Cosmology, SCI
(4.0 cr)
á PHYS 1101 - General Physics I, SCI-L (5.0
cr)
á PHYS 1102 - General Physics II, SCI-L (5.0
cr)
á PHYS 2101 - Modern Physics, SCI-L (5.0 cr)
á PHYS 3101 - Classical Mechanics, SCI (4.0
cr)
á PHYS 3201 - Mathematical Methods in Physics,
SCI (4.0 cr)
á PHYS 3301 - Optics, SCI-L (4.0 cr)
á PHYS 4101 - Electromagnetism, SCI (4.0 cr)
á PHYS 4201 - Quantum Mechanics, SCI (4.0 cr)
á STAT 2601 - Statistical Methods, M/SR (4.0
cr)
á CSCI 1301 - Problem Solving and Algorithm
Development I, M/SR (4.0 cr)
á CSCI 1302 - Problem Solving and Algorithm
Development II, M/SR (4.0 cr)
á CSCI 2101 - Data Structures, M/SR (5.0 cr)
á CSCI 3401 - Models of Computing Systems,
M/SR (5.0 cr)
á CSCI 3501 - Algorithms and Computability,
M/SR (5.0 cr)
á CSCI 3601 - Software Design and Development,
M/SR (5.0 cr)
á PHIL 2101 - Introduction to Symbolic Logic,
M/SR (4.0 cr)
á PSY 3111 - Sensation and Perception, SS (4.0
cr)
á PSY 3112 - Cognition, SS (4.0 cr)
á PSY 3601 - Quantitative Methods in
Psychology, M/SR (4.0 cr)
á STAT 3601 - Data Analysis, M/SR (4.0 cr)
á STAT 3611 - Multivariate Statistical
Analysis, M/SR (4.0 cr)
á STAT 4601 - Biostatistics, M/SR (4.0 cr) |
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Electives Take
5 or more credit(s) from the following: Students
may wish to focus electives if they are planning to do graduate work in pure
mathematics or applied mathematics. Students wishing to obtain licensure in
5-12 Mathematics education must choose the electvies listed under the
Required for Teaching Licesure heading.
á MATH 2211 - History of Mathematics (4.0 cr)
á MATH 3211 - Geometry, M/SR (4.0 cr)
á MATH 3221 - Analysis, M/SR (4.0 cr)
á MATH 2501 - Probability and Stochastic
Processes, M/SR (4.0 cr)
or STAT 2501 - Probability and Stochastic
Processes, M/SR (4.0 cr)
á MATH 3501 - Applied Deterministic Modeling
for Management Science, M/SR (2.0 cr)
or MGMT 3501 - Applied Deterministic Modeling
for Management Science, M/SR (2.0 cr)
á MATH 3502 - Applied Probabilistic Modeling for
Management Science, M/SR (2.0 cr)
or MGMT 3502 - Applied Probabilistic Modeling
for Management Science, M/SR (2.0 cr)
á Recommended for pure mathematics Take
0 or more credit(s) from the following:
á MATH 4201 - Complex Analysis, M/SR (2.0 cr)
á MATH 4211 - Real Analysis, M/SR (2.0 cr)
á MATH 4221 - Topology, M/SR (2.0 cr)
á MATH 4231 - Abstract Algebra II, M/SR (2.0
cr)
á MATH 4241 - Number Theory, M/SR (2.0 cr)
á MATH 4252 - Differential Geometry, M/SR (2.0
cr)
á MATH 4253 - Combinatorics, M/SR (2.0 cr)
á Recommended for applied mathematics Take
0 or more credit(s) from the following:
á MATH 2401 - Differential Equations, M/SR
(4.0 cr)
á MATH 3401 - Operations Research, M/SR (4.0
cr)
á MATH 3411 - Discrete and Combinatorial
Mathematics, M/SR (4.0 cr)
á MATH 4401 - Numerical Methods with
Applications in Mathematical Modeling, M/SR (4.0 cr)
á MATH 4452 - Mathematical Modeling, M/SR (4.0
cr)
á Required for Teaching Licensure Take
0 or more credit(s) from the following:
á MATH 3411 - Discrete and Combinatorial
Mathematics, M/SR (4.0 cr)
á MATH 3501 - Applied Deterministic Modeling
for Management Science, M/SR (2.0 cr)
or MATH 3502 - Applied Probabilistic Modeling
for Management Science, M/SR (2.0 cr) |
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