Mathematics
Majors:
- Bachelor of Science, Mathematics
- Bachelor of Science, Applied Mathematical Economics
- Bachelor of Science, Statistics
- Bachelor of Arts, Mathematics
Minors:
The B.S. program in mathematics provides a foundation for students who wish to pursue graduate studies in any area of the mathematical sciences, to enter the actuarial profession, or to enter careers where mathematics is used in an engineering or science setting. The elective courses can be used to complement a chosen career path. Those planning on pursuing an actuarial career should consider completing the actuarial science minor described below.
All students pursuing a bachelor of science in mathematics are required to complete a minor in another subject.
The B.S. program in applied mathematical economics provides a foundation in economics, mathematics and statistics needed for graduate study in economics or applied statistics, or for research and technical careers in business or government service.
The B.A. program in mathematics provides for a breadth of mathematical study within the context of a liberal arts degree. It may be chosen as a preparation for a professional career in business, education, law, or social science. It affords students a significant distribution of courses in the humanities and social sciences so that they can develop a concentration in a field other than mathematics. A student's career goals can suggest desirable upper level mathematics electives. Prospective secondary mathematics teachers should consider pursuing the B.A. in mathematics as a second major.
A minor in mathematics consists of 12 semester hours (300-400 level).
A minor in actuarial science is offered through the Department of Mathematics. This consists of courses in calculus, statistics, theory of interest, economics, and finance, and is designed to prepare the student to take the actuarial examinations in probability and financial mathematics.
The basic courses are offered every term:
MTH 168 | Analytic Geometry & Calculus I | 4 |
MTH 169 | Analytic Geometry & Calculus II | 4 |
MTH 218 | Analytic Geometry & Calculus III | 4 |
MTH 219 | Applied Differential Equations | 3 |
MTH 308 | Foundations & Discrete Mathematics | 3 |
MTH 310 | Linear Algebra & Matrices | 3 |
Most majors should take MTH 218 and MTH 308 in the same term.
The required core courses are offered once a year:
MTH 330 | Intermediate Analysis | 3 |
MTH 361 | Introduction to Abstract Algebra | 3 |
MTH 411 | Probability & Statistics I | 3 |
MTH 412 | Probability & Statistics II | 3 |
MTH 430 | Real Analysis | 3 |
However, most of the other upper-level electives for the major are offered only once every two years; thus careful planning for a student's upper-level electives should be done in consultation with the advisor.
A minor in mathematics consists of 12 semester hours (300-400 level).
A minor in actuarial science is offered through the Department of Mathematics. This consists of courses in calculus, statistics, theory of interest, economics, and finance, and is designed to prepare the student to take the actuarial examinations in probability and financial mathematics.
FACULTY LISTING
Bachelor of Science, Mathematics (MTH) minimum 120 hours
The Common Academic Program (CAP) is an innovative curriculum that is the foundation of a University of Dayton education. It is a learning experience that is shared in common among all undergraduate students, regardless of their major. Some CAP requirements must be fulfilled by courses taken at UD (e.g., Capstone and Diversity and Social Justice). Some major requirements must also be fulfilled by courses taken at UD. Students should consult with their advisor regarding applicability of transfer credit to fulfill CAP and major program requirements.
Common Academic Program (CAP) ^{1} | ||
First-Year Humanities Commons ^{2} | 12 cr. hrs. | |
Introduction to Global Historical Studies | ||
Introduction to Religious and Theological Studies | ||
Introduction to Philosophy | ||
Writing Seminar I ^{3} | ||
Second-Year Writing Seminar ^{4} | 0-3 cr. hrs. | |
Writing Seminar II | ||
Oral Communication | 3 cr. hrs. | |
Principles of Oral Communication | ||
Mathematics | 3 cr. hrs. | |
Social Science | 3 cr. hrs. | |
Arts | 3 cr. hrs. | |
Natural Sciences ^{5} | 7 cr. hrs. | |
Crossing Boundaries | up to 12 cr. hrs. | |
Faith Traditions | ||
Practical Ethical Action | ||
Inquiry | ||
Integrative | ||
Advanced Study | ||
Philosophy and/or Religious Studies (6 cr. hrs.) | ||
Historical Studies (3 cr. hrs.) ^{6} | ||
Diversity and Social Justice ^{7} | 3 cr. hrs. | |
Major Capstone ^{8} | 0-6 cr. hrs. |
- ^{ 1 }
The credit hours listed reflect what is needed to complete each CAP component. However, they should not be viewed as a cumulative addition to a student's degree requirements because many CAP courses are designed to satisfy more than one CAP component (e.g., Crossing Boundaries and Advanced Studies) and may also satisfy requirements in the student's major.
- ^{ 2 }
May be completed with ASI 110 and ASI 120 through the Core Program.
- ^{ 3 }
- ^{ 4 }
- ^{ 5 }
Must include two different disciplines and at least one accompanying lab.
- ^{ 6 }
May be completed with ASI 110 and ASI 120 through the Core Program.
- ^{ 7 }
May not double count with First-Year Humanities Commons, Second-Year Writing, Oral Communication, Social Science, Arts, or Natural Sciences CAP components, but may double count with courses taken to satisfy other CAP components and/or courses taken in the student's major.
- ^{ 8 }
The course or experience is designed by faculty in each major; it may, or may not, be assigned credit hours.
Science Breadth Requirements | ||
Computer Science (CPS 150 applies to CAP Natural Sciences) | 3-4 | |
Computer Programming for Engineering & Science | ||
or CPS 150 | Algorithms & Programming I | |
Select one natural sciences group from: (Applies to CAP Natural Science) | 8 | |
Concepts of Biology I: Cellular & Molecular Biology and Concepts of Biology Laboratory I: Cellular & Molecular Biology and Concepts of Biology II: Evolution & Ecology and Concepts of Biology Laboratory II: Evolution & Ecology | ||
General Chemistry and General Chemistry Laboratory and General Chemistry and General Chemistry Laboratory | ||
Physical Geology and Physical Geology Laboratory and Geological History of the Earth and Geological History of the Earth Laboratory | ||
General Physics I - Mechanics and General Physics II - Electricity & Magnetism and General Physics Laboratory I and General Physics Laboratory II | ||
Select two courses acceptable for science majors | 6 |
Major Requirements | 43 | |
MTH 168 | Analytic Geometry & Calculus I (Satisfies CAP Mathematics) | 4 |
MTH 169 | Analytic Geometry & Calculus II | 4 |
MTH 218 | Analytic Geometry & Calculus III | 4 |
MTH 219 | Applied Differential Equations | 3 |
MTH 308 | Foundations & Discrete Mathematics | 3 |
MTH 310 | Linear Algebra & Matrices | 3 |
MTH 330 | Intermediate Analysis | 3 |
MTH 361 | Introduction to Abstract Algebra | 3 |
MTH 430 | Real Analysis | 3 |
MTH 480 | Mathematics Capstone (Satisfies CAP Major Capstone) | 1 |
Select four MTH courses (300/400 level) ^{1} | 12 | |
Academic minor in any subject. ^{2} |
Breadth | ||
ASI 150 | Introduction to the University Experience | 1 |
Social and Behavioral Sciences (Includes CAP Social Science) | 6 | |
Total Hours to total at least | 120 |
- ^{ 1 }
Departmental approval required.
- ^{ 2 }
All students pursuing a bachelor of science in mathematics are required to complete a minor in another subject. See list of academic minors.
Bachelor of Science, Applied Mathematical Economics (MTE) minimum 120 hours
The Common Academic Program (CAP) is an innovative curriculum that is the foundation of a University of Dayton education. It is a learning experience that is shared in common among all undergraduate students, regardless of their major. Some CAP requirements must be fulfilled by courses taken at UD (e.g., Capstone and Diversity and Social Justice). Some major requirements must also be fulfilled by courses taken at UD. Students should consult with their advisor regarding applicability of transfer credit to fulfill CAP and major program requirements.
Common Academic Program (CAP) ^{1} | ||
First-Year Humanities Commons ^{2} | 12 cr. hrs. | |
Introduction to Global Historical Studies | ||
Introduction to Religious and Theological Studies | ||
Introduction to Philosophy | ||
Writing Seminar I ^{3} | ||
Second-Year Writing Seminar ^{4} | 0-3 cr. hrs. | |
Writing Seminar II | ||
Oral Communication | 3 cr. hrs. | |
Principles of Oral Communication | ||
Mathematics | 3 cr. hrs. | |
Social Science | 3 cr. hrs. | |
Arts | 3 cr. hrs. | |
Natural Sciences ^{5} | 7 cr. hrs. | |
Crossing Boundaries | up to 12 cr. hrs. | |
Faith Traditions | ||
Practical Ethical Action | ||
Inquiry | ||
Integrative | ||
Advanced Study | ||
Philosophy and/or Religious Studies (6 cr. hrs.) | ||
Historical Studies (3 cr. hrs.) ^{6} | ||
Diversity and Social Justice ^{7} | 3 cr. hrs. | |
Major Capstone ^{8} | 0-6 cr. hrs. |
- ^{ 1 }
The credit hours listed reflect what is needed to complete each CAP component. However, they should not be viewed as a cumulative addition to a student's degree requirements because many CAP courses are designed to satisfy more than one CAP component (e.g., Crossing Boundaries and Advanced Studies) and may also satisfy requirements in the student's major.
- ^{ 2 }
May be completed with ASI 110 and ASI 120 through the Core Program.
- ^{ 3 }
- ^{ 4 }
- ^{ 5 }
Must include two different disciplines and at least one accompanying lab.
- ^{ 6 }
May be completed with ASI 110 and ASI 120 through the Core Program.
- ^{ 7 }
May not double count with First-Year Humanities Commons, Second-Year Writing, Oral Communication, Social Science, Arts, or Natural Sciences CAP components, but may double count with courses taken to satisfy other CAP components and/or courses taken in the student's major.
- ^{ 8 }
The course or experience is designed by faculty in each major; it may, or may not, be assigned credit hours.
Science Breadth Requirements | ||
Satisfies CAP Natural Science | ||
CPS 150 | Algorithms & Programming I | 4 |
CPS 151 | Algorithms & Programming II | 4 |
Select one natural sciences group from: | 8 | |
Concepts of Biology I: Cellular & Molecular Biology and Concepts of Biology Laboratory I: Cellular & Molecular Biology and Concepts of Biology II: Evolution & Ecology and Concepts of Biology Laboratory II: Evolution & Ecology | ||
General Chemistry and General Chemistry Laboratory and General Chemistry and General Chemistry Laboratory | ||
Physical Geology and Physical Geology Laboratory and Geological History of the Earth and Geological History of the Earth Laboratory | ||
General Physics I - Mechanics and General Physics II - Electricity & Magnetism and General Physics Laboratory I and General Physics Laboratory II |
Major Requirements | 46 | |
Mathematics | ||
MTH 168 | Analytic Geometry & Calculus I (Satisfies CAP Mathematics) | 4 |
MTH 169 | Analytic Geometry & Calculus II | 4 |
MTH 218 | Analytic Geometry & Calculus III | 4 |
MTH 308 | Foundations & Discrete Mathematics | 3 |
MTH 310 | Linear Algebra & Matrices | 3 |
MTH 330 | Intermediate Analysis | 3 |
MTH 411 | Probability & Statistics I | 3 |
MTH 412 | Probability & Statistics II | 3 |
MTH 480 | Mathematics Capstone (Satisfies CAP Major Capstone) | 1 |
Economics | ||
ECO 203 | Principles of Microeconomics (Satisfies CAP Crossing Boundaries: Inquiry) | 3 |
ECO 204 | Principles of Macroeconomics (Satisfies CAP Crossing Boundaries: Inquiry) | 3 |
ECO 346 | Intermediate Microeconomic Analysis | 3 |
ECO 347 | Intermediate Macroeconomic Analysis | 3 |
ECO 441 | Econometrics | 3 |
Select one ECO course (300/400 level) | 3 |
Breadth | ||
ASI 150 | Introduction to the University Experience | 1 |
Social and Behavioral Sciences (Includes CAP Social Science) | 6 | |
Total Hours to total at least | 120 |
Bachelor of Science, Statistics (STS) minimum 120 hours
The Bachelor of Science in Statistics is a dynamic program designed to provide students with a deep understanding of statistical theory and methodologies, combined with practical data analysis skills. This program offers a comprehensive education in statistical methods, data management, and computational tools, preparing graduates for successful careers in a data-informed world and for advanced academic pursuits in statistics or related fields.
Science Breadth Requirements | ||
Computer Science (CPS 150 applies to CAP Natural Sciences) | 3-4 | |
Computer Programming for Engineering & Science | ||
or CPS 150 | Algorithms & Programming I | |
Select one natural sciences group from: (Applies to CAP Natural Science) | 8 | |
Concepts of Biology I: Cellular & Molecular Biology and Concepts of Biology Laboratory I: Cellular & Molecular Biology and Genetics of Human Disease and Concepts of Biology Laboratory II: Evolution & Ecology | ||
General Chemistry and General Chemistry Laboratory and General Chemistry and General Chemistry Laboratory | ||
Physical Geology and Physical Geology Laboratory and Geological History of the Earth and Geological History of the Earth Laboratory | ||
General Physics I - Mechanics and General Physics II - Electricity & Magnetism and General Physics Laboratory I and General Physics Laboratory II | ||
Select two courses acceptable for science majors | 6 |
Major Requirements | 46 | |
MTH 168 | Analytic Geometry & Calculus I | 4 |
MTH 169 | Analytic Geometry & Calculus II | 4 |
MTH 209 | Data Manipulation and Management | 3 |
MTH 218 | Analytic Geometry & Calculus III | 4 |
MTH 308 | Foundations & Discrete Mathematics | 3 |
MTH 310 | Linear Algebra & Matrices | 3 |
or MTH 301 | Matrix Theory and Applications | |
MTH 369 | Regression Models for Data Analytics | 3 |
MTH 411 | Probability & Statistics I | 3 |
MTH 412 | Probability & Statistics II | 3 |
MTH 447 | Applied Design of Experiments | 3 |
MTH 480 | Mathematics Capstone | 1 |
Select four MTH courses from the following list | 12 | |
MTH 208 | Exploratory Data Analysis | 3 |
MTH 330 | Intermediate Analysis | 3 |
MTH 415 | Machine Learning for Data Analytics | 3 |
MTH 416 | Bayesian Statistics | 3 |
MTH 417 | Introduction to Computational Statistics | 3 |
Breadth | ||
ASI 150 | Introduction to the University Experience | 1 |
Social and Behavioral Sciences (Includes CAP Social Science) | 6 | |
Total Hours to total at least | 120 |
Bachelor of Arts, Mathematics (MTH) minimum 124 hours
The Common Academic Program (CAP) is an innovative curriculum that is the foundation of a University of Dayton education. It is a learning experience that is shared in common among all undergraduate students, regardless of their major. Some CAP requirements must be fulfilled by courses taken at UD (e.g., Capstone and Diversity and Social Justice). Some major requirements must also be fulfilled by courses taken at UD. Students should consult with their advisor regarding applicability of transfer credit to fulfill CAP and major program requirements.
Common Academic Program (CAP) ^{1} | ||
First-Year Humanities Commons ^{2} | 12 cr. hrs. | |
Introduction to Global Historical Studies | ||
Introduction to Religious and Theological Studies | ||
Introduction to Philosophy | ||
Writing Seminar I ^{3} | ||
Second-Year Writing Seminar ^{4} | 0-3 cr. hrs. | |
Writing Seminar II | ||
Oral Communication | 3 cr. hrs. | |
Principles of Oral Communication | ||
Mathematics | 3 cr. hrs. | |
Social Science | 3 cr. hrs. | |
Arts | 3 cr. hrs. | |
Natural Sciences ^{5} | 7 cr. hrs. | |
Crossing Boundaries | up to 12 cr. hrs. | |
Faith Traditions | ||
Practical Ethical Action | ||
Inquiry | ||
Integrative | ||
Advanced Study | ||
Philosophy and/or Religious Studies (6 cr. hrs.) | ||
Historical Studies (3 cr. hrs.) ^{6} | ||
Diversity and Social Justice ^{7} | 3 cr. hrs. | |
Major Capstone ^{8} | 0-6 cr. hrs. |
- ^{ 1 }
The credit hours listed reflect what is needed to complete each CAP component. However, they should not be viewed as a cumulative addition to a student's degree requirements because many CAP courses are designed to satisfy more than one CAP component (e.g., Crossing Boundaries and Advanced Studies) and may also satisfy requirements in the student's major.
- ^{ 2 }
May be completed with ASI 110 and ASI 120 through the Core Program.
- ^{ 3 }
- ^{ 4 }
- ^{ 5 }
Must include two different disciplines and at least one accompanying lab.
- ^{ 6 }
May be completed with ASI 110 and ASI 120 through the Core Program.
- ^{ 7 }
May not double count with First-Year Humanities Commons, Second-Year Writing, Oral Communication, Social Science, Arts, or Natural Sciences CAP components, but may double count with courses taken to satisfy other CAP components and/or courses taken in the student's major.
- ^{ 8 }
The course or experience is designed by faculty in each major; it may, or may not, be assigned credit hours.
Liberal Studies Curriculum | ||
Creative and Performing Arts (May include CAP Arts) | 3 | |
L2 Proficiency (Proficiency in a language other than English) | 0-11 | |
Literature (May include CAP Components) | 3 | |
Natural Sciences (Satisfies CAP Natural Science) | 11 | |
Social Sciences (Includes CAP Social Science) | 12 |
Major Requirements | 37 | |
MTH 168 | Analytic Geometry & Calculus I (Satisfies CAP Mathematics) | 4 |
MTH 169 | Analytic Geometry & Calculus II | 4 |
MTH 218 | Analytic Geometry & Calculus III | 4 |
MTH 308 | Foundations & Discrete Mathematics | 3 |
MTH 310 | Linear Algebra & Matrices | 3 |
MTH 330 | Intermediate Analysis | 3 |
MTH 361 | Introduction to Abstract Algebra | 3 |
MTH 411 | Probability & Statistics I | 3 |
MTH 480 | Mathematics Capstone (Satisfies CAP Major Capstone) | 1 |
Select three MTH courses (300/400 level) | 9 |
Breadth | ||
ASI 150 | Introduction to the University Experience | 1 |
Total Hours to total at least | 124 |
Minor in Actuarial Science (ACS)
The Minor in Actuarial Science is designed to prepare students to begin the pathway to becoming an Associate of the Society of Actuaries. The coursework in the minor is selected to satisfy the SOA coursework requirements and teach the material necessary to pass the first set of introductory actuarial exams.
The minor contains seven courses in mathematics for a total of 22 semester hours. All mathematics majors pursuing the minor will take five of these courses as part of their major requirements.
The minor also contains seven courses in accounting, economics, and finance, totaling 21 semester hours. Applied Mathematical Economics majors will take two of these courses as part of their major requirements, and Finance majors will take all of these courses as part of their major. A combined total of 43 semester hours are required for the minor.
Actuarial Science | ||
ACC 207 | Introduction to Financial Accounting | 3 |
ECO 203 | Principles of Microeconomics | 3 |
ECO 204 | Principles of Macroeconomics | 3 |
FIN 300 | Survey of Financial Management ^{1} | 3 |
FIN 360 | Investments | 3 |
FIN 470 | Fixed Income Securities | 3 |
FIN 480 | Options & Futures Markets | 3 |
MTH 168 | Analytic Geometry & Calculus I | 4 |
MTH 169 | Analytic Geometry & Calculus II | 4 |
MTH 218 | Analytic Geometry & Calculus III | 4 |
MTH 229 | Theory of Interest | 3 |
MTH 328 | Actuarial Probability Seminar | 1 |
MTH 411 | Probability & Statistics I | 3 |
MTH 412 | Probability & Statistics II | 3 |
Total Hours | 43 |
- ^{ 1 }
May substitute FIN 301.
Minor in Data Analytics (DTA)
The objective of this minor is to develop students’ statistical reasoning skills and practical knowledge of data analysis, data visualization, statistics, programming, and machine learning. The minor emphasizes tools and techniques widely used across industry and academic disciplines and aims to prepare students to work with different types of data and conduct and communicate quality data analyses in their subject areas of interest.
MTH 208 | Exploratory Data Analysis | 3 |
MTH 209 | Data Manipulation and Management | 3 |
MTH 369 | Regression Models for Data Analytics ^{MTH majors pursuing this minor cannot substitute MTH 369 as a mathematics elective for the MTH major.} | 3 |
MTH 415 | Machine Learning for Data Analytics ^{MTH majors pursuing this minor cannot substitute MTH 415 as a mathematics elective for the MTH major.} | 3 |
Minor in Mathematics (MTH)
Mathematics | ||
Select four MTH courses (300/400 level) | 12 | |
Total Hours | 12 |
- Bachelor of Science, Mathematics
- Bachelor of Science, Applied Mathematical Economics
- Bachelor of Arts, Mathematics
Bachelor of Science, Mathematics
First Year | |||
---|---|---|---|
Fall | Hours | Spring | Hours |
ASI 150 | 1 | MTH 169 | 4 |
MTH 168 (Satisfies CAP Mathematics) | 4 | REL 103, PHL 103, or HST 103 (CAP Humanities Commons) | 3 |
ENG 100 (CAP Humanities Commons) | 3 | REL 103, PHL 103, or HST 103 (CAP Humanities Commons) | 3 |
REL 103, PHL 103, or HST 103 (CAP Humanities Commons) | 3 | CAP Natural Science w/lab | 4 |
CAP Natural Science w/lab | 4 | Social Science - elective | 3 |
15 | 17 | ||
Second Year | |||
Fall | Hours | Spring | Hours |
MTH 218 | 4 | MTH 219 | 3 |
MTH 308 | 3 | Natural Science | 3 |
ENG 200 (CAP Writing Seminar) | 3 | MTH 310 | 3 |
CMM 100 (CAP Communication) | 3 | SSC 200 (CAP Social Science) | 3 |
Natural Science | 3 | CAP Arts | 3 |
16 | 15 | ||
Third Year | |||
Fall | Hours | Spring | Hours |
MTH 330 | 3 | MTH 361 | 3 |
MTH elective | 3 | MTH 430 | 3 |
CPS 132 or 150 | 3-4 | CAP Inquiry | 3 |
CAP Adv. Philosophy/Religious Studies (Practical Ethical Action/Faith Traditions) | 3 | CAP Integrative | 3 |
Minor elective | 3 | Minor elective | 3 |
15-16 | 15 | ||
Fourth Year | |||
Fall | Hours | Spring | Hours |
MTH elective | 3 | MTH 480 (Satisfies CAP Major Capstone) | 1 |
MTH elective | 3 | MTH elective | 3 |
CAP Adv. Philosophy/Religious Studies (Practical Ethical Action/Faith Traditions) | 3 | CAP Advanced Historical Studies | 3 |
Minor elective | 3 | CAP Diversity and Social Justice | 3 |
Minor elective | 3 | Minor elective | 3 |
15 | 13 | ||
Total credit hours: 121-122 |
Bachelor of Science, Applied Mathematical Economics
First Year | |||
---|---|---|---|
Fall | Hours | Spring | Hours |
ASI 150 | 1 | MTH 169 | 4 |
MTH 168 (Satisfies CAP Mathematics) | 4 | ECO 204 | 3 |
ECO 203 | 3 | REL 103, PHL 103, or HST 103 (CAP Humanities Commons) | 3 |
ENG 100 (CAP Humanities Commons) | 3 | REL 103, PHL 103, or HST 103 (CAP Humanities Commons) | 3 |
CAP Natural Science w/lab | 4 | CAP Natural Science w/lab | 4 |
15 | 17 | ||
Second Year | |||
Fall | Hours | Spring | Hours |
MTH 218 | 4 | MTH 310 | 3 |
MTH 308 | 3 | CMM 100 (CAP Communication) | 3 |
ECO 346 | 3 | SSC 200 (CAP Social Science) | 3 |
ENG 200 (CAP Writing Seminar) | 3 | CAP Arts | 3 |
REL 103, PHL 103, or HST 103 (CAP Humanities Commons) | 3 | CAP Faith Traditions | 3 |
16 | 15 | ||
Third Year | |||
Fall | Hours | Spring | Hours |
MTH 330 or 411 | 3 | CPS 151 | 4 |
CPS 150 | 4 | MTH 412 (or ECO Elective) | 3 |
ECO 347 | 3 | CAP Integrative | 3 |
CAP Inquiry | 3 | CAP Practical Ethical Action | 3 |
CAP Advanced Philosophy/Religious Studies | 3 | General Elective | 3 |
16 | 16 | ||
Fourth Year | |||
Fall | Hours | Spring | Hours |
MTH 330 or 411 | 3 | MTH 480 (Satisfies CAP Major Capstone) | 1 |
ECO 441 | 3 | MTH 412 (or ECO elective) | 3 |
CAP Advanced Philosophy/Religious Studies | 3 | CAP Diversity and Social Justice | 3 |
CAP Advanced Historical Studies | 3 | General Elective (optional) | 3 |
General Elective | 1 | General Elective (optional) | 3 |
General Elective | 3 | ||
16 | 13 | ||
Total credit hours: 124 |
Bachelor of Arts, Mathematics
First Year | |||
---|---|---|---|
Fall | Hours | Spring | Hours |
ASI 150 | 1 | MTH 169 | 4 |
MTH 168 (Satisfies CAP Mathematics) | 4 | CAP Natural Science w/lab | 4 |
CAP Natural Science w/lab | 4 | REL 103, PHL 103, or HST 103 (CAP Humanities Commons) | 3 |
ENG 100 (CAP Humanities Commons) | 3 | REL 103, PHL 103, or HST 103 (CAP Humanities Commons) | 3 |
REL 103, PHL 103, or HST 103 (CAP Humanities Commons) | 3 | Social Science - intro level | 3 |
15 | 17 | ||
Second Year | |||
Fall | Hours | Spring | Hours |
MTH 218 | 4 | MTH 310 | 3 |
MTH 308 | 3 | SSC 200 (CAP Social Science) | 3 |
CMM 100 (CAP Communication) | 3 | CAP Arts / Creative and Performing | 3 |
ENG 200 (CAP Writing Seminar) | 3 | Literature | 3 |
Natural Science | 3 | Language 101 | 4 |
16 | 16 | ||
Third Year | |||
Fall | Hours | Spring | Hours |
MTH elective | 3 | MTH 361 | 3 |
MTH 330 or 411 | 3 | MTH elective | 3 |
Social Science - elective | 3 | CAP Inquiry | 3 |
CAP Faith Traditions | 3 | CAP Integrative | 3 |
Language 141 | 4 | Language 201 or contextual course | 3 |
16 | 15 | ||
Fourth Year | |||
Fall | Hours | Spring | Hours |
MTH 330 or 411 | 3 | MTH 480 (Satisfies CAP Major Capstone) | 1 |
Social Science - 300/400 level | 3 | MTH elective | 3 |
CAP Advanced Philosophy/Religious Studies | 3 | CAP Advanced Philosophy/Religious Studies | 3 |
CAP Advanced Historical Studies | 3 | CAP Diversity and Social Justice | 3 |
CAP Practical Ethical Action | 3 | General Elective | 4 |
15 | 14 | ||
Total credit hours: 124 |
Courses
MTH 102. Fundamentals of Math. 3 Hours
Review of foundational algebraic skills essential for success in precalculus. Topics include real numbers, exponents, absolute value, radicals, along with polynomial and rational expressions and equations.
MTH 114. Contemporary Mathematics. 3 Hours
Study of contemporary mathematical topics and their applications. Topics may include management science, statistics, social choice, size and shape, and computer mathematics.
Prerequisite(s): Two years of high school algebra.
MTH 116. Precalculus Math. 4 Hours
Review of topics from algebra and trigonometry including polynomials, functions and graphs, exponential and logarithmic functions, trigonometric functions and identities.
Prerequisite(s): Two years of high school algebra.
MTH 128. Finite Mathematics. 3 Hours
Topics from mathematics used in business including systems of equations, inequalities, matrix algebra, linear programming and logarithms; applications to compound interest, annuities and other finance problems.
Prerequisite(s): MTH 102 or sufficient college preparatory mathematics.
MTH 129. Calculus for Business. 3 Hours
Topics from differential and integral calculus used in business; applications to optimizing financial functions, marginal functions in economics, and consumer or producer surplus.
Prerequisite(s): MTH 128 or sufficient college preparatory mathematics.
MTH 148. Introductory Calculus I. 3 Hours
Introduction to the differential and integral calculus; differentiation and integration of algebraic and transcendental functions with applications to the life and social sciences.
Prerequisite(s): MTH 116 or equivalent.
MTH 149. Introductory Calculus II. 3 Hours
Continuation of MTH 148. Multivariable calculus, matrices, difference equations, probability, discrete and continuous random variables, and differential equations with applications to the life and social sciences.
Prerequisite(s): MTH 138 or MTH 148.
MTH 168. Analytic Geometry & Calculus I. 4 Hours
Introduction to the differential and integral calculus; differentiation and integration of algebraic and transcendental functions with applications to science and engineering.
Prerequisite(s): MTH 116 or equivalent.
MTH 169. Analytic Geometry & Calculus II. 4 Hours
Continuation of MTH 168. Conic sections, techniques of integration with applications to science and engineering, infinite series, indeterminate forms, Taylor's theorem.
Prerequisite(s): MTH 138 or MTH 168.
MTH 1PF. COLLEGE ALGEBRA. 0-12 Hours
MTH 1PS. TRIGONOMETRY. 0-12 Hours
MTH 204. Mathematical Concepts I. 3 Hours
First course of a two-semester sequence designed for pre-service teachers. Concepts necessary for an understanding of the structure of arithmetic and its algorithms, number patterns, problem solving, fractions, percent, and proportions.
Prerequisite(s): One year of high school algebra; one year of high school geometry.
MTH 205. Mathematical Concepts II. 3 Hours
Continuation of MTH 204- a two semester sequence designed for pre-service teachers. Topics include probability, representing and interpreting data, the metric system, elementary geometry, geometric patterns, coordinate geometry, algebra and geometry, and transformations.
Prerequisite(s): MTH 204.
MTH 207. Introduction to Statistics. 3 Hours
Introduction to the concepts of statistical thinking for students whose majors do not require calculus. Methods of presenting data, including graphical methods. Using data to make decisions and draw conclusions. Basic ideas of drawing a sample and interpreting the information that it contains.
Prerequisite(s): Two years of high school algebra.
MTH 208. Exploratory Data Analysis. 3 Hours
Introduction to graphical and modeling techniques for exploring data, with an emphasis on analyzing and summarizing the main characteristics of data sets, statistical thinking, data visualization, statistical interpretation, and communication of findings.
Prerequisites: One of the following courses MTH 148, MTH 168, MTH 207, DSC 210, PSY 216 or permission of the instructor.
MTH 209. Data Manipulation and Management. 3 Hours
The main objective of this course is to demonstrate knowledge of technical terms, methods, and tools for data manipulation, data management, statistical computing and data visualization.
Prerequisites: One of the following courses MTH 148, MTH 168, MTH 207, DSC 210, PSY 216 or permission of the instructor.
MTH 214. Mathematical Concepts for Middle School Teachers. 3 Hours
Concepts necessary for an understanding of the arithmetic taught in both elementary and middle grades. Includes a study of the structure of arithmetic and its algorithms; problem solving; reasoning and proof; proportional reasoning; use of computers and calculators to solve problems.
Prerequisite(s): Two years of high school algebra.
MTH 215. Algebra, Functions & Graphs. 3 Hours
Development of the algebra of various families of functions including polynomial, exponential, logarithmic, and trigonometric functions; factoring and roots; interpretation of graphs; use of calculators and data collection devices to solve problems.
Prerequisite(s): MTH 214.
MTH 216. Calculus Concepts & Applications. 3 Hours
Develop conceptual understanding of basic calculus concepts; introduction to the notion of limit; rates of change; slopes and area computations; use of calculators and data collection devices to make predictions, estimations, and solve problems. Prerequisite(s): MTH 215.
MTH 218. Analytic Geometry & Calculus III. 4 Hours
Continuation of MTH 169. Solid analytic geometry, vectors and vector functions, multivariable calculus, partial derivatives, multiple integrals.
Prerequisite(s): MTH 169.
MTH 219. Applied Differential Equations. 3 Hours
First order equations, linear equations with constant coefficients, systems of equations, the Laplace transform, numerical methods, applications.
Prerequisite(s): MTH 218.
MTH 229. Theory of Interest. 3 Hours
Rigorous, calculus-based treatment of the Theory of Interest. Topics covered include interest, compounding, discounting, annuities, sinking funds, amortization, bonds, yield rates, and applications of these ideas and processes to problems in finance.
Prerequisite(s): MTH 169.
MTH 266. Discrete & Finite Mathematics for Middle School Teachers. 3 Hours
Topics in finite and discrete mathematics; linear programming; applications in finance; graph theory; mathematics of social choice; logic; use of computers and calculators to model and solve problems.
Prerequisite(s): MTH 214.
MTH 270. Geometry Concepts & Applications. 3 Hours
Introduction to the geometry of two- and three-dimensional space; patterns in geometry; measurement systems; transformations and similarity; coordinate geometry; the algebra of geometry; trigonometry; use of dynamic computer software to explore geometric concepts.
Prerequisite(s): MTH 214.
MTH 290. Topics in Mathematics. 1-3 Hours
Exploration of varying topics under supervision of a faculty member. May be taken more than once.
Prerequisites: Permission of department chairperson.
MTH 295. Historical Roots of Elementary Mathematics. 3 Hours
Fundamental historical development of modern arithmetic, algebra, geometry, and number systems from early Egyptian, Babylonian, and Greek sources. Students may not receive credit for both this course and MTH 395.
Prerequisite(s): MTH 214.
MTH 301. Matrix Theory and Applications. 3 Hours
Investigation of systems of linear equations and matrices. Matrix operations, inverse matrix, partitioned matrices, matrix factorizations. Vector space and subspace of R^n. Null and Column spaces of matrices. Eigenvalues and eigenspaces of matrices. Orthogonal vectors, Least-Squares problems, Diagonaliztion, Quadratic forms, Singular value decompositions. Applications such as Markov chains, computer graphics, electric circuits, and image processing. Mathematics majors should take MTH 310 rather than MTH 301. Students cannot receive credit for both MTH 301 and MTH 310.
Prerequisite(s): MTH 218.
MTH 308. Foundations & Discrete Mathematics. 3 Hours
An introduction to proof using topics in foundational and discrete mathematics; propositional logic; number theory; sequences and recursion; set theory; relations; combinatorics; linear programming.
Prerequisite(s): MTH 169.
MTH 310. Linear Algebra & Matrices. 3 Hours
Fundamental concepts of vector spaces, determinants, linear transformations, matrices, inner product spaces, and eigen-vectors. Students cannot receive credit for both MTH 301 and MTH 310.
Prerequisites: MTH 218, MTH 308.
MTH 328. Actuarial Probability Seminar. 1 Hour
Problem solving seminar to develop and improve skills in applied probability. This seminar will focus on actuarial applications of probability theory.
Prerequisite(s): MTH 411.
MTH 329. Actuarial Finance Seminar. 1 Hour
Problem solving seminar to develop and improve skills in applied mathematical finance. This seminar will focus on integrating the mathematical presentation of the Theory of Interest to the field of finance.
Prerequisite(s): FIN 470; MTH 229.
MTH 330. Intermediate Analysis. 3 Hours
Theoretical development of the calculus of a real-valued function of a real variable. Topics include the algebraic and topological properties of the real line, limits of sequences and functions, continuity, differentiability, and integration. Prerequisite(s): MTH 310.
MTH 342. Set Theory. 3 Hours
Elementary set theory including relations, functions, indexed families, denumerable and nondenumerable sets, cardinal and ordinal arithmetic, Zorn's Lemma, the well-ordering principle and transfinite induction.
Prerequisite(s): MTH 218, MTH 308.
MTH 361. Introduction to Abstract Algebra. 3 Hours
Fundamental concepts of groups, rings, integral domains and fields.
Prerequisite(s): MTH 218, MTH 308.
MTH 367. Statistical Methods I. 3 Hours
Probability distributions including binomial, hypergeometric, Poisson, and normal. Estimation of population mean and standard deviation: Confidence intervals and tests of hypotheses using t-, Chi-square, and F-statistics. Mathematics majors enroll in MTH 411 instead of MTH 367.
Prerequisite(s): MTH 149 or MTH 169.
MTH 368. Statistical Methods II. 3 Hours
Distribution-free methods including rank tests, sign tests, and Kolmogorov-Smirnov test. Method of least squares, correlation, linear regression, analysis of variance. Design of experiments and computer applications. Mathematics majors enroll in MTH 412 instead of 368.
Prerequisite(s): MTH 367.
MTH 369. Regression Models for Data Analytics. 3 Hours
Introduction to regression models including linear regression, logistic regression, poisson regression, and LASSO. Prediction and estimation using regression models. Regression model diagnostics. Model selection.
Prerequisites: One of the following courses MTH 209, MTH 367, MTH 411 or (Both DSC 211 and CPS 149) or (Both PSY 216 and CPS 149) or permission of the instructor.
MTH 370. Introduction to Higher Geometry. 3 Hours
Projective, affine, and hyperbolic geometries using synthetic and/or analytic techniques.
Prerequisite(s): MTH 218, MTH 308.
MTH 376. Number Theory. 3 Hours
Topics include Diophantine equations, Chinese Remainder theorem, Mobius inversion formula, quadratic residues and the Law of Quadratic Reciprocity, Gaussian integers, and integral quaternions.
Prerequisite(s): MTH 218, MTH 308.
MTH 395. Development of Mathematical Ideas. 3 Hours
The evolution of mathematical ideas and techniques from ancient times to the present with emphasis on the Greek era. Famous people and famous problems. Chronological outline of mathematics in each of its branches along with applications.
Prerequisite(s): MTH 218, MTH 308.
MTH 403. Boundary Value Problems. 3 Hours
Introduction to the Sturm-Liouville problem. Fourier trigonometric series, Fourier integrals, Bessel functions, and Legendre polynomials. The heat equation, wave equation, and Laplace's equation with applications. Solutions by the product method.
Prerequisite(s): MTH 219, MTH 310.
MTH 404. Complex Variables. 3 Hours
Functions of a complex variable, conformal mapping, integration in the complex plane. Laurent series and residue theory.
Prerequisite(s): MTH 219.
MTH 411. Probability & Statistics I. 3 Hours
Mathematical probability, random variables, Bayes' Theorem, Chebyshev's Inequality, Binomial, Poisson, and Normal probability laws, moment generating functions, limit theorems, descriptive statistics, large sample statistical inference. MTH 308 is recommended as preparation for this course.
Prerequisite(s): MTH 218.
MTH 412. Probability & Statistics II. 3 Hours
Multivariate distributions, transformations of random variables, sampling distribution theory, estimation of parameters including maximum likelihood, confidence intervals, the Neyman-Pearson lemma, tests of hypotheses, likelihood ratio tests.
Prerequisite(s): MTH 411.
MTH 415. Machine Learning for Data Analytics. 3 Hours
Introduction to commonly used machine learning algorithms and techniques for supervised and unsupervised learning including classifiers, ensemble methods, variable selection, etc. The focus will be on statistical learning algorithms.
Prerequisites: Both MTH 209 and MTH 369 or permission of the instructor.
MTH 416. Bayesian Statistics. 3 Hours
An introduction to Bayesian statistical methods, focusing on concepts, modeling, computational techniques, and applications. This course covers Bayesian theory, prior probability distribution, Bayesian estimation, and hierarchical models, with practical applications using statistical software.
Prerequisites: MTH 209 and MTH 412, or permission of the instructor.
MTH 417. Introduction to Computational Statistics. 3 Hours
Introduction to computational methods in statistics, focusing on the practical application of statistical programming, data manipulation, simulation techniques, and algorithmic approaches to solve statistical problems. Emphasis on hands-on experiences with real datasets.
Prerequisites: MTH 209, and one of the following courses: MTH 367, MTH 411; or permission of the instructor.
MTH 430. Real Analysis. 3 Hours
Continuation of MTH 330. Topics include the theory of convergence of sequences and series of functions in the context of metric spaces, uniform continuity, uniform convergence, and integration.
Prerequisite(s): MTH 330.
MTH 435. Advanced Multivariate Calculus. 3 Hours
Topics include directional derivatives, chain rule, Lagrange multipliers, Taylor's formula, the mean value theorem, inverse mapping theorem, implicit function theorem, integration, Fubini's theorem, change of variables, line integrals, Green's theorem and Stoke's theorem. Prerequisite(s): MTH 310.
MTH 445. Special Topics in Mathematics. 1-3 Hours
Lectures in specialized areas such as abstract algebra, applied mathematics, complex variables, differential forms, functional analysis, Galois theory, game theory, general topology, normed linear spaces, probability theory, real variables, topological groups. May be taken more than once.
Prerequisite(s): Permission of department chairperson.
MTH 447. Applied Design of Experiments. 3 Hours
This course introduces the principles and methods of designing experiments in various fields of study. It covers the basics of experimental design, including factorial designs, randomized blocks, Latin squares, and response surface methodologies. Students will learn how to plan, conduct, and analyze experiments effectively to make informed decisions.
Prerequisites: MTH 367 or MTH 411 or permission of the instructor.
MTH 458. Mathematical Models in Finance. 3 Hours
Mathematical models in finance which include discrete and continuous models for stock price, interest rate model, bond pricing model, and option pricing model. Quantitative methods are introduced and employed. The methods include Black-Scholes formula, Monte-Carlo simulation, and binomial tree. Markowitz's optimal portfolio selection method is introduced and employed.
Prerequisite(s): MTH 310.
MTH 465. Linear Algebra. 3 Hours
Vector spaces, linear transformations and matrices, determinants, inner product spaces, invariant direct-sum decomposition and the Jordan canonical form. Prerequisite(s): MTH 310.
MTH 466. Graph Theory & Combinatorics. 3 Hours
Graphs as algebraic structures; Eulerian, Hamiltonian, complete, connected and planar graphs. Applications include scheduling and routing problems. Discussion of algorithms for optimal or near-optimal solutions. Combinatorial topics could include generating functions, recurrence relations, Polya's theorem and Ramsey Theory. Prerequisite(s): MTH 308 or MTH 310.
MTH 467. Combinatorial Design Theory. 3 Hours
Topic include discussion of Latin squares, mutually orthogonal Latin squares, orthogonal and perpendicular arrays, Steiner triple systems, block designs, difference sets, and finite geometries.
Prerequisite(s): MTH 308.
MTH 471. Topology. 3 Hours
Introduction to topological spaces and continuous functions including a study of separation and countability axioms and elementary properties of metric spaces, connected spaces, and compact spaces.
Prerequisite(s): MTH 308.
MTH 477. Honors Thesis Project. 3 Hours
First of two courses leading to the selection, design, investigation, and completion of an independent, original Honors Thesis project under the guidance of a faculty research advisor. Restricted to students in the University Honors Program with permission of the program director and department chairperson. Students pursuing an interdisciplinary thesis topic may register for three semester hours each in two separate disciplines in consultation with the department chairpersons. Prerequisite(s): Approval of University Honors Program.
MTH 478. Honors Thesis Project. 3 Hours
Second of two courses leading to the selection, design, investigation, and completion of an independent, original Honors Thesis project under the guidance of a faculty research advisor. Restricted to students in the University Honors Program with permission of the program director and department chairperson. Students pursuing an interdisciplinary thesis topic may register for three semester hours each in two separate disciplines in consultation with the department chairpersons. Prerequisite(s): Approved 477; approval of University Honors Program.
MTH 480. Mathematics Capstone. 1 Hour
Students will prepare a presentation or a paper appropriate for a general audience on an advanced mathematical topic that builds on the foundation laid by previous mathematics courses. This course fulfills the Major Capstone component of the Common Academic Program for MTA, MTH and MTE majors. Junior or senior standing.
Prerequisite(s): MTH 308.
MTH 490. Readings in Mathematics. 1-3 Hours
Individual study in specialized areas carried out under the supervision of a staff member. May be taken more than once.
Prerequisite(s): Permission of department chairperson.