Mathematics Major (B.A.)

Professor of Computer Science McCulloch
Assistant Professor of Data Analytics Dietrich
Assistant Professor of Mathematics Guo
Assistant Professor of Mathematics McCurdy
Associate Professor of Mathematics Jackson
Professor of Mathematics and Computer Science Wiebe
Professor of Mathematics and Statistics Linder

The department offers majors in computer science and in mathematics. The department also offers the computer science 3-2 option major for those students planning to pursue a combined-degree pre-engineering program (see Combined Bachelor’s/Professional Degrees for general information on pre-engineering programs).

The department provides a full range of courses for students anticipating graduate work in computer science, mathematics, or statistics. There are also courses available for cognate majors where strong mathematical or computer skills are required. Lastly, the department provides service courses in support of many majors on campus, especially those requiring statistics or calculus.

Majors often take advanced courses in other departments directly complementing their studies in mathematics or computer science. Double majors with mathematics or computer science and a related area, such as economics or physics, are often undertaken. Upon graduation, recent majors have found employment in business, management science, statistical research, computing, actuarial science, environmental research, and teaching. In addition, majors have gained admission to graduate or professional programs in computer science, mathematics, philosophy, physics, economics, business, law, and medicine. Potential majors and others interested should consult with any member of the department in planning their course work.

Students double majoring in mathematics and computer science are limited to 17 courses within the department among those counted toward the 34 units required for graduation.

Students wishing to concentrate in computer science should contact Professor McCulloch. Those wishing to concentrate in mathematics should contact Professor Jackson. Those wishing to concentrate in statistics should contact Professor Linder. Those wishing to concentrate in secondary education should contact the Chair of the department.

Courses for Non-Majors

The department offers a number of courses specifically as a service to non-majors who seek training in mathematical sciences. These include MATH 105 , a course in elementary probability and statistics that prepares students to read the increasingly quantitative journals of the social and life sciences. Exploring Computer Science (CS 103 ) offers a broad, applications-oriented introduction to computing for students having no prior computing experience. Great Ideas in Mathematics (MATH 104 ) provides an introduction to modern mathematical ideas for students who will study no further mathematics. Precalculus (MATH 108 ) is for students who have a moderate mathematical background but not one sufficient to begin calculus immediately. The calculus courses (MATH 110 , MATH 111 , and MATH 210 ) are recommended for students who wish to continue the study of mathematics in college after a strong high school background. They are particularly important for any of the sciences and economics. Applied Statistics (Math 230) is an introductory course that will provide students with an understanding of statistical methods that prepares them for further study in statistics (statistical modeling courses, for example). Introduction to Computer Science and Programming (CS 110 ) provides a careful entry into the discipline of computer science and teaches programming in a high-level language.

Learning Objectives

Mission Statement for the Mathematics Major

In taking courses toward a mathematics major a student will encounter some of the great mathematical ideas of the last several centuries, develop skill in using mathematical tools, gain appreciation of the role of abstraction and theory in mathematics, and learn how to use mathematics to model aspects of the real world. We endeavor to prepare students for graduate study in mathematics or statistics; to seek employment in the private sector, e.g., as statisticians, applied mathematicians, or actuaries; to teach mathematics in secondary education; or to pursue a career in a cognate field, e.g., physics, chemistry, biology, or economics.

Subject Matter Objectives

A student should have an introductory knowledge of the following areas:

Basic continuous mathematics (single and multi-variable calculus);
Basic discrete mathematics (linear algebra and discrete structures);
Higher abstract mathematics (abstract algebra, analysis, topology, logic);
Higher applied mathematics (probability, statistics, differential equations, numerical analysis).

Our course requirements ensure some exposure to each of these four areas, the degree and rigor of exposure will depend on the plans and abilities of the student in consultation with an academic advisor.

Major Requirements

MATH 111 Calculus II
MATH 210 Multivariable Calculus
MATH 250 Discrete Mathematics
MATH 270 Linear Algebra
MATH 340 Analysis I or MATH 370 Abstract Algebra I
and a minimum of four additional mathematics courses numbered 230 or above.
Also, CS 110 Introduction to Computer Science and Programming or equivalent knowledge of programming.

It is suggested that MATH 250 and CS 110 be completed by the end of the sophomore year.

Students wishing to focus on statistics should complete a mathematics major which includes:

Students wishing to focus on applied mathematics should complete a mathematics major which includes:

Some students complete a Mathematics major with the goal of being licensed to teach mathematics in secondary school. In order to meet the licensure requirements in Ohio these students must select MATH 230 and MATH 320 among their electives and also take MATH 370 .

Recommended courses to prepare for graduate school in mathematics include MATH 330 , MATH 340 , MATH 370 , MATH 440 , and MATH 470 . In particular, a strong preparation for graduate school will include more than the minimum number of courses required to complete the mathematics major.