MATHEMATICS 109 • 20 credits numbered 300 or above which must include MATH 402 – Mathematics Senior Seminar, 2 credits, and either MATH 325 – Modern Algebra, 4 credits, or MATH 330 – Real Analysis I, 4 credits. A maximum of 4 credits in Cooperative Education may be counted toward a major in mathematics. Recommended courses for students interested in graduate school in mathematics include: • MATH 325 – Modern Algebra I, 4 credits • MATH 330 – Real Analysis I, 4 credits • MATH 328 – Complex Analysis, 4 credits • MATH 425 – Modern Algebra II, 2 credits • MATH 430 – Real Analysis II, 2 credits Minor in Mathematics The requirements for a minor in mathematics are 20 credits: • MATH 121 – Calculus I, 4 credits • MATH 122 – Calculus II, 4 credits • MATH 210 – Linear Algebra, 4 credits • 8 additional credits numbered 200 or above to include at least one course numbered 300 or above. At most, 4 credits from MATH 250 – Pre-May Seminar or MATH 300 – May Seminar can be counted toward a minor in mathematics. Major in Mathematics Education This major prepares students to be recommended by the Concordia College department of education for Minnesota licensure to teach mathematics in grades 5-12. To be eligible to complete this major, the student must be admitted to the teacher education program. (See education pages for program information, requirements and course descriptions.) The requirements for a major in mathematics education are 42 credits plus 32 credits in education: • MATH 121 – Calculus I, 4 credits • MATH 122 – Calculus II, 4 credits • MATH 207 – Discrete Mathematics, 4 credits • MATH 210 – Linear Algebra, 4 credits • MATH 223 – Calculus III, 4 credits • MATH 315 – Probability and Mathematical Statistics, 4 credits • MATH 320 – Geometry, 4 credits • MATH 325 – Modern Algebra I, 4 credits • MATH 402 – Senior Seminar, 2 credits • 4 additional credits in mathematics, from courses numbered 300 or above • 4 credits in applied statistics chosen from the following: – BUSN 320 – Business Statistics, 3 credits – PSYC 230 – Statistics and Psychological Measurement, 4 credits – SOC 228 – Research Methods and Statistics, 4 credits – MATH 205 – Introduction to Statistics, 4 credits • EDUC 384 – Methods of Teaching in Mathematics, 4 credits (required methods of teaching course) • Successful completion of the secondary/K-12 required coursework A course in computer science is strongly recommended, such as CSC 104 – Software Applications or CSC 125 – Introduction to Computer Science. Recommended supporting courses in mathematics for students with the following interests include: Physical science • MATH 311 – Differential Equations, 4 credits • MATH 312 – Applied Mathematics, 2 credits • MATH 315 – Probability and Mathematical Statistics, 4 credits • MATH 335 – Operations Management/Research, 4 credits Social and behavioral science • MATH 203 – Finite Mathematics, 4 credits • MATH 207 – Discrete Mathematics, 4 credits • MATH 210 – Linear Algebra, 4 credits • MATH 311 – Differential Equations, 4 credits • MATH 315 – Probability and Mathematical Statistics, 4 credits Elementary education • MATH 102 – Fundamental Concepts of Modern Mathematics, 4 credits • MATH 121 – Calculus I, 4 credits • MATH 207 – Discrete Mathematics, 4 credits • MATH 215 – Introduction to Probability and Statistics, 2 credits • MATH 220 – Introduction to Geometry Concepts, 2 credits Actuarial sciences • MATH 315 – Probability and Mathematical Statistics, 4 credits • MATH 316 – Applied Statistical Models, 4 credits In addition, the following business courses are recommended for students interested in actuarial science: • ACCT 255 – Principles of Financial Accounting, 4 credits • ACCT 256 – Principles of Managerial Accounting, 4 credits • BUS 201 – Principles of Global Economics, 4 credits • BUS 262 – Introduction to Business Law, 4 credits • BUSN 301 – Intermediate Microeconomic Theory, 3 credits • BUSN 302 – Intermediate Macroeconomic Theory, 3 credits • BUSN 303 – Managerial Finance, 4 credits • BUSN 320 – Business Statistics, 3 credits Courses Mathematics Courses MATH 102 – Fundamental Concepts of Modern Mathematics, 4 credits. E. Numeration, number systems, geometry and other topics addressed in the elementary school curriculum. Required for students majoring in elementary education. MATH 105 K – Exploring Mathematics, 4 credits. E. This course uses realworld problems and situations to improve students’ problem-solving skills, to improve their ability to apply mathematics, and to enhance their appreciation of the importance of mathematics in our modern world. Topics will be chosen from voting theory, number theory, taxicab geometry, graph theory, probability, statistics, financial mathematics, game theory, and perspective drawing. This course can be used to fulfill the math exploration requirement. MATH 110 K – Precalculus, 4 credits. E. A study of the function concept and properties of the polynomial, exponential, logarithmic and trigonometric functions. Prerequisites: high school geometry and higher algebra MATH 121 K – Calculus I, 4 credits. E. An introduction to the concepts of limits, continuity, derivatives and antiderivatives and their applications, and an introduction to the Riemann integral and integration techniques, including by substitution. Some review of trigonometry and analytic geometry is included. Prerequisite: MATH 110 – Precalculus or equivalent MATH 122 K – Calculus II, 4 credits. E. Applications of the definite integral, techniques of integration, parametric equations, introduction to differential equations, sequences, series and Taylor and Maclaurin Series. Prerequisite: MATH 121 – Calculus I MATH 203 K – Finite Mathematics, 4 credits. E. The course examines combinatorics, probability, descriptive and inferential statistics, linear programming, and mathematics of finance. Prerequisite: high school or higher algebra MATH 205 K – Introduction to Statistics, 4 credits. E. This is an introductory course in statistical methods for science and mathematics students. The object of this course is to provide students with a conceptual introduction to the field of statistics, including the determination of the appropriate procedures for data analysis and the