# Mathematics (secondary teacher education option)

• Mathematics
1. FOR NON-MATHEMATICS MAJORS WHO WANT A SECONDARY MATHEMATICS ENDORSEMENT (5-12):
Students desiring Iowa Teacher Certifications with a secondary endorsement must complete the Secondary Education Program (with MATH3360 Methods of Teaching Science and Mathematics as the appropriate methods course), a major in Secondary Education or Secondary teaching field, and the following courses:

Courses Offered
• CSIT1100Principles of Computing
CSIT1100 Principles of Computing - 3 s.h.

An introduction to the fundamentals of computer programming through extensive practice developing software in the Python language. Fundamental terminology and topics such as integrated development environments, variables, data types, control structures, functions, and objects will be covered. ELO4 Global Learning - Innovation

• MATH1370Statistics for Sciences
MATH1370 Statistics for Sciences - 3 s.h.

Data analysis and measures of central tendency, dispersion, and correlation. Introduction to probability. Estimation and hypothesis testing. Bivariate regression. ANOVA. Introduction to nonparametric techniques. ELO6 Math, GE2B Foundational Skills-Mathematics/Quantitative.

• MATH1510Calculus I
MATH1510 Calculus I - 4 s.h.

Limits, continuity, differentiation, and applications including exponential, logarithmic, trigonometric, and inverse functions. Mean value theorem, curve sketching, Riemann sums, and the fundamental theorem of calculus. Prerequisite: 2 years high school algebra. ELO6 Math, GE2B Foundational Skills-Mathematics/Quantitative.

• MATH1520Calculus II
MATH1520 Calculus II - 4 s.h.

Integration techniques and applications, polar coordinates, improper integrals, sequences and series of real numbers, and power series. Prerequisite: MATH1510.

• MATH2510Calculus III
MATH2510 Calculus III - 4 s.h.

Conic sections, vectors in space, functions of several variables, partial differentiation, multiple integration, line integrals, and Green’s Theorem. Prerequisite: MATH1520.

• MATH3320Modern Geometry
MATH3320 Modern Geometry - 3 s.h.

Foundations of Euclidean and non-Euclidean geometries. Prerequisite: MATH1510 and MATH2350 or consent of instructor. +This course is only offered every other year.

• MATH3340Linear Algebra
MATH3340 Linear Algebra - 3 s.h.

Matrices, vector spaces, linear transformations. Prerequisite: MATH1510 and MATH2350. +This course is only offered every other year.

• MATH3360Methods of Teaching Science and Mathematics (also SCIE3360)
MATH3360 Methods of Teaching Science and Mathematics (also SCIE3360) - 3 s.h.

A study of the objectives, methods, techniques, materials, and activities related to teaching science and mathematics in the secondary schools. Prerequisite: 20 hours in science or mathematics and Prerequisites: admittance into Teacher Education, unless part of an approved Liberal Studies Program.

• MATH4350Probability and Advanced Statistics
MATH4350 Probability and Advanced Statistics - 3 s.h.

Introduction to probability, classical probability models and processes, random variables, conditional probability, bivariate distributions and their development, goodness of fit tests, and other nonparametric methods. Prerequisite: MATH1520 and MATH2350. +This course is only offered every other year. (Students participating in the 4+1 Masters program in Data Science and Analytics should sign up for DSCI5340 Probability and Statistical Inference.)

CSIT1100Principles of Computing MATH1370Statistics for Sciences MATH1510Calculus I MATH1520Calculus II MATH2510Calculus III MATH3320Modern Geometry MATH3340Linear Algebra MATH3360Methods of Teaching Science and Mathematics (also SCIE3360) MATH4350Probability and Advanced Statistics
Course Descriptions
CSIT1100 Principles of Computing - 3 s.h.

An introduction to the fundamentals of computer programming through extensive practice developing software in the Python language. Fundamental terminology and topics such as integrated development environments, variables, data types, control structures, functions, and objects will be covered. ELO4 Global Learning - Innovation

MATH1370 Statistics for Sciences - 3 s.h.

Data analysis and measures of central tendency, dispersion, and correlation. Introduction to probability. Estimation and hypothesis testing. Bivariate regression. ANOVA. Introduction to nonparametric techniques. ELO6 Math, GE2B Foundational Skills-Mathematics/Quantitative.

MATH1510 Calculus I - 4 s.h.

Limits, continuity, differentiation, and applications including exponential, logarithmic, trigonometric, and inverse functions. Mean value theorem, curve sketching, Riemann sums, and the fundamental theorem of calculus. Prerequisite: 2 years high school algebra. ELO6 Math, GE2B Foundational Skills-Mathematics/Quantitative.

MATH1520 Calculus II - 4 s.h.

Integration techniques and applications, polar coordinates, improper integrals, sequences and series of real numbers, and power series. Prerequisite: MATH1510.

MATH2510 Calculus III - 4 s.h.

Conic sections, vectors in space, functions of several variables, partial differentiation, multiple integration, line integrals, and Green’s Theorem. Prerequisite: MATH1520.

MATH3320 Modern Geometry - 3 s.h.

Foundations of Euclidean and non-Euclidean geometries. Prerequisite: MATH1510 and MATH2350 or consent of instructor. +This course is only offered every other year.

MATH3340 Linear Algebra - 3 s.h.

Matrices, vector spaces, linear transformations. Prerequisite: MATH1510 and MATH2350. +This course is only offered every other year.

MATH3360 Methods of Teaching Science and Mathematics (also SCIE3360) - 3 s.h.

A study of the objectives, methods, techniques, materials, and activities related to teaching science and mathematics in the secondary schools. Prerequisite: 20 hours in science or mathematics and Prerequisites: admittance into Teacher Education, unless part of an approved Liberal Studies Program.

MATH4350 Probability and Advanced Statistics - 3 s.h.

Introduction to probability, classical probability models and processes, random variables, conditional probability, bivariate distributions and their development, goodness of fit tests, and other nonparametric methods. Prerequisite: MATH1520 and MATH2350. +This course is only offered every other year. (Students participating in the 4+1 Masters program in Data Science and Analytics should sign up for DSCI5340 Probability and Statistical Inference.)