Mathematics courses at Carthage help students acquire methods of logical reasoning and deduction, and develop problem-solving skills for a wide variety of applications. Scroll down to read descriptions of the Mathematics courses offered at Carthage, or click on the following links for additional resources.

MTH 1030

Applied Contemporary Mathematics (MTH)

4cr
This is an entry-level course appropriate for most college students that emphasizes mathematical reasoning in everyday experiences. The geometry unit deals with form, growth, size, and patterns found in living populations and created art. The mathematics of social choice studies techniques of decision-making, voting, and optimizing alternatives. Operations research discusses algorithms for scheduling, planning, and creating networks. Standard statistical measures also are studied and interpreted. This course is designed for any student who does not need the technical vocabulary of trigonometry or analytic geometry. A student may not receive credit for Applied Mathematics after receiving credit for any course numbered 1120 or above.
Fall/J-Term/Spring

MTH 1040

Principles of Modern Mathematics (MTH)

4cr
An introduction to set theory, problem-solving, geometry, algebra, probability, and statistics, with selected applications for each. The course satisfies teacher certification requirements.
Fall/J-Term/Spring

MTH 1050

Elementary Statistics (MTH)

4cr
Methods of determining averages, variability, hypothesis testing, correlation, and of testing the significance of the statistics, prediction, and distribution-free statistics. A student may not receive credit for Elementary Statistics after receiving credit for any other statistics course.
Fall/Spring

MTH 1060

Finite Mathematics (MTH)

4cr
The main topics covered are Boolean algebra, logic, sets, graph theory, combinatorics, number systems, probability, coding, information theory, recurrence relations, and algorithms. This course cannot be taken for credit after MTH 1240.

MTH 1070

Functions, Graphs, and Analysis (MTH)

4cr
A study of polynomial, rational, trigonometric, and exponential functions and their applications. The nature of functions, equation solving, solution estimation, graphing, and mathematical modeling will be emphasized. A student may not receive credit for this course after receiving credit for any other course numbered 1120 or above.
Fall/Spring

MTH 1120

Calculus I (MTH)

4cr
This course is a study of coordinate systems, straight lines and conic sections, theory of limits, differentiations of algebraic functions, applications to slopes and curves, and maxima and minima.
Prerequisite: MTH 1070 or high school preparation
Fall/Spring

MTH 1220

Calculus II (MTH)

4cr
A study of transcendental functions, infinite series, mean-value theorem, polar coordinates, integration, and application of integration. Students completing this course with a grade of C or better will be awarded credit for MTH 1120.
Prerequisite: MTH 1120 with C or better
Fall/Spring

MTH 1240

Discrete Structures (MTH)

4cr
A study of logic, proofs, and sets; graphs, digraphs, trees, colorings, and traversal; permutations and combinations; binomial coefficients; and recurrence relations.
Prerequisite: MTH 1120, CSC 1100, CSC 1810, or CSC 1030, or departmental approval
J-Term/Spring

MTH 2020

Differential Equations (MTH)

4cr
A study of common types of ordinary differential equations, their solutions and applications, singular solutions, and an introduction to mathematical modeling.
Prerequisite: MTH 1220
Fall

MTH 2040

Linear Algebra (MTH)

4cr
An examination of linear equations, matrices, vector spaces, transformations, and eigensystems.
Prerequisite: MTH 1220
Spring

MTH 2080

Modern Geometry (MTH)

4cr
An introduction to the branches of geometry including plane, solid, higher dimensional, fractal, transformational, non-Euclidean, and combinatorial.
Prerequisite: MTH 1120
Fall of even-numbered years

MTH 2090

Mathematical Computing

4cr
This course focuses on three classes of computational tools: structured programming languages, computer algebra systems, and spreadsheets. Students will learn Python, Mathematica, and Excel by solving a wide range of mathematical problems from discrete mathematics, number theory, and applied mathematics; and as importantly, students will learn which tools are appropriate for various problems.
Prerequisite: MTH 1240 or MTH 1220 or instructor approval
Spring

MTH 2120

Multivariate Calculus (MTH)

4cr
A study of curvilinear motions, solid analytic geometry, vectors, partial derivatives, and multiple integration. Students completing this course with a grade of C or better will be awarded credit for MTH 1120 and 1220 if not previously taken.
Prerequisite: MTH 1220
Spring

MTH 2130

Mathematics of Actuarial Science (MTH)

4cr
This course is designed to help students prepare for a career in the actuarial sciences, and to help students learn material covered on the first actuarial examination. Topics will include limits, series, sequences, derivatives of single and multivariate functions, integrals of single and multivariate functions, general probability, Bayes’ theorem, univariate probability distributions, and multivariate probability distributions.
Prerequisites: MTH 1220 and MTH 1240 or instructor approval
Fall

MTH 2190

Ethics in Data Science

4cr
This course will help students think critically about the complex ethical issues arising in technological fields. Students will learn some of the indicators of bias hidden by technology, analyze recent cases of ethical misconduct involving big data, and will learn to perform a contextual risk-benefit analysis of implementing.
Spring

MTH 3030

Probability (MTH)

4cr
A second course on discrete structures including probability, combinations and permutations, recursion, and algorithms.
Prerequisites: MTH 1220 and MTH 1240
Fall of odd-numbered years

MTH 3040

Abstract Algebra I (MTH)

4cr
A study of groups, Lagrange’s theorem, normal subgroups, fields, rings, integral domains, subrings, ideals, and vector spaces.
Prerequisites: MTH 1240 and MTH 2040
Fall

MTH 3050

Statistics (MTH)

4cr
Data collection and analysis; continuous and discrete distributions, central limit theorem, sampling theory, confidence intervals and estimation theory, regression analysis and correlation including multiple linear regression models and hypothesis testing and confidence intervals in regression models, chi-square test of independence and other nonparametric statistical tests, time series models and forecasting, linear time series models, moving average and autoregressive models, estimation, data analysis, index numbers, forecasting with time series models, forecasting errors and confidence intervals, and application of statistics to significant real-world data.
Prerequisites: MTH 1050 and MTH 1220 or instructor approval
Spring of odd-numbered years

MTH 3090

Mathematics of Data Science

4cr
This class dives deeper into the data science process by studying the mathematical foundations of common data science methods and techniques. Methods include linear regression, classification models, and clustering. Techniques include generalized study of functions, best practices for handling data, optimization, and analyzing error measures.
Prerequisite: CSC 1810

MTH 3120

Real Analysis (MTH)

4cr
Fundamental concepts of analysis, limits, continuity, differentiation, and integration. Major topics include the real number system, sequences, series, the Riemann integral, and the gauge integral.
Prerequisites: MTH 1240 and MTH 2040
Spring

MTH 3140

Abstract Algebra II (MTH)

4cr
A continuation of Abstract Algebra I, concentrating on topics in ring theory and field theory, including applications. Specially arranged, odd-numbered years.
Prerequisite: MTH 3040

MTH 3180

Introduction to Topology (MTH)

4cr
This course will serve as an introduction to the topology of Euclidean spaces and manifolds, with an emphasis on basic sets (disks, spheres, annuli, Cantor sets) in lower dimensional space. Continuous maps, homeomorphisms, and embeddings will be studied in conjunction with connectedness and paths, convergence and compactness, manifolds, homotopy, contractible sets, the Brouwer fixed-point theorem, and covering spaces. At the end of the course, each student will complete an individual project based on a research article that examines one of the major areas (e.g., physical knot theory) in the modern study of topology.
Prerequisites: MTH 1220 and MTH 1240

MTH 3220

Complex Variables (MTH)

4cr
This course is an introduction to complex analysis, including the Cauchy-Riemann equations, Cauchy’s theorem, residue theory, and conformal mapping.
Prerequisite: MTH 1220

MTH 3350

Data Science Portfolio I

1cr
This is the first course in a two-course sequence in which students develop, propose, and refine their three-course applied sequence in data science; learn about the concept of a data science portfolio; and begin the process of planning and assembling their data science portfolio. Students will also engage in career and professional development activities.
Prerequisites: CSC 1040 and MTH 1050, MTH 3050, BUS/ECN 2340, or EXS 2330, or instructor approval
Spring

MTH 3470

Mathematics for Scientists and Engineers (MTH)

4cr
A study of differential equations, partial differential equations, multiple integration, Laplace transforms, Fourier transforms, and vector analysis. Most spring semesters.
Prerequisite: MTH 2020 with a grade of C- or better
Spring

MTH 4200

Methods and Materials in Teaching Mathematics

4cr
A study of teaching methods and instructional materials in mathematics. Special attention is given to the selection and organization of subject matter and learning activities. Fieldwork required.
Prerequisites: Admission to the Teacher Education Program and to be nearly completed with the major.
Spring

MTH 4300

Senior Research

4cr
Students will engage in mathematics research. Technical oral and written communication skills will be emphasized. Students will produce a high-quality Senior Thesis as part of this course.
Prerequisites: Mathematics Major and junior standing
Fall

MTH 4350

Data Science Portfolio II

1cr
This is the second and final course in the data science portfolio sequence. In this class, students will assemble and present their data science portfolio. In addition, students will reflect upon the learning goals of their three-course sequence and articulate how those learning goals were accomplished. Students will participate in professional and career development activities.
Prerequisite: MTH 3350 or instructor approval
Spring

MTH 4500

Independent Study in Mathematics

2-4cr
Independent study in a topic of interest in mathematics that does not duplicate any other course in the regular course offerings.
Prerequisites: MTH 1220 and instructor approval

MTH 4900

Research in Mathematics

4cr
An opportunity to conduct research in mathematics, culminating in a research paper.
Prerequisites: MTH 1220 and instructor approval

MTH 4990

Senior Thesis Completion

0cr
Students should register for MTH 4990 during the semester in which they plan to complete their Senior Thesis.