Dear Concordia Faculty Advisers and Students,

All of the following courses satisfy the Mathematics K
Exploration course requirement in our core curriculum, *Becoming Responsibly Engaged in the World*. This guide is meant to
help students choose the mathematics course that is best for the student and
the student`s ability level. We recommend that a majority of Concordia`s
students choose a course from Section A below to fulfill their core Math K
requirement. If you have any questions or comments, please contact us in the
mathematics department, 4453 or andersod@cord.edu.

**A.
**__General
Level Mathematics Courses: Math 105, 203, 205, CSC 125, DATA 200__

**MATH
105 - Exploring Mathematics**, 4 credits. E. This course uses
real-world 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 taxicab geometry, voting theory, number theory, graph theory,
probability, statistics, consumer mathematics. Prerequisite: high school
algebra.

**MATH
203 - Finite Mathematics**, 4 credits. E. This course examines
combinatorics, probability, matrices, systems of linear equations, linear
inequalities and mathematics of finance. Examples and applications are drawn
from various behavioral sciences and social sciences. Prerequisite: high school
higher algebra. Recommended for business, social science and other majors, and
those preparing for a statistics course in their major, due to an emphasis in
this course on the foundations of probability.

**MATH
205 - Introduction to Statistics**, 4 credits. E. This is
an introductory course in statistical methods. 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 proper interpretation of results. The theory will be illustrated by
examples from biology, engineering, industry and medicine. In addition, a
statistical software program will be used to facilitate the understanding of
statistical concepts and analysis of data sets. Prerequisite: high school
higher algebra. Recommended for science and other majors looking for a full
introductory treatment of statistics.

**CSC
125 - Introduction to Computer Science**, 4 credits. E. An
introduction to the Java programming language, algorithm design, structured and
object-oriented programming techniques. No prior programming experience is
assumed. Prerequisite: higher algebra.

**DATA
200 - Introduction to Data Analytics, **4 credits. E. This is an
introductory course in using modern data analysis concepts and tools to gain
insight and make decisions in a business or organizational setting. Topics
include data storage, business intelligence, basic data mining and modeling,
visualization, predication/forecasting, and clustering/segmentation. Students
will compete at least one data analytics project, starting from an original research
questions and concluding with actionable recommendations.

**B.
**__Mathematics
for Elementary Education Majors: Math 102__

**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; enrollment restricted to elementary education majors.

**C.
**__Mathematics
from the Pre-Calculus and Calculus Sequence: Math 110, 121, 122, 223, 311__

**MATH
110 - 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.
Recommended for those preparing for Calculus I, or those who really enjoy
higher high school algebra, the study of functions, and trigonometry.

**MATH 121 - Calculus I**, 4 credits. E.
An introduction to the concepts of limit and continuity, the derivative and its
applications, and an introduction to the definite integral. Some review of
trigonometry and analytic geometry is included. Prerequisite: MATH 110 -
Precalculus or equivalent. Recommended for those with a strong pre-calculus
background, or those who want a full review of introductory calculus.

**MATH 122 - 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
223 - Calculus III**, 4 credits. E. Vector calculus and multivariable
calculus and applications, line integrals, surface integrals. Green`s Theorem,
Stokes` Theorem and the Divergence Theorem. Prerequisite: MATH 122 - Calculus
II.

**MATH
311 - Differential Equations**, 4 credits. E1.
Differential equations and models, analytic solutions and approximations,
second-order equations, harmonic oscillators, Laplace transforms and initial
value problems. Prerequisite: MATH 122 - Calculus II.

**D.
**__Advanced
Mathematics: Math 207, 320, 335__

**MATH
207 - Discrete Mathematics**, 4 credits. E. Logic, sets,
functions, sequences and series, matrices, algorithms, methods of proof,
combinatorics, recurrence relations, linear programming, graphs and trees.
Prerequisite: MATH 110 Precalculus is highly encouraged.

**MATH
320 - Geometry**, 4 credits. E2. Euclidean, non-Euclidean,
projective and other geometries as time permits. Prerequisite: 210 - Linear
Algebra.

**MATH
335/CSC 335/BUS 460 - Operations Management/Research**,
4 credits. E1. An introduction to quantitative modeling, with applications to
computer simulation and business resource management. Topics include linear and
nonlinear programming, network analysis, game theory, deterministic and
probabilistic models and queuing theory. Prerequisite: consent of the
instructor.

For more information, please contact the Mathematics and Computer Science
Department in ISC 364, phone 4453, or email andersod@cord.edu.

Douglas Anderson, Chair