Undergraduate Catalog - Lake Erie College

MT 105 Theory of Mathematics for Education (3 SH)
Offered: Fall
Pre-Requisite(s): Early Childhood Education or Intervention
Specialist majors
A study of elementary school mathematics topics to promote
a deep understanding in the areas of problem solving;
set theory, history of numbers, number theory (whole,
integers, rational and irrational numbers) and operations
(addition, subtraction, multiplication, division); algebra
and functions; students will learn to apply the technology.
Students will become familiar with the National Council of
Teachers of Mathematics (NCTM) resource Principles and
Standards for School Mathematics.
MT 106 Geometry and Statistics for Education (3 SH)
Offered: Spring
Pre-Requisite(s): MT 105
A continuation of MT 105. Study of the central concepts and
tools of inquiry of algebraic thinking, geometry and spatial
sense (planar and 3 dimensional figures; transformation,
symmetries and tiling; and congruence and similarity),
measurement (length, area, perimeter, volume, surface
area), probability, statistics and data analysis and finance.
Students will become familiar with the National Council of
Teachers of Mathematics (NCTM) resource Principles and
Standards for School Mathematics.
MT 107 Applied College Algebra (4 SH)
Semester Offered: Fall and Spring
Pre-Requisite(s): Placement or C or better in MT 104
This course deals with the fundamental mathematical
tools frequently applied in social sciences, humanities and
fine arts. Selected portions of mathematics are chosen to
develop an appreciation for the importance of mathematics
in today’s world. Mathematical concepts are approached
through applications. Topics include exploration of
equations, inequalities and their graphs, linear systems,
matrices, linear programming of 2X2 systems, examination
of rational and polynomial functions; exponential and
logarithmic models; mathematics of consumer finance and
amortization and statistical central tendency and standard
deviation and probability. The student should have had
three years of high school math including knowledge of
high school Algebra I, Algebra II and Geometry. Placement
in the class is through the mathematics department.
MT 109 Pre-Calculus I (4 SH)
Semester Offered: Fall and Spring
Pre-Requisite(s): Placement or C or better in MT 107
A study of topics needed to prepare a student who plans
to study science, business, statistics, middle school mathematics
or calculus or needs to supplement their prior
mathematics courses. The course includes polynomial
functions, exponential and logarithmic functions, graphs,
quadratic equations and inequalities and systems of
equations. The student should have had four years of high
school math including knowledge of high school Algebra I,
Geometry, Algebra II and Trigonometry. Placement in the
class is through the mathematics department.
MT 110 Pre-Calculus II (4 SH)
Offered: Spring
Pre-Requisite(s): MT 109 or Placement
Exponential and logarithmic functions, the trigonometric
functions, analytic trigonometry and topics in analytic
geometry. For students who plan to study science, computers,
middle school mathematics or calculus or need to
supplement their prior mathematics courses. The student
should have had four years of high school math including
knowledge of high school Algebra I, Geometry, Algebra II
and Trigonometry. Placement in the class is through the
mathematics department.
MT 160/260/360/460 Individual Investigation in Mathematics
(1-5 SH)
Supervised investigation of topics not offered as regular
courses in the mathematics curriculum.
MT 170-79/270-79/370-79/470-79 Special Topics in
Mathematics (2-4 SH)
A study of selected topics of interest to the student. Courses
taught as special topics may include differential and integral
equations, set theory, linear algebra, topology, number
theory, complex variables, topics in computer science and
topics of an interdisciplinary nature.
MT 207 Probability and Statistics (4 SH)
Semester Offered: Fall and Spring
Pre-Requisite(s): C or better in MT 109, permission
An introduction to the basic concepts of probability and
statistical inference. Topics generally include the laws of
probability, sampling, the normal, the binomial and the
chisquare distribution, estimation, hypothesis testing,
simple linear regression and correlation.
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