Ideas in Mathematics and Their Applications

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Overview

Subject code

MTH

Course Number

2160

Department(s)

Description

This course is designed for the liberal arts student who wants to sample the intellectual breadth of mathematics. Topics are chosen which are representative of the following fields: number theory, infinity in mathematics, geometry and topology, modern physics, computer arithmetic, set theory, the history of mathematics, probability and statistics, and graph theory. Applications of the ideas are presented wherever feasible. Some possible topics include: primality, the nature and representation of numbers, the Euclidean Algorithm, numerical approximation, geometric and sequences and series, cardinality, the bridges of Koenigsberg problem, projective geometry, non-Euclidean geometry, relativity, binary arithmetic, symbolic logic, the life of a selected mathematician, games of chance, misusing data, planar graphs, and network analysis. (MTH 2160 is not recommended for students whose major requires a statistics course or another math course. It does not meet the BBA base curriculum math requirement.)This course is not open to students who completed any other mathematics course numbered 2000 or higher.MTH 2140 and MTH 2160 may substitute for each other in the F-replacement policy. The policy on repeating courses covers MTH 2140 and MTH 2160, e.g., one course taken three times, each course taken once, or a one-and-two combination. All combinations will be treated identically as three attempts.

Career

Undergraduate

Credits

Value

4

Max

3

Min

3

Course Count

1

Number Of Credits

3

Number Of Repeats

1

Repeatable

No

Contact Use

Yes

Generate Attendance

No

Left Use

Yes

Present Use

Yes

Reason Use

Yes

Tardy Use

Yes

Template Override

No

Time Use

Yes

Attendance Type

Class Meeting

Auto Create

No

Code

LEC

Instructor Contact Hours

4

Default Section Size

35

Final Exam Type

Yes

Include in Dynamic Date Calc

No

Instruction Mode

In Person

LMS File Type

Blackboard CourseInfo 4

Name

Lecture

OEE Workload Hours

0

Optional Component

No

Preferred Room Features

Academic Scheduling

Workload Hours

4