Catalog Entries |
Fall 2021
Apr 20,2024 |
|
 |
||
 | Select the Course Number to get further detail on the course. Select the desired Schedule Type to find available classes for the course. |
| MATH 106 - INTRODUCTION TO MATHEMATICAL MODELING |
|
This is a Quantitative Reasoning keystone course meant for non-science majors. The course is intended to provide insight into the importance of mathematics to the world outside academia, and to improve students reasoning and problem—solving skills. It will introduce to students applications by way of management decision making, social choice, and population studies. Typical among problems to be studied are: scheduling of projects with precedence restrictions; linear Programming problems; manipulability of voting systems; weighted voting systems (coalitions and relative power, paradoxes in voting systems); apportionment; fair division in presence of individual preferences; detection and/or
correction of data transmission errors.
0.000 TO 4.000 Credit hours 0.000 TO 4.000 Lecture hours Levels: Undergraduate Schedule Types: Hybrid, Lecture, Online Course Mathematics Department Course Attributes: Gen Ed 2018, Gen Ed 18-Quantitative Rsng, OLD GE-MATHEMATICS |
|