Mathematics Department - Math 103 - Topics in Mathematics for the Liberal Arts

Math 103 - Topics in Mathematics for the Liberal Arts



Math 103 is a popular course taken by many undergraduates not majoring in the mathematical, physical, or life sciences, to satisfy a quantitative course requirement for graduation. It is intended to cohere well with students' liberal arts and social science interests, by investigating applications of mathematics, much of it developed only relatively recently, in contexts which are relevant to individuals who do not necessarily have strong interests in the sciences. These topics include the mathematics of voting (when there are 3 or more candidates in an election, how do you decide who should win, and how can we define suitable notions of "fair" and "unfair" outcomes?), weighted voting systems (how much power does each party really have in a parliamentary system, or each nation on the UN Security council, or each state in the US electoral college?), the mathematics of apportionment (how many congressional seats is each state entitled to, and what mathematical difficulties can result from apportioning them?), fair division of goods (how can co-owners of a store location but with different retail businesses divide the year fairly? if siblings inherit an estate, what is a fair way to divide it?), financial mathematics and exponential growth (if you invest $100 every month at a certain interest rate, how much will be there in 30 years?), Euler circuits (what is an efficient way to drive over every road in your town, e.g. if you're plowing out the roads after a snowstorm?), the Traveling Salesman Problem (given a table of airfares, how do you find the cheapest itinerary if you must visit 10 cities in some order?), and the mathematics of networks (to build the cheapest possible high speed rail system linking a certain group of cities, which pairs of cities should have direct links built between them?). You will not be left wondering, "what does this have to do with real life?" The course is also intended to reinforce underlying mathematical skills. During the spring semester there will be an honors version of Math 103 which deals with the mathematics and public policy issues related to cryptography. This Web page deals only with the non-honors version of the course.



SAS Core Curriculum Learning Goals

Math 103 fulfills both the Quantitative Information (QQ) and Mathematical or Formal Reasoning (QR) learning goals of the SAS Core Curriculum:
QQ: Formulate, evaluate, and communicate conclusions and inferences from quantitative information.
QR: Apply effective and efficient mathematical or other formal processes to reason and to solve problems.

General syllabus

Revised Spring 2012

Please note that ultimate authority rests with the individual instructor. The syllabus distributed in class and/or posted on the Sakai site for an individual section takes precedence over the one posted on this web site.



Schedule Archives

Summer 2012 Schedule

InstructorIndex Section Day(s)/
Period
Time Room
(click for map)
Campus Session Dates
Marvin, Mary 82985 B1 MTWH8:00A-9:55SEC-208 BUS 1 5/29-7/06
Lieberman, Melissa 82986 B6 MWF6:00P-8:45SEC-210 BUS 1 5/29-7/06
Lew, Kristen 80353 E1 MTWH8:00A-9:50SEC-207 BUS 2 6/25-8/02
Nemzer, Dan 82685 HI MTWH8:00A-9:50SEC-208 BUS 3 7/09-8/15
Goldring, Marc 82588 H6 MWH6:00P-8:35CI-203 CAC 3 7/09-8/15



Note to current MATH 103 students: Homework solutions and supplemental problems are now posted on the course site on Sakai.


See also:


Disclaimer: Posted for informational purposes only

This material is posted by the faculty of the Mathematics Department at Rutgers New Brunswick for informational purposes. While we try to maintain it, information may not be current or may not apply to individual sections. The authority for content, textbook, syllabus, and grading policy lies with the current instructor.

Information posted prior to the beginning of the semester is frequently tentative, or based on previous semesters. Textbooks should not be purchased until confirmed with the instructor. For generally reliable textbook information—with the exception of sections with an alphabetic code like H1 or T1, and topics courses (197,395,495)—see the textbook list.

This page was last updated on January 16, 2012 at 07:33 pm and is maintained by weingart@math.rutgers.edu.
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