Math 110 Quantitative Problem Solving is a course to assist students in developing fundamental mathematical concepts. and precesses. Emphasis is placed on problem solving, reasoning, communication and mathematical connections. Students recommended for this course should take it prior to enrolling in courses with quantitative content. This course is offered S/U inly and may not be used be used to fufill the General Education Requirement of the College of Arts & Sciences nor be counted toward a major or minor in mathematics.
Contact: Rick Gillman ,
Department of Mathematics and Computer Science, Valparaiso University Valparaiso,
I-100 Case Studies in Quantitative Reasoning is an interdisciplinary, team taught course designed to teach quantitative methods in the context of how they are used. It s not a simple presentation of technical meothds followed by practice problems. Instead case studies from a variety of disciplines form the subject matter of the course . The emphasis is not on rote computation, but on reasoning; not on formulas, but on ways to construct and evaluate arguments. Distribution credit in Mathematics/ Statistics will be given for successful completion of I-100. However it is recommened that students work for a second semester to reinforce and extend their mastery of quantitative skills.
Contact: Janice Gifford or Harriet Pollatsek, Department of Mathematics,
Statistics and Computer Science, Mount Holyhoke College, South Hadley,
EST/AMS 194 Patterns of Problem Solving has four goals: to increase student confidence in understanding the role of quantitative reasoning plays in many aspects of decision making; to develop student ability to apply quantitative techniques to address certain practical problems; to develop student ability to use the computer as a tool in solving applications problems; and to develop quantitative metaphors for viewing the world that are sufficiently powerful. The notion of "model" will be examined in the context of a variety of applications.
Ferguson , Program in Technology and Society, State University of New
York at Stony Brook, Stony Brook, NY (516)632-8763
Math 101 Core Competency in Mathematics is designed to help the student develop the use of mathematical thinking in his/her life as an educated person. It seeks to develop in the student a competency in problem solving and analysis which is helpful in personal decision-making, in evaluating concerns in the community and state, and in setting and achieving career goals. The course satisfies the mininum competency requirements of the University.
Contact: Linda R. Sons
, Department of Mathematical Sciences, Northern Illinois University, DeKalb,
53.101 Mathematical Thinking is a presentation of various mathematical topics designed to promote quantitative reasoning and to enable the student to use mathematical concepts for problem solving and decision making. In the course, the student will develop insight into the nature, purposes and accomplishments of mathematics, will learn to use mathematics as a tool, and will learn to critically evaluate mathematical statements, and will develop a positive attitude toward mathematics.
Contact: Stephen D. Beck, Department of Mathematics and Computer
Science, Bloomsberg University, Bloomsberg, PA
UNIV 101Introduction to Quantitative Reasoning is designed to develop in the student the ability to reason with quantities through solving problems in arithmetic, algebra,probability, statistics, logic and geometry. It also includes material on how to think about and approach problems. The course is intended to help prepare students for higher level quantitative reasoning courses as well as improving basic quantitative reasoning skills. Admission to the course is by placement. The course counts as elective credit towards graduation but does not count towards a major or minor in mathematics.
Contact: Doug Harms (765) 658-4727 or the Q Center Director (765)
658-4438 at DePauw University, Greencastle, IN 46135.