Quantitative Literacy courses are intended to teach students how to: Understand quantitative models that describe real world phenomena and recognize limitations of those models; Perform simple mathematical computations associated with a quantitative model and make conclusions based on the results;
Math 104 (Quantitative Literacy) focuses on algebraic and numeric skills in a context of applications and problem-solving to prepare students for Stat 121 (Introduction to Statistics for the Social Sciences) or Math 100 (Contemporary Mathematics). Topics include quantitative relationships, algebraic reasoning, functional reasoning, probabilistic and statistical reasoning, …
5 rows · Quantitative Literacy. Quantitative Literacy involves using mathematical, computational, or ...
Jun 17, 2011 · In the twenty-first century, literacy and numeracy will become inseparable qualities of an educated person. To this end, quantitative analysis courses at Wheaton have at least one of the following recurring themes: data analysis and statistical methods, formal symbolic systems, mathematical models and applications.
Quantitative Literacy. This course is designed to engage students in complex and realistic situations involving the mathematical phenomena of quantity, change and relationship, and uncertainty through project- and activity-based assessment. Emphasis is placed on authentic contexts which will introduce the concepts of numeracy, proportional reasoning, dimensional …
Manipulate and solve equations, using appropriate mathematical techniques and technology.
Currently many students have difficulty passing Math 106 (Algebra and Elementary Functions ), or had to take a series of courses (LRC 099 and Math 106) which were previously a prerequisite requirement for Math 100 (Contemporary Mathematics) and Stat 121 (Introduction to Statistics for the Social Sciences). Math 104 (Quantitative Literacy) is focused on applied foundations of mathematics rather than algebra, and will prepare students for a GEP course in the following semester.
There is some overlap of material, but a primary difference between the courses lies in the presentation of material. Math 106 is an intensive algebra course that focuses on abstract reasoning and mathematical notation; Math 104 is an applied course focusing on how students will use mathematical tools, and therefore has less ...
Some examples of majors that do not require any calculus or algebra-intensive course are Africana Studies, American Studies, Ancient Studies, Cultural Anthropology, Asian Studies, Dance, etc. Please note that this list of majors is not exhaustive. Consult the Undergraduate Catalog for details on major requirements.
The pathway is not intended for students entering majors that require calculus or an algebra-intensive course. If you are a first time college freshman in the coming semester and are interested in a major in social sciences, liberal arts, communications, or arts, this course may be for you.
Math 104 will serve as a prerequisite for Math 106 (Algebra and Elementary Functions), so students can easily move back to the calculus-readiness path if they choose to.
Quantitative Literacy involves using mathematical, computational, or statistical methods, with significant applications across a wide variety of disciplines. It emphasizes the process of formulating, solving, interpreting, and applying equations of different types to solve many different real-world problems.
Students are considered proficient in meeting their general education Quantitative Literacy requirement if they have an ACT Math score of 23 or higher or an SAT Math score of 540 or higher or SAT2016 of 570 or higher. There are several other ways students can fulfill their general education quantitative literacy requirement if they do not have ...
The Math Placement Exam or Accuplacer Exam into a General Education math course does not equal proficiency in meeting General Education Quantitative Literacy requirements. Additional information about MATH Placement.
Quantitative literacy, also called numeracy, is the natural tool for comprehending information in the computer age. The expectation that ordinary citizens be quantitatively literate is primarily a phenomenon of the late twentieth century.
In all, an overarching goal is that students learn to understand, communicate, and interpret quantitative information and mathematical ideas.
In contrast to earlier times when quantitative thinking was reserved for scientific endeavors, numeracy is now essential for deep understanding of nearly all academic fields. Indeed, the ability to reason with numbers is an essential condition for substantive discourse in many domains–not least intellectual, economic, and political.
Quantitative Literacy courses are intended to teach students how to: 1 Understand quantitative models that describe real world phenomena and recognize limitations of those models; 2 Perform simple mathematical computations associated with a quantitative model and make conclusions based on the results; 3 Recognize, use, and appreciate mathematical thinking for solving problems that are part of everyday life; 4 Understand the various sources of uncertainty and error in empirical data; 5 Retrieve, organize, and analyze data associated with a quantitative model; and 6 Communicate logical arguments and their conclusions.
A student placed in MATH 0701 is required to complete successfully MATH 0701 before enrolling in a GenEd Quantitative Literacy course or GenEd Science & Technology courses, as these courses require students to understand and perform basic computational skills .
Why study Quantitative Literacy? Most students sign up for this course to fulfill a general education mathematics requirement. And this text is certainly aimed at that general audience. But by the time the course is completed, the authors hope that you will have developed some appreciation for the usefulness and elegance of the subject. Without doubt, some level of competency and comfort in working with numerical data is needed to navigate the modern world; and we have tried to cover topics that can be used in day to day life. In this book, we will focus on problem solving and critical thinking skills. Our goal is not to prepare you just for the next math class, but to equip you with the necessary tools so that you can apply basic mathematical reasoning to a wide variety of commonly encountered problems. Along the way, we will learn basic logic, how to work with percentages and units, the basics of consumer finance, and how to use and interpret basic statistical data.
Thus, inductive reasoning can provide evidence in favor of an assertion, but cannot provide proof. Nonetheless, inductive reasoning is quite useful and even necessary; in the natural and social sciences, information gathered from observation is often used to formulate general hypotheses. Similarly, in mathematics inductive reasoning is often used to find patterns and formulate conjectures.
Technological Note: Because this was a small example, we could easily do the calculations by hand; but the program Excel is especially suited to doing recursive calculations of this kind. To solve the problem using Excel, label columns as shown, where the top left cell is A1. Then type the following formulas in the third row:
Conclusion 3. Colleges and universities should devise and establish quantitative literacy programs each consisting of foundation experience and a continuation experience, and mathematics departments should provide leadership in the development of such programs. A required course or two is not sufficient.
What quantitative literacy requirements should be established for all students who receive a bachelor's degree? Over the years, the Mathematical Association of America (MAA) has approached this question in various ways, most recently by establishing, in 1989, a Subcommittee on Quantitative Literacy Requirements (henceforth called the Subcommittee) of its Committee on the Undergraduate Program in Mathematics. The work of the Subcommittee has been similar in some respects to the efforts of the National Council of Teachers of Mathematics (NCTM) that led to its celebrated Curriculum and Evaluation Standards for School Mathematics (1989) and related publications. The recommendations from the Subcommittee can be considered to complement those in the Standards. They also should be viewed as a reasonable extension of a Standards-based high school experience to the undergraduate level.
From its inception the Mathematical Association of America (MAA) has sought to improve education in collegiate mathematics. For the past forty years, the natural MAA vehicle for interest in mathematics for general education has been its Committee on the Undergraduate Program in Mathematics (CUPM).
The accountability pressures alone can lead to a natural reexamination of the extent to which graduates are quantitatively literate, but the establishment of a program of writing across the curriculum also provides an ideal time to advance a program of quantitative literacy. The latter is true because then the parallel between mathematics across the curriculum and writing across the curriculum can be more easily grasped. Also it is easier for a faculty and others to institute changes of the magnitude suggested in a package than to try to adopt one major change followed by another.
In order for a college to have a well-defined program through which a student may become quantitatively literate, the institution must pay careful attention to the critical transitions students undergo . As preparation for the college literacy requirements, college-bound high school students should be encouraged to take as many years of mathematics as their schedules allow, and especially to take mathematics during their senior year.
There seems to be wide agreement that a well educated citizen should have some significant proficiency in mathematical thinking and in the most useful elementary techniques that go with it. In western civilization, the idea goes back at least to classical times, when four (the "quadrivium'') of the seven liberal arts considered essential for the education of a free citizen were essentially mathematical. The role of mathematics was enlarged by the Enlightenment, by the Industrial Revolution, and by many events in modern science, technology, business, and the rapid intellectual evolution of humanity generally.
The foremost objective of both liberal and professional types of higher education should be to produce well-educated, enlightened citizens, who can reason cogently, communicate clearly, solve problems, and lead satisfying, productive lives.