Quantitative Reasoning for Spring and Summer Half-Terms 1999

All students admitted to the College for the Fall Term of 1994 and thereafter must meet the Quantitative Reasoning (QR) requirement. The goal of this requirement is to ensure that every graduate of the College achieves a certain level of proficiency in using and analyzing quantitative information. Students may fulfill this requirement either by:

• successfully completing one course (of 3 credits or more) designated for full QR credit (QR/1); or
• successfully completing two courses (at least one of which must be of 3 credits or more) designated for half QR credit (QR/2).

QR courses may come from a wide range of disciplines representing the natural and social sciences, as well as some areas of the humanities.

Quantitative reasoning is first and foremost reasoning. It is not mathematical manipulation or computation, but rather the methodology used to analyze quantitative information to make decisions, judgments, and predictions. It involves defining a problem by means of numerical or geometrical representations of real-world phenomena, determining how to solve it, deducing consequences, formulating alternatives, and predicting outcomes.

Advanced Placement (AP) courses may not be used to satisfy the Quantitative Reasoning requirement. Courses transferred from another college or university do not generally carry QR credit, except in the following circumstances: (1) QR is considered fulfilled for all science, math, and computer science concentrators who transfer in the prerequisites; (2) Transfer credit for Physics 125, 126, 140, 240 and any statistics course receive (QR/1) credit. Courses used to satisfy the QR requirement may also serve to satisfy other College requirements; e.g., students who are working towards an A.B. or B.S. degree may elect a QR course that also counts toward meeting the Area Distribution, Concentration, or other College requirement.

This list is subject to change without notice by the College of LS&A Curriculum Committee.

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Spring Half-Term Courses

Astro. 111. Introductory Astronomy: The Solar System. (4). (NS).

Section 101.
Instructor(s): Richard Sears (rlsears@umich.edu)

Astro. 112. Introductory Astronomy: Stars, Galaxies, and the Universe. (4). (NS).

Section 101.
Instructor(s): Gordon MacAlpine (gmm@umich.edu)

Chem. 130. General Chemistry: Macroscopic Investigations and Reaction Principles. (3). (NS).

Section 100.
Instructor(s): Barbara Weathers (Barbara.Weathers@umich.edu)

Econ. 101. Principles of Economics I. (4; 3 in the half-term). (SS).

Introductory Courses Instructor(s):

Econ. 102. Principles of Economics II. (4; 3 in the half-term). (SS).

Introductory Courses Instructor(s):

Econ. 401. Intermediate Microeconomic Theory. (4). (SS).

Economic Theory and Statistics

Section 101.
Instructor(s): Jan Gerson (jgerson@umich.edu)

Econ. 402. Intermediate Macroeconomic Theory. (3). (SS).

Economic Theory and Statistics

Section 101.
Instructor(s): George Johnson (gjohnson@umich.edu)

Econ. 404. Statistics for Economists. (4). (Excl).

Economic Theory and Statistics

Section 101.
Instructor(s): E. Philip Howrey (eph@umich.edu)

Math. 115. Calculus I. (4). (MSA).

Math. 116. Calculus II. (4). (MSA).

Math. 215. Calculus III. (4). (MSA).

Physics 125. General Physics: Mechanics and Sound. (4). (NS).

Section 101.
Instructor(s):

Physics 126. General Physics: Electricity and Light. (4). (NS).

Section 101.
Instructor(s):

Physics 140. General Physics I. (4). (NS).

Section 101.
Instructor(s):

Physics 240. General Physics II. (4). (NS).

Section 101.
Instructor(s):

Soc. 210. Elementary Statistics. (4; 3 in the half-term). (MSA).

Section 101.
Instructor(s): Mary Noonan (mnoonan@umich.edu)

Stat. 100. Introduction to Statistical Reasoning. (4). (MSA).

Stat. 402. Introduction to Statistics and Data Analysis. (4). (NS).

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Summer Half-Term Courses

Astro. 112. Introductory Astronomy: Stars, Galaxies, and the Universe. (4). (NS).

Section 201.
Instructor(s): Philip Hughes (hughes@umich.edu)

Econ. 101. Principles of Economics I. (4; 3 in the half-term). (SS).

Introductory Courses

Section 201.
Instructor(s):

Econ. 101. Principles of Economics I. (4; 3 in the half-term). (SS).

Introductory Courses

Section 202.
Instructor(s):

Econ. 102. Principles of Economics II. (4; 3 in the half-term). (SS).

Introductory Courses

Section 201.
Instructor(s):

Econ. 102. Principles of Economics II. (4; 3 in the half-term). (SS).

Introductory Courses

Section 202.
Instructor(s):

Math. 105. Data, Functions, and Graphs. (4). (MSA).

Section 201.
Instructor(s):

Math. 115. Calculus I. (4). (MSA).

Section 201.
Instructor(s):

Math. 116. Calculus II. (4). (MSA).

Section 201.
Instructor(s):

Math. 116. Calculus II. (4). (MSA).

Section 202.
Instructor(s):

Math. 215. Calculus III. (4). (MSA).

Section 201.
Instructor(s):

Soc. 210. Elementary Statistics. (4; 3 in the half-term). (MSA).

Section 201.
Instructor(s): Eyster

Stat. 100. Introduction to Statistical Reasoning. (4). (MSA).

Section 201.
Instructor(s):

Stat. 100. Introduction to Statistical Reasoning. (4). (MSA).

Section 202.
Instructor(s):

Stat. 402. Introduction to Statistics and Data Analysis. (4). (NS).

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