MATH 1060 Quantitative Reasoning section 100 (5833), Fall 2021

Catalog Entry (2021-22)

This course develops critical thinking and problem solving skills in a variety of mathematical and quantitative contexts including real life situations. The course focuses on framing real-life problems mathematically and quantitatively and then using logical and quantitative techniques, such as linear and exponential growth modeling and statistical literacy, to make predictions and decisions and to solve these problems. Not recommended for students with majors in STEM areas. No credit if Math 1250 or any higher have been completed. Cannot be used for College of Arts and Science requirements.
((C or better in MATH D004 or MATH D005) or Math Placement Level 1 or higher) and Warning: No credit if Math 1250 or higher
Credit Hours:
Foundations: Quantitative Reasoning
General Education Code (students who entered prior to Fall 2021-22):
Repeat/Retake Information:
May be retaken two times excluding withdrawals, but only last course taken counts.
Lecture/Lab Hours:
3.0 lecture
Eligible Grades: A-F,WP,WF,WN,FN,AU,I
Course Transferability:
OTM course: TMM011 Quantitative Reasoning
College Credit Plus:
Level 1
Learning Outcomes:


Martin J. Mohlenkamp,, Morton Hall 321C. The bests ways to contact me are email or Microsoft Teams. Do not hesitate to contact me with questions or to make an appointment.
Web page:
Class hours/ location:
In the event of significant improvement or worsening of the pandemic, we may consider having more or fewer in-person meetings.
G. Foley, T. Butts, S. Phelps, D. Showalter. Advanced Quantitative Reasoning, Mathematics for the world around us. [ISBN: 9781631300509]. A password-protected pdf version of the text is available in the class BlackBoard.
You will be randomnly assigned to a group of 4. The groups will be reset twice during the semester. You will rate your group-mates on their contribution to group activities.
Course Components
Group Mini-projects (15%):
These mini-projects act as warm-ups for the major projects.
Group Major Projects (30%):
There will be projects on personal finance and on statistics.
Collaboration Score (5%):
The ratings you receive from your group-mates on your contribution to group activities.
Individual Final Project (30%):
This project replaces a final exam. It will include both a presentation and a written report.
Individual Contributions and Assignments (20%):
This category includes:
  • Individual assignments (in weeks in which you do not have a group assignment)
  • Reading quizzes (if it appears that students are not doing the reading assignments)
  • Participation in class and group discussions.
Late Work
Late work is penalized 10% per day (or part thereof) late.
You can have 2 unexcused absences without penalty; for each additional unexcused absence I will subtract 0.5% from your final average. Absences of any sort will likely reduce the scores your group-mates give you and your participation score.
Your grade is computed based on the components and percentages above. An average of 90% guarantees you at least an A-, 80% a B-, 70% a C-, and 60% a D-.
Tutoring is not a sign of weakness; it is a sign that you want to learn! Get help early and often. See the Math Tutoring Lab for information on scheduling free Math tutoring.
Academic (mis)conduct:
You are allowed to use most resources, but there are some limitations.
Unlimited use, without specific acknowledgment:
  • The textbook.
  • Discussions with me.
  • The members of your group, for group activities.
Broad use, with acknowledgment:
  • Websites on mathematics, statistics, etc.
  • Explanations by other students in this class.
  • Explanations by friends, roommates etc.
Acknowledge and describe this help in writing on the problem where it was used. For example, you might write "[Name] explained to me how to do [some part] of this problem" or "I found an explanation of [concept] at the website [url]".
  • The work from students who took this class (in any of its versions at any university).
  • Websites that claim to have solutions for this class.
  • Direct copying.
If you are not sure if something is allowed, then ask me first.
A minor, first-time violation of this policy will receive a warning and discussion and clarification of the rules. Serious or second violations will result in a grade penalty on the assignment. Very serious or repeated violations will result in failure in the class and be reported to the Office of Community Standards and Student Responsibility, which may impose additional sanctions. You may appeal any sanctions through the grade appeal process.
Special Needs:
If you have specific physical, psychiatric, or learning disabilities and require accommodations, please let me know as soon as possible so that your learning needs may be appropriately met. You should also register with Student Accessibility Services to obtain written documentation and to learn about the resources they have available.
Responsible Employee Reporting Obligation:
If I learn of any instances of sexual harassment, sexual violence, and/or other forms of prohibited discrimination, I am required to report them. If you wish to share such information in confidence, then use the Office of Equity and Civil Rights Compliance.
Follow the university pandemic safety rules. If you refuse to follow these rules, in particular the rules on masking, then I will take a picture of you doing it and file a report with the Office of Community Standards and Student Responsibility for disciplinary action.

Schedule (Subject to change)

Many details will be filled in and what is present is subject to change.

Week Date Topic Textbook (read in advance) Assignments due
Mon Aug 23 Introduction
Wed Aug 25Problem-solving strategies 1. Using Problem-Solving Strategies
Fri Aug 27Problem-solving strategies (individual) Mathematical Autobiography
Mon Aug 30Mini-project 1 kick-off
Wed Sep 1Expressing numerical thinking 2. Using Numbers and Quantities
Fri Sep 3Presentations Group Mini-project 1 presentations
Mon Sep 6 Labor day holiday, no class
Wed Sep 8Spreadsheets, percents, rates 3. Using Percent, Recursion, and Sequences
Fri Sep 10Mini-project 2 kick-off Individual assignment
Mon Sep 13Compound interest 4. Developing Financial Literacy
Wed Sep 15presentations Group Mini-project 2 presentations
Fri Sep 17Major project 1 kick-off Group Mini-project 2 written reports
Mon Sep 20Bicycle gears 5. Using Ratios, Rates, and Proportion
Wed Sep 22Aspect ratios; project time
Fri Sep 24Computing grades 6. Using Averages, Weighted Averages, and Indices Group Major project 1 (finance) spreadsheets
Mon Sep 27Coin flipping Group Major project 1 (finance) written reports
Wed Sep 29presentations Group Major project 1 (finance) presentations
Fri Oct 1 Fall break, no class
Mon Oct 4Medical testing; Mini-project 3 kick-off 12. Reasoning With Probability
Wed Oct 6Interpreting graphs and tables 14. Making Sense of Statistical Information Individual assignment
Fri Oct 8presentations Group Mini-project 3 presentations
Mon Oct 11Major project 2 kick-off 20. Conducting a Statistical Study and 15. Designing a Statistical Study Group Mini-project 3 written report
Wed Oct 13Sampling methods and bias; Frequency tables 16. Tabulating and Graphing Categorical Data to Make Informed Decisions
Fri Oct 15Summary statistics 17. Using Summary Statistics to Make Informed Decisions
Mon Oct 18Boxplots, stemplots, histograms 18. Using the Normal Distribution to Make Informed Decisions Individual assignment
Wed Oct 20Normal distributions 19. Using and Misusing the Tools and Methods of Statistics
Fri Oct 22explanatory, response, independent, and associated variables; correlation and causation Group Major project 2 (statistics) spreadsheets
Mon Oct 25Misused tools and misleading graphs Group Major project 2 (statistics) written report
Wed Oct 27presentations Group Major project 2 (statistics) presentations
Fri Oct 29Final project kick-off 32. Conducting an Algebraic Modeling Project; 38. Conducting a Geometric Modeling Project and a Final Project; 23. Using Proportional Models
Mon Nov 1Least-squares and median-median lines; Mini-project 4 kick-off 24. Using Linear Functions and Correlation
Wed Nov 3Correlation; piecewise linear functions 25. Using Piecewise-Linear and Step Functions
Fri Nov 5Power functions and models 26. Using Power Functions Individual assignment
Mon Nov 8Exponential and logistic functions and models 27. Using Exponential and Logistic Functions
Wed Nov 10presentations Group Mini-project 4 presentations
Fri Nov 12Power, exponential, logistic, and logarithmic regression 28. Using Logarithms and Re-Expressing Data Group Mini-project 4 written reports
Mon Nov 15Nets 33. Exploring Objects in Three Dimensions
Wed Nov 17Taxicab distance 37. Exploring Taxicab Geometry Final project rough draft
Fri Nov 19Fermi problems
Mon Nov 22practice presentations and questions Final project presentation draft, to use in class
Wed Nov 24 Thanksgiving holiday, no class
Fri Nov 26 Thanksgiving holiday, no class
Mon Nov 29presentations on Teams Final project presentations
Wed Dec 1presentations Final project presentations (continued)
Fri Dec 3Clean up Final project presentations (if needed)
Wed Dec 8 Final project reports due at 10am.

Martin J. Mohlenkamp

Last modified: Wed Nov 17 13:22:13 UTC 2021