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Personal Finance by Rachel Siegel and Carol Yacht is a comprehensive Personal Finance text which includes a wide range of pedagogical aids to keep students engaged and instructors on track.

This book is arranged by learning objectives. The headings, summaries, reviews, and problems all link together via the learning objectives. This helps instructors to teach what they want, and to assign the problems that correspond to the learning objectives covered in class.

Personal Finance includes personal finance planning problems with links to solutions, and personal application exercises, with links to their associated worksheet(s) or spreadsheet(s). In addition, the text boasts a large number of links to videos, podcasts, experts' tips or blogs, and magazine articles to illustrate the practical applications for concepts covered in the text.

This text provides an overview of personal finance, containing topics on financial planning, buying a home, risk management, budgeting, investing, and career opportunities. This text is being used for an upper-division Consumer Economics course at the University level.

This lesson takes a look at the taxes and other deductions that are taken out of a paycheck.  Students will also learn how to read a pay stub and will be able to differentiate between gross pay and net pay.

This lesson will help students explore different budgeting tools that will identify where their income is coming from and recognize the different categories they will need to budget their expenses to manage their money wisely.

Studies the role of the consumer in the economy and addresses problems of financing individual and family needs, including budgeting, banking relationships, charge accounts, installment buying, insurance, wills, real estate investing, and personal taxes.

This resource is designed to aid in the terms and costs associated with car insurance.  

Through this assessment, students will learn how to establish realistic financial goals and create their own personal budget to support those goals. 

Bankruptcy is the situation is when a person or other economic agent that owes more money than they will be able to pay back. In the United States, people who declare personal bankruptcy can do so under two provisions of the United States Bankruptcy Code, Chapter 7 or Chapter 13. Under the provisions of Chapter 13, some kinds of debt are restructured so that at least some of the debts are repaid. However under Chapter 7, some kind of debts are completely eliminated. In this video, we explore some of the differences between Chapter 7 or Chapter 13 bankruptcies, and some of the considerations when people consider these forms of bankruptcy need to think about. Created by Sal Khan.

This curriculum unit, exploring the energy in food and the thermodynamics of cooking, will include 5 days of 80-minute lessons in which the students will pick a particular food to study. The food will either need to be purchased or produced, and will need to be a food that begins as batter or liquid and solidifies during cooking. For those students who, for any reason, cannot bring in the food, they will be provided a brownie, cupcake, or other common food item. The project will contain two main components or parts. First, the energy stored within the food will be analyzed by applying mathematics. This will require conversion between a common physics unit of kilojoules (kJ) and a common household unit of kilocalories (kcal, CAL or Calories). Students will then need to apply their knowledge of work and energy conservation to provide an example of physical exercise that would be required for them to expend an equal amount of energy that is contained in their food. If a student is uncomfortable sharing their own mass, they may use the common example of a 70-kg person. The second part of their project will involve them using experimental data to determine the heat diffusion constant for their particular food by using a method similar to that described by Rowat et al. published in 2014, “The kitchen as a physics classroom10.” This can be done by placing several thermocouples in their food sample (or probing with toothpicks as will be described later) while heating until the center of the food gets to a desired temperature. Once the diffusion constant is determined, it can then be used to derive an equation that will allow the students to determine the required cooking time based on the size of the food sample. Although larger meals may be interesting samples for the experiment, the food samples must remain reasonably small so that the experiment can be completed within a single class period and can be cooked using toaster ovens or small classroom heaters. Students, in groups of 2-3, will be required to share their data with the class so that the results can be discussed. Students will be graded on their mathematical analysis and an accurate derivation of an equation to predict cooking time based on their measured diffusion constant. Teacher checks will be structured strategically throughout the process to ensure student projects meet the requirements and that student groups remain on pace. By relating energy in food to exercises with equal outputs, and by generating equations to ensure foods will be cooked properly, students not only learn physics in an engaging way but also learn how physics can be used to tackle real-world problems.

The Piggy Bank Primer: Budget and Saving e-book for 7 through 9 year olds uses a story, activities, and puzzles to introduce basic economic concepts saving, savings plan, spending, costs, benefits, goods, services, and opportunity cost.

18.311 Principles of Continuum Applied Mathematics covers fundamental concepts in continuous applied mathematics, including applications from traffic flow, fluids, elasticity, granular flows, etc. The class also covers continuum limit; conservation laws, quasi-equilibrium; kinematic waves; characteristics, simple waves, shocks; diffusion (linear and nonlinear); numerical solution of wave equations; finite differences, consistency, stability; discrete and fast Fourier transforms; spectral methods; transforms and series (Fourier, Laplace). Additional topics may include sonic booms, Mach cone, caustics, lattices, dispersion, and group velocity.

Principles of Computer System Design: An Introduction is published in two parts. Part I, containing chapters 1-6, is a traditional printed textbook published by Morgan Kaufman, an imprint of Elsevier. Part II, containing chapters 7-11, is available here as an open educational resource.
This textbook, an introduction to the principles and abstractions used in the design of computer systems, is an outgrowth of notes written for 6.033 Computer System Engineering over a period of 40-plus years. Individual chapters are also used in other EECS subjects. There is also a web site for the current 6.033 class with a lecture schedule that includes daily assignments, lecture notes, and lecture slides. The 6.033 class Web site also contains a thirteen-year archive of class assignments, design projects, and quizzes.

This course is an introduction to discrete applied mathematics. Topics include probability, counting, linear programming, number-theoretic algorithms, sorting, data compression, and error-correcting codes. This is a Communication Intensive in the Major (CI-M) course, and thus includes a writing component.

Project Euclid's mission is to advance scholarly communication in the field of theoretical and applied mathematics and statistics. It provides access to independent and society journals publishing in these areas. Through the site users can view tables of contents and article abstracts and benefit from a system offering full-text searching, reference linking, and cross-linking to Math Reviews, Zentralblatt, and CrossRef. The site also offers monographs and conference proceedings in these fields.

Math in Real Life (MiRL) supports the expansion of regional networks to create an environment of innovation in math teaching and learning.  The focus on applied mathematics supports the natural interconnectedness of math to other disciplines while infusing relevance for students.  MiRL supports a limited number of networked math learning communities that focus on developing and testing applied problems in mathematics.  The networks help math teachers refine innovative teaching strategies with the guidance of regional partners and the Oregon Department of Education.

The ability to quantify the uncertainty in our models of nature is fundamental to many inference problems in Science and Engineering. In this course, we study advanced methods to represent, sample, update and propagate uncertainty. This is a "hands on" course: Methodology will be coupled with applications. The course will include lectures, invited talks, discussions, reviews and projects and will meet once a week to discuss a method and its applications.

This tasks is an example of a mathematical modeling problem (SMP 4) and it also illustrates SMP 1 (Making sense of a problem). Students are only told that there are two ingredients in the pasta and they have a picture of the box. It might even be better to just show the picture of the box, or to bring in the box and ask the students to pose the question themselves.