For each date below, you will find the day's new definitions, the homework assignment that is due that day, any lecture notes for downloading, and the key topics that are covered that day.
This schedule is approximate and subject to change!
Monday, January 27
- Includes Section 1.1 and Section 1.2 to middle of page 18. (Notes pages 0–11) '
- What is Mathematical Modeling?
- Steps of the Modeling Process
- Group worksheet: Choosing a problem statement
Wednesday, January 29
Homework Question #1-1 is due on Wednesday, January 29.
- Includes Section 1.3 to top of page 26, pages 114–119, and pages 151–152 (Notes pages 12–29) '
- Situating Fitting data in the modeling process
- Functions you should know on sight
- Plotting data, scatterplots, proportionality
- Fitting linear data visually
- Transformations for fitting y=Cxk. and y=Ckx.
Monday, February 3
The remainder of Homework #1 due on Monday, February 3.
(.tex file)
- No new notes to download
- Modeling exponential data and population growth
- Residuals, interpreting residual plots
- Interpolation and Extrapolation
Wednesday, February 5
- Class meets in Mathematica Lab.
- Introduction to Mathematica; tutorial 1.
- Before class, download Mathematica to your home computer. (If desired.)
- Read the Mathematica part of this website.
Monday, February 10
- Includes ideas from Sections 2.3.3, 2.3.4, and 3.2. (Notes pages 30–37) '
- Includes Section 3.4. (Notes pages 38–45) '
- Regression and Least Squares
Wednesday, February 19
Homework #2 due on Wednesday, February 19.
(.tex file)
- Class meets in Mathematica Lab.
- Mathematica tutorials 2 and 3.
Thursday, February 20
- Includes Section 3.3. (Notes pages 46–52) '
- Types of Causation
- Correlation is not causation
- The R2 statistic
- Multiple linear regression
Monday, February 24
- Class meets in Mathematica Lab.
- Mathematica tutorial # 4.
Wednesday, February 26
- Includes Chapter 3 (Notes pages 53–64) '
- Ways in which a model can be good.
- Definitions: Accuracy, Descriptive Realism, Precision, Robustness, General, Fruitfulness
- College enrollment examples
- The advantages of inaccuracy: Traveling Salesman Problem
- Definition: Error, Fractional Error, Percentage Error
Monday, March 3
Project topics are due today.
- Includes Section 2.1 (Notes pages 65–68) '
- The modeling process (Notes pages 69–76) '
- Errors inherent to the modeling process
- The modeling process from start to finish
Wednesday, March 5
Homework #3 due on Wednesday, March 5.
- Includes Section 5.3A and probability (Notes pages 77–86) '
- Introduction to probability
- Determining probability of events
- Independent events
- Component Reliability
Monday, March 10
Revised project topics are due today.
- Expected Value
Exam 1 Information
- The first exam of the semester will take place on Monday, March 17.
- The exam covers all material up to but not including probability.
- Here are more details about the first exam.
- My students often ask for an example of the style of exam that I am liable to give. I am including my exam from last year. The topics covered by the exam are the same topics, but you should expect your exam to be very different because there are many ways for me to ask questions that test your knowledge on these topics. Click here for last year's exam.
Wednesday, March 12
- Question and Answer Day
Monday, March 17
- Exam 1
Wednesday, March 19
Project organizational statements are due today.
- Includes Vectors, Matrices, and Section 1.5 (Notes pages 87–94) '
- Vectors, Matrices, and multiplication
- Transition Matrices
- Leslie Matrices
- Includes Markov Chains (Notes pages 95–98) '
Monday, March 24
- Markov Chains
- Includes Random Walks (Notes pages 99–102) ' (Class Mathematica worksheet) (Class Mathematica worksheet)
- Random walks
- Gambler's ruin
- Color mixing game
- (See also: background and additional topics)
Wednesday, March 26
Continue your work on the project.
- Includes ideas from Sections 5.1 and 5.3A (Notes pages 103–117) ' (Class Mathematica worksheet)
- Simulation models
- Using Mathematica to run simulations
Monday, March 31
- (No new notes)
- If statements
- For loops
- Monte Carlo simulations
Wednesday, April 2
Homework #4 due on Wednesday, April 2.
(.tex file)
And continue your work on the project.
- Includes ideas from Section 5.1 (Notes pages 118–128) ' (Class Mathematica worksheet)
- Queuing simulations
- Collecting, plotting, and visualizing data
Monday, April 7
- In Mathematica Lab, Kiely 236
- Tutorials 5 and 6
Wednesday, April 9
Project final draft due today.
- Peer Review Day. Bring in three copies of the final draft of your paper.
— Spring Break —
Wednesday, April 23
- Includes ideas from Sections 4.1 and 4.2 (Notes pages 129–139) ' (Class Mathematica worksheet)
- Inventory Policy
- The language of optimization
- Linear Optimization
Monday, April 28
Turn in project for grading today.
- Includes ideas from Section 4.2 and 4.4 (Notes pages 140–147) '
- Linear Optimization Examples
- Integer Programming
Wednesday, April 30
- Sensitivity Analysis (No new notes)
- Worksheet
Monday, May 5
Homework #5 due on Monday, May 5.
(.tex file)
- Question and Answer Day
Exam 2 Information
- The second exam of the semester will take place on Wednesday, May 7.
- The exam covers all material in the course notes from page 77–147. (March 5 through May 5.)
- Here are more details about the second exam.
- My students often ask for an example of the style of exam that I am liable to give. I am including my exam from last year. The topics covered by the exam are the same topics, but you should expect your exam to be very different because there are many ways for me to ask questions that test your knowledge on these topics. Click here for last year's exam.
Wednesday, May 7
- Exam 2
Monday, May 12
- Presentations
Wednesday, May 14
- Presentations
Monday, May 19, 11am–1pm (Our Final Exam period)
- Presentations