This version posted on: 2006-08-31

Some experience using Excel, VBA, Mathematica, Maple, or Matlab will also be very helpful, but it is not strictly a prerequisite.

Follow-up courses: Math 325 Differential Equations, Math 418 Modeling with Linear Algebra, Math 419 Advanced Math Modeling (stochastics), Math 425 Math for Scientists, Math 436 Numerical Analysis

"Final Exam" schedule: Fri, Dec. 15, 11:30-1:00

CRN 15067, 3 credit hours.

Class meetings will be mostly interactive lectures, with some time to work on problems in class, and some time to discuss homework.

Pray-Harrold 515b

andrew.ross@emich.edu

http://people.emich.edu/aross15/

(734) 487-1064, but I strongly prefer e-mail instead of phone contact.

Math department main office: Pray-Harrold 515, (734) 487-1444

Tue, Thu: 11:00am-noon and 5:00-5:30pm

I am also happy to make appointments if you cannot come to the general office hours. Please send me e-mail to arrange an appointment.

The Mathematics Student Services Center (or "Math Lab") is also here to help you, in Pray-Harrold 220. Please give them a call at 734-487-0983 to find out their hours.

Many assignments in this course will be in the form of papers, which I want to be well written. Please consult with The Writing Center for help in tuning up your writing.

Our suggested textbook is "A First Course in Mathematical Modeling, 3rd Edition" by Giordano, Weir, and Fox, published by Thomson:Brooks/Cole, ISBN 0-534-38428-5. It is not absolutely required, though. Amazon link

The textbook should be available at all the usual bookstores on and around campus. The library has a page about class textbooks that includes bookstore addresses, and also information about the student government's Bookswap.

We will use either the WebCT or eCollege system. As of now, it is unclear which one we will use. Either way, you are expected to keep an eye on your scores using the system, and get extra help if your scores indicate the need.

- *Towing Icebergs, Falling Dominoes, and Other Adventures in Applied Mathematics by Robert B. Banks, and its sequel:
- *Slicing Pizzas, Racing Turtles, and Further Adventures in Applied Mathematics by Robert B. Banks
- Race car vehicle dynamics by William F. Milliken, Douglas L. Milliken
- Going Faster: Mastering the Art of Race Driving by Carl Lopez
- Logistics Systems Analysis by Carlos Daganzo
- The nature of mathematical modeling by Neil Gershenfeld

- Microsoft Excel, or other spreadsheet software
- Mathematica, Maple, or Matlab
- Numb3rs

Our primary goal is to teach you to be a good (or great!) math modeler. To be a good modeler, you need:

- Good habits and procedures, just like a scientist, and
- Knowledge of common math models.

- Get enough people together to form a few teams for the Math Contest in Modeling (MCM), February 9--12, 2007. I participated in this 3 times as an undergrad and had a lot of fun.
- Give future teachers some great ideas to show your kids how high-power math is used in the real world. You may enjoy reading Meaningful Math.
- Give computer-science students lots of interesting things to program. You may like reading this blog entry about math for programmers.
- Get everyone using Mathematica, Maple, or Matlab.
- Teach you how to communicate your math models by writing math papers and giving math presentations.

Here we show which chapters from the book we will probably cover. A star (*) denotes full coverage, a plus (+) denotes partial coverage, and no symbol denotes no coverage. For example, DTMCs (as cool as they are) will be covered in Math 419 rather than 319.

Ch 1:* difference equations, dynamical systems Ch 2:+ proportionality, similarity Ch 3:* model fitting, least-squares Ch 4:+ experimental modeling, high-order polynom, low-order polynom, splines Ch 5:+ simulation Ch 6: Discrete Time Markov Chains (DTMCs) Ch 7:* Linear Programming (LP), one-dim. line search (and add Integer Programming?) Ch 8: dimensional analysis and similitude Ch 9: graphs of functions as models Ch 10:* one-dim ODEs Ch 11:* systems of ODEs Ch 12:* Non-Linear Programming (NLP), inventorySome variations in this outline are to be expected.

Regular attendance is strongly recommended. There will be material presented in class that is not in the textbook, yet will be very useful. Similarly, there are things in the textbook that are might not be covered in class, but are still very useful. If you must miss a class, arrange to get a copy of the notes from someone, and arrange for someone to ask your questions for you.

My lectures and discussions mostly use the chalkboard, along with demonstrations in Excel and other mathematical software. I do not usually have PowerPoint-like presentations, and thus cannot hand out copies of slides.

Homework will be assigned about once a week. It will sometimes be a small problem set designed to help you understand the behavior of math models. Other times, it will involve writing up a little paper on an assigned topic. All homework should be typed.

Homework papers should be submitted on-line, where they will be checked by TurnItIn.com or a similar service. This is partly to help keep you honest, and partly to help you learn acceptable ways to cite the work of others. A side benefit is that sometimes TurnItIn finds papers relevant to your work that you would not have found otherwise!

There will be no exams, unless the class demonstrates an unwillingness to be motivated any other way.

Instead of a mid-term and a final exam, you will do a mid-term and a final project. Your results will be reported in a paper and a presentation to the class. You may work by yourself or in a team of 2 people, but no groups larger than 2 will be allowed. You may switch project partners at your will. Your project grades will each be split into roughly 75 percent for the written paper and actual work, and 25 percent for the presentation (subject to change). The final presentations will be made during the time slot reserved for the final exam.

No scores will be dropped, unless a valid medical excuse with evidence is given. In the unfortunate event of a medical need, the appropriate grade or grades will be dropped entirely, rather than giving a make-up. You are highly encouraged to still complete the relevant assignments and consult with me during office hours to ensure you know the material.

Your final score will be computed as follows:- 50 percent for all the homework together,
- 20 percent for the mid-term project, and
- 30 percent for the final project.

I support students' right to observe religious holidays without penalty. To the best of my ability, I will schedule exams to not conflict with major religions' holidays. Students are to provide advance notice to the instructor in order to make up work, including examinations that they miss as a result of their absence from class due to observance of religious holidays. If satisfactory arrangements cannot be made, the student may appeal to the head of the department.

Academic dishonesty, including all forms of cheating and/or plagiarism, will not be tolerated in this class. Penalties for an act of academic dishonesty may range from receiving a failing grade for a particular assignment to receiving a failing grade for the entire course. In addition, you may be referred to the Office of Student Judicial Services for discipline that can result in either a suspension or permanent dismissal. The Student Conduct Code contains detailed definitions of what constitutes academic dishonesty, but if you are not sure about whether something you’re doing would be considered academic dishonesty, consult with the instructor.

Students are expected to abide by the Student Conduct Code and assist in creating an environment that is conducive to learning and protects the rights of all members of the University community. Incivility and disruptive behavior will not be tolerated and may result in a request to leave class and referral to the Office of Student Judicial Services (SJS) for discipline. Examples of inappropriate classroom conduct include repeatedly arriving late to class, using a cellular telephone, or talking while others are speaking. You may access the Code online at www.emich.edu/sjs.

If you wish to be accommodated for your disability, EMU Board of Regents policy #8.3 requires that you first register with the Access Services Office (ASO) in room 203 King Hall. You may contact ASO by telephone at (734) 487-2470. Students with disabilities are encouraged to register with ASO promptly as you will only be accommodated from the date you register with them forward. No retroactive accommodations are possible.

- Changes in your name, local address, major field of study, or source of funding.
- Changes in your degree-completion date
- Changes in your degree-level (ex. Bachelors to Masters)
- Intent to transfer to another school

- Dropping ALL courses as well as carrying or dropping BELOW minimum credit hours
- Employment on or off-campus
- Registering for more than one ONLINE course per term (F-visa only)
- Endorsing I-20 or DS-2019 for re-entry into the USA