9
Of course it depends on how much time you're willing to spend on this. If the answer is "very little" then no chance that you can say something more than "in the future this will be useful for you"...
So I start from the idea that you can devote at least one hour to this. And it better be a well prepared one, otherwise time will not be enough.
Codes: I do ...
9
I am unaware of standard mathematical texts for engineers at a level beyond that of the usual advanced engineering mathematics texts. Perhaps the closest thing in some sense might be Strang's classic Introduction to Applied Mathematics or his more recent Computational Science and Engineering. While the aforementioned books do overlap with typical advanced ...
8
Two Four ideas:
(1) "composing linear transformations": Use rotation, scaling, and shearing. If you extend to homogenous coordinates, you can include translations. Fundamental to all computer graphics. Explore which combinations of these transformations always commute, and which sometimes do not commute. In $\mathbb{R}^2$ and in $\mathbb{R}^3$. E.g., ...
7
In our department, large introductory math courses, such as calculus, linear algebra, and discrete mathematics, come together with little satellite courses called "advanced investigations in *", where * is the main course.
Students who want to explore the subject in depth register for the main course and the satellite course. Example: in main Calculus I, ...
7
I would start with a discussion with the Engineering department about what it is they want the students to learn. Teaching different skills will need different methods, so you might as well start with learning what will help you most in the short term. Personally, my experience suggests proofs are likely to be very low priority, with a focus on calculation ...
7
Not certain this satisfies your set of criteria, but...
This is a challenging but wonderful book. Arnold emphasizes
the geometry of manifolds throughout:
differential forms,
Riemannian geometry, symplectic geometry, Lie groups and Lie algebras, dynamical systems, integrable systems.
Arnold, Vladimir Igorevich. Mathematical Methods of Classical Mechanics. ...
7
It occurs to me that maybe you can approach this from the viewpoint of approximations. Briefly, I’m thinking of the kinds of approximations they likely use in practice, and which are often given in an appendix at the back of texts, such as the following:
For $x \approx 0$ we have $\frac{1}{1-x} \approx 1+x$ (multiply numerator and denominator of left side ...
7
There is a big old textbook Advanced Engineering Mathematics by Kreyszig. Maybe looking at its table of contents HERE will show you what mathematics he thought was useful for engineering students.
(copied from the web site)
WILEY
Kreyszig:Advanced Engineering Mathematics, 10th Edition
Table Of Contents
Chapter 1: First-Order ODEs
Chapter 2: ...
6
Geometric Methods and Applications for Computer Science and Engineering, by J. Gallier, does the job for what concerns classical differential geometry.
Elasticity and Geometry by Audoly-Pomeau addresses a classical problem with many important applications with quite advanced math techniques.
As for Linear Algebra, I'd like to mention Applied linear algebra ...
6
Here are two activities I have used. The second does not fit in an hour, however.
(1) Give the students maybe two different sizes and thickness of paper.
Ideally, the two are quite different.
Their goal is to design a paper airplane that flies the longest distance
when launched from a standard height.
Depending how ambitious you are, you could even brush
up ...
5
(edited)
I have used Kreyszig, Advanced Engineering Mathematics, fifth edition, as an undergrad, a practicing engineer, and in grad school. I love it.
(1) It is in English, composed in English, good English, but written by a German native speaker mathematician. Not sure that this matters but might be positive.
(2) One of high repute, check out his books ...
5
Surprisingly not yet mentioned is
Advanced Mathematical Methods for Scientists and Engineers by Carl M. Bender and Steven A. Orszag
Below are some comments about this book I made in a 10 January 2007 sci.math post archived at Math Forum:
I had a course out of this book 23 years ago. If someone or some company had approached me (or I had known who to ...
5
I strongly agree with Douglas Zare that it is highly dependent on what incoming students are prepared for in terms of their mathematical background beforehand. As far what is the minimum calculus knowledge that engineers need, this too is dependent on what field of engineering they go into. I know several engineers that use no more than basic trigonometry ...
5
I think you need to build a support network locally. Even if it means going outside the university to a nearby university, you will need mentors, fellow TA's, administrators, and others to help you not just understand and solve the problems you currently see, but to anticipate problems and improve your efforts as a teaching assistant.
Even going outside ...
5
Let me suggest the following story: if we consider $z = x+iy$ as a point in the complex plane then we have $z = (x,y)$ in the usual Cartesian coordinate notation. Since
$$ z=x+iy = x(1)+y(i) = x(1,0)+y(0,1)$$
we have $1=(1,0)$ and $i=(0,1)$ in this approach. Viewing $z=(x,y)$ as a vector based at the origin we have:
$$ \boxed{z = r\hat{r}} $$
where $\hat{r}...
5
Are you an undergrad majoring in aerospace engineering, or are you interested prerequisites from graduate programs in aerospace engineering?
In either case, the following syllabus may help you consider courses as an undergrad so that you can round out strictly calculus coursework..
For an undergrad program, note the following syllabus.
For great ...
4
"What is my mission when I teach math for engineering students?"
I think it is possible to zig-zag between applications and appreciation of
the history and the beauty of the mathematics underlying those applications.
An example is the "simple suspension bridge," which follows
a catenary.
There is interesting history here, in that Galileo realized the curve ...
4
I learned linear algebra (decades ago) as an "adjunct" to "engineering mathematics."
The focus of most engineering students is "systems of equations." As long as you remember that, you're fine. So engineers are most focused on those parts of linear algebra that provide solutions to systems of equations, including lower echelon row reduction and eigenvalue ...
4
I'd suggest having a look at Geometric Mechanics by Darryl Holm.
The theme of developing mechanics in the framework of differential geometry has a considerable record at the graduate level, as indicated in Dave Renfro's comment. At a level suitable for undergraduates, though, the pickings may be slim. Somewhat more accessible than Abraham and Marsden ...
4
You do not mention differential equations, but this is a very useful topic in engineering, aerospace included, and the list of topics/courses you have studied mean that you would be well prepared for it.
A relevant book is Goodwine's Engineering Differential Equations:
This book is a comprehensive treatment of engineering undergraduate differential ...
3
I'm currently looking at Steinmann, Geometrical Foundations of Continuum Mechanics (Springer 'Lecture notes in Mathematics and Mechanics' series), as a way of making differential forms relevant and palatable to senior engineering undergraduates.
3
You should start by figuring out what you want students to understand and be able to do with the material that you will teach them. This includes issues of course content but you should also consider the kinds of exercises and projects that you will assign to students.
Some questions that you should consider include:
What should the balance between ...
3
In computer science, specifically in combinatorics (much used in algorithm analysis) one important task is to derive asymptotic behaviour of sequences, which in turn are easiest to get in form of a generating function. The techniques used are heavily based on complex analysis. See for example Flajolet and Sedgewick's "Analytic Combinatorics" (Cambridge ...
3
Dave Renfro's advice [below] in his comment to your question is eminently sensible. Familiarize yourself with this particular course and what is expected of the student so you can help him/her best.
I would also add that many engineering mathematics courses, but certainly not all, have less emphasis on proofs than courses on the same topic intended for ...
3
I would consider to add two items to the list, both from a systems slant:
Predator prey relations. The behavior can be graphically investigated, but the actual solution function is not analytically soluble. Any solid ODE book will cover this. E.g. Speigel's
https://www.amazon.com/Applied-Differential-Equations-Murray-Spiegel/dp/0130400971#...
3
I liked this Discrete Mathematics: An Open Introduction, by Oscar Levin, for generating functions, so I'm guessing it will be good for recurrence relations.
3
Here is the stereotypical undergraduate engineering math curriculum in the US. Of course every person/school is different, but this is a useful reference point for initial awareness. (The last sentence is actually covered by the single word "stereotypical" but some of the caveat Na...police need to be told twice.)
SEM 1: limits, differential calculus, ...
2
You could make the connection between Fourier synthesis and (musical) synthesizers. Maybe you could play some interesting tones from a synthesizer. How do we figure out what goes into the synthesis? Fourier analysis.
A lot of students will (sadly) shut down while you're telling them things that "won't be on the test". It would help if you could repeatedly ...
2
It is an error to begin courses on differential forms, thinking that the multilinear algebra language is easily grasped. A good sequence of knowledge is to take on vector duality and rank two tensors. Here one can
develop the basis on mechanics. Try Alessandra Iozzi's notes called Multilinear algebra and applications that can be found on Notes, to see a ...
2
Finally there is a book
https://www.crcpress.com/A-MatLab-Companion-to-Complex-Variables/Wunsch/p/book/9781498755672
"MATLAB companion to complex variables" published Aug 2016. I can't wait till my library acquire this book.
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