What am I
doing here?
At
the end of this course, your skill with a variety of commonly used
mathematical and numerical methods in physics in engineering (as listed
below) will be substantially increased. You should already have some
prior exposure to most of these techniques through you calculus and
differential equations courses. We will focus on the practical rather
than the theoretical aspects of each technique, but there will naturally
be some theory involved. The topics include derivatives and partial
derivatives, infinite series (including Fourier series and Taylor
series), vector calculus, complex numbers, linear algebra, tensors,
differential equations, and probability. There will also be some
examination of commonly used numerical techniques.
What do I
have to read?
The
textbook is: Mathematical Methods in the Physical Sciences, by
Mary Boas (3rd edition, Wiley). This book
is very readable. |
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Final Exam:
The final
exam will be held on Wednesday, May 14, 2025, from noon to 2:30 pm, and
will be comprehensive.
Assignments:
Homework
will be done primarily on
CAPA
this semester. However, some assignments will also require submission of
Mathematica documents, or other supporting written work. This work will
be graded on clarity (a combination of neatness and completeness) and
presentation quality. Be warned: an answer is not the same as a
solution. Assignments that are too hard to understand are also too hard
to grade, and will receive zeroes.
-
Here are some tips for successful Mathematica submissions:
-
•
Use
the correct filename, EXACTLY. Do not change or misplace a
single character. Be aware
- that
you may have already instructed your computer to lie to you
(!) about your file names
- (most
specifically, to hide the extensions from you). You will find that this
practice is always
- and forever unacceptable for scientists. It is expected that you will correct this on
your
-
computer immediately upon reading this sentence for the
first time.
-
- •
In
a text cell, put your name and the assignment number into
the top of the worksheet. Also, label
-
- each individual problem with the corresponding problem
number in a text cell.
-
- •
Do
the assignment correctly. Make sure your final solution is
not just a “naked” number floating
- without sufficient context.
-
- •
Choose
reasonable and unique variable names.
-
- •
Run
your entire notebook as a whole before
saving and submitting!
! ! !
-
- •
Appearance counts: your work should be reasonably spaced and
(* documented *).
-
- •
Supplement your equations with text and/or diagrams when necessary.
A third party who is not in
- the class should be able to
determine
both the question and the answer from your solution,
- without needing
to even see the assignment itself.
-
- •
Plots
should have a sufficient and reasonable range for the independent
variable. Contour
- and surface plots should have correct aspect
ratios.
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-
What is the course schedule?
Here is the anticipated schedule:
Class |
Date |
Topic |
1 |
Wednesday, January 22 |
Infinite Series [Ch. 1] |
2 |
Monday, January 27 |
Series II; Taylor series and
approximations of derivatives [Ch. 1] |
3 |
Wednesday, January 29 |
Vector calculus I: dot,
cross, del, and grad [Ch. 6] |
4 |
Monday, February 3 |
Vector calculus II:
divergence, curl, Laplacian [Ch. 6] |
5 |
Wednesday, February 5 |
Numerics:
Plotting with Mathematica |
6 |
Monday, February 10 |
Derivatives/Chain rule
[Review/Ch. 4] |
7 |
Wednesday, February 12 |
Complex analysis I [Ch. 2] |
8 |
Monday, February 17 |
Complex analysis II [Ch. 2] |
9 |
Wednesday, February 19 |
Numerics:
General computing with Mathematica |
10 |
Monday, February 24 |
Exam #1 (covers classes 1-8) |
11 |
Wednesday, February 26 |
Linear algebra I [Ch. 3] |
12 |
Monday, March 3 |
Linear algebra II [Ch. 3] |
13 |
Wednesday, March 5 |
Numerics: Curve fitting |
14 |
Monday, March 10 |
Eigenvalues & Eigenvectors [Ch. 3] |
15 |
Wednesday, March 12 |
Tensors [Ch. 10] |
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No class: Spring Break |
16 |
Monday, March 24 |
Coordinate Transformations [Ch. 10] |
17 |
Wednesday, March 26 |
Multi-variable integration review with Numerics
[Review/Ch. 5] |
18 |
Monday, March 31 |
1st
order ordinary differential equations (separation of variables)
[Ch. 8] |
19 |
Wednesday, April 2 |
2nd
order ordinary differential equations (constant coefficients)
[Ch. 8] |
20 |
Monsday, April 7 |
Exam #2 (covers classes 9-17) |
21 |
Wednesday, April 9 |
Numerics:
Differential equations (Mathematica DSolve, NDSolve) |
22 |
Monday, April 14 |
Fourier series I [Ch.7] |
23 |
Wednesday, April 16 |
Fourier series II & Fourier Transforms [Ch. 7] |
24 |
Monday, April 21 |
Partial differential equations (heat equation) [Ch. 13]
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Wednesday, April 23 |
No class: GREAT Day |
25 |
Monday, April 28 |
Partial differential equations (wave equation) [Ch. 13] |
26 |
Wednesday, April 30 |
Probability: interpreting a pdf, counting, “choosing” [Ch. 15] |
27 |
Monday, May 5 |
Probability: common distributions (normal, binomial, Poisson)
[Ch. 15] |
28 |
Wednesday, May 7 |
Statistics: standard deviation [Ch. 15] |
{29} |
Wednesday,
May 14 |
Final Exam (comprehensive): noon
|
- Assignments are due every
Thursday morning from January 30 through May 1 (except March
20).
-
Also, because “study day” is a Thursday this year, Assignment
#14 is instead due on Friday, May 9.
-
-
What if I have trouble with the homework?
Visit me during online office hours
(see times listed above) and I’ll try to point you in the right
direction. In fact, you are required to use office hours to
ask a relevant question at
least once in each of two different calendar months. Remember that
all learning and all skill comes from doing, not seeing. Every part
of every problem that you let somebody else do for you is something
that you are deciding that you just don’t want to learn. You will
not have their help on exams!
-
So for
this course, use of online homework solutions (e.g., Chegg) or AI
(e.g., ChatGPT) is considered academic dishonesty. Do your own work!
Learning Outcomes
At the end of this
course, students will:
- Gain
proficiency in taking derivatives and partial derivatives
- Gain
proficiency in the use of geometric series, power series, Fourier
series, and Taylor series
- Gain
proficiency in the use of vectors and vector operators
- Gain
proficiency in the use of complex numbers
- Gain
proficiency in the use of linear algebra and tensors
- Gain
proficiency in the use of differential equations
- Gain
proficiency in basic probability and statistical analysis
- Gain
proficiency in some basic types of numerical analysis using tools in
Mathematica and Excel
- Learn multiple
practical uses for each of the above topics.
Also, the college
provides information at the following URL relating to a variety of
topics:
https://wiki.geneseo.edu/display/PROVOST/Syllabus+Resources+Related+to+Student+Success
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