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Merge pull request #42 from SlaybaughLab/april
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added course description for ME 280A and ENG 231 for issue #40.
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Rachel Slaybaugh authored May 22, 2017
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32 changes: 28 additions & 4 deletions general-resources/courses.md
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Expand Up @@ -52,7 +52,7 @@ variations methods, Hamilton-Jacobi equations and conservation laws

### Possibly Useful
- 104: Introduction to Analysis
The real number system. Sequences, limits, and continuous functions in R and R.
The real number system. Sequences, limits, and continuous functions in R.
The concept of a metric space. Uniform convergence, interchange of limit
operations. Infinite series. Mean value theorem and applications. The Riemann
integral.
Expand Down Expand Up @@ -92,6 +92,21 @@ students in applied mathematics, physics, engineering or other mathematical
sciences. The overall purpose of the course will be to develop non-numerical
tools for understanding and approximating solutions of differential equations.

+ E 231: Mathematical Methods in Engineering
This course offers an integrated treatment of three topics essential to modern
engineering: linear algebra, random processes, and optimization. These topics
will be covered more rapidly than in separate undergraduate courses covering
the same material, and will draw on engineering examples for motivation.
The stress will be on proofs and computational aspects will also be highlighted.
It is intended for engineering students whose research focus has a significant
mathematical component, but who have not previously had a thorough exposure
to these topics. (F)

**Note:** Good class for graduate student who hasn't had exposure to linear
algebra, statistics, and optimization in the past. This is probably not very
useful for people who have already taken lots of linear algebra, statistics,
or optimization courses.

- 273: Advanced Topics in Nuclear Methods

- 275: Topics in Applied Mathematics
Expand Down Expand Up @@ -135,9 +150,18 @@ sorting, FFT, etc. Survey of parallel machines and machine structures. Exiting
parallel programming languages, vectorizing compilers, environments, libraries
and toolboxes. Data partitioning techniques. Techniques for synchronization and
load balancing. Detailed study and algorithm/program development of medium sized
applications. Also listed as Engineering C233

- ME 280A: finite element methods
applications. Also listed as Engineering C233. (SP)

- ME 280A: Introduction to the Finite Element Method
Weighted-residual and variational methods of approximation. Canonical
construction of finite element spaces. Formulation of element and global state
equations. Applications to linear partial differential equations of interest
in engineering and applied science.

**Note:** Do not take both the undergraduate (ME 180) and graduate versions of
this course, since there is a fair amount of overlap, with the graduate course
focusing more on understanding the method and the undergraduate course more on
using FEM software (COMSOL) for a larger variety of applications.


## Statistics for Monte Carlo (Math)
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