PDF version - Saint Mary's University of Minnesota
PDF version - Saint Mary's University of Minnesota
PDF version - Saint Mary's University of Minnesota
Create successful ePaper yourself
Turn your PDF publications into a flip-book with our unique Google optimized e-Paper software.
Multidisciplinary Minors<br />
Scientific Computing<br />
Robyn Wangberg, Ph.D., Supervisor<br />
The multidisciplinary minor in scientific computing is a natural complement to the curriculum for majors<br />
in the natural and physical sciences, mathematics, and computer science. Focused study in the area <strong>of</strong><br />
scientific computation enriches learning in any <strong>of</strong> these disciplines, adding an applied emphasis and<br />
stressing the cross-fertilization <strong>of</strong> research methods across disciplines.<br />
The advancement <strong>of</strong> science in many fields is becoming less discipline-specific, and nowhere is this<br />
more apparent than in the common tools used for challenging computational problems. For instance,<br />
the modeling, visualization and simulation <strong>of</strong> large-scale nonlinear systems are common to many<br />
fields <strong>of</strong> science and applied mathematics. A multidisciplinary minor in scientific computation provides<br />
students with a valuable, intellectually challenging experience and marketable skills applicable in many<br />
fields. The minor will help to stimulate collaboration and exchange among faculty in the sciences. The<br />
three departments responsible for staffing the minor are computer science, mathematics, and physics.<br />
This minor may be extended to include chemistry and/or biology in the future.<br />
Scientific Computing Minor (22-23 credits)<br />
A. Required Core<br />
CS106 Introduction to Programming for Sciences<br />
CS/M/P356 Introduction to Scientific Computing<br />
CS/M/P456 Scientific Computing Project<br />
M252 Linear Algebra<br />
M/P344 Applied Mathematics/Mathematics Methods for Science<br />
ST232 Introduction to Statistics<br />
B. Two <strong>of</strong> the following courses:<br />
M310 Combinatorics and Graph Theory<br />
M315 Number Theory<br />
M341 Differential Equations<br />
M342 Numerical Analysis<br />
M361 Operations Research<br />
P340 Classical Mechanics<br />
P360 Electricity and Magnetism<br />
P370 Microcontroller Organization and Architecture<br />
P380 Quantum Mechanics<br />
ST371 Applied Regression Analysis<br />
ST373 Design <strong>of</strong> Experiments<br />
144