Scientific Computing

Note: This page contains all of the regular courses taught by this department. Not all courses are offered every year. Check the searchable schedule to see which courses are being offered in the upcoming semester.

SCMP 401 Scientific Computing Seminar

Credit: 0.5 QR

This capstone course is intended to provide an in-depth experience in computational approaches to science. Students will work on individual computational projects in various scientific disciplines. This year the course will focus on applications of parallel computing using Kenyon's Beowulf-class computing cluster and other resources at the Ohio Supercomputer Center. Prerequisites: MATH 118, completion of at least 0.50 unit of an "intermediate" course and at least 0.50 unit of a contributory course, junior or senior standing, and permission of the instructor and the program director.

SCMP 493 Individual Study

Credit: 0.25-0.5

Students conduct independent research projects under the supervision of one of the faculty members in the scientific computing program. Prerequisites: permission of the instructor and the program director.

Additional courses that meet the requirements for this major/concentration

CHEM 336: Quantum Chemistry
CHEM 370: Advanced Lab: Computational Chemistry
ECON 375: Introduction to Econometrics
MATH 118: Introduction to Programming
MATH 206: Data Analysis
MATH 218: Data Structures and Program Design
MATH 226: Design and Analysis of Experiments
MATH 328: An Introduction to Coding Theory and Cryptography
MATH 347: Mathematical Models
PHYS 140: Classical Physics
PHYS 141: Introduction to Experimental Physics I
PHYS 218: Dynamical Systems in Scientific Computing
PHYS 219: Complex Systems in Scientific Computing
PHYS 240: Fields and Spacetime
PHYS 241: Fields and Spacetime Laboratory
PHYS 493: Individual Study