2009-2010 FSU Undergraduate Bulletin
Department of Scientific Computing
College of Arts and Sciences
Chair: Max D. Gunzburger
Program Overview
Over the last few decades, computations have joined theory and experimentation to form the three pillars of scientific discovery and technological design. Many of the important problems facing society can only be solved by teams of individuals from a variety of disciplines. Integral to these teams are computational scientists, who provide the simulation, optimization, and visualization algorithms used to solve problems on computers. The main goal of scientific computing is the development of computational tools that have applicability over a range of scientific disciplines.
The Department of Scientific Computing consists of faculty interested in the invention, analysis, implementation, and application of computational algorithms that can be applied to problems arising in several traditional disciplines such as biology and ecology, chemical engineering, chemistry, computer science, geology and geophysics, material science, mathematics, mechanical engineering, and physics and astrophysics. These faculty ensure that the Department is ideally positioned to offer innovative degree programs that impart a synergy between the mathematical and applications aspects of scientific computing, thus providing the student with extensive interdisciplinary training.
Currently the Department does not offer an undergraduate major or minor in scientific computing. However, such programs are under consideration and the interested student should contact the Department or check the departmental Web site at http://sc.fsu.edu/ for the latest information.
Definition of Prefix
ISC—Interdisciplinary Natural Science
Undergraduate Courses
ISC 3313. Introduction to Scientific Computing (3). Prerequisite: MAC 2311. Corequisite: 2312.
ISC 4933r. Selected Topics in Computational Science (3). Prerequisite: Instructor permission. May be repeated to twelve (12) semester hours.
Graduate Courses
ISC 5224. Introduction to Bioinformatics (4).
ISC 5225. Molecular Dynamics: Algorithms and Applications (3).
ISC 5226. Numerical Methods for Earth and Environmental Sciences (3).
ISC 5227. Survey of Numerical Partial Differential Equations (3).
ISC 5228. Markov Chain Monte Carlo Simulations (3).
ISC 5229. Multiscale Modeling of Materials (3).
ISC 5305. Scientific Programming (3).
ISC 5306. Programming Skills for Computational Biology and Bioinformatics (3).
ISC 5307. Scientific Visualization (3).
ISC 5314. Verification and Validation in Computational Science (3).
ISC 5315. Applied Computational Science I (4).
ISC 5316. Applied Computational Science II (4).
ISC 5317. Computational Evolutionary Biology (4).
ISC 5318. High-Performance Computing (3).
ISC 5906r. Directed Individual Study in Computational Science (1-12).
ISC 5907r. Directed Individual Study in Computational Science (1–3).
ISC 5934. Introductory Seminar on Research in Computational Science (1).
ISC 5935r. Selected Topics in Computational Science (3–12).
ISC 5936. Numerical Methods for Stochastic Differential Equations (3).
ISC 5939r. Advanced Graduate Student Seminar in Computational Science (1–3).
ISC 5948r. Graduate Internship in Computational Science (3–6).
ISC 5975r. Thesis (3–12).
ISC 6981r. Dissertation (1–12).
ISC 8963r. Master's Comprehensive Examination (0).
ISC 8964r. Doctoral Qualifying Examination (0).
ISC 8965r. Doctoral Preliminary Examination (0).
ISC 8977r. Master's Thesis Defense (0).
ISC 8982. Dissertation Defense (0).