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Computational Models and Methods. 5 Semester Hours. Introduction to the principles and approaches of computational science through the use of standard scientific problem solving methods. This includes the understanding, development, and use of mathematical models as well as their effective computer implementation using languages such as Mathematica, C/C++, FORTRAN, or Pascal. Approximately fifteen models in eight categories (continuous vs. discrete, static vs. dynamic) will be investigated. These models are adapted from a variety of scientific disciplines. Simulation and optimization techniques will also be discussed and used, together with the study of such topics as the SI System of physical units and floating-point arithmetic. Appropriate visualization strategies will be discussed. Each student will undertake a realistic modeling project in one of the sciences. Laboratory required. Prerequisites: MATH 201 (Calculus I), COMP 150 (Computer Programming I) or equivalent with permission of the instructor. This is a new course, designed by Jim Noyes, which was inaugurated during the Spring Semester 1999. |
