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aMore course offers in Penn State (CSE,
Physics, Engineering departments) |
Some
of the following courses may not be available in Fall 2003
- CSE 457.
CONCURRENT SCIENTIFIC COMPUTING (3:3:0) An overview
of scientific computing on modern high performance architectures emphasizing
matrix computations and drawing upon recent research in the field. Prerequisite
CSE 103, CMPSC 201C or 201F; MATH 220; MATH 230 or MATH 231.
- CSE 556 (MATH 556).
FINITE ELEMENT METHODS (3:3:0) Sobolev spaces, variational
formulations of boundary value problems; piecewise polynomial approximation
theory, convergence and stability, special methods and applications. Prerequisite:
MATH 502, MATH 552.
- CSE 557.
CONCURRENT MATRIX COMPUTATION (3:3:0) This course
discusses matrix computations on architectures that exploit concurrency.
It will draw upon recent research in the field. Prerequisites: Either
CSE 451, 455, 457, MATH 451 or 455.
- CSE 561. SEQUENTIAL
AND PARALLEL COMPLEXITY THEORY (3:3:0) Models of sequential and
parallel computers; relationships between complexity measures; simulations
and universality; resource-bounded hierarchies; lower-bound techniques.
Prerequisite: CSE 468.
- CSE 563. PARALLEL
ALGORITHMS (3:3:0) Computational aspects of VLSI: synthesis/analysis
of efficient parallel and distributed algorithms; computational structures;
models of parallel computers and their interrelationships. Prerequisite:
CSE 565.
- CSE 588 (MATH 588). COMPLEXITY
IN COMPUTER ALGEBRA (3:2:0) Complexity of integer multiplication,
polynomial multiplication, fast Fourier transform, division, and calculating
the greatest common divisor of polynomials. Prerequisite: CSE 465.
-
PHYS 527. Computational Physics
-
PHYS 597A Computational Physics II
- CSE 553 (MATH 553). INTRODUCTION
TO APPROXIMATION THEORY (3:3:0) Interpolation; remainder theory;
approximation of functions; error analysis; orthogonal polynomials; approximation
of linear functionals; functional analysis applied to numerical analysis.
Prerequisite: MATH 401; 3 credits in computer science and engineering
(CSE).
- ME 461 (E MCH) Applied
Finite Element Analysis(3cr) Fall, Spring, Summer Computer Modeling
and Fundamental analysis of solid, fluid and heat flow problems using
existing computer codes. Topic area - Design, Course Leader - Marsh.
- ME 526 (AERSP) Computational
Methods for Shear Layers (3cr) Study of Numerical solution methods
for steady and unsteady laminar or turbulent boundary layer equations
in two and three dimensions. Prerequisite : ME 540 or AERSP 423. Topic
area - Fluids, Course leader - Pauley
- ME 527 (AERSP) Computational
Methods in Transonic Flow (3cr) Numerical solution of Partial
differential equations of mixed type, with emphasis on transonic flows
and separating boundary layers. Prerequisite : ME 540 or AERSP 423. Topic
area - Fluids
- ME 528 (AERSP) Computational
Methods for Recirculating flows (3cr) Numerical solution techniques
for laminar/turbulent flow with large recirculation zones. Both primitive
variable and stream function-vorticity equations used. Prerequisite :
AERSP 423, ME 540. Topic area - Fluids
- ME 540 Numerical solutions
applied to heat transfer and fluid mechanics problems (3cr) Application
of finite difference methods to the study of potential and viscous flows
and conduction and convection heat transfer. Topic area - Fluids, Course
leader-Mahaffy.
- ME 562 Simulation
of Mechanical systems (3cr) Introduces computational fundamentals,
including digital logic; programming languages, basic numerical analysis
and data processing, as applied to mechanical simulation techniques. Topic
area-Dynamics, Course leader-Sommer.
- ME 563 (E MCH) Nonlinear
Finite Elements (3cr) Advanced theory of semidiscrete formulations
for continua and structures; emphasizes dynamic and nonlinear problems.
Prerequisite : E MCH 461 or 560 or AG E 513. Topic area - Design, Course
leader - Michaleris.
- ME 565 Optimal Design
of Mechanical and Structural Systems (3cr) Application of numerical
optimization techniques to design of mechanical and structural systems;
design sensitivity analysis. Topic area - Design, Course leader - Lamancusa.
- ME 577 (MATH) Stochastic
systems for science and engineering (3cr) The course develops
the theory of stochastic processes and linear and nonlinear stochastic
differential equations for applications to science and engineering. Prerequisite
: MATH 414 or 418; ME 550 or MATH 501. Topic area - Control, Course leader
- Ray.
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